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def pad_dataset_normal(tokenizer_fn): """We will pad the data. Based on name of the dataset, we will pad it accordingly Args: tokenizer_fn ([type]): [A function which returns dict of list of list] Returns: [type]: [description] """ @wraps(tokenizer_fn) def pad_fn(*args, **...
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def add_comment( post: k_models.KookaburraPost, content: str, author: settings.AUTH_USER_MODEL ) -> Optional[k_models.KookaburraComment]: """ Add a comment to a post, doing some checks beforehand. """ # Check that the post is allowed to comment if not post.commenting_allowed: return ...
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def get_profile_name(host, network): """ Get the profile name from Docker A profile is created in Docker for each Network object. The profile name is a randomly generated string. :param host: DockerHost object :param network: Network object :return: String: profile name """ info_raw...
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def S7_parabola(M,S,gamma): """ Computes the intial conditions for the disrupting galaxy. """ R1 = -55 R2 = 25-(R1**2)/100 vR = np.sqrt((2*gamma*(M+S))/np.linalg.norm([R1,R2])) if R1 == 0: vR1,vR2 = vR,0 else: theta = np.arctan(abs(R1/50)) if R2 > 0: ...
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def on_word_click(index): """ Handles the word_click event. This is fired when a player clicks on a word cell. """ # Check that user is not a spymaster team = current_user.codenames_player.team # Check game state room = current_user.room.codenames_room if not ( (room.state =...
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def test_player_net_worth(test: unittest.TestCase, player: Player, expected: float): """Asserts that the net worth of the specified player is the expected value Parameters ---------- test : unittest.TestCase the test case to run the test on player : Player the player to check the ne...
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def SetGpuClockSpeed(vm, memory_clock_speed, graphics_clock_speed): """Sets the memory and graphics clocks to the specified frequency. Persistence mode is enabled as well. Note that these settings are lost after reboot. Args: vm: virtual machine to operate on memory_clock_speed: desired speed of the m...
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def reroot_path(root: Union[str, Path], filename: str) -> str: """Returns the basename of filename, joined to root.""" return os.path.join(root, os.path.basename(filename))
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def create_compression_joint(joint, end_parent, description, point_constraint = False): """ joint need to be a joint with a child joint. Child joint is automatically found. """ end_joint = cmds.listRelatives(joint, c = True, type = 'joint') parent_transform = cmds.listRelatives(joint, p =...
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def get_simple (ftype, data, alphabet=features.DNA, sparse=False): """Return SimpleFeatures. @param ftype Feature type, e.g. Real, Byte @param data Train/test data for feature creation @param alphabet Alphabet for feature creation @param sparse Is feature sparse? @return Dict with SimpleFeatures train/test """ ...
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def checker(func, options=None): """Checks for producers methods. Print: * Alteration in objects hash. * Numpy errors. """ if options is None: options = [] @functools.wraps(func) def wrapper(*args, **kwargs): self = args[0] if hasattr(self, 'logger'): ...
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def _absolute_path(repo_root, path): """Converts path relative to the repo root into an absolute file path.""" return repo_root + "/" + path
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def run_all(): """Default function that is called by the runner if nothing else is specified""" return _make_runner(['test_fails', 'test_skipped', 'test_passes'])
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def psnr(x, y, vmax=-1): """ psnr - compute the Peack Signal to Noise Ratio p = psnr(x,y,vmax); defined by : p = 10*log10( vmax^2 / |x-y|^2 ) |x-y|^2 = mean( (x(:)-y(:)).^2 ) if vmax is ommited, then vmax = max(max(x(:)),max(y(:))) Copyright (c) 2014 ...
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def srpc(*params, **kparams): """Method decorator to tag a method as a remote procedure call. See :func:`spyne.decorator.rpc` for detailed information. The initial "s" stands for "static". In Spyne terms, that means no implicit first argument is passed to the user callable, which really means the m...
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def get_block_header_munger(module: Any, block_hash: Hash32) -> Tuple[HexStr]: """ Normalizes the inputs JSON-RPC endpoints that take a 2-tuple of `(ContentKey, bytes)` """ return (encode_hex(b"\x01" + block_hash),)
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def latlng_to_region(latlng_str): """Get region from latlng.""" lat, _, lng = latlng_str.partition(',') lat_lng = (float)(lat), (float)(lng) return geodata.get_latlng_regions(lat_lng)
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async def test_flow_import_already_configured( hass: HomeAssistant, aioclient_mock: AiohttpClientMocker ) -> None: """Test an import flow already configured.""" create_entry(hass) mock_connection(aioclient_mock) result = await hass.config_entries.flow.async_init( DOMAIN, context={"so...
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def update_node_hpss_outbound(node): """Process transfers out of an HPSS tape node.""" log.info("Processing HPSS outbound transfers (%s)" % node.name) # Fetch requests for transfer onto this node requests = di.ArchiveFileCopyRequest.select().where( ~di.ArchiveFileCopyRequest.completed, ...
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def plot_sample(sample): """Source: https://www.kaggle.com/erelin6613/openvaccine-rna-visualization""" struct = sample['structure'] seq = sample['sequence'] bg = fgb.BulgeGraph.from_fasta_text(f'>rna1\n{struct}\n{seq}')[0] plt.figure(figsize=(20,8)) fvm.plot_rna(bg) plt.title(...
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def truncated_normal(shape, mean=0.0, stddev=1.0, dtype=types.float32, seed=None, name=None): """Outputs random values from a truncated normal distribution. The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is mor...
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def task_pot(): """Re-create .pot .""" return { "actions": ['pybabel extract -F locales/babel-mapping.ini -o jackalify.pot jackalify'], "file_dep": glob.glob('**/*.py', recursive=True), "targets": ['jackalify.pot'], "clean": True, }
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def env_activate_setup_parser(subparser): """set the current environment""" shells = subparser.add_mutually_exclusive_group() shells.add_argument( '--sh', action='store_const', dest='shell', const='sh', help="print sh commands to activate the environment") shells.add_argument( '-...
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def print_summary(results: SimulationStats): """Prints a short summary regarding the populations of the simulation.""" for item in [['FOXES', results.foxes],['RABBITS', results.rabbits]]: animal = item[0] data = item[1] print(f""" [{animal}] Population total: {data.total} min: {min(data.size_pe...
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def set_rigid_link(osi, r_node, c_node, rtype): """ Create a multi-point constraint between nodes. Parameters ---------- r_node: Node Master node c_node: Node Slave node rtype: str Either 'bar' or 'beam' Returns ------- """ op_type = 'rigidLink' ...
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def track_timing(collector): """Decorator to track statistics on a function's execution time. Parameters ---------- collector : TimerStatsCollector """ def wrap(func): def timed_(*args, **kwargs): return _timed_func(collector, func, *args, **kwargs) return timed_ ...
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def GenerateStableDeviceSecret(options): """Generates a fresh stable device secret and stores it in the RO VPD.""" GetGooftool(options).GenerateStableDeviceSecret() event_log.Log('generate_stable_device_secret')
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def UrlsPath()->str: """根路由的路径""" PROJECT_CONFIG = get_configs(CONFIG_PATH) PROJECT_BASE_DIR = PROJECT_CONFIG['dirname'] return os.path.join(PROJECT_BASE_DIR, PROJECT_CONFIG['project_name'], 'urls.py')
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def aic(L, k): """ Akaike information criterion. :param L: maximized value of the negative log likelihood function :param k: number of free parameters :return: AIC """ return 2*(k + L)
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def hanging_node_threshold_comparison(pred_tactics, predprob_tactics, pred_techniques, predprob_techniques, known_pred_techniques, permutations): """ Using different combinations of thresholds retrieve all the F0.5 score macro-averaged between the post-processed predictions and the true labels. """ f05list = ...
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def build_score_matched_bins(target_scores, full_scores, num_increments=21): """build bins """ # TODO ideally build intervals for both GC and scores... # then to build bins, do a nested loop? # for score interval, for gc interval: # collect all target that match <- track count as num_target ...
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def identity(x): """Return x.""" return x
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def chunkReadPoints(chunk_id=None, chunk_layout=None, chunk_arr=None, point_arr=None): """ Read points from given chunk """ log.debug(f"chunkReadPoints - chunk_id: {chunk_id}") dims = chunk_arr.shape chunk_coord = getChunkCoordinate(chunk_id, dims) log.debug(f"chunk_coor...
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def get_columns(invoice_list): """return columns based on filters""" columns = [ _("Company") + ":Company:120", _("Trans. Group") + ":Data:180", _("Invoice Type") + ":Data:90", _("Acct. Head") + ":Data:160", _("Stock No.") + ":Link/Item:120", _("Vim Number") + ":Data:150", _("Details") ...
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def contains_domain(address, domain): """Returns True if the email address contains the given domain in the domain position, false if not.""" domain = r'[\w\.-]+@'+domain+'$' if re.match(domain,address): return True return False
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def pycond(cond, *a, **cfg): """ condition function - for those who don't need meta infos """ return parse_cond(cond, *a, **cfg)[0]
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def list_dir(path): """列出某个目录下的文件 :param path: 相对于resources目录的路径,用于查找文件夹 :type path: str :returns :返回一个包含资源目录下所有文件或者文件下的绝对路径的list """ return _current_resmgr_session().list_dir(path)
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def prepare_update_sql(list_columns, list_values, data_code=100): """ Creates a string for the update query :param list_columns: columns that are in need of an update :param list_values: values where the columns should be updated with :param data_code: data code to add to the columns :return: st...
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async def enum_coercer( result: Any, info: "ResolveInfo", execution_context: "ExecutionContext", field_nodes: List["FieldNode"], path: "Path", enum_type: "GraphQLEnumType", ) -> Any: """ Computes the value of an enum type. :param result: resolved value :param info: information re...
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def db(request): """Session-wide test database.""" # create a SQLite DB in memory _db.engine = create_engine("sqlite://") # setup models in DB Base.metadata.create_all(_db.engine) return _db
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def inference_detector_with_probs(model, img, score_thresh = None): """Inference image with the detector. Args: model (nn.Module): The loaded detector. img (str): image file. Returns: """ cfg = model.cfg cfg.model.test_cfg.rcnn.max_per_img = 50 device = next(model.param...
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def test_ipaddress_getasn(dummy_asndb): """Test IPAddress() asn lookup method""" ipaddr = IPAddress('1.1.1.1', 'Wed Dec 31 16:25:00 2013') assert ipaddr.get_asn(dummy_asndb) == dummy_asndb.lookup('1.1.1.1')[0]
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def read_test_txt(txt_file): """ read single-modality txt file :param txt_file: image list txt file path :return: a list of image path list, list of image case names """ lines = readlines(txt_file) case_num = int(lines[0]) if len(lines) - 1 != case_num: raise ValueError('case num do not equal path nu...
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def plot_hist_prop(data, plot_it=False, **histogram_kwargs): """Create histogram data (and maybe plot it) which is normalize to be an empirical mass distribution. :param data: all the relevant solving times that we have observed the mouse take :type data: list-like :param plot_it: should this function ...
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def translate(points, x, y, z): """Takes a set of coordinates and translates them in three dimensional space. The points must be a list (or tuple, or any collection really) of coordinates in the form ``(x, y, z)``, *or* a list (etc.) of objects with x(), y() and z() methods. An example would b...
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def read_rttm_lines(rttm_file_path): """ Read rttm files and return the rttm information lines. Args: rttm_file_path (str): Returns: lines (list): List containing the strings from the RTTM file. """ if rttm_file_path and os.path.exists(rttm_file_path): f = o...
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def check_connected_balanced(graph): """ :type graph: nx.DiGraph """ for v in graph.nodes(): assert graph.in_degree(v) == graph.out_degree(v) sub_graph_list = nx.weakly_connected_component_subgraphs(graph, True) for sub_graph in sub_graph_list: print 'connected component:', sub_g...
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def tversky_index(y_true, y_pred, smooth = 1, alpha = 0.7): """ Links 1. https://arxiv.org/pdf/1810.07842.pdf """ y_true, y_pred = y_cast(y_true, y_pred) tp = reduce_sum(y_true * y_pred) fn = reduce_sum(y_true * (1 - y_pred)) fp = reduce_sum((1 - y_true) * y_pred) return reduce...
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def setup_logging(verbosity: Optional[int]=None, logger_id: Optional[str]=None) -> None: """ Set verbosity of internal and relevant external loggers. If no logger_id is provided, the verbosity is applied to the root logger. """ logging.addLevelName(logging.DEBUG, "DEBUG") lo...
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def run_logged_redirect_command(cmd, out, log_file, cmd_file=None, dry_run=False): """ Run operating system command via Python ``subprocess`` and redirect output to a file and capt...
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def iter_tar(arch_f, stream=False): """Iter over tar archive, yielding (path, object-like) tuples. Args: arch_f: File object of the archive to iterate. stream: If True, open the archive in stream mode which allows for faster processing and less temporary disk consumption, but random access to the ...
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def resnet51q(pretrained=False, **kwargs): """ """ return _create_byobnet('resnet51q', pretrained=pretrained, **kwargs)
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def _feature_correlation_num(X, y, feature, n_bins=-1, return_prob=False, model=None): """Calculate proportion of true label and distribution predicted probability for a numerical feature using binning """ bin_avg = [] probs = [] # Calculating average prob requires model if return_prob and mode...
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async def list_logs( hub, ctx, name, container_group, resource_group, tail=None, **kwargs ): """ .. versionadded:: 3.0.0 Get the logs for a specified container instance in a specified resource group and container group. :param name: The name of the container instance. :param container_group: ...
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def en(s): """Returns `s` as an English location string.""" return owlready2.locstr(s, lang='en')
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def davidsonliu_fqe( hmat: Hamiltonian, nroots: int, guess_vecs, nele, sz, norb, epsilon: float = 1.0e-8, verbose=False, ): """TODO: Add docstring.""" if nroots < 1 or nroots > 2**(hmat.dim() - 1): raise ValueError("Number of roots is incor...
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def test_validator_from_absolutized(tmp_path, monkeypatch): """'from' param: check it's made absolute.""" # change dir to the temp one, where we will have the 'dir1/dir2' tree dir1 = tmp_path / 'dir1' dir1.mkdir() dir2 = dir1 / 'dir2' dir2.mkdir() monkeypatch.chdir(tmp_path) dir2 = path...
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def generate_log_filename() -> str: """Generates log filename using time. Returns: str: log filename with time. """ filename = generate_filename('log-{}.pickle') return os.path.join(MODELS_DIR, filename)
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def onBoard(top, left=0): """Simplifies a lot of logic to tell if the coords are within the board""" return 0 <= top <= 9 and 0 <= left <= 9
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def _checkforbidden(l): """Check filenames for illegal characters.""" for f in l: if b'\n' in f or b'\r' in f: raise error.StorageError( _(b"'\\n' and '\\r' disallowed in filenames: %r") % pycompat.bytestr(f) )
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def guess_first_nonoption(gparser, subcmds_map): """Given a global options parser, try to guess the first non-option without generating an exception. This is used for scripts that implement a subcommand syntax, so that we can generate the appropriate completions for the subcommand.""" import copy ...
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def _plot_enn_samples_2d(sample_df: pd.DataFrame, train_df: pd.DataFrame) -> gg.ggplot: """Plot realizations of enn samples.""" p = (gg.ggplot(sample_df) + gg.aes(x='x0', y='x1', fill='y') + gg.geom_tile() + gg.geom_point(data=train_df, size=3, stroke=1.5) + gg.s...
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def visit_btn_node_latex(self, node): """ create the latex output :param node: the btn node """ # create the macro to display the btn in the latex document # install 2 packages tcolorbox and fontawesome5 # create a sphinxbtn command macro = ( "\\usepackage{fontawesome5}\n" ...
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def square2vec(rdm): """map 2D distance matrix to [n,1] vector of unique distances. Returns distances in same order as scipy.spatial.distance.squareform.""" return rdm[np.triu_indices_from(rdm, k=1)][:, None]
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def parse_date_string(dt_string, alexa=False): """Parse the date string from the database into a `datetime` object. :param date_string: the raw date string to parse :returns: the `datetime` version of the given date string """ if(alexa): return datetime.datetime.strptime(dt_string, ALEXA_TI...
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def run_for_verb(verb, w=None): """ Run queries for a verb. Args: verb (str): Verb to run queries for. w (DBWrapper, optional): Default is None, in which case one is loaded from the cache. If w is provided, it should have the caches loaded already. """ print ...
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def _get_filepath( dataset_name: str, dir_path: Union[None, str], filename: str ) -> Union[str, ContextManager[Path]]: """ Returns the path to a decay dataset file (located either within a sub-package of ``radioactivedecay`` or within a local system directory). Parameters ---------- dataset...
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def get_frequent_queries(**kwargs): """ Gets the most frequent queries Kwargs: db: global database instance redis: global redis instance """ db = kwargs["db"] with db.scoped_session() as session: q = sqlalchemy.text( "SELECT query, calls FROM pg_stat_statemen...
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def Bellman_exp_inplace_prt(Qsa, S, action, action_list, ff=0.9, N_A=9, N_Symbols=3, disp_flag=False): """Evaluate q(s,a) using ``S`` and ``action``. Returns q(s,a). Parameters ---------- S : numpy.ndarray, shape=(N_A,) State matrix <--> state index, ``S_Idx`` action : int ...
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def add_stream(logger, fh_name, stream=None, level=None, nostderr=False, syslog_format=False, prefix=False, use_color=False): """Set up stream (stdout and stderr) logging""" if stream is None: stream = sys.stderr handle = logging.StreamHandler(stream) if syslog_format: ...
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def beh_idx_to_2p_idx(beh_indices, cam_line, frame_counter): """ This functions converts behaviour frame numbers into the corresponding 2p frame numbers. Parameters ---------- beh_indices : numpy array Indices of the behaviour frames to be converted. cam_line : numpy array P...
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def num2julian(num): """ Convert a Julian days to a matplotlib date. Parameters ---------- num : numpy.ndarray : int32 Number of days since 0001-01-01 00:00:00 UTC *plus* *one*. Returns ------- jd : numpy.ndarray : int32 Julian days. """ return num + 1721424.5
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def get_logger(module_name: str) -> logging.Logger: """ Gets a namespaced logger based on the project name and module name """ if "" == LOGGING_PROJECT_NAME: return get_fqn_logger(module_name) return get_fqn_logger("{}.{}".format( LOGGING_PROJECT_NAME, module_name ))
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async def test_verisure_no_ethernet_status(hass): """Test no data from API.""" await setup_verisure(hass, CONFIG, {}) assert len(hass.states.async_all()) == 1 entity_id = hass.states.async_entity_ids()[0] assert hass.states.get(entity_id).state == STATE_UNAVAILABLE
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def crop_and_resize_instance_masks(masks, boxes, mask_size): """Crop and resize each mask according to the given boxes. Args: masks: A [N, H, W] float tensor. boxes: A [N, 4] float tensor of normalized boxes. mask_size: int, the size of the output masks. Returns: masks: A [N, mask_size, mask_siz...
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def compute_source_flags(tod=None, P=None, mask=None, wrap=None, center_on=None, res=None): """Process masking instructions and create RangesMatrix that flags samples in the TOD that are within the masked region. This masking makes use of a map with the footprint encoded in P, so ...
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def main(m1=1.4, m2=0.3, r1=10, a0=100, eta=110, rel="off", max_time=1, out1_path=out1_path_default, out2_path=out2_path_default): """ Main function Final evolution of close neutron star binary, stripping model input variables: m1(float): mass of neutron star (NS) in M_solar m2(float): mass of...
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def _split(df, keepvars, force_numeric=False): """ Splits a dataframe into a list of arrays based on a key variable. Pass keepvars to keep variables other than the key variable """ # df = df.sort_values('__key_var__') #now done outside of function small_df = df[['__key_var__'] + keepvars] ar...
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def pmg_serialize(method): """ Decorator for methods that add MSON serializations keys to the dictionary. See documentation of MSON for more details """ @functools.wraps(method) def wrapper(*args, **kwargs): self = args[0] d = method(*args, **kwargs) # Add @module and @c...
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def test__from_string(): """ test vmat.from_string """ vma = vmat.from_string(CH4O_VMA_STR) assert vma == CH4O_VMA
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def test_write_network_single_title(view): """ Test the _write_network_single_title method. """ # set context (meant to be set through render) view.view_ctx = Mock(**{'format_url.return_value': 'http://addr:port/index.html'}) # replace root structure mocked_href_mid = Mock(attrib={}) mocked_titl...
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def variable_set_choices(name,values): """Set all possible values for a data collection parameter values: list of values""" options.variable_choices[name] = values
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def normalize_dataframes(grouped_df, year): """ Takes a dataframe which has been grouped by phrase and aggregated, and normalizes the total_occurrences and total_docs columns by dividing them by the total no. of phrases or total no. of docs in the relevant year and multiplying by 100 to create percentages. ...
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async def setup_file(config_file, cmd_args): """Set up control center from config file and command line args. Parameters ---------- config_file : str The path to the configuration YAML file. cmd_args : dict The dict with the command line arguments. Returns ------- Cente...
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def egd_get_user_lang(user=None) -> str: """If user logged use gessed language on session beginning or resumption""" if is_app_for_actual_site(): return frappe.local.lang else: return frappe_get_user_lang(user)
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def oldest_youngest(): """Get JSON Data. Compile a dictionary of all billionaires' names and ages. Find the oldest billionaire under 80, and youngest living billionaire.""" data = get_json() age_dict = {} for item in data['billionaires']: if item['age'] >= 80 or item['age'] < 0: ...
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def read_narr_mask(pickle_file_name): """Reads NARR mask from Pickle file. :param pickle_file_name: Path to input file. :return: mask_matrix: See doc for `check_narr_mask`. """ pickle_file_handle = open(pickle_file_name, 'rb') mask_matrix = pickle.load(pickle_file_handle) pickle_file_handl...
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def get_imported(context: dict) -> Dict[str, Optional[version_types]]: """Create list of imported modules in given context. Only outputs modules from given context that have conventional version attributes. Context is typically globals() or locals(). """ visited = dict() def _proc...
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def mpi_reduce(x: np.ndarray, op: Callable) -> np.ndarray: """Apply reduce operation over MPI processes.""" buffer = np.zeros_like(x) MPI.COMM_WORLD.Allreduce(x, buffer, op=op) return buffer
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def extract_columns_from_table_definition_file(xmltag, table_definition_file): """ Extract all columns mentioned in the result tag of a table definition file. """ def handle_path(path): """Convert path from a path relative to table-definition file.""" if not path or path.startswith("htt...
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def _object_type_getattr(obj, name): """Looks up the named attribute on the object's type, resolving descriptors. Behaves like _PyObject_LookupSpecial.""" _builtin()
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async def calibrate(fps_maker, positioner_id, motors, datums, cogging): """Runs a full calibration on a positioner.""" fps_maker.initialise = False fps_maker.danger = True async with fps_maker as fps: await fps.initialise(start_pollers=False) await calibrate_positioner( fps...
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def get_det_bbox_with_cls_of_img(all_boxes, img_idx): """get_det_bbox_with_cls_of_img :param all_boxes: det result :param img_idx: img idx in imageset.txt :return bboxes: N*6-dim matrix, N is number of bbox, 6 is [x1,y1,x2,y2,score,cls], the cls is the addtion information we get from this function ...
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def _multiply_calculate(a, b): # pragma: no cover """ a in GF(2^m), can be represented as a degree m-1 polynomial in GF(2)[x] b in GF(2^m), can be represented as a degree m-1 polynomial in GF(2)[x] p(x) in GF(2)[x] with degree m is the primitive polynomial of GF(2^m) a * b = c = (a(x) * ...
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def hugoniot_rho(p, rho0, c0, s, min_strain=0.01): """ calculate density in g/cm^3 from a hugoniot curve :param p: pressure in GPa :param rho0: density at 1 bar in g/cm^3 :param c0: velocity at 1 bar in km/s :param s: slope of the velocity change :param min_strain: defining minimum v/v0 val...
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def scan_with_arp(): """Komut satırından veriyi çeker. Hızlı yöntemdir. Sadece Linux'da çalışır. :return: dict --> { "MAC":"IP", "MAC":"IP",. .. } """ if platform not in ["linux", "linux2"]: rapor.warning(scan_with_arp.__name__, "Stopped: This method tested only on Linux") return {} ...
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def no_pipegraph(request): """No pipegraph, but seperate directory per test""" if request.cls is None: target_path = Path(request.fspath).parent / "run" / ("." + request.node.name) else: target_path = ( Path(request.fspath).parent / "run" / (request.cls.__...
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def name( path ): """Extracts the resource name.""" return path[1+path.rfind('/'):]
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def set_subscriber_name_loop(context: X12ParserContext, segment_data: Dict) -> None: """ Sets the Subscriber Name Loop :param context: The X12Parsing context which contains the current loop and transaction record. :param segment_data: The current segment data """ if context.loop_name == Transac...
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def report_dfa(q_0, dfa, g): """ Give a complete description of the DFA as a string """ output = "" output += "----------- DFA ----------- " + "Goal: " + g + " ----------- \n" transitions = [(i,dfa[(i,sigma)],sigma) for i,sigma in dfa] transitions.sort() for i,j,sigma in transitions: output += (f"delta({i},{s...
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