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def callback_pos(instance, value): """Give back the value of a certain position.""" print('The widget', instance, 'moved to', value) return value
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def parse_num(maybe_num) -> int: """parses number path suffixes, returns -1 on error""" try: return int(maybe_num) except ValueError: return -1
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def flen(filename): """ File LENgth computes and returns the number of lines in a file. @filename <string> is path to a file. This is an epensive method to call for the whole file is read to determine the number of lines. returns: <integer> line count """ # Read and count lines. with open(filename, 'r') as i...
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def offset_snp(snp, offset, invert=False): """Translate SNP positions by a given ofsset.""" orientation, tail = snp.split("@") pos, base_change = tail.split(":") base_from, base_to = base_change.split(">") pos = int(pos) + offset if invert: tmp = base_from base_from = base_to ...
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def snap_to_cube(q_start, q_stop, chunk_depth=16, q_index=1): """ For any q in {x, y, z, t} Takes in a q-range and returns a 1D bound that starts at a cube boundary and ends at another cube boundary and includes the volume inside the bounds. For instance, snap_to_cube(2, 3) = (1, 17) Arguments:...
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import os def get_shortcut_paths(directory): """get_shortcut_paths("Programs") => ["...\Internet Explorer.lnk", ...] Returns the list of Windows shortcuts contained in a directory. """ return [os.path.join(directory, f) for f in os.listdir(directory) if os.path.splitext(f)[1] == '...
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def main(*, a, b): """entrypoint function for this component Usage example: >>> main( ... a = pd.Series( ... { ... "2019-08-01T15:20:12": 1.2, ... "2019-08-01T15:44:12": None, ... "2019-08-03T16:20:15": 0.3, ... "2019-08-05T12:0...
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def nrz_decision(x,t): """produces nrz symbol from analog voltage Parameters ---------- x : float the analog voltage t: float voltage threshold between 0 and 1 symbol Returns ------- int the nrz symbol that represents x """ if x<t: r...
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def selection_sort(integers): """Search through a list of Integers using the selection sorting method. Search elements 0 through n - 1 and select smallest, swap with element at index 0, iteratively search through elements n - 1 and swap with smallest. """ integers_clone = list(integers) for ind...
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def get_school_round(a_in, n_in): """ https://stackoverflow.com/questions/33019698/how-to-properly-round-up-half-float-numbers-in-python :param a_in: :param n_in: :return: float """ if (a_in * 10 ** (n_in + 1)) % 10 == 5: return round(a_in + 1 / 10 ** (n_in + 1), n_in) else: ...
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def serialize_quantity(quantity): """Serializes a propertyestimator.unit.Quantity into a dictionary of the form `{'value': quantity.value_in_unit(quantity.unit), 'unit': quantity.unit}` Parameters ---------- quantity : unit.Quantity The quantity to serialize Returns ------- dic...
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from typing import Dict import os import json def default_params() -> Dict: """ load default parameters """ dir_path = os.path.dirname(os.path.realpath(__file__)) with open(os.path.join(dir_path, "data", "parameters.json")) as f: return json.load(f)
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def migrate(engine): """Replace 'backend' with 'store' in meta_data column of image_locations""" sql_query = ("UPDATE image_locations SET meta_data = REPLACE(meta_data, " "'\"backend\":', '\"store\":') where INSTR(meta_data, " " '\"backend\":') > 0") # NOTE(abhishekk): INS...
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import itertools def xml2d(e): """Convert an etree into a dict structure @type e: etree.Element @param e: the root of the tree @return: The dictionary representation of the XML tree """ def _xml2d(e): kids = dict(e.attrib) for k, g in itertools.groupby(e, lambda x: x.tag): ...
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def update_alpha_vec(alpha,Q,C): """ Args: alpha: 1d array Q, C: 2d array Return: 1d array """ t = len(alpha)-1 return alpha[:t]-alpha[t]/(C[t,t]+Q[t,t])*(Q[t,:t]+C[t,:t])
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def get_all_collections(self): """Return all collections in the database""" return self.app.db.table('collections').all()
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import os def find_innosetup(): """ find InnoSetup executable @return executable """ exe = r"C:\Program Files (x86)\Inno Setup 5\compil32.exe" if not os.path.exists(exe): raise FileNotFoundError(exe) return exe
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import argparse def make_parser(): """ :return: """ parser = argparse.ArgumentParser("YOLOX TensorRT deploy") parser.add_argument("-expn", "--experiment-name", type=str, default="", help="") parser...
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import os def running_installer_test(): """Return True if currently running installer test""" return bool(int(os.environ.get('INSTALLER_TEST', '0')))
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def read_input(path: str): """ Read game board file from path. Return list of str. """ file = open(path, 'r') return [line.strip() for line in file.readlines()]
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def gov_text(info): """ input: a country's infobox (rdflib graph node) uotput: list of strings of text from the government table cell """ try: res = info.xpath(".//tr[.//th//a[contains(text(), 'Government')]][1]")[0] except IndexError: try: res = info.xpath(".//tr[.//...
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def mongodb_authn(): """Parses a MongoDB connection key into a configuration dict """ authn = 'bW9uZ29kYjovL2NhdGFsb2c6Y2F0YWxvZ0Bsb2NhbGhvc3Q6MjcwMTcvY2F0YWxvZ19sb2NhbD9yZWFkUHJlZmVyZW5jZT1wcmltYXJ5' return {'authn': authn, 'database': 'catalog_local'}
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def make_ops_ast(expr, nfops, is_write=False): """ Transform a devito expression into an OPS expression. Only the interested nodes are rebuilt. Parameters ---------- expr : Node Initial tree node. nfops : OPSNodeFactory Generate OPS specific nodes. Returns ------- ...
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import torch def resort_points(points, idx): """ Resort Set of points along G dim :param points: [N, G, 3] :param idx: [N, G] :return: [N, G, 3] """ device = points.device N, G, _ = points.shape n_indices = torch.arange(N, dtype=torch.long).to(device).view([N, 1]).repeat([1, G]) ...
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def is_square(n: int) -> bool: """ >>> is_square(64) True >>> is_square(56) False """ if n == 0: return True i = 1 while i * i <= n: if (n % i == 0) and (n / i == i): return True i = i + 1 return False
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import argparse def parse_args(): """ Return a list of command line arguments (using argparse module). """ parser = argparse.ArgumentParser(description=__doc__) parser.add_argument( '-l', '--last-minutes', default=0, type=int, help='download only the news of last n minutes') p...
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def _string_escape(text): """ >>> from .pycompat import bytechr as chr >>> d = {b'nl': chr(10), b'bs': chr(92), b'cr': chr(13), b'nul': chr(0)} >>> s = b"ab%(nl)scd%(bs)s%(bs)sn%(nul)sab%(cr)scd%(bs)s%(nl)s" % d >>> s 'ab\\ncd\\\\\\\\n\\x00ab\\rcd\\\\\\n' >>> res = _string_escape(s) >>> ...
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import re def _include_local_or_system(x): """Wrap **x** in quotes if it is not wrapped in angle brackets.""" if re.fullmatch("<.*>", x): return x return '"' + x.strip('"') + '"'
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import argparse def process_args(args, defaults, description): """ Handle the command line. args - list of command line arguments (not including executable name) defaults - a name space with variables corresponding to each of the required default command line values. descriptio...
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import os def read_package_variable(key, filename="__init__.py"): """Read the value of a variable from the package without importing.""" module_path = os.path.join("src/nebulo", filename) with open(module_path) as module: for line in module: parts = line.strip().split(" ", 2) ...
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def is_ambiguous(num_sensed_blocked: int, num_confirmed_blocked: int, num_sensed_unblocked: int, num_confirmed_unblocked: int): """ Check whether the conditions are ambiguous or not :param num_sensed_blocked: number of sensed blocks :param num_confirmed_blocked: number of confirmed bloc...
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import platform import resource def get_cur_memory(): """ Return the used memory in MB """ if platform.system() == 'Linux': # Slightly more accurate than below with open('/proc/self/status') as f: for line in f: if line.startswith('VmRSS:'): ret...
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import json def enjson(obj, indent=4, encoding='UTF-8'): """ Dumps unicode json allowing non-ascii characters encoded as needed. """ return json.dumps(obj, indent=indent, ensure_ascii=False).encode(encoding)
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def display(order, start): """ Convert to readable format. """ res = [] c = start while len(res) < len(order)-1: res.append(str(c)) c = order[c] return " ".join(res)
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def compare_dicts(cloud1, cloud2, ignores): """ Compare the dicts containing cloud info """ if not cloud1 or not cloud2: return False for item in cloud1: if item in cloud2: if cloud1[item] != cloud2[item] and item not in ignores: return False elif...
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def _select_xticks(x): """ Heuristically decide how many x-axis labels will be printed, in order to avoid obfuscating each other, due to figure's fixed width. """ if len(x) < 19: # print all return x else: # print every two return x[0:-1:2]
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def nombre_sommets(G): """Renvoie le nombre de sommets d'un graphe""" return len(G.keys())
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def headingToYaw(heading): """ Convert heading (degrees, NED) to yaw (degrees, ENU). Args: heading: float heading: degrees, NED Returns: Float, yaw: degrees, ENU """ return 90.0-heading
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def opts_dd(lbl, value): """Format an individual item in a Dash dcc dropdown list. Args: lbl: Dropdown label value: Dropdown value Returns: dict: keys `label` and `value` for dcc.dropdown() """ return {'label': str(lbl), 'value': value}
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def numba_leastsqr(x, y): """ Computes the least-squares solution to a linear matrix equation. from https://stackoverflow.com/questions/23550483/numba-and-cython-arent-improving-the-performance-compared-to-cpython-significan""" len_x = len(x) x_avg = sum(x)/len_x y_avg = sum(y)/len(y) var_x...
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def filter_args(args): """Removes "amp;" from request keys""" return {key.replace("amp;", ""):value for key, value in args.items()}
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import torch def d(tensor=None): """ Returns a device string either for the best available device, or for the device corresponding to the argument :param tensor: :return: """ if tensor is None: return 'cuda' if torch.cuda.is_available() else 'cpu' return 'cuda' if tensor.is_cud...
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def rc_to_xy(row, col, rows): """ Convert from (row, col) coordinates (eg: numpy array) to (x, y) coordinates (bottom left = 0,0) (x, y) convention * (0,0) in bottom left * x +ve to the right * y +ve up (row,col) convention: * (0,0) in top left * row +ve down * col +ve to the...
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def has_relative_protocol(uri): """Return True if URI has relative protocol '//' """ start = uri[:2] if start == '//': return True return False
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def calc_wmr(BMR, PAL): """Total requirement depending on PAL = physical activity level""" return BMR * (PAL - 1)
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def wrap(value): """Return *value* as a list. Reader._parse(elem, unwrap=True) returns single children of *elem* as bare objects. wrap() ensures they are a list. """ return value if isinstance(value, list) else [value]
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def tokenize(tokenizer, text): """ Tokenizes a given text. Parameters ---------- tokenizer: transformers.PreTrainedTokenizer A tokenizer object from the HuggingFace's `transformers` package. text: str The text to be tokenized. Returns ------- list(str) A lis...
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def solution(A): # O(N^2) """ Sort numbers in list A using bubble sort. >>> solution([5, 2, 2, 4, 1, 3, 7, 9]) [1, 2, 2, 3, 4, 5, 7, 9] >>> solution([2, 4, 6, 2, 0, 8]) [0, 2, 2, 4, 6, 8] >>> solution([1, 3, 5, 7, 3, 9, 1, 5]) [1, 1, 3,...
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def get_labelled_idxs(dataset): """ Get all indices with labels """ split_dict = dataset.get_idx_split() train_idx = split_dict['train'] valid_idx = split_dict['valid'] test_idx = split_dict['test'] idxs_labelled = set(train_idx) idxs_labelled = idxs_labelled.union(set(valid_idx)) ...
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import os def file_to_link(path): """ Given a raw Wikipedia article, this method extracts its title, and returns a link to its page """ with open(os.path.abspath(path), "r") as article: header = article.readline() title = header[7:] return "https://en.wikipedia.org/wiki/" + title.r...
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from typing import Union from typing import Tuple from typing import Optional def utm_region_code( epsg: Union[int, Tuple[int, int, int]], tidx: Optional[Tuple[int, int]] = None ) -> str: """ Construct UTM gridspec identifier. Examples: - 32751 -> "51S" - 32633, 10, 2 -> "33N_10_02...
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def build_mp_addresses_from_constituency(addresses_request_xml): """ Build a python object containing addresses about an MP """ # print etree.tostring(addresses_request_xml, pretty_print=True) #ERROR HANDLING mp_address = {} mp_address["official_ID"] = addresses_request_xml[0].get('Member_Id') m...
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def pi_rho(parameters, rho, theta_v): """ Returns an expression for the derivative of Exner pressure with respect to density. :arg parameters: a CompressibleParameters object. :arg rho: the dry density of air in kg / m^3. :arg theta: the potential temperature (or the virtual pot...
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def unique(a): """Find unique elements, retaining order.""" b = [] for x in a: if x not in b: b.append(x) return b
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def upload_tenx_library_path(instance, filename): """Make a proper file path for uploading 10x library files.""" return "{0}/{1}/{2}".format( 'tenxlibrary', instance.library.id, filename )
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import hashlib import base64 def get_file_hash(filename, algorithm='md5'): """Linux equivalent: openssl <algorithm> -binary <filename> | base64""" hash_obj = getattr(hashlib, algorithm)() with open(filename, 'rb') as file_: for chunk in iter(lambda: file_.read(1024), b""): hash_obj.upd...
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def mock_interface_settings_mismatch_subclass(mock_interface_settings, invalid_usb_device_subclass): """ Fixture that yields mock USB interface settings that is an unsupported device subclass. """ mock_interface_settings.getSubClass.return_value = invalid_usb_device_subclass return mock_interface_se...
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import torch def kl_divergence(d1, d2, K=100): """Computes closed-form KL if available, else computes a MC estimate.""" if (type(d1), type(d2)) in torch.distributions.kl._KL_REGISTRY: return torch.distributions.kl_divergence(d1, d2) else: samples = d1.rsample(torch.Size([K])) retur...
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from typing import Dict from typing import Any import json def format_request(payload: Dict[str, Any]) -> str: """Converts the request into json""" return json.dumps(payload, sort_keys=False, check_circular=False, separators=(',', ':'))
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import numpy def prepare_sequences(notes, pitchnames, n_vocab): """ Prepare the sequences used by the Neural Network """ # map between notes and integers and back note_to_int = dict((note, number) for number, note in enumerate(pitchnames)) sequence_length = 100 network_input = [] output = [] ...
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def forcerange(colval): """Caps a value at 0 and 255""" if colval > 255: return 255 elif colval < 0: return 0 else: return colval
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import calendar def weekday_of_birth_date(date): """Takes a date object and returns the corresponding weekday string""" get_weekday = date.weekday() weekday = calendar.day_name[get_weekday] return weekday
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def r_to_q_Ri(params, substep, state_history, prev_state, policy_input): """ For a 'r to q' trade this function returns the amount of token UNI_R for the respective asset depending on the policy_input """ asset_id = policy_input['asset_id'] # defines asset subscript r = (policy_input['ri_sold']) #am...
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import numpy def relu(sop): """ Applies the rectified linear unit (ReLU) function. sop: The input to which the relu function is applied. Returns the result of the ReLU function. """ if not (type(sop) in [list, tuple, numpy.ndarray]): if sop < 0: return 0 else: ...
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def _add_log_filter(logger, patterns): """Add a Filter to the logger based on a regexp of the filter_str.""" def filter_func(logrecord): return not any(p.search(logrecord.getMessage()) for p in patterns) logger.addFilter(filter_func)
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import six def _hex2rgb(h): """Transform rgb hex representation into rgb tuple of ints representation""" assert isinstance(h, six.string_types) if h.lower().startswith('0x'): h = h[2:] if len(h) == 3: return (int(h[0] * 2, base=16), int(h[1] * 2, base=16), int(h[2] * 2, base=16)) i...
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from typing import Optional from typing import List from typing import Set def select_functions(vw, asked_functions: Optional[List[int]]) -> Set[int]: """ Given a workspace and an optional list of function addresses, collect the set of valid functions, or all valid function addresses. arguments: ...
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def twenty_seventeen(): """Come up with the most creative expression that evaluates to 2017, using only numbers and the +, *, and - operators. >>> twenty_seventeen() 2017 >>> twenty_seventeen() + twenty_seventeen() 4034 >>> twenty_seventeen() * 3 6051 >>> twenty_seventeen() / 2 ...
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import torch def load_model(model, load_path, device): """Load torch model.""" model.load_state_dict(torch.load(load_path, map_location = device)) return model
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from typing import Callable from typing import Optional from typing import Tuple def many_parser( sub_parser: Callable[[str], Optional[Tuple[str, str]]], text: str ) -> Optional[Tuple[str, str]]: """ changes a parser by repeating it an indefinite number of times. So a parser that parses only "a", will parse "aaa...
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import os import json def load_json(path: str) -> dict: """ This reads and loads json into python from a file. Args: path: The path to read from. Returns: data: The json data. """ if not os.path.exists(path): return {} with open(path) as fp: return json.lo...
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import inspect import os def mkprefix(tag = None, cls = None): """ Create a temporary file prefix PROGNAME:[CLASSNAME.]FUNCTION-TAG- :param str tag: a tag to append to the prefixb :param type cls: an optional type to prefix FUNCTION :returns: the prefix :rtype: str """ assert isinstan...
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def is_encrypted_value(value): """ Checks value on surrounding braces. :param value: Value to check :return: Returns true when value is encrypted, tagged by surrounding braces "{" and "}". """ return value is not None and value.startswith("{") and value.endswith("}")
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def no_of_misplaced_tiles(node): """Function to get the number of misplaced tiles for a particular configuration Parameters ---------- node : [list] [list to check for the heuristics] Return ------ [int] [returns the heuristic distance for a particular node] """ ...
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def join_args(*arglists): """Join split argument tokens.""" return ", ".join(arg for args in arglists for arg in args if arg)
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def add_book(book_dict: dict, new_book_data: tuple) -> dict: """ Function designed by Spencer Green. Returns a dictionary containing original sets of book data, with the addition of a new book's data set when given the book dictionary that the new book should be added to, and all seven data requirements of ...
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def score_by_event_threat_level(event, attributes): """ Score based on exponential of an event's threat level """ score = 0 if event["threat_level_id"] == "1": # High score += 100 elif event["threat_level_id"] == "2": # Medium score += 50 elif event["threat_level_id"] == "3": # L...
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def str_para_posicao(p): """ Tranformador posicao. Recebe uma cadeia de caracteres que a representa uma posicao e devolve a posicao. :param p: string, representacao externa da posicao. :return: tuple, posicao do tabuleiro de jogo. """ return p[0], p[1]
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def duplicates(L): """ Return a list of the duplicates occurring in a given list L. If there are no duplicates, return empty list. """ dupes = list() seen = set() for x in L: if x in seen: dupes.append(x) seen.add(x) return dupes
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def make_regexps_for_path(path): """ given a path like a/b/c/d/e.ipynb, return many regexps mathing this path. specifically, [^/]+/b/c/d/e.ipy a/[^/]+/c/d/e.ipy a/b/[^/]+/d/e.ipy a/b/c/[^/]+/e.ipy a/b/c/d/[^/]+ """ components = path.split("/") patterns = [] for i in range...
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def platform_status_interpreter(response=None): """ iterprets request status codes results and raises appropriate msg to be passed to gui args: response response return by Platform API return: (status, response) tuple (str, dict) """ if response is not None: code = re...
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def format_math(expr): """Replace math symbols with HTML conterparts :param expr: expression to format :type expr: str :returns: replaced string """ expr2 = expr.replace(".gt.", "&gt;") expr2 = expr2.replace(".geq.", "&gt;=") expr2 = expr2.replace(".lt.", "&lt;") expr2 = expr2.repl...
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def order_nuclide_per_a(nucl_list): """Orders a list of nuclides' z-a-m ids according to their mass number (a). Parameters ---------- nucl_list: List of str List of nuclides' z-a-m ids """ changed = True while changed: changed = False for i in range(len(nucl_list) -...
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import requests def get_github_list(base_url): """ Helper to traverse paginated results from the GitHub API. Used to retrieve lists of tags and releases. """ results = [] per_page = 100 page_number = 1 while True: response = requests.get("%s?per_page=%s&page=%s" % (...
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import os def get_legacy_description(location): """ Return the text of a legacy DESCRIPTION.rst file. """ location = os.path.join(location, 'DESCRIPTION.rst') if os.path.exists(location): with open(location) as i: return i.read()
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import os def load_requirements(fname): """Turn requirements.txt into a list""" requirements = [] if os.path.exists(fname): with open(fname, "r") as fp: requirements = [line.strip() for line in fp] return requirements
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def add_labels_to_predictions_strict(preds, golds, strict=True): """ Returns predictions and missed gold annotations with a "label" key, which can take one of "TP", "FP", or "FN". """ pred_spans = {(s["start"], s["end"]) for s in preds} gold_spans = {(s["start"], s["end"]) for s in golds} ou...
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import math def sigmoid(x: float): """Sigmoid function. Parameters ---------- x """ if x < -30: return 0 if x > 30: return 1 return 1 / (1 + math.exp(-x))
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def elem_L(w, L): """ Simulation Function: -L- Returns the impedance of an inductor Kristian B. Knudsen (kknu@berkeley.edu || kristianbknudsen@gmail.com) Inputs ---------- w = Angular frequency [1/s] L = Inductance [ohm * s] """ return 1j*w*L
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def test_cache_memoize_func_attrs(cache): """Test that cache.memoize() adds attributes to decorated function.""" marker = 1 value = {} def original(a): return (a, marker) memoized = cache.memoize()(original) assert memoized.cache is cache assert memoized.uncached is original ...
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def connection_mock_factory(mocker): """Factory of DB connection mocks.""" def factory(vendor, fetch_one_result=None): connection_mock = mocker.MagicMock(vendor=vendor) cursor_mock = connection_mock.cursor.return_value cursor_mock = cursor_mock.__enter__.return_value # noqa: WPS609 ...
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import torch def nms(boxes, scores, overlap=0.45, top_k=200): """ boxes: [num_box, 4] scores: [num_box] """ count = 0 keep = scores.new(scores.size(0)).zero_().long() # boxes coordinate x1 = boxes[:, 0] y1 = boxes[:, 1] x2 = boxes[:, 2] y2 = boxes[:, 3] # area of boxe...
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def _get_longest_match(digraph, html_files): """Find the longest match between ``digraph`` and the contents of ``html_files``. Parameters ---------- digraph : str The ``digraph`` attribute of a :py:class:`Dotfile` object html_files : list A list of the Sphinx html files Returns...
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import os import pathlib def secrets_file(file_name): """ First try $HOME/.file_name, else tries /run/secrets/file_name, else raises an exception""" file_path_in_home_directory = os.path.join(str(pathlib.Path.home()), "." + file_name) if os.path.exists(file_path_in_home_directory): return file_pat...
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def get_attributes(parent, selector, attribute): """Get a list of attribute values for child elements of parent matching the given CSS selector""" return [child.get(attribute) for child in parent.cssselect(selector)]
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from typing import List def mock_random_choice(candidates: List, weights: List[float], *, k: int) -> List: """ This is a mock function for random.choice(). It generates a deterministic sequence of the candidates, each one with frequency weights[i] (count: int(len(candidates) * k). If the sum of total ...
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def reformat_icd_code(icd_code: str, is_diag: bool = True) -> str: """Put a period in the right place because the MIMIC-3 data files exclude them. Generally, procedure ICD codes have dots after the first two digits, while diagnosis ICD codes have dots after the first three digits. Adopted from: https://...
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def helper(character_dict, current_dict, word_length, word, word_lst): """ :param character_dict: dict, a dictionary that accommodates all the characters from a word :param current_dict: dict, users should input an empty dictionary :param word_length: int, the length of the word :param word: str, th...
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import glob import os def get_image_list(image_dir, recursive=True): """ Get list of image paths :param image_dir: path to image directory :type image_dir: str :param recursive: whether or not to use recursive mode :type recursive: bool :return: list of image paths :rtype: list[str] ...
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def parse(prog): """Parse a Chicken program into bytecode.""" opcodes = [] prog = prog.split('\n') for i, line in enumerate(prog, 1): count = 0 for j, word in enumerate(line.split(), 1): if word != 'chicken': raise SyntaxError('line %d word %d: expected "chi...
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