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def get_service_status(dut, service): """ @summary: Get the ActiveState and SubState of a service. This function uses the systemctl tool to get the ActiveState and SubState of specified service. @param dut: The AnsibleHost object of DUT. For interacting with DUT. @param service: Service name. ...
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from pathlib import Path def get_directory(infile): """ Get directory of infile (return str). """ directory = str(Path(infile).parents[0]) + '/' return directory
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def heat_flux_to_temperature(heat_flux: float, exposed_temperature: float = 293.15): """Function returns surface temperature of an emitter for a given heat flux. :param heat_flux: [W/m2] heat flux of emitter. :param exposed_temperature: [K] ambient/receiver temperature, 20 deg.C by default. :return tem...
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def get_http_host(request): """Obtener url con http|https mas dominio. El dominio es el obtenido de request.get_host(). Args: request (HttpRequest) Returns: str: Un string con el protocol y el domain http(s)://example.com/. """ return '{}://{}'.format('https' if request.is_sec...
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def flattenDict(dict): """ Takes a dictionary with aggregated values and turns each value into a key with the aggregated key (from dict) as the corresponding value. """ flat_dict = {p: g for g, sublist in dict.items() for p in sublist} return flat_dict
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def dict2tsv(condDict): """Convert a dict into TSV format.""" string = str() for i in condDict: string += i + "\t" + "{%f, %f}" % condDict[i] + "\n" return string
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import hashlib def calculate_hash(file_bytes): """ Will calculate the sha256 digest of the bytes provided. """ m = hashlib.sha256() m.update(file_bytes) return m.digest()
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import re def regex_token_replace(sentence: str, token: str, replacement: str) -> str: """ replace all occurrences of a target token with its replacement :param sentence: input sentence to be modified :param token: target token to be replaced :param replacement: replacement word for the target tok...
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import re def _scientific_notation(value, sci_lims, fmt): """Converts value to scientific notation Parameters ---------- value : float Value to process sci_lims : (int, int) See description in :py:func:`write_result` fmt : 'txt', 'pdf', or 'csv' File format. """ ...
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from typing import List import re def filter_paths(paths: List[str], filter_regex: str) -> List[str]: """ Filters paths from the given list. Args: paths: List of paths to be filtered. filter_regex: Regex to be used for filtering paths. Returns: List of path that satisfy regex...
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def is_completions_display_value(x): """Enumerated values of ``$COMPLETIONS_DISPLAY``""" return x in {"none", "single", "multi"}
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def validate_reponse_with_serializer(serialized_obj, response): """ Often times we wish to test a JSON response to make sure it matches expected serialization. This utility function takes in such a response and the serialization and returns true or false depending on if all fields match. """ ...
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def get_optime(mc): """ Get optime of primary in the replica set. Changed in version 3.2. If using protocolVersion: 1, optime returns a document that contains: - ts, the Timestamp of the last operation applied to this member of the replica set from the oplog. - t, the term in which the last...
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def mutate(df, **kwargs): """ Creates new variables (columns) in the DataFrame specified by keyword argument pairs, where the key is the column name and the value is the new column value(s). Args: df (pandas.DataFrame): data passed in through the pipe. Kwargs: **kwargs: keys ar...
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def import_cytoband(file, target, delimiter='\t'): """ Returns the genomic region from the cytoband composite file for a given target """ bp_chr = list() bp_coords = list() with open(file, 'r') as fh: for line in fh: fields = line.rstrip().split() if len(field...
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def get_bmap(net, m, bmap): """ Updates the B-map with the invisibles enabling marking m Parameters -------------- net Petri net m Marking bmap B-map Returns -------------- trans_list List of invisibles that enable m """ if m not in bmap:...
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from typing import List from typing import Tuple def compare_triplets(a: List[int], b: List[int]) -> Tuple[int, ...]: """ >>> compare_triplets((5, 6, 7), (3, 6, 10)) (1, 1) """ zip_ab = tuple(zip(a, b)) # alice, bob = 0, 0 # for x, y in zip_ab: # if x > y: # alice += 1 ...
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import functools def newTab(func): """ Runs the function in a new tab, then closes and switches back context once it finishes. """ @functools.wraps(func) def nt(driver, *args, **kwargs): driver.execute_script("window.open('', '_blank')") oldWindow = driver.current_wind...
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def apply(*args, func=None): """Call `func` passing unpacked args to it""" if func is None: func = args[0] return func(*args[1:]) else: return func(*args)
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def get_lowercase_action_list(action_list): """ Given a list of actions, return the list but in lowercase format """ new_action_list = [] for action in action_list: new_action_list.append(str.lower(action)) return new_action_list
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import re def humanize_placeholders(msgid): """Convert placeholders to the (google translate) service friendly form. %(name)s -> __name__ %s -> __item__ %d -> __number__ """ return re.sub( r'%(?:\((\w+)\))?([sd])', lambda match: r'__{0}__'.format( match...
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def generate_independent_parameters(rng): """Return a dictionary with values for each independent parameter.""" ret = {} ret["wiredTigerCursorCacheSize"] = rng.randint(-100, 100) ret["wiredTigerSessionCloseIdleTimeSecs"] = rng.randint(0, 300) ret["wiredTigerConcurrentWriteTransactions"] = rng.randin...
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import yaml def make_dataconfig(input_dir, sub, ses, anat, func, acquisition='alt+z', tr=2.0): """Generates the data_config file needed by cpac Arguments: input_dir {str} -- Path of directory containing input files sub {int} -- subject number ses {int} -- session number an...
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import re def first_char_index(lines, regex): """Get the index of the first position for a description character Use this to find where the first character after the : should be placed so that each comment can line up. :param lines: list of strings to find the index for :param regex: Regex to id...
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from typing import List from typing import Optional from typing import Tuple def find_by_key( input_list: List[dict], key: str, value: str ) -> Optional[Tuple[dict, int]]: """Utility method to find an element in a list of dictionary by a specific key""" for element in input_list: if element[key] =...
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def _to_signed32(n): """Converts an integer to signed 32-bit format.""" n = n & 0xffffffff return (n ^ 0x80000000) - 0x80000000
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from typing import Dict def format_error(status: int, description: str) -> Dict[str, str]: """ Uniform error format for API responses. :param status: the error status code :param description: the error description :return: a dictionary describing the error """ errors = { 400: 'Bad...
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def isempty(iterable): """ Return True if iterable is a empty object. iterable : list,tuple,str Iterable object """ if not iterable: return True else: return False
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import _struct def from_native_uint32( raw_bytes, offset ): """ Reads a native-Endian 32-bit unsigned integer from an array of bytes. """ return _struct.unpack_from( "=I", raw_bytes, offset )[ 0 ], offset + 4
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def linear_annealing(n, total, p_initial, p_final): """Linearly interpolates a probability between p_initial and p_final. Current probability is based on the current step, n. Used to linearly anneal the exploration probability of the RLTuner. Args: n: The current step. total: The total number of steps...
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def LongestFromList(ls: list): """ Determines the object with the longest length inside a list. Args: ls: A list containing an array of objects. Returns: The object with the longest length from the list. None if not applicable. """ try: current = ls[0] f...
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def remove_low_std(X,std_val=0.01): """ Function that marks columns in the feature matrix based on their standard deviation. Parameters ---------- X : pandas DF feature matrix std_val : float minimal standard deviation for one feature to not be marked Returns --...
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import pickle import base64 def decode_object(string: str) -> object: """Convert a base64 string to an object. :param string: a base64 string encoding an object :return: an object upon success, None otherwise """ try: return pickle.loads(base64.b64decode(string)) except TypeError: ...
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from typing import Counter def count_lookup(text): """Returns a lookup table for c, returning the number of characthers in text lexically smaller than c. """ char_count = Counter(text) lookup = {} current_count = 0 for c in sorted(list(set(text))): lookup[c] = current_count ...
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def fetch_url(date, country=None): """ Function fetches the url of the most recent report. :param date: datetime object :param country: str :return: str """ DATA_URL = ("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/" "csse_covid_19_dai...
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def _matches_coupling_map(dag, coupling_map): """Iterate over circuit gates to check if all multi-qubit couplings match the qubit coupling graph in the backend. Parameters: dag (DAGCircuit): DAG representation of circuit. coupling_map (list): Backend coupling map, represented as an ...
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def noop(value: float) -> float: """Don't do anything""" return value
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from typing import Mapping def parse_kv_list(params): """Create a dict from a "key=value" list. Parameters ---------- params : sequence of str or mapping For a sequence, each item should have the form "<key>=<value". If `params` is a mapping, it will be returned as is. Returns ...
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import json def json_to_string(js_dic, **kwargs): """Converts a dictionary to a string.""" indent = kwargs.pop("indent", 2) ensure_ascii = kwargs.pop("ensure_ascii", False) return json.dumps(js_dic, indent=indent, ensure_ascii=ensure_ascii, ...
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import requests def no_such_resource(url, request): """Indicate not found error, when invalid resource requested.""" return {'status_code': requests.codes.NOT_FOUND}
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def escape(st): """ Escapes the characters ``\\\\``, ``\\t``, ``\\n``, ``\\r`` and ``"`` in the given string ``st`` and returns it. """ return st.replace('\\', r'\\')\ .replace('\t', r'\t')\ .replace('\r', r'\r')\ .replace('\n', r'\n')\ .replace('\...
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def to_iterable(item_or_iterable): """ Ensures input is iterable >>> from rpw.utils.coerce import to_iterable >>> to_iterable(SomeElement) [SomeElement] Args: any (iterable, non-iterable) Returns: (`iterable`): Same as input """ if hasattr(item_or_iterable, '__iter...
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def load_from_file(ids, data_path = "."): """ Takes an array of ids or single id and loads that srt file and returns the srt files in a dictionary with IDs as keys. """ if type(ids) is int or type(ids) is str: with open(data_path+str(ids)+".srt","r") as f: data = f.read() ...
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def overlap_between(pair1, pair2): """ checks whether there is an overlap between two start/stop position pairs """ # ensure that start < stop position pair1.sort() start1, stop1 = pair1 pair2.sort() start2, stop2 = pair2 if stop1 < start2: return 0 elif stop2 < start1: return 0 else: return 1
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def _drop_geoms(gdf, geoms, series=False): """Drop a subset of geometries from a geopandas dataframe. Parameters ---------- gdf : geopandas.GeoDataFrame Dataframe of geometries to search. geoms : list Either a list or a list of lists. series : bool Search a geoseries. De...
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from functools import reduce def uniquify(iterable): """ Uniquify Iterable >>> uniquify(([1, 1, 2, 3, 3, 3, 4, 5, 5])) [1, 2, 3, 4, 5] """ return reduce(lambda l, x: l if x in l else l + [x], iterable, [])
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def get_multiple_model_method(model): """ It returns the name of the Multiple Model Chain element of the model. Parameters ---------- model : A Scikit-learn model instance Returns ------- The multiple model method for a mining model. """ if model.__class__.__n...
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def cli(ctx): """Get the list of all data tables. Output: A list of dicts with details on individual data tables. For example:: [{"model_class": "TabularToolDataTable", "name": "fasta_indexes"}, {"model_class": "TabularToolDataTable", "name": "bwa_indexes"}] "...
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import re def version_date(version): """Return date from version dev part as an integer containing digits `yyyymmdd`. Return 0 if date information is not available. """ if version and isinstance(version[-1], str): m = re.match(r'.*([12]\d\d\d[01]\d[0123]\d)', version[-1]) if m is not N...
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def get_sec_since_midnight(date): """ Return seconds since midnight >>> from datetime import datetime >>> get_sec_since_midnight(datetime(year=2014, month=1, day=1, second=42)) 42 """ midnight = date.replace(hour=0, minute=0, second=0, microsecond=0) delta = date - midnight return d...
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def set_fba_name(source, year): """ Generate name of FBA used when saving parquet :param source: str, source :param year: str, year :return: str, name of parquet """ return source if year is None else f'{source}_{year}'
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def find_text(text, parts, names = ['CHARNOSNGLQUOTE', 'CHARNODBLQUOTE']): """ If no match, return nothing. >>> grammar = "import := 'using'" >>> parts = ebnf_parser.parse(grammar)[1] >>> find_text(grammar, parts, ['digit']) Return first text matching. >>> find_text(grammar, parts, ...
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import re def load_txt_to_dict_kv(filepath, delimiter = ','): """Given a filepath, load the contents in the format key,value into a dictionary in the format (key:value) Keyword arguments: filepath -- path to text file delimiter - type of delimiter to be used, default value is ',' ...
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def get_review_permalink(review, anchor_pattern=None): """ Get the permalink for a review, optionally specifying the format of the named anchor to be appended to the end of the URL. Example:: {% get_review_permalink review "#r%(id)s-by-%(user_name)s" %} """ if anchor_pattern: r...
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import re def group_tag(string): """Extract group tag.""" left_br = '><!-- ' right_br = ' <=< ACCEPT -->' accept = re.search(left_br + '.+' + right_br, string) if not accept: return '' return re.sub(left_br, '', re.sub(right_br, '', accept.group(0)))
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def salary_columns(html_text, context='current'): """ salary_columns returns the column names for the salary information @param **html_text** (*str*): String of the HTML response from SALARY_URL @param **context** (*str*): 'current' signifies that current and future salaries are being pull...
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import string def process_line(line: str) -> list: """Removes punctuation, hyphens and withespaces from lines. """ removables = string.punctuation + '“' + '”' + "‘" + "’" mytable = "".maketrans({str(i): "" for i in removables}) line = line.replace("-", " ") line = line.replace("—", " ") ...
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import re def is_api_cloudflare_input_key(prog, inp, api): """Test input for Cloudflare key and set in the api object if so. If the input is a key input ('key:...') then set the key in the 'api' object to it. Args: prog (State): don't remove me because this function is looped over ...
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def scores(L): """Get the scores (position * alphabet score) for all words in list.""" scores = [] for key, val in enumerate(L): scores.append(val * (key + 1)) return scores
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import socket def ip_is_localhost(host_ip: str) -> bool: """ >>> ip_is_localhost('127.0.0.1') True >>> ip_is_localhost('localhost') True >>> ip_is_localhost('192.168.168.17') False >>> ip_is_localhost('192.168.168.254') False """ host_ip = socket.gethostbyname(host_ip) ...
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def _GetElemByName(name, from_list): """Gets an element from the given list by its name field. Raises an error if it doesn't find exactly one match. """ elems = [e for e in from_list if e.name == name] if len(elems) != 1: raise ValueError('Expected 1 item named %s, found %d' % (name, len(elems))) retur...
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def isJudge(contest_data, user): """ Helper method for checking if a user is judge of the contest :param contest_data:a Contest object :param user: a User object :return: boolean type. True if the user is a judge of the contest, or False if not. """ contest_judges = contest_data.contest_admins.a...
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def common_values(list1, list2): """ Returns the common values of two sorted arrays """ i, j, common, len_a, len_b = 0, 0, 0, len(list1), len(list2) while i < len_a and j < len_b: if list1[i] > list2[j]: j += 1 elif list1[i] < list2[j]: i += 1 else...
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def rotated_array_search(input_list, number): """ Find the index by searching in a rotated sorted array Args: input_list(array), number(int): Input array to search and the target Returns: int: Index or -1 """ # As array is sorted (even if it is rotated), with a little tweak to the...
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def get_term_name_from_rdf(class_, data): """Looks for label for class in the rdf graph""" name = None try: name = data.rdfGraph.label(class_).__str__() except AttributeError: pass return name
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def find_free_id(scenario: dict, find_min_free_id=True): """ Find a free id for a new pedestrian/target :param scenario: dictionary containing a scenario's data :param find_min_free_id: if True, finds the minimum free id (less efficient), otherwise simply a free id (more efficient) :return: a free i...
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from datetime import datetime def timestamp_zip(string: str) -> str: """ Adds the current date and a .zip ending to the given string. Example: > timestamp("foo") "foo-1997-09-14-1253.zip" """ timestamp = datetime.today().strftime("%Y-%m-%d-%H%M") return f"{string}-{timestamp}.zip"
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def parse_prodtype(prodtype): """ From a prodtype line, returns the set of products listed. """ return set(map(lambda x: x.strip(), prodtype.split(',')))
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def _unescape_nl(text): """Convert escaped newline characters ``\\n`` back into newlines""" return str(text).replace('\\n', '\n')
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def _get_channel_rank(image_format): """Returns the rank of the channel dimension.""" if image_format not in ['HWCN', 'NHWC', 'NCHW']: raise ValueError('Unimplemented images format: {:s}.'.format(image_format)) return image_format.find('C')
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import math def get_speed(vehicle, meters=False): """ Compute speed of a vehicle in Km/h. Parameters ---------- meters : bool Whether to use m/s (True) or km/h (False). vehicle : carla.vehicle The vehicle for which speed is calculated. Returns ------- speed : flo...
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def representative_feature(path, values): """Helper function for TSEL filter. Returns the representative node of a given path. Args: path (list): Path containing some node names. values (dict): values containing nodes and their values. Returns: str: Name of most valuable/repres...
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import math def get_biorhythms(days_elapsed: int): """바이오리듬을 반환합니다. Args: days_elapsed: 출생일로부터의 경과일 Returns: 바이오리듬(신체, 감성, 지성)의 튜플 """ def biovalue(circle, elaspeddays): """바이오리듬 값(%)""" return math.sin(2 * math.pi * elaspeddays / circle) * 100 physical = bi...
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import re def mmyy_valid_date(date_str): """ Check if a date string is a valid date. Expected format is mmyy. :param date_str: a date string :return: date_str or None """ check = re.match("^(0[1-9]|1[0-2])\/?([0-9]{2})$", date_str) if check: return date_str else: return...
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import json def get_config(config_path): """ Open a Tiler config and return it as a dictonary """ with open(config_path) as config_json: config_dict = json.load(config_json) return config_dict
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def split_path(path, assumed_namespace="A", heuristic_split=True): """ split a path into the namespace and a URL when a namespace is missing this function returns a configurable default namespace as desired this function can apply a heuristic split to distinguish between what is likely a namespace and/o...
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def input(feature:str, value, disabled:bool=False)->str: """ Return a html feature input with a feature name and default value. Args: feature (str): name of feature value (str): default value disabled (bool): disable the input. Defaults to False. """ return f""" <div style="...
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def const(a, b): """``const :: a -> b -> a`` Constant function. """ return a
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from typing import Tuple def earliest_bus_at(timestamp: int, bus_ids: list) -> Tuple[int, int]: """Find the earliest bus that goes to the airport.""" difference = [] for bus in bus_ids: difference.append(bus - timestamp % bus) return bus_ids[difference.index(min(difference))], min(difference)
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import time def format_date(date, date_format): """ 日期格式说明 %y 两位数的年份 %Y 四位数的年份 %m 月份 %d 日期 %H 24小时制的小时数 %I 12小时制的小时数 %M 分钟 %S 秒 %w 星期 更多格式请参考: https://www.runoob.com/python/python-date-time.html :param date: 日期 :param date_format: 日期格式 :return: 日期字符串 ...
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def create_edge_adjacency(npoints:int): """This describes how the points are connected with each other example: [[0, 1], [1, 2], [3, 4], [4, 0]] This says point 0 is connected to 1. 1 is connected to 2 and eventually 4 is connecte...
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def index_of_nth_base(gappedseq, n): """Return the index of the nth non-gapped base in the sequence where n=0 is the first.""" nongapped = 0 for i, b in enumerate(gappedseq): if b == '-': continue if nongapped == n: return i nongapped += 1 raise ValueE...
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def flatten_opts(opts): """Flattens a multi-level addict.Dict or native dictionnary into a single level native dict with string keys representing the keys sequence to reach a value in the original argument. d = addict.Dict() d.a.b.c = 2 d.a.b.d = 3 d.a.e = 4 d.f = 5 flatten_opts(d) ...
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def find_peak_linearly(ls: list) -> int: """Finds the index of the first peak in ls. If there's no peak or the list is empty, -1 is returned. Time complexity: O(n), where len(ls) == n.""" for i in range(1, len(ls) - 1): if ls[i - 1] <= ls[i] >= ls[i + 1]: return i return -1
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def critical_events_in_outputs(healthcheck_outputs): """Given a list of healthcheck pairs (output, healthy), return those which are unhealthy. """ return [healthcheck for healthcheck in healthcheck_outputs if healthcheck[-1] is False]
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def get_perfect_squares(num: int) -> list: """ Get a mininum number of squares sum up to specific integer num. @param num: a positive integer target of squares sum. @return: a list of square numbers. """ if num <= 0: return [] squares = [] results = [] for i in range(1, num)...
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def replace_last(string, old, new): """ Replace the last occurrence of a pattern in a string :param string: string :type string: ``str`` :param old: string to find :type old: ``str`` :param new: string to replace :type new: ``str`` :returns: ``str`` ""...
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import operator def getattrd(obj, name): """Same as ``getattr()``, but allow dot notation lookup.""" try: return operator.attrgetter(name)(obj) except AttributeError: return None
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def line(x, alpha=1, c=0): """ Returns the y-value of the line with coefficients: - alpha (steepness) - c (offset) at point x """ return alpha*x + c
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def show_toolbar(request): """Prevent DjDT from appearing in Django-CMS admin page iframes""" path = request.get_full_path() if 'cms/' in path or 'admin/' in path: return False return True
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def divide_into_chunks(array, chunk_size): """Divide a given iterable into pieces of a given size Args: array (list or str or tuple): Subscriptable datatypes (containers) chunk_size (int): Size of each piece (except possibly the last one) Returns: list or str or tuple: ...
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from functools import reduce def invalid_line(row): """Ignore lines that are all empty.""" return len(row) == reduce(lambda x, y: x + 1 if y == '' else 0, row, 0)
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def filename_from_url(url): """ Get the filename component of the URL >>> filename_from_url('http://example.com/somefile.zip') 'somefile.zip' >>> filename_from_url('http://oceandata.sci.gsfc.nasa.gov/Ancillary/LUTs/modis/utcpole.dat') 'utcpole.dat' """ return url.split('/')[-1]
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import math def smoothedsigmoid(x, b=1): """ English: b controls smoothness, lower = smoother Japanese: b は緩やかさを調整します。b が小さいほど緩やかに(変化が小さく)なります。 """ return 1 / (1 + math.exp(- b * x))
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import random def rand_x_digit_num(x, leading_zeroes=True): """Return an X digit number, leading_zeroes returns a string, otherwise int""" if not leading_zeroes: # wrap with str() for uniform results return random.randint(10 ** (x - 1), 10 ** x - 1) else: if x > 6000: r...
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import pickle def get_stop_words(k = 200): """get stop words specific to the corpus. :param k: the threshold for counting as stop word. :return: a stop word set. """ with open('./data/stop_words_candidates.pkl', 'rb') as f: freq = pickle.load(f) return set(k for k, v in freq[:k])
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import torch def intersect_centered(wh_a: torch.Tensor, wh_b: torch.Tensor) -> torch.Tensor: """Calculates intersection of same centered boxes Args: wh_a (torch.Tensor): torch.Tensor(A,2) as width,height wh_b (torch.Tensor): torch.Tensor(B,2) as width,height Returns: torch.Tensor...
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from pathlib import Path def BrukerListFiles(PATH,Recursive=False): """List all SPC (EMX) and DTA (Elixys) files in the PATH. Args: PATH ([str]): path of the folder containing the Bruker files. Recursive (bool, optional): [to check the folder and subfolders]. Defaults to False. """ ...
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import math def _parseSeconds(data): """ Formats a number of seconds into format HH:MM:SS.XXXX """ total_seconds = data.total_seconds() hours = math.floor(total_seconds / 3600) minutes = math.floor((total_seconds - hours * 3600) / 60) seconds = math.floor(total_seconds - hours * 3600 - min...
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from typing import Type from typing import Iterable from typing import Optional from textwrap import dedent def get_docstring( cls: Type, *, flatten: bool = False, fallback_to_ancestors: bool = False, ignored_ancestors: Iterable[Type] = (object,), ) -> Optional[str]: """Get the docstring for a...
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