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from typing import Union from typing import List from typing import Tuple def deduplicate(x: Union[List, Tuple]): """Remove duplicates in a list or tuple; preserves original order.""" return type(x)(dict.fromkeys(x))
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def sizeof(bsObj): """ Size of BotSense object in bytes. Size is contextual by object type. """ return bsObj.__sizeof__()
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import configparser import os def read_config(config_path): """ Description: Reads config from config file. Needs to be executed first Arguments: config_path: path to config file Returns: output_path: Path to the folder of the output data """ config = configparser.ConfigPars...
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def extract_variable_index_and_name(string): """Takes a string of the form variable_name[index] and returns the variable_name, and index. The method will return a `ValueError` if the string does not contain a valid set of access brackets, or if the string contains multiple bracket accessors. P...
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import json def json_409(): """ fixture to return 409 body""" body = json.dumps({'code': 'incompatibleClientVersion', 'message': 'the version of client library used' ' is not compatible with this server', 'versionChecked': True}) ...
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import pickle def download_pathways(path_to_graphs, path_to_graphs_names, path_to_graphs_classes): """ Function loads dict of graph that was saved by docker container to graphs.pickle :param outdir: path to file with graphs :return: dict of graphs dict of names of pathways di...
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def count_violations_veber(num_rotatable_bonds, tpsa): """Veber DF, Johnson SR, Cheng HY, Smith BR, Ward KW, Kopple KD (June 2002). "Molecular properties that influence the oral bioavailability of drug candidates". J. Med. Chem. 45 (12): 2615–23. """ n = 0 if num_rotatable_bonds > 10: n ...
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async def start_entry() -> dict: """Create a mock start_entry object.""" return { "id": "start_entry_1", "race_id": "race_1", "startlist_id": "startlist_1", "bib": 1, "name": "name names", "club": "the club", "scheduled_start_time": ("2021-08-31T12:00:00")...
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def myfunc(_a, _b): """Add two numbers.""" return _a + _b
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def is_one_to_one(table): """A staticmethod that takes a codon table as a dictionary and returns True if it represents a One-To-One genetic code and False otherwise. A one-to-one code is defined as a code in which every amino acid is represented with exactly one codon. This defines an unamb...
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def shortest_distance(graph, v1, v2): """ this function computes the length of the shortest path in graph between v1 and v2 Parameters: graph: a graph described as a dictionary of dictionaries v1: the source vertex v2: the destination vertex Returns: int: the length of the s...
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def build_udf_path(root, name): """ A function to build a complete, valid UDF path based on a root directory and a name. Parameters: root - The root directory name. name - The name for the UDF entry. Returns: A valid, absolute UDF filename. """ if root and root[0] == "/": ...
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def mex(L): """Return the minimum excluded value of a list""" L = set(L) n = 0 while n in L: n += 1 return n
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def sort_tups(seq): """Nicely sorts a list of symbolic tuples, in a way we'll describe later.""" return sorted(seq,key=lambda k:(-len(k),k),reverse=True)[::-1]
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import fcntl import termios import struct def terminal_width(): """Returns the terminal width Tries to determine the width of the terminal. If there is no terminal, then None is returned instead. """ try: exitcode = fcntl.ioctl( 0, termios.TIOCGWINSZ, ...
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def clip_by_tensor(t, t_min, t_max): """ clip_by_tensor :param t: tensor :param t_min: min :param t_max: max :return: clipped tensor """ t = t.float() result = (t >= t_min).float() * t + (t < t_min).float() * t_min result = (result <= t_max).float() * result + (result > t_ma...
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import six def ggb_test(func): """Wrapper to test function. :param func: test function :return: wrapper function """ @six.wraps(func) def wrapper(*args, **kwargs): ret = func(*args, **kwargs) return ret return wrapper
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def _get_magnitude(string): """ Get the magnitude of the smallest significant value in the string :param str string: A representation of the value as a string :returns: The magnitude of the value in the string. e.g. for 102, the magnitude is 0, and for 102.03 it is -2 :rtype: int """ split_...
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def __get_pivots(diameter, x, y): """ Get the x-intercepts and y-intercepts of the circle and return a list of pivots which the coin lies on. """ pivots = [] radius = diameter / 2 sqval = radius**2 - y**2 if sqval > 0: # no imaginary numbers! sqrt = sqval**(0.5) piv...
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def handle_special(self, req): """Mock this on ResponseThreadPool so it doesn't touch anything in `commands` package. """ if "filename" in req.skwargs or "streamed" in req.skwargs or "chunked" in req.skwargs: return True return False
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def create_filename(lecture_num, title): """ Create a filename from a title string. Converts spaces to dashes and makes everything lowercase Returns: lecture filename """ return "lecture-{:02d}{}.md".format(int(lecture_num), "" if not title else '-' + title.lower().replace(" ", "-"))
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def get_line(s3_autoimport): """Build a list of relevant data to be printed. Args: s3_autoimport (S3ProjectImport): instance of S3 autoimport Returns: list(str): list of relevant data to be printed """ return "\t".join( [ str(s3_autoimport.id), ...
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def FindPhaseByID(phase_id, phases): """Find the specified phase, or return None""" for phase in phases: if phase.phase_id == phase_id: return phase return None
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def dataToString(var, data): """Given a tuple of data, and a name to save it as returns var <- c(data) """ #convert data to strings d = [str(d) for d in data] return "%s <- c(%s)" % (var, ",".join(d))
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def alt_ternary_handle(tokens): """Handle if ... then ... else ternary operator.""" cond, if_true, if_false = tokens return "{if_true} if {cond} else {if_false}".format(cond=cond, if_true=if_true, if_false=if_false)
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def create_LUT_array(alpha): """ Funkcja tablicujaca wartosci pikseli w zaleznosci od parametru alpha. @param alpha - wspolczynnik kontrastu @return LUT_array - tablica [lista] LUT """ # Przygotuj pusta tablice [liste] LUT LUT_array = [] # wzor na wartosc i-tego elementu tablicy: # 0 ...
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def extract_volume_number(value): """Extract the volume number from a string, returns None if not matched.""" return value.replace("v.", "").replace("v .", "").strip()
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def get_full_exception_name(exception: Exception) -> str: """Get the full exception name i.e. get sqlalchemy.exc.IntegrityError instead of just IntegrityError """ module = exception.__class__.__module__ if module is None or module == str.__class__.__module__: return exception.__class__.__nam...
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def get_winning_party_info(result): """Get winning party result.""" return result['by_party'][0]
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def prettyTimeDelta (seconds): """ Pretty-print seconds to human readable string 1d 1h 1m 1s """ seconds = int(seconds) days, seconds = divmod(seconds, 86400) hours, seconds = divmod(seconds, 3600) minutes, seconds = divmod(seconds, 60) s = [(days, 'd'), (hours, 'h'), (minutes, 'm'), (se...
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def _convert_snake_to_pascal(snake_case_string: str) -> str: """ Convert a string provided in snake_case to PascalCase """ return ''.join(word.capitalize() for word in snake_case_string.split('_'))
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def read_file_str(file_path: str) -> str: """ Read the target file string. Parameters ---------- file_path : str Path of target file. Returns ------- file_str : str The target string read. """ with open(file_path, mode='r', encoding='utf-8') as f: file_s...
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def cut_year(plain_date): """ cut out the first four year number from a 'yyyymmdd' formatted date write as a separate function because the apply(lambda x) one doesn't work as expected """ return plain_date[4:]
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def groundStateEnergy(energies): """Return the energy of the half-filled ground state. The list of electronic state energies is assumed to be sorted in ascending order.""" chain = len(energies) if chain % 2 == 0: return 2*sum(energies[0:(chain/2)]) else: return 2*sum(energi...
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def get_fs(module, blade): """Return Filesystem or None""" fsys = [] fsys.append(module.params["name"]) try: res = blade.file_systems.list_file_systems(names=fsys) return res.items[0] except Exception: return None
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def getHlAtt(app, n, highlights, isSlot): """Get the highlight attribute and style for a node for both pretty and plain modes. Parameters ---------- app: obj The high-level API object n: int The node to be highlighted highlights: set|dict The nodes to be highlighted. ...
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def dir_tree_find(tree, kind): """Find nodes of the given kind from a directory tree structure Parameters ---------- tree : dict Directory tree. kind : int Kind to find. Returns ------- nodes : list List of matching nodes. """ nodes = [] if isinstan...
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import base64 def base64_auth(login: str, secret: str) -> str: """ The function returns BASE64 encoded string for AUTH. :param login: login :param secret: password :return: """ auth_str = f"{login}:{secret}" auth_b64 = base64.b64encode(auth_str.encode(encoding='utf-8')) return auth...
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def solve_tridiag(a, b, c, d, overwrite_bd=False): """ Solve a tridiagonal equation system using the Thomas algorithm. The equivalent using scipy.linalg.solve_banded would be: ab = np.zeros((3, len(a))) ab[0, 1:] = c[:-1] ab[1, :] = b ab[2, :-1] = a[1:] x = scipy.li...
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def rectangle_centroid(rectangle): """ get the centroid of the rectangle Keyword arguments: rectangle -- polygon geojson object return centroid """ bbox = rectangle['coordinates'][0] xmin = bbox[0][0] ymin = bbox[0][1] xmax = bbox[2][0] ymax = bbox[2][1] xwidth = xmax ...
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def intToDBaseTuple(x, dim, D): """ Transfer a integer to a base-D fixed-length tuple of digits. Parameters ---------- x : int A positive integer to be transformed into base-D. dim : int The length of digit tuple as the output. D : int The base of the digit tuple. ...
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def is_device_memory(obj): """All CUDA memory object is recognized as an instance with the attribute "__cuda_memory__" defined and its value evaluated to True. All CUDA memory object should also define an attribute named "device_pointer" which value is an int object carrying the pointer value of th...
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def list_product(num_list): """Multiplies all of the numbers in a list """ product = 1 for x in num_list: product *= x return product
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def multiChoiceParam(parameters, name, type_converter = str): """ multi choice parameter values. :param parameters: the parameters tree. :param name: the name of the parameter. :param type_converter: function to convert the chosen value to a different type (e.g. str, float, int). default = 'str' :re...
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import json def get_params_of_task(task, exclude=[]): """ for some reasons luigi encode dict params to json. we revert it here :param task: :param exclude: :return: """ # undo encoding of dicts to string params = task.to_str_params(only_significant=True, only_public=True) # each va...
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def lin_interp(x, x0, x1, y0, y1): """ Simple helper function for linear interpolation. Estimates the value of y at x by linearly interpolating between points (x0, y0) and (x1, y1), where x0 <= x < x1. Args: x: Float. x-value for which to esrimate y x0: Float. x-value of point 0 ...
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def output_size(W, F, P, S): """ https://adventuresinmachinelearning.com/convolutional-neural-networks-tutorial-in-pytorch/ :param W: width in :param F: filter diameter :param P: padding :param S: stride :return:width out """ return (W-F+2*P)/S + 1
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import pickle import os def load_statuses(): """ Loads statuses from pickle :return: Dictionary of statuses """ try: return pickle.load(open(os.path.join("config", "statuses.p"), "rb")) except (OSError, IOError) as e: return {}
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import torch def out_degree(adjacency: torch.Tensor) -> torch.Tensor: """Compute out-degrees of nodes in a graph. Parameters ---------- adjacency Adjacency matrix. Shape: :math:`(N_{nodes},N_{nodes})` Returns ------- torch.Tensor Nodewise out-degree tensor. ...
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import six import re def is_valid_mac(mac): """Verify the format of a MAC addres.""" if not mac: return False m = "[0-9a-f]{2}([-:])[0-9a-f]{2}(\\1[0-9a-f]{2}){4}$" return isinstance(mac, six.string_types) and re.match(m, mac.lower())
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def find_path(start, goal, unit): """A very basic path finding algorithm (Breadth First Search) that when given a starting Tile, will return a valid path to the goal Tile. Args: start (Tile): the starting Tile goal (Tile): the goal Tile unit (Unit): the Unit that will move Returns: ...
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def is_fasta_file_extension(file_name): """ Check if file has fasta extension Parameters ---------- file_name : str file name Returns ------- bool True if file has fasta extension, False otherwise """ if file_name[-4:] == ".fna": return True elif file_name[-4:] == ".faa": return True elif file_nam...
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from typing import Union def _get_remainder(code: Union[list, int]) -> int: """Calculate remainder of validation calculations. :param Union[list, int] code: input code :return: remainder of calculations :rtype: int :raises TypeError: if code is not a list or an integer """ # raise an exc...
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def _is_group(token): """ sqlparse 0.2.2 changed it from a callable to a bool property """ is_group = token.is_group if isinstance(is_group, bool): return is_group else: return is_group()
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import textwrap import argparse def get_argparser(): """Returns an `ArgumentParser()` for parsing command line options.""" example_text = textwrap.dedent( # ignore common whitespace for all lines """ examples: ghstar gokulsoumya/ghstar ghstar jlevy/the-art-of-command-line ...
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import warnings def force_connect(client): """ Convenience to wait for a newly-constructed client to connect. Taken from pymongo test.utils.connected. """ with warnings.catch_warnings(): # Ignore warning that "ismaster" is always routed to primary even # if client's read preferenc...
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def check_for_gold(bag, bag_rules): """Check if a shiny gold bag can be inside a bag""" rule = bag_rules[bag] if len(rule.keys()) == 1 and 'other bags' in rule.keys(): return False elif 'shiny gold bags' in rule.keys(): return True else: for n in rule.keys(): retu...
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def read_names(path): """ Read the files with names of classes and returns one array with strings @param path path to the file """ file = open(path, 'r') return file.readlines()
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def assign_node_sizes(graph, default_size=100, default_scale=25): """assign node sizes by total number of friends in whole network.""" sizes = [] for node in graph.nodes_iter(data=True): try: node_size = node[1]['friends_total'] / default_scale node_size += 1 node...
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def pytest_assertrepr_compare(config, op, left, right): """See full error diffs""" if op in ("==", "!="): return ["{0} {1} {2}".format(left, op, right)]
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def get_filedata_strings(data): """ Return a dictionary with comma-separated list of LFNs, guids, scopes, datasets, ddmendpoints, etc. :param data: job [in|out]data (list of FileSpec objects). :return: {'lfns': lfns, ..} (dictionary). """ lfns = "" guids = "" scopes = "" datasets =...
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def int_to_little_endian(n, length): """endian_to_little_endian takes an integer and returns the little-endian byte sequence of length""" # use the to_bytes method of n return n.to_bytes(length, "little")
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def unescape(st): """ Unescape special chars and return the given string *st*. **Examples**: >>> unescape('\\\\t and \\\\n and \\\\r and \\\\" and \\\\\\\\') '\\t and \\n and \\r and " and \\\\' """ st = st.replace(r'\"', '"') st = st.replace(r'\n', '\n') st = st.replace(r'\r', '\r...
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def get_mapping(gappy_q, gappy_r): """ Produces a mapping from a gapped pairwise alignment. A mapping represents a mapped read, and contains all the information to reconstruct a read sequence based on a reference sequence. :return: tuple of tuples (basically a list of operations to perform on the refere...
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import torch def batch_project(xyz_tensor, K): """ Project a point cloud into pixels (u,v) given intrinsic K [u';v';w] = [K][x;y;z] u = u' / w; v = v' / w :param the xyz points :param calibration is a torch array composed of [fx, fy, cx, cy] ------- :return u, v grid tensor in image coord...
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def makeGetpass(*passphrases): """ Return a callable to patch C{getpass.getpass}. Yields a passphrase each time called. Use case is to provide an old, then new passphrase(s) as if requested interactively. @param passphrases: The list of passphrases returned, one per each call. @return: A call...
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import os import sys def find_default_qmake(): """Find a default qmake, ie. the first on the path. """ try: path = os.environ["PATH"] except KeyError: path = "" if sys.platform == 'win32': base_qmake = "qmake.exe" else: base_qmake = "qmake" for d in path.s...
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import time def generate_footer(): """Creates the footer for the bottom of the pages""" curtime = time.localtime() time_string = str(curtime.tm_mon) + "/" + str(curtime.tm_mday) + "/" + str(curtime.tm_year) return_string = "<p>Documentation updated on " + time_string + "</p>" return_string += "<p>Written in Pyt...
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def format_sig(name, args, retv): """ Format method signature with Javap's method definition style. Arguments are: name of method, list of argument types, and type of return value. >>> format_sig('getSomeValue', ['int', 'java.lang.String'], 'org.mydomain.myapp.SomeData[]') u'org.mydomain.myapp....
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def myfunc(group): """helper function""" #get all players into a set w_set = set(group['winner_name']) l_set = set(group['loser_name']) #u_set contains all names of participating players group['player_sums'] = len(w_set.union(l_set)) return group
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def missing(records): """Returns a tuple indicating any fields missing from the records in the set.""" return dict((r.key.key, r.missing()) for r in records if not r.valid())
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import re def get_consonant_repeat_frequency(words): """Check for repeating consonant frequency for a given set of words. Args: words (list): A list of words Returns: dict: The data and summary results. """ count = 0 cons = re.compile(r'[^a|e|i|o|u{6}]') for val in words:...
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import os def module_list(_print=True) -> tuple: """ #### Returns a tuple with basic and extra modules. #### Parameters * `_print`: if True, prints the modules. """ basics = [f for f in os.listdir("ezsgame") if f.endswith(".py")] extras = [f for f in os.listdir("ezsgame/extra"...
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from typing import Any from typing import Mapping def _get_field_value(value: Any, *, params: Mapping[str, Any]) -> Any: """ Returns the given value with any converters applied. """ converter = params.get("converter", None) if converter is not None: return converter(value) return value
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import collections def GetTurnStats(game_results): """Returns a histogram of game lengths (in rounds played).""" hist = collections.Counter() for game_result in game_results: hist[game_result.num_rounds_played] += 1 return hist
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def _ParseIssueReferences(issue_ref_list): """Parses a list of issue references into a tuple of IDs added/removed. For example: [ "alpha:7", "beta:8", "-gamma:9" ] => ([ "7", "8" ], [ "9" ]) NOTE: We don't support cross-project issue references. Rather we just assume the issue reference is within the same pro...
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import os import shlex import subprocess def execute(cmd, raise_error=True, no_venv=False, exec_env=None, expect_exit=True, expected_exitcode=0, context=None): """ Executes a command in a subprocess. Returns a tuple of (exitcode, out,...
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import os def meter_info(): """Get the meter status information, if running in the meter-status-changed hook.""" return os.environ.get('JUJU_METER_INFO')
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def get_lonlat_list(location): """Helper to return a list of lonlat tuples of coordinates in a location""" lonlat_list = [] if hasattr(location, "lon") and hasattr(location, "lat"): lonlat_list.append((location.lon, location.lat)) if hasattr(location, "point"): lonlat_list.append((locati...
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import base64 def write_to_data_uri(s): """ Writes to a uri. Use this function to embed javascript into the dash app. Adapted from the suggestion by user 'mccalluc' found here: https://community.plotly.com/t/problem-of-linking-local-javascript-file/6955/2 """ uri = ( ('data:;base64...
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def cart2(list1: list, list2: list) -> list: """Cartesian product of two lists. :param list list1: input list 1 :param list list2: input list 2 :return: a new list contains all Cartesian products of the two lists. :rtype: list >>> cart2(['a','b'], [1,2]) [['a',1],['a',2],['b',...
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def get_sentences(docs, min_words): """ Given a set of documents we extract all sentences that pass a minimum word threshold ARGS: docs(list of Documents), min_words(int) Returns: sentences(list of Sentences) """ sentences = [] [sentences.extend(doc.get_filtered_sentences(min_words)) for doc...
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import re def solution(s): """ Complete the solution so that it splits the string into pairs of two characters. If the string contains an odd number of characters then it should replace the missing second character of the final pair with an underscore ('_'). """ if not len(s) % 2 == 0: ...
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def _get_best_results(hparams): """Summary of the current best results.""" tokens = [] for metric in hparams.metrics: tokens.append("%s %.2f" % (metric, getattr(hparams, "best_" + metric))) return ", ".join(tokens)
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import os def get_filenames(dataset_dir, extension): """ Returns a list of filenames. Args: dataset_dir: A directory containing a set of files. extension: extension of the file to return. Returns: A list of file paths, relative to `dataset_dir and depending on `extension. """ ...
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def interface_seen(seen, iface): """Return True if interface already is seen. """ for seen_iface in seen: if seen_iface.extends(iface): return True return False
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import os def localise_term_directory(src_dir, st_term_dir, request_type): """Localise the terminal directory path.""" if st_term_dir is None: raise RuntimeError('The {} sphinx config value must be set when ' 'loading {} from a file.'.format(*request_type)) # localise th...
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def compute_conv_output_dim(ifm_dim, k, stride, total_pad=0, dilation=1): """Returns spatial output dimension size for convolution with given params. total_pad gives the total amount of padding along the entire axis (both sides included). """ if ifm_dim == 1: # indicates dummy dimension, kee...
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import argparse def parse_arguments(): """ Parse arguments """ parser = argparse.ArgumentParser() parser.add_argument("number_of_records", help="number of people", type=int) parser.add_argument("firstname", help="first name off entry") parser.add_argument("lastname", help=...
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import re def find_str(string: str, pattern: str) -> list: """ Find all indices of patterns in a string Parameters ---------- string : str input string pattern : str string pattern to search Returns ------- ind : list list of starting indices """ i...
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from datetime import datetime def get_listing_date(listing: dict) -> str: """Milliseconds since epoch""" try: return datetime.fromtimestamp( listing["publishData"]/1000).strftime("%Y-%m-%d") except KeyError: return datetime.now().strftime('%Y-%m-%d')
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def search_beam(hdulist): """ Will search the beam info from the HISTORY :param hdulist: :return: """ header = hdulist[0].header history = header['HISTORY'] history_str = str(history) #AIPS CLEAN BMAJ= 1.2500E-02 BMIN= 1.2500E-02 BPA= 0.00 if 'BMAJ' in history_str: ...
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import pprint import time def await_containerrun(session, containerrun): """Given a `KiveAPI instance and a container run, monitor the run for completion and return the completed run. """ ACTIVE_STATES = "NSLR" INTERVAL = 1.0 MAX_WAIT = 300.0 starttime = time.time() elapsed = 0.0 ...
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def create_token_content_id(iteration): """ :param iteration: :return: """ return 'tokenContent' + iteration
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import subprocess def zfs(*arguments): """ Run a 'zfs' command with given arguments, raise on non-0 exit code. @return: stdout bytes. """ return subprocess.check_output(["zfs"] + list(arguments))
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def length(value): """ Computes indicator from Indicator :param Numlike values: values to count indicator from :return: float """ return value.upper - value.lower
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import torch def log_mean_exp(x, dim=1): """ log(1/k * sum(exp(x))): this normalizes x. @param x: PyTorch.Tensor samples from gaussian @param dim: integer (default: 1) which dimension to take the mean over @return: PyTorch.Tensor mean of x """ m =...
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import os def setup(i): """ Input: { cus/full_path - the path of the found python file (or directory if "soft_can_be_dir") cus/soft_can_be_dir - set to "yes" if you are looking for a directory, not a regular file cus/required_depth - how many EXTRA STE...
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from typing import Dict from typing import List def _continuous_columns(feature_types: Dict) -> List[str]: """ Parameters ---------- feature_types : Dict Column name mapping to list of feature types ordered by most to least relevant. Returns ------- List[str] List of colum...
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import torch def view_as_real(data): """ Returns a view of data as a real tensor. For an input complex tensor of size (N, ...) this function returns a new real tensor of size (N, ..., 2) where the last dimension of size 2 represents the real and imaginary components of complex numbers. Parameter...
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