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def find_pivot(input_arr, min_idx, max_idx): """ Find the the pivor index of an rotated array Time complexity: O(1og2(n)) Space Complexity: O(1) Args: input_array(array): rotated array Returns: pivot_idx(int) """ mid = (min_idx + max_idx) // 2 # if mid ...
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def opv(d, func, *args): """ Apply func to all values of a dictionary. :param d: A dictionary. :param func: Callable accepting a value of `d` as first parameter. :param args: Additional positional arguments to be passed to `func`. :return: `dict` mapping the keys of `d` to the return value of t...
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from typing import List from typing import Any def _list_split( lst: List[Any], split_point: Any ) -> List[List[Any]]: """ Splits a given lists into multiple lists based on the provided split points. :param lst: Given list that needs to be split. :param split_point: Element in the list...
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def pk_encode_public_key(key): """Creates an ASN1 representation of a public key for external storage.""" return key.encode_key(1)
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def path2handle(path): """ Translates a full path to a handle. """ return path.split('/')[-1]
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import csv def _read_csv( filepath: str, delimiter: str = ",", quotechar: str = '"', escapechar: str = "" ) -> dict: """Process a given csv into a python dictionary Arguments: filepath: string pointing to csv file delimiter: string that denotes what char seperates values in csv, default i...
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def sort_dict_by_value(m_dict): """Sort the dict by value""" list_tuple = [(x, m_dict[x]) for x in m_dict] list_tuple.sort(key = lambda x : -x[1]) return list_tuple
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def timTrangSinh(cucSo): """Tìm vị trí của Tràng sinh Theo thứ tự cục số vị trí Tràng sinh sẽ là Dần, Tỵ, Thân hoặc Hợi *LƯU Ý* Theo cụ Thiên Lương: Nam -> Thuận, Nữ -> Nghịch Args: cucSo (int): số cục (2, 3, 4, 5, 6) Returns: int: Vị trí sao Tràng sinh Raises: Ex...
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def ct_neq_u32(val_a, val_b): """ Return 1 if val_a != val_b, 0 otherwise. Constant time. :type val_a: int :type val_b: int :param val_a: an unsigned integer representable as a 32 bit value :param val_b: an unsigned integer representable as a 32 bit value :rtype: int """ val_a &= 0x...
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def file_system_arn(arn): """ Converts an ARN to a file-system friendly string, so that it can be used for directory & file names """ for source, dest in {":": "#", "/": "_", " ": "_"}.items(): arn = arn.replace(source, dest) return arn
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def getIfromRGB(rgb): """ Converts rgb tuple to integer :param rgb: the rgb tuple n 255 scale :return: the integer """ red = rgb[0] green = rgb[1] blue = rgb[2] RGBint = (red << 16) + (green << 8) + blue return RGBint
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def fix_count(count): """Adds commas to a number representing a count""" return '{:,}'.format(int(count))
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import math def rotate(x, y, degree): """Rotate a coordinate around point (0,0). - x and y specify the coordinate. - degree is a number from 0 to 360. Returns a new coordinate. """ radian = float(degree) * 2 * math.pi / 360.0 newx = math.cos(radian) * x - math.sin(radian) * y newy = ma...
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import random import string def random_string(strlen=10): """Generating a random string of a certain length""" return "".join([random.choice(string.ascii_letters) for _ in range(strlen)])
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from typing import Union from typing import SupportsInt def int_or_default(value: Union[str, bytes, SupportsInt], default: int) -> int: """ Transforms the value given in parameter into a int, is possible. Otherwise, use the default value. :param value: the value to transform into an int :type value: ...
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def get_node_instance(node_instance_id, rest_client): """ Get a node instance object. :param node_instance_id: The ID of the node instance. :type node_instance_id: str :param rest_client: A Cloudify REST client. :type rest_client: cloudify_rest_client.client.CloudifyClient :return: request's JSO...
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import binascii def encode_domain(domain): """Given a domain with possible Unicode chars, encode it to hex.""" try: return binascii.hexlify(domain.encode('idna')) except UnicodeError: # Some strange invalid Unicode domains return None
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from datetime import date def votar(ano=2000): """ -> Verifica a situação de voto de acordo com o ano de nascimento da pessoa :param ano: ano de nascimento da pessoa, (padrão ano 2000) :return: Retorna a situação da pessoa """ idade = date.today().year - ano print(f'Com {idade} anos, sua ...
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def join_population_data(daily_data, population_data): """ Merges daily_data and population_data dataframes Parameters ---------- daily_data : df dataframe of daily observation population_data : df dataframe of population Returns ------- merged df merged...
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import re def is_allowed_anonymous_path(path, method): """Checks if a given path and method is allowed for accessing without being authenticated""" allowed_regex_paths = [['/assignments/.*', ['POST']]] for item in allowed_regex_paths: regex_path, allowed_methods = item[0], item[1] pattern ...
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def join(*parts): """ Join path name components, inserting ``/`` as needed. If any component looks like an absolute path (i.e., it starts with ``hdfs:`` or ``file:``), all previous components will be discarded. Note that this is *not* the reverse of :func:`split`, but rather a specialized version of os.pa...
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from typing import Dict def _create_ensg_pkg_map() -> Dict: """Reads the text file that was generated when installing ensg R packages, and returns a map whose keys are chip names and values are the corresponding BrainArray ensg package name. """ ensg_pkg_filename = "/home/user/r_ensg_probe_pkgs.tx...
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def attr(name): """Produces a function that accesses an attribute :param name: Name of an attribute :returns: A function that when applied to an instance returns the value for the attribute 'name' :rtype: function """ def _attr(obj): """Wrapped function for accessing an ...
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def is_record_package(data): """ Returns whether the data is a record package. A record package has a required ``records`` field. Its other required fields are shared with release packages. """ return 'records' in data
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from typing import Tuple from typing import Union import requests def check_url(url: str) -> Tuple[bool, Union[str, requests.Response]]: """Returns information on the availability of the url Parameters ---------- url : str The url to test Returns ------- Tuple[bool, Union[str, Re...
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def getAtList(l, idx, default=None): """ Safe .get for lists """ try: return l[idx] except IndexError: return default
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def _annuity_pv_factor(r,n): """Present value factor for an annuity. Formula equivalent to C/r + r + C/(1+r)**2 + ... + C/(1+r)**n Parameters ----------. r: float Interest rate n: int Number of payments """ return (1 - (1/(1+r)**n)) / r
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from typing import List def read_list_from_file(fpath: str, skip_header: bool=False) -> List[str]: """Parse a file into an array of strings, splitting on newline, and optionally skipping the first row. Args: fpath (str): File to read. skip_header (bool, optional): If True, the first line is s...
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import re def camel_to_snake(text_string): """Transform a CamelCase string into snake_case """ FIRST_CAP_RE = re.compile('(.)([A-Z][a-z]+)') ALL_CAP_RE = re.compile('([a-z0-9])([A-Z])') s1 = FIRST_CAP_RE.sub(r'\1_\2', text_string) return ALL_CAP_RE.sub(r'\1_\2', s1).lower()
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def select_daily_mean(daily_mean, gw_data): """ Select the lakes in the daily_mean file that are retained in the final growth window. Input: daily_mean: dataframe with all compiled daily mean water quality data gw_data: growth window dataframe (output from the growth_window_means function) ...
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def compute_flesch_reading_ease(total_syllables, total_words, total_sentences): """ Computes readability score from summary statistics :param total_syllables: number of syllables in input text :param total_words: number of words in input text :param total_sentences: number of sentences in input text...
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import yaml def load_from_yml(filename): """Load an experiment configuration from a yaml file. For examples, take a look at `data` folder Args: filename (str): The name of the data file (use full or relative path) Returns: tuple: The first value in the tuple is an iterable of cars ...
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def solicitar_entero_valido(mensaje): """ Solicita un número entero y lo sigue solicitando mientras no sea un entero válido """ while True: try: posible_entero = int(input(mensaje)) return posible_entero except ValueError: continue
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def make_param_name_multiple_index(param_parts): """ Make the key name from param parts. For example, ("param", "tag", "2", "1") -> ("param2", "1"). """ return (param_parts[0] + param_parts[-2], param_parts[-1])
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def unique_species(ini0): """ Return the list of different chemical elements there are in the current structure. """ natom = ini0["natom"] elmlist = [] for ii in range(0,natom): symbol = ini0["symbol"][ii] if not symbol in elmlist: elmlist.append(symbol) retur...
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from typing import Any def get_cls_name(obj: Any, package_name: bool = True) -> str: """ Get name of class from object Args: obj (Any): any object package_name (bool): append package origin at the beginning Returns: str: name of class """ cls_name = str(obj.__class__)...
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def spacydoc2tokens(doc): """ Transform spaCy doc to tokens list. :param doc: spaCy doc :return: list of token texts """ return [token.text for token in doc]
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def in_inner_list(item, item_list): """ 判断 item 是否在列表内的列表里 :param item: 需要判断的对象 :param item_list: <list of list of item> :return: """ for item_ in item_list: # 若 item 在其中一个列表 item_ 中 # 则返回 item_ if item in item_: return item_ # 不存在则返回 False return ...
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def base26(w): """Convert string into base26 representation where a=0 and z=25.""" val = 0 for ch in w.lower(): next_digit = ord(ch) - ord('a') val = 26*val + next_digit return val
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def grade_distribution(parsed_list, max_grade, bin_number=10): """ This funtion calculates the distribution of the given grades by splitting them into 'n' equal bins (intervals) and finding the number of grades corresponding to each bin. The bins are left-closed, right-open: [a, b) = x | a <= x < b,...
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import warnings def get_weight(target_easy_negative, easy_negative, hard_negative): """ Args: target_easy_negative ([type]): [description] easy_negative ([type]): [description] hard_negative ([type]): [description] Returns: w_h, w_e: scaling factor for hard and easy and ne...
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def _parse_single_key(keystr: str) -> str: """Get a keystring for QKeySequence for a single key.""" return 'Shift+' + keystr if keystr.isupper() else keystr
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def normalize_empty_to_none(text): """Return verbatim a given string if it is not empty or None otherwise.""" return text if text != "" else None
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def run_if_true(function, boolean, data): """ Run the given function if the boolean is true. Else return the data. """ if boolean: return function(data) return data
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def get_synplas_morph_args(config, precell=False): """Get morphology arguments for Synplas from the configuration object. Args: config (configparser.ConfigParser): configuration precell (bool): True to load precell morph. False to load usual morph. Returns: dict: dictionary contain...
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def checkPointsButtonClicked(game, clickX, clickY): """ Returns true if points button was clicked, else false """ return (game.pointsButtonObj is not None and game.pointsButtonObj.collidepoint(clickX, clickY))
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def seq_to_list(seq): """ Convert non-sequence to 1 element sequence, tuples to lists """ if not isinstance(seq, (list, tuple)): return [seq] return list(seq)
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def mock_purge_success(url, request): """ Mock a success Purge request """ return {'status_code': 201, 'content-type': 'application/json', 'server': 'Apache', 'content-location': '/ccu/v2/purges/1234-456-7890', 'content': { "estimatedSecond...
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import re def should_filter(line, num): """Test the given line to see if it should be included. Excludes shebang lines, for now. """ # Filter shebang comments. if num == 0 and line.startswith('#!'): return True # Filter encoding specification comments. if num < 2 and line.startswit...
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from typing import Tuple def decode_seat_of(pass_: list, n_rows: int = 128, n_cols: int = 8) -> Tuple[int, int]: """Return row and column number from boarding pass information.""" row_range = [1, n_rows] col_range = [1, n_cols] for char in pass_[:7]: # decode row if char == "F": ...
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import re def is_valid_zcs_container_id(zcs_container_id): """ Validates Zadara Container Services (ZCS) container IDs, also known as the ZCS container "name". A valid ZCS container name should look like: container-00000001 - It should always start with "container-" and end with 8 hexadecimal cha...
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def get_hmt_balance(wallet_addr, token_addr, w3): """ Get hmt balance Args: wallet_addr: wallet address token_addr: ERC-20 contract w3: Web3 instance Return: Decimal with HMT balance """ abi = [ { "constant": True, "inputs": [{"name":...
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def recursive_merge_dicts(a, b): """Recursively merge two dictionaries. Entries in b override entries in a. The built-in update function cannot be used for hierarchical dicts, see: http://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth/3233356#3233356 Param...
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def double_char(s): """Return word with double characters.""" word = '' for i in s: word += i * 2 return word
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def _is_git_index_exists(repo_ctx, repo_local_cache_path): """ Checks that a local git index exists at the repository cache path Args: repo_ctx: Repository context of the calling rule repo_local_cache_path: Path of the repository cache folder Returns: Boolean in...
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def is_path_like(obj, attr=('name', 'is_file', 'is_dir', 'iterdir')): """test if object is pathlib.Path like""" for a in attr: if not hasattr(obj, a): return False return True
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def read_label_map(path_to_labels): """Read from the label map file and return a class dictionary which maps class id (int) to the corresponding display name (string). This functions expects a txt, not pbtxt file """ with open(path_to_labels,'r') as f: return {i: c for i,c in enumerate(f.rea...
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from typing import List def config_noisy(shots: int, optimization_level: int, transpiler_seed: int, initial_layout: List[int], seed_simulator: int, private_config: dict ) -> dict: """The configuration loading for the noisy simulation. Args: shots: Number of shots to be used in the no...
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import torch def sig(gain: float, offset: float, x: torch.Tensor) -> torch.Tensor: """Computes element-wise sigmoid function. Args: gain: The sigmoid function gain. offset: The sigmoid function offset. Returns: The sigmoid function evaluated for each element in the tensor. """ ...
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def default_not_in_transformer(row, lhs, rhs): """ Performs the in check of the lhs is not in the rhs. If the lhs has an `is_not_in` method this is used, if not the `not in` operator is used. :param row: The row being checked (not used) :param lhs: The left hand side of the operator :param rhs:...
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def get_list(env, name, default=None): """Get a list from the environment The input is assumed to be a comma-separated list of strings. If ``name`` is not found in ``env``, return ``default``. Note that ``default`` is returned as-is, so you should usually specify it as a list:: ALLOWED_HO...
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def filter_title(job): """Filter out job title and link to listing.""" job_title = job.find('a', attrs={'class': 'job-link'}).text link = job.find('a', href=True).attrs['href'] job_link = 'https://stackoverflow.com{}'.format(link) return(job_link, job_title)
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def bytes_to_int(bs): """ converts a big-endian byte array into a single integer """ v = 0 p = 0 for b in reversed(bs): v += b * (2**p) p += 8 return v
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def zipl(*lists): """ Equivalent to python2 zip, return a list instead of a generatory in python3 """ return list(zip(*lists))
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from datetime import datetime def get_FY_short(the_date=datetime.now()): """Return 2-digit current fiscal year as integar""" if the_date.month > 6: return the_date.year - 2000 else: return the_date.year - 2001
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def to_download_url(path): """Returns an url to filebrowser views.py download function """ return '/filebrowser/option?name=download_resource&path=' + path
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def coll_types(coll): """ Return iterator over types in collection """ return coll.types()
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def get_words_from_dictionary(lemmas): """ Get original set of words used for analysis. :param lemmas: A dictionary where keys are lemmas and values are sets or lists of words corresponding to that lemma. :type lemmas: dict(str): list(str) :return: Set of words that exist as values in the d...
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import hashlib def hash_list(argv, size=8): """ Proposes a hash for the list of arguments. @param argv list of arguments on the command line. @param size size of the hash @return string """ st = "--".join(map(str, argv)) hash = hashlib.md5() hash.update...
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import json def _get_example(line): """Extract relevant fields from json. Args: line: String for json line. Returns: example_id: integer. question: string. contexts: List of strings. context_indices: List of (int32, int32) tuples. """ json_example = json.loads(line) example_id = json...
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from typing import List from typing import Union def make_it_fit(cell_list: List[str], limit: int) -> Union[None, List[str]]: """ This function attempts to shorten a list of strings by finding and elimininating empty string elements from left to rigth. If succesfull it will return the modified list. O...
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import time def _generate_container_name() -> str: """Generate a Docker container name for use in DockerPolicy.""" return 'ros2launch-sandboxed-node-{}'.format(time.strftime('%H%M%S'))
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def getSigGenIDN(sg): """ This function returns the Sig Gen IDN Parameters: sg : socket connection Returns: IDN : Sig gen IDN response as string """ sg.sendall(b'*IDN?\r\n') # Get system i...
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def get_ds(dc, name): """ Pick a datastore by its name. """ for ds in dc.datastore: try: if ds.name == name: return ds except: # Ignore datastores that have issues pass raise Exception("Failed to find %s on datacenter %s" % (name, dc.name))
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from typing import Dict def dauphin_info(dauphin_county_dict) -> Dict[str, str]: """ Returns a dict with basic info for Dauphin County, including its name and mailing list ID. """ return dauphin_county_dict["42043"]
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from typing import Callable from typing import Type from typing import Optional from typing import Tuple def make_metaclass(metaclass_callback: Callable[[Type], None], exclude: Optional[Tuple[str, ...]] = None) -> Type: """ make a metaclass :param metaclass_callback: called when a new class is made using...
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def layer_rows(layer): """ Given a layer return each row as a list. """ els = range((2*(layer-1)-1)*(2*(layer-1)-1) + 1, (2*layer-1)*(2*layer-1) + 1) side_length = len(els) / 4 return [els[:side_length], els[side_length:2*side_length], els[2*side_length:3*side_length], els[3*side_length:]]
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def sample_mocked_geolocation(**params): """Create and return a sample mocked geolocation object""" mock_data = { 'ip': '10.0.0.1', 'country_name':'Mars', 'region_code':'SOL512', 'city': 'RedSand', 'latitude':49.02342, 'longitude':40.34342, 'zip':'1052' ...
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def community2name(community): """ Given a list of concepts (words), return a string as its name. """ return " ".join(community)
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def readFile(filepath): """Gets string representing the path of the file to be processed and returns it as a list. It will omit blank lines. Parameters ---------- filepath : str The path of the filename to be processed Returns ------- lines a list that contains the ...
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def drop_users_to_ignore(ignore, license_lists): """This function drops the users to ignore during the comparison from each license type list. Parameters ---------- ignore (DataFrame) : Users to ignore during comparison license_lists (dict) : dictionary of DataFrames, one for each license type ...
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def delete_cookie(cookieName: str, url: str) -> dict: """Deletes browser cookie with given name, domain and path. Parameters ---------- cookieName: str Name of the cookie to remove. url: str URL to match cooke domain and path. **Experimental** """ return { ...
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def find_range(index, window, max): """ find the left and right endpoints of a window in an array :param index: index window is to be centered at :param window: the length of the window :param max: the size of the array :return: left and right endpoints of the window """ half_window = int(w...
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def MSD(Z, Y): """Compute the mean square distortion (MSD) between Z and Y Parameters ---------- Z: torch.Tensor of shape (n_samples, n_features) Tensor to be compared Y: torch.Tensor of shape (n_samples, n_features) Tensor to be compared Returns ------- msd: float ...
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import torch def avg_disp(y_pred, y_true): """ Average displacement error. """ y_true, masks = y_true seq_lengths = masks.sum(1) batch_size = len(seq_lengths) squared_dist = (y_true - y_pred)**2 l2_dist = masks * torch.sqrt(squared_dist.sum(2)) avg_l2_dist = (1./batch_size) * ((1./seq_l...
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def count(items: list) -> list: """ Generate a list of counts for each item in the input list. Outputs with highest counted item at index 0 Args: items (list): A list of objects to be sorted Returns: list: A list of unique items in the input and the number of occurances for each item ...
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import json def to_json(dict_): """ serialize dict to json :param dict_: dict_ :returns: JSON string representation """ return json.dumps(dict_)
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def null_count(df): """ Returns total amount of null values in the DataFrame. """ nulls = df.isnull().sum() return nulls
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def remove_blank_lines(lines): """Get all non-blank lines out of a list of lines""" return [line_out for line_out in (line_in.strip() for line_in in lines) if len(line_out) > 0]
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def perovskite_order_param(Rs_order_param=None): """ Define an order parameter for peroskite. """ if Rs_order_param is None: Rs_order_param = [(1, 0, 1), (1, 0, -1), (1, 1, 1), (1, 1, -1), (1, 2, 1), (1, 2, -1)] Rs_in = [(3, 0, 1)] + Rs_order_param return Rs_in
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def format_time(time_units): """ Returns a formated time value (hh:mm:ss:ms). """ return ":".join(["{0}".format(time_units[inx]) for inx in range(4, len(time_units))])
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def first(xs, fn=lambda _: True, default=None): """Return the first element from iterable that satisfies predicate `fn`, or `default` if no such element exists. Args: xs (Iterable[Any]): collection fn (Callable[[Any],bool]): predicate default (Any): default Returns: Any...
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from typing import Sequence from typing import List def bubble_sort_rec(seq: Sequence) -> List: """ Sort a sequence with the recursive bubble sort algorithm. Parameters ---------- seq : Sequence Returns ------- List """ def rbubblesort(seq: List, length: int): """Re...
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def PerpProduct2D(a,b): """Computes the the 2D perpendicular product of sequences a and b. The convention is a perp b. The product is: positive if b is to the left of a negative if b is to the right of a zero if b is colinear with a left right defined as shortest a...
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def try_key(d, key, val): """ d: dict key: str val: object the default value if the key does not exist in d """ if key in d: return d[key] return val
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def is_subset(l1: list, l2: list) -> bool: """ Test if l2 is a subset of l1, i.e. all elements of l2 are contained in l1 and return True if it the case, False otherwise. :param l1: main list :param l2: list whose elements are to be checked (if they're in l1 or not) :return: True if l2 is a subs...
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def _looks_like_numpy_function(func_name, numpy_module_name, node): """ Return True if the current node correspond to the function inside the numpy module in parameters :param node: the current node :type node: FunctionDef :param func_name: name of the function :type func_name: str :par...
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from typing import Callable import functools def to(data_type) -> Callable: """ Apply a data type to returned data from a function. Args: data_type: The data type to apply. Eg: list, int etc. Returns: Decorator that applies the data type on returned data """ def decorator(fu...
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def list_nodes(base): """Utility function that lists Senlin nodes.""" res = base.client.list_objs('nodes') return res['body']
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def GetCost(term): """Calculate the cost of a term. Quota is charged based on how complex the rules are rather than simply limiting the number of rules. A firewall rule tuple is the unique combination of IP range, protocol, and port defined as a matching condition in a firewall rule. And the cost of a fir...
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