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def cmap_map(function, cmap): """ from scipy cookbook Applies function (which should operate on vectors of shape 3: [r, g, b], on colormap cmap. This routine will break any discontinuous points in a colormap. """ cdict = cmap._segmentdata step_dict = {} # Firt get the list of points where th...
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def _save_video(img, fps, framejump, mode, ratio): """ Saves the image to a video Parameters ---------- img : np.ndarray - the image as an array fps : int - the desired frames per second of the video framejump : int - the number of pixels to move between frames mode : str - "portrai...
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def get_legislation_passed_legislature_within_time_frame( begin_date: datetime, end_date: datetime ) -> Dict[str, Any]: """See: http://wslwebservices.leg.wa.gov/legislationservice.asmx?op=GetLegislationPassedLegislatureWithinTimeFrame""" argdict: Dict[str, Any] = dict(beginDate=begin_date, endDate=end_date)...
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def find_output(directory, extension="out", abspath=True): """ Find output file in a directory. Parameters ---------- directory : str Path to folder in which output should be located. extension : str File extension of output file (default: 'out'). abspath : bool Whether ...
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def trim_mismatches(gRNA): """ trim off 3' mismatches 1. first trim to prevent long alignments past end of normal expressed gRNAs 2. second trim to mismatches close to end of gRNA """ pairing = gRNA['pairing'] # 1. index of right-most mismatch before index -40 # if no MM is...
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def validateRequest(endpoint, params): """Validate that a valid argument with the correct number of parameters has been supplied.""" if endpoint not in endpoints: helpInfo = ", ".join(endpoints.keys()) print(f"Invalid endpoint. Please use one of the following: {helpInfo}") return False ...
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def augment_sequence(seq): """ Flip / rotate a sequence with some random variations""" imw, imh = 1024, 570 if random.random()>0.5: for frame in range(len(seq)): for m in [0, 1]: seq[frame][m][0] = imw-seq[frame][m][0] # X flip if random.random()>0.5: for fram...
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def show_rules(): """Print all URL resolution rules :return: """ if os.path.exists(PATHRULES): rules = pickle.load(open(PATHRULES, "rb")) for rule in rules: print(rule + " : " + rules[rule]) else: print("Rules file doesn't exist")
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def dme(network, threshold=90, n_components=10, return_result=False, **kwargs): """ Threshold, cosine similarity, and diffusion map embed `network` Parameters ---------- network : (N, N) array_like Symmetric network on which to perform diffusion map embedding threshold : [0, 100] float,...
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def _calc_poly_pud( local_qt_pickle_path, aoi_path, date_range, poly_test_queue, pud_poly_feature_queue): """Load a pre-calculated quadtree and test incoming polygons against it. Updates polygons with a PUD and send back out on the queue. Parameters: local_qt_pickle_path (string): ...
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def constant_substitution(text, constants_dict=None): """ Substitute some constant in the text. :param text: :param constants_dict: :return: """ if not constants_dict: # No constants, so return the same text return text template = Template(text) return template.safe_...
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def zticks(model_name, dat, let): """ Read model name and return the corresponding array of z-coordinates of front side of cells. """ delzarr = delz(model_name, dat, let) arr = np.array([np.sum(delzarr[:i]) for i in range(delzarr.size+1)]) return arr
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def reformat_args(args): """ reformat_args(args) Returns reformatted args for analyses, specifically - Sets stimulus parameters to "none" if they are irrelevant to the stimtype - Changes stimulus parameters from "both" to actual values - Changes grps string values to a l...
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def load_xlsx_to_plan_list( filename, sort_by=["sample_num"], rev=[False], retract_when_done=False ): """ run all sample dictionaries stored in the list bar @param bar: a list of sample dictionaries @param sort_by: list of strings determining the sorting of scans strings include ...
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def WTERMSIG(status): """Return the signal which caused the process to exit.""" return 0
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def create_toplevel_function_string(args_out, args_in, pm_or_pf): """ Create a string for a function of the form: def hl_func(x_0, x_1, x_2, ...): outputs = (...) = calc_func(...) header = [...] return DataFrame(data, columns=header) Parameters ---...
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def remove_duplicates(df: pd.DataFrame, **kwargs: dict) -> pd.DataFrame: """ Remove duplicates entries Args: df (pd.DataFrame): DataFrame to check Returns: pd.DataFrame: DataFrame with duplicates removed """ return df[~(df.duplicated(**kwargs))]
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def mainfrozen(): """return True if we are a frozen executable. The code supports py2exe (most common, Windows only) and tools/freeze (portable, not much used). """ return ( pycompat.safehasattr(sys, "frozen") # new py2exe or pycompat.safehasattr(sys, "importers") # old py2exe ...
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def test_model(models_path: str, model_id: str): """Send test request to the model and print reply.""" from npc_engine.exporters.base_exporter import Exporter if not validate_local_model(models_path, model_id): click.echo( click.style(f"{(model_id)} is not a valid npc-engine model...
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def partitioned(items, n=3): """ >>> assert list(partitioned(range(10)))[0] == [0, 1, 2, 3] """ max_items_per_bucket, rem = divmod(len(items), n) if rem: max_items_per_bucket += 1 bucket = [] for item in items: if len(bucket) >= max_items_per_bucket: yield bucket...
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def create_x11_client_listener(loop, display, auth_path): """Create a listener to accept X11 connections forwarded over SSH""" host, dpynum, _ = _parse_display(display) auth_proto, auth_data = yield from lookup_xauth(loop, auth_path, host, dpynum) r...
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def expand_tile(expand_info): """Tile expander""" # get op info. input_desc = expand_info['input_desc'][0] attrs = expand_info['attr'] multiples = None for item in attrs: if 'multiples' in item: multiples = item['multiples'] output_shape, _, _, shape_compatible = _get_ti...
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def main(): """ pipenv run python devops/remote_dispatcher.py -r ROLE -s SCRIPT -a "ARG1 ARG2" :param -r ROLE - name of bin subdir holding the script :param -s SCRIPT - name of script to invoke :param -a ARGS - any args to invoke with script, as a string """ parsed = __use_argpar...
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def compare_system_and_attributes_csv(self, file_number): """compare systems and associated attributes""" # get objects analysisstatus_1 = Analysisstatus.objects.get( analysisstatus_name='analysisstatus_1' ) systemstatus_1 = Systemstatus.objects.get(systemstatus_name='systemstatus_1') ...
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def is_live_request(request): """ Helper to differentiate between live requests and scripts. Requires :func:`~.request_is_live_tween_factory`. """ return request.environ.get("LIVE_REQUEST", False)
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def test_all(): """GenericDB: the whole enchilada""" config = { 'gdna': 'testdata/fasta/generic.gdna.fa.gz', 'gff3': 'testdata/gff3/generic.gff3', 'prot': 'testdata/fasta/generic.prot.fa', 'source': 'local', 'species': 'Gnrc', } db = GenericDB('Gnrc', config, work...
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async def test_no_implicit_state_topic_switch(hass, mqtt_mock, caplog): """Test no implicit state topic for switch.""" entry = MockConfigEntry(domain=mqtt.DOMAIN) await async_start(hass, "homeassistant", {}, entry) data = '{ "name": "Test1",' ' "command_topic": "cmnd"' "}" async_fire_mqtt_messag...
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def download_model_from_s3(job_config, bucket, key, dest_dir): """ Download and untar a model file from S3; or print a warning message if it doesn't exist. :return: """ logger = set_logger_handlers(module_logger, job_config) s3 = job_config.initialize_s3() mod_url = 's3://{}/{}'.format(bucke...
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def get_videos(episode): """ Get the list of videos. :return: list """ videos = [] html = requests.get(episode).text mlink = SoupStrainer('p', {'class':'vidLinksContent'}) soup = BeautifulSoup(html, parseOnlyThese=mlink) items = soup.findAll('a') for item in items: try: ...
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def validate_documentation_files(documentation_dir: str, files_to_validate: List[str] = None): """Validate documentation files in a directory.""" file_paths = list(filesystem_utils.recursive_list_dir(documentation_dir)) do_smoke_test = bool(files_to_validate) validated = 0 for...
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def _add_reference_resources(data): """Add genome reference information to the item to process. """ aligner = data["config"]["algorithm"].get("aligner", None) align_ref, sam_ref = genome.get_refs(data["genome_build"], aligner, data["dirs"]["galaxy"]) data["align_ref"] = align_ref data["sam_ref"]...
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def parse_solid_selection(pipeline_def, solid_selection): """Take pipeline definition and a list of solid selection queries (inlcuding names of solid invocations. See syntax examples below) and return a set of the qualified solid names. It currently only supports top-level solids. Query syntax exa...
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def _equal(v1, v2): """Same type as well.""" if isinstance(v2, float) and np.isinf(v2): return True if isinstance(v2, str): v2 = th.string(v2) return v1 == v2
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def detete_instance_address( session: boto3.Session, allocation_id: str, association_id: str, ) -> None: """ Removes the public ip described by the given allocation and association ids """ client = session.client("ec2") client.disassociate_address( AssociationId=association_id, ...
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def cli(context: click.Context): """Main CLI function Load FB cookies into context Args: context (click.Context): click Context """ log.info("Loading cookies from environment variable.") cookies = load_cookies() context.obj = Fbook(cookies)
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def test_2d_cartesian_origin(k): """Test the value of the 2d Cartesian prior at the origin""" assert priors.log_2d_cartesian_prior(0, 0, k=k) == -np.log(k)
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def setup_value_setter(node: TtkStyle, _: TkRenderingContext): """Sets TtkStyle attribute setter""" node.set_attr = partial(_value_setter, node)
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def create(): """ Create NFT :return: None """ bpy.ops.scene.new() for nft_number in range(0, 51): generate_cubes() create_light() create_camera() create_background() # Render render(nft_number) # Remove assets...
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def dec_prefix(value, restricted=True): """Get an appropriate decimal prefix for a number. :param value: the number :type value: int or float :param bool restricted: if ``True`` only integer powers of 1000 are used, i.e. *hecto, deca, deci, centi* are skipped :return: de...
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def _download_coaching( loc_id: str, start_date: datetime.datetime, end_date: datetime.datetime = None, collection: str = "CoachingActionEntries", base = "prod", pipeline_name = "sleep_quality"): """Queries the database for given location id, source id and in given datarange. Returns ...
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def Make_Random(sents): """ Make random parses (from LG-parser "any"), to use as baseline """ any_dict = Dictionary('any') # Opens dictionary only once po = ParseOptions(min_null_count=0, max_null_count=999) po.linkage_limit = 100 options = 0x00000000 | BIT_STRIP #| BIT_ULL_IN option...
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def on_join(bot, c, e): """.""" if e.source.nick == bot.config.get("nickname"): bot.notify(c, "{} joined".format(e.target)) print(e) if e.target not in bot.config["channels"]: bot.config["channels"] += [str(e.target)] bot.dump()
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def get_published_online_date(crossref_data): """ This function pulls the published online date out of the crossref data and returns it as an arrow date object :param doi: the DOI of interest that you want the published online date for :returns: arrow date object for published online date if it exists ...
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def ingredients_available(menu_item): """Accepts a dictionary of ingedients and checks if the machine has enough to make the drink""" for item in MENU[menu_item]['ingredients']: if resources[item] < MENU[menu_item]['ingredients'][item]: print(f"There is not enough {item} to make your order....
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def print_flow_info(flow): """Print a summary of the flow information""" print('Flow %s (%s)-- Packets:%d Bytes:%d Payload: %s...' % (flow['flow_id'], flow['direction'], len(flow['packet_list']), len(flow['payload']), repr(flow['payload'])[:30]))
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def main(): """ Initialize data-analytics """ # configures basic logger logger = logging.getLogger( __name__ ) logger.setLevel(logging.INFO) handler = logging.StreamHandler(sys.stdout) handler.setLevel(logging.INFO) formatter = logging.Formatter('%(asctime)s | %(name)s | %(levelname)s ...
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def pyvcf_calls_to_sample_info_list(calls): """ Given pyvcf.model._Call instances, return a dict mapping each sample name to its per-sample info: sample name -> field -> value """ return OrderedDict( (call.sample, call.data._asdict()) for call in calls)
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def DesignPatch(Er, h, Freq): """ Returns the patch_config parameters for standard lambda/2 rectangular microstrip patch. Patch length L and width W are calculated and returned together with supplied parameters Er and h. Returned values are in the same format as the global patchr_config variable, so can be...
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def injection_file_name( science_case: str, num_injs_per_redshift_bin: int, task_id: Optional[int] = None ) -> str: """Returns the file name for the raw injection data without path. Args: science_case: Science case. num_injs_per_redshift_bin: Number of injections per redshift major bin. ...
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def setup_postgres_localhost(ctx): """ Sets up the postgres databases and roles with correct permissions on localhost """ # Setup auto-responder postgres_user = ctx.config.postgres.user # should be root user at runtime postgres_password = ctx.config.secrets.postgres.password postgres_passwo...
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def focal_general_triplet_loss(embs, labels, minibatch_size, alpha=0.2): """ NOTE: In order for this loss to work properly, it is prefered that labels contains several repetitions. In other word: len(np.unique(labels))!=len(labels) """ classes = tf.one_hot(labels,depth=minibatch_size) # Cla...
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def angle_between(v1, v2): """ Returns the angle in degrees between vectors 'v1' and 'v2'.""" v1_u = unit_vector(v1) v2_u = unit_vector(v2) return np.degrees(np.arccos(np.clip(np.dot(v1_u, v2_u), -1.0, 1.0)))
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def SUM(A: pd.DataFrame, n) -> pd.DataFrame: """Sum (Time Series) Args: A (pd.DataFrame): factor data with multi-index n: days Returns: pd.DataFrame: sum data with multi-index """ At = pivot_table(A) res = At.rolling(n, min_periods=int(n/2)).sum() res = stac...
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def _combine_batch_params(params): """Transform batch parameter strings into records. Parameters ---------- params : list of str The string should have the form "key=val1,val2,val3". Returns ------- A generator that yields a record, computing the product from the values. >>> f...
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def load_properties(filepath, sep='=', comment_char='#'): """ Read the file passed as parameter as a properties file. """ props = {} with open(filepath, 'rt') as f: for line in f: l = line.strip() if l and not l.startswith(comment_char): key_value = l....
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def resolveComponents(url): """ >>> resolveComponents('http://www.example.com/foo/bar/../../baz/bux/') 'http://www.example.com/baz/bux/' >>> resolveComponents('http://www.example.com/some/path/../file.ext') 'http://www.example.com/some/file.ext' """ parts = list(urlparse.urlparse(url)) p...
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def write(path, data): """ Writes the given data to the given file on disk :param path: str :param data: str """ path = path_utils.normalize_path(path) data = path_utils.get_relative_path(data, path) tmp = path + '.tmp' bak = path + '.bak' dirname = os.path.dirname(path) i...
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def query_add(session, *objs): """Add `objs` to `session`.""" for obj in objs: session.add(obj) session.commit() return objs
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def scale_streams(s: Stream[T], factor: T) -> Stream[T]: """ scale streams """ def scale_generator(g: Iterator[T]) -> Iterator[T]: """ scale generator """ yield next(iter(g)) * factor yield from scale_generator(g) return make_stream(scale_generator(s))
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def sd_title(bs4_object, target=None): """ :param bs4_object: An object of class BeautifulSoup :param target: Target HTML tag. Defaults to class:title-text, a dict. :return: Returns paper title from Science Direct """ if target is None: target = {"class": "title-text"} return bs4_o...
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def generate_word_feat(sentence, word_vocab_index, word_max_size, word_pad): """process words for sentence""" sentence_words = tf.string_split([sentence], delimiter=' ').values sentence_words = tf.concat([sentence_words[:word_max_size], ...
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def summarize_worker_statistics(stats, stream=sys.stdout): """Writes a summary of workers statistics to an output stream. Parameters ---------- stats : dict A dictionary of worker statistics returned from a call to :func:`collect_worker_statistics`. stream : file-like object, or...
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def report(results, n_top = 3): """ Utility function to report best scores of grid/randomsearch. results should be grid_search.cv_results_ or random_search_object.cv_results_. """ for i in range(1, n_top + 1): candidates = np.flatnonzero(results['rank_test_score'] == i) for candidate in candidates: ...
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def split_formula(formula, net_names_list): """ Splits the formula into two parts - the structured and unstructured part. Parameters ---------- formula : string The formula to be split, e.g. '~ 1 + bs(x1, df=9) + dm1(x2, df=9)'. net_names_list : list of strings A...
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def joinHostmask(nick, ident, host): """nick, user, host => hostmask Joins the nick, ident, host into a user hostmask.""" assert nick and ident and host return intern('%s!%s@%s' % (nick, ident, host))
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def message( command=0, payload_size=0, data_type=0, data_count=0, parameter1=0, parameter2=0, payload=b"", ): """Assemble a Channel Access message datagram for network transmission""" if type(command) == str: command = commands[command] assert data_type is not None a...
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def polynomial(x, degree=1, add_bias_coefs=False): """used to calculate the polynomial coefficients of a given array. Args: x (array): the input array to be calculated. degree (int, optional): polynominal degree. Defaults to 1. add_bias_coefs (bool, optional): set True if you wan to add...
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def run_function( function, function_args=(), function_kwargs={}, cancel_pending_on_interrupt=True ): """Run a function and handle interrupt signals.""" loop = asyncio.get_event_loop() task = loop.create_task(function(*function_args, **function_kwargs)) with contextlib.suppress(Keybo...
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def plot_energy_group_comparison(df: pd.DataFrame, reverse_axes: bool = False, size: float = 5.0) -> \ sns.axisgrid.FacetGrid: """ Plot energy level recovery for a group of conformation sets. :param df: DataFrame where the columns are Energy, Method, and Discovery. Energy is the energy level (kc...
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def release(increment, debug): """Performs new application version release.""" if debug: configure_logging(logging.DEBUG) project = Project() project.pull() version_str, version_summary = project.get_release_info(increment) if not version_summary: click.secho('No changes fou...
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def get_summary_mapping(inputs_df, oed_hierarchy, is_fm_summary=False): """ Create a DataFrame with linking information between Ktools `OasisFiles` And the Exposure data :param inputs_df: datafame from gul_inputs.get_gul_input_items(..) / il_inputs.get_il_input_items(..) :type inputs_df: pandas.Da...
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def reduce_puzzle(values): """Reduce a Sudoku puzzle by repeatedly applying all constraint strategies Parameters ---------- values(dict) a dictionary of the form {'box_name': '123456789', ...} Returns ------- dict or False The values dictionary after continued application o...
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def run_tests(): """Run test suite. """ with virtualenv("benlew.is"): with cd('~/repos/me'): return run("nosetests")
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def ls( # pylint: disable=invalid-name url: str, resource_type: str, headers: Dict[str, str] ) -> requests.Response: """ Get a list of all of the resources of a certain type. """ resource_url = generate_resource_url(url, resource_type) return requests.get(resource_url, headers=headers)
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def uniform(iterable): """ Returns a random variable that takes each value in `iterable` with equal probability. """ iterable = tuple(iterable) return RandomVariable({val: 1 for val in iterable})
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def remove_id3v2_footer( data ): """Remove ID3v2 footer tag if present""" pos = len( data ) - 10 while pos > 0: if data[pos:pos+3] == b'ID3' and data[pos+4] == 0: if data[pos+3] == 2 or data[pos+3] == 3: return data[:pos] + data[pos+decode_synchsafe_int( data[6:10] )+10:] elif data[pos+3] == 4: if da...
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def get_ilorest_client(oneview_client, server_hardware): """Generate an instance of the iLORest library client. :param oneview_client: an instance of a python-hpOneView :param: server_hardware: a server hardware uuid or uri :returns: an instance of the iLORest client :raises: InvalidParameterValue ...
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def get_metric(metric): """获取使用的评估函数实例. Arguments: metric: str or classicML.metrics.Metric 实例, 评估函数. Raises: AttributeError: 模型编译的参数输入错误. """ if isinstance(metric, str): if metric == 'binary_accuracy': return metrics.BinaryAccuracy() elif met...
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def validate_ucodereset(ucode): """validate that RU is asserted to reset the ucode counter at the end of the instruction""" # check conditional instructions true and false case if isinstance(ucode, dict): validate_ucodereset(ucode[False]) validate_ucodereset(ucode[True]) else: if...
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def build_model(model_params): """ Generates OpenSeesPy model of an elastic cantilever and runs gravity analysis. Assumes that length is measured in inches and acceleration in in/s2 Parameters ---------- NumberOfStories: int Number of stories StructureType: string Type of s...
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def compute_ld(chromosome, position, genotype_name, N=20): """ Returns ordered list of the N neighboring SNPs positions in high LD --- parameters: - name: snp_pk description: pk of the SNP of interest required: true type: string paramType: path - n...
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def load_user(userid): """ Flask-Login user_loader callback. The user_loader function asks this function to get a User Object or return None based on the userid. The userid was stored in the session environment by Flask-Login. user_loader stores the returned User object in current_user dur...
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def flow_read(input_file, format=None): """ Reads optical flow from file Parameters ---------- output_file: {str, pathlib.Path, file} Path of the file to read or file object. format: str, optional Specify in what format the flow is raed, accepted formats: "png" or "flo" ...
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def max_triple_product_bare_bones(nums: List[int]) -> int: """ A bare-bones O(n3) method to determine the largest product of three numbers in a list :param nums: the list of numbers :return: the highest prodict """ from itertools import combinations return max([reduce(mul, lst, 1) for lst i...
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def is_number(s: str): """ Args: s: (str) string to test if it can be converted into float Returns: True or False """ try: # Try the conversion, if it is not possible, error will be raised float(s) return True except ValueError: return False
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def killServe(): """ In the event that our local server does not get invoked, we need to kill it tenderly """ try: get("http://localhost:%s" % state.external_port, timeout=1.0) except: pass
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def get_multiple_rs_200_albums_pages(start_date: str, end_date: str) -> None: """ downloads and saves multiple pages of the rolling stone top 200 albums list for every week within the dates specified. Note: start date must be a thursday saves files for each week in form: 'canned_soup_of_rs_200_album...
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def getProxyVirtualHostConfig( nodename, proxyname,): """Gets or creates a ProxyVirtualHostConfig object.""" m = "getProxyVirtualHostConfig:" sop(m,"Entry. nodename=%s proxyname=%s" % ( nodename, proxyname, )) proxy_id = AdminConfig.getid( '/Node:%s/Server:%s' % ( nodename, proxyname ) ) sop(m,"pro...
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def relu6(name=None, collect=False): """Computes Rectified Linear 6: `min(max(features, 0), 6)`. Args: name: operation name. collect: whether to collect this metric under the metric collection. """ return built_activation(tf.nn.relu6, name, collect)
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def announcements(soup): """ ** Announcements Tab** """ try: _div = soup.find('div', {'class':'ex1'}) z= _div.find_all('a') return True,collection(z) except Exception as e: return False,[str(e)]
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def main(): """MinCostFlow simple interface example.""" # Define four parallel arrays: start_nodes, end_nodes, capacities, and unit costs # between each pair. For instance, the arc from node 0 to node 1 has a # capacity of 15 and a unit cost of 4. start_nodes = [0, 0, 1, 1, 1, 2, 2, 3, 4] end_nodes = [1, 2...
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def _capture(cam, *args): """ Responsible for capturing images from the camera. !!Do not call this method manually!! .. note: Refer `_initialize()` Parameters: ---------- cam: ICDA320 camera object Camera object using which capture operations needs to be performed """ ...
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def analyze_comments_page(username, repo, per_page, page, print_comments, print_stage_results): """ Analyzes one page of GitHub comments. Helping function. Parameters ---------- username : str The GitHub alias of the repository owner repo : str The GitHub repository name pe...
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def get_remotes(y, x): """ For a given pair of ``y`` (tech) and ``x`` (location), return ``(y_remote, x_remote)``, a tuple giving the corresponding indices of the remote location a transmission technology is connected to. Example: for ``(y, x) = ('hvdc:region_2', 'region_1')``, returns ``('hvdc...
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def test_compositions(): """ TEST: composition of elementary functions: (i) compositions of multiple elementary functions (ii) compositions of elementary functions & other ops (Fluxions) """ theta_vec = np.expand_dims(np.linspace(-5,5,21) * np.pi, axis=1) # composition of 2 ele...
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def ingrid(x: float, y: float, subgrid: List[int]) -> bool: """Check if position (x, y) is in a subgrid""" i0, i1, j0, j1 = subgrid return (i0 <= x) & (x <= i1 - 1) & (j0 <= y) & (y <= j1 - 1)
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def load_jsonl(path: Union[Path, str]) -> list[dict[str, Any]]: """ Load from jsonl. Args: path: path to the jsonl file """ path = Path(path) return [json.loads(line) for line in path.read_text().splitlines()]
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def getComUser(userId): """ユーザー情報を取得を処理するMapperを呼び出す サービス層のExceptionをキャッチし、処理します。 :param userId: ユーザーデータID """ try: result = __selectUser(userId) return result except OperationalError: abort(500)
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def to_rgb_array(image): """Convert a CARLA raw image to a RGB numpy array.""" array = to_bgra_array(image) # Convert BGRA to RGB. #print(array.shape) array = array[:, :, :3] array = array[:, :, ::-1] return array
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def git_version(): """ Get the full and python standardized version from Git tags (if possible) """ try: # Full version includes the Git commit hash full_version = subprocess.check_output('git describe --dirty', shell=True).decode("utf-8").strip(" \n") # Python standardized version in f...
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