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import numpy def _from_records(vals, keys, typs=None, idxs=None): """ create a table from a series of records """ if numpy.size(vals): assert numpy.ndim(vals) in (1, 2) vals = (numpy.array(vals) if numpy.ndim(vals) == 2 else numpy.reshape(vals, (-1, 1))) else: v...
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def _build_rank_str(board, rank): """ Builds string for a given rank (row). Parameters ---------- board : chess.table.Board Board to display rank : int Rank to build string for. Returns ------- str row representation for a given rank. """ rank_str = '%s ...
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from datetime import datetime def get_description(): """ Return a dict describing how to call this plotter """ desc = dict() desc['data'] = True desc['description'] = """This plot displays the directional frequency of day to day changes in high or low temperature summarized by month.""" desc['...
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def train_discriminator( discriminator_loss, global_step, params, generator_scope, encoder_scope, discriminator_scope): """Returns discriminator's objects needed for training. Args: discriminator_loss: tensor, discriminator's loss with shape []. g...
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from typing import Dict from typing import Hashable from typing import List def tabulate(*ds: D) -> Dict[Hashable, List[float]]: """ Tabulate data from a sequence of numdicts. Produces a dictionary inheriting its keys from ds, and mapping each key to a list such that the ith value of the list is equ...
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def amplitude(data): """ Calculates the amplitude of a data list. """ n = len(data) if (n == 0) : amplitude = None else : min_value = min(data) max_value = max(data) amplitude = (max_value + min_value) / 2.0 return amplitude
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import subprocess import re def mountpoint_dataset(mountpoint: str): """ Check if dataset at mountpoint is a 'zfs' mount. return dataset, or None if not found """ try: mount_list = _mount_list() except subprocess.CalledProcessError: raise RuntimeError(f"Failed to get mount data...
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import functools import sys import traceback import pdb def debug_on(*exceptions): """Adapted from https://stackoverflow.com/questions/18960242/is-it-possible-to-automatically-break-into-the-debugger-when-a-exception-is-thro/18962528 """ if not exceptions: exceptions = (AssertionError,) def ...
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import math def get_force_block_pack( hyps: np.ndarray, name: str, s1: int, e1: int, s2: int, e2: int, same: bool, kernel, cutoffs, hyps_mask, ): """Compute covariance matrix element between set1 and set2 :param hyps: list of hyper-parameters :param name: name of th...
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def ranks_from_scores(scores): """Return the ordering of the scores""" return sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)
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import requests def validate_url( url: str, username: str | None, password: str, verify_ssl: bool, authentication: str = HTTP_BASIC_AUTHENTICATION, ) -> str: """Test if the given setting works as expected.""" auth: HTTPDigestAuth | HTTPBasicAuth | None = None if username and password: ...
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import struct def unpack_word(str, big_endian=False): """ Unpacks a 32-bit word from binary data. """ endian = ">" if big_endian else "<" return struct.unpack("%sL" % endian, str)[0]
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def test_two_to_one_connected(): """Two converging lines. --func1(.)--+ | +-func2(.,.)-- | --func1(.)--+ """ def func1(x): return x * 2 def func2(x, y): return x + y in_actor1 = FuncActor(func1, outports=('a', )) in_act...
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import ast def parse_source(source, path=None): """Parse python source into an AST.""" path = "<unknown>" if path is None else path return ast.parse(source, filename=path)
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def preprocess_img(img): """ Downsample Gridworld image by a factor of 2. :param img: grid image (25, 25, 3) :return: Grayscale downsample version (105, 80) """ return (img[::2, ::2, :]).astype(np.uint8)
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def _plot_by_category( summary: pd.DataFrame, currency: str=None, height: int=None, ) -> dict: """ Helper function for :func:`plot`. """ if summary["by_category"].empty: return pg.Figure() f = summary["by_category"].copy() if currency is None: currency = "" ho...
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def validate_date_window(days): """Validate the date range for the Security Fairy query""" window = abs(days) if window > 30 or window < 1: print window raise ValueError('Valid number of days is between 1 and 30 inclusive.') return window
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import logging import dateutil def get_script_logs(script): """Get a script logs""" logging.info('[ROUTER]: Getting script logs of script %s ' % (script)) try: start = request.args.get('start', None) if start: start = dateutil.parser.parse(start) last_id = request.args....
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def _enumerate_shifted_anchor(anchor_base, feat_stride, height, width): """ 根据上面函数在原图的第(0,0)个特征图感受野中心位置生成的anchor_base, 在原图的特征图感受野中心生成anchors :param anchor_base: anchors的坐标 :param feat_stride: 特征图缩小倍数(步长) :param height: 特征图高度 :param width: 特征图宽度 :return: 原图上所有的anchors坐标,[h * w * #anchor,4] ...
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def interaction(data, factors, pairwise, max_factors, min_occurrence, destination_frame=None): """ Categorical Interaction Feature Creation in H2O. Creates a frame in H2O with n-th order interaction features between categorical columns, as specified by the user. Parameters ---------- data : H2OFrame ...
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import struct def GetFloat(ea): """ Get value of a floating point number (4 bytes) This function assumes number stored using IEEE format and in the same endianness as integers. @param ea: linear address @return: float """ tmp = struct.pack("I", Dword(ea)) return struct.unpack...
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def find_cod(query=None): """ Find city or state information. Parameters ---------- query : str or int if str search by name, int find by cod Returns ------- DataFrame Examples -------- >>> find_cod("Rio de Janeiro") cod_ibge ente capital ...
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import argparse def post_process_arguments(args: argparse.Namespace) -> argparse.Namespace: """ post process sertop arguments :param args: args parsed :return: new name space """ for dirpath in args.coq_args_I: args.sertop_args.extend(("-I", dirpath)) for pair in args.coq_args_R: ...
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async def async_setup(opp, config): """Set up the onboarding component.""" store = OnboadingStorage(opp, STORAGE_VERSION, STORAGE_KEY, private=True) data = await store.async_load() if data is None: data = {"done": []} if STEP_USER not in data["done"]: # Users can already have creat...
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def is_hit(x, y): """Return wheter given coords hit a circular target of r=1.""" return x*x + y*y <= 1
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def get_user_by_id( id: UUID, current_user=Depends(get_current_user) ): """ Get user by ID """ user = find_user_by_id(id) return user
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def set_fpn_weights(training_model, inference_model, verbose=False): """ Set feature pyramid network (FPN) weights from training to inference graph Args: training_model: MaskRCNN training graph, tf.keras.Model inference_model: MaskRCNN inference graph, tf.keras.Model verbose: ...
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def empty_graph(n=0, create_using=None, default=nx.Graph): """Returns the empty graph with n nodes and zero edges. Parameters ---------- n : int or iterable container of nodes (default = 0) If n is an integer, nodes are from `range(n)`. If n is a container of nodes, those nodes appear i...
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import time def connect(**kwargs) : """Connects to host, port with authorization. Returns client, expname, detname, db_exp, db_det, fs_exp, fs_det, col_exp, col_det """ host = kwargs.get('host', cc.HOST) port = kwargs.get('port', cc.PORT) user = kwargs.get('user', cc.USERNAME) ...
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def initialize(): """ to initialize the parameters :return: stat: type dict, trans_pro: transition probability, trans_rew: transition reward """ num_state = 2 #the number of states num_action = 2 #the number of actions q_value = np.zeros((num_state, num_action)) #size:2x2 trans_pro ...
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def _get_persistent_binding(app, device_addr): """ :return: bool """ x = app.__dict__.get('persistent_binding', False) if x and device_addr is None: msg = ('In case of `persistent_binding` set to `True`, ' 'the `device_addr` should be set and fixed.') raise...
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from typing import List def build_columns(columns: List[dict], is_temp=False) -> List[str]: """ Build up partial DDL for all non-skipped columns. For our final table, we skip the IDENTITY (which would mess with our row at key==0) but do add references to other tables. For temp tables, we use IDEN...
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def calcSignatureOverlaps(mode_ensemble, diag=True): """Calculate average mode-mode overlaps for a ModeEnsemble.""" if not isinstance(mode_ensemble, ModeEnsemble): raise TypeError('mode_ensemble should be an instance of ModeEnsemble') if not mode_ensemble.isMatched(): LOGGER.warn('mode...
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from typing import Optional def config(config_path: Optional[str] = None) -> ServerConfig: """Retrieve server configuration, loading it from disk once and caching it.""" global _CONFIG # pylint: disable=global-statement if _CONFIG is None: _CONFIG = _load_config(config_path) return _CONFIG
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import math def pop_age_data(pop, code, age, percent_pop): """Select and return the proportion value of population for a given municipality, gender and age""" n_pop = pop[pop['code'] == str(code)][age].iloc[0] * percent_pop rounded = int(round(n_pop)) # for small `percent_pop`, sometimes we get 0...
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def get_messier_object_by_mid(mid): """ Reply with the Messier object based on mid :param mid: :return: """ # perform a case-insensitive search messier_object = messier_collection.find_one({'mid': {'$regex': mid, '$options': '-i'}}) if not messier_object: abort(404) messi...
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import functools def idawrite_async(f): """ Decorator for marking a function as completely async. """ @functools.wraps(f) def wrapper(*args, **kwargs): ff = functools.partial(f, *args, **kwargs) return idaapi.execute_sync(ff, idaapi.MFF_NOWAIT | idaapi.MFF_WRITE) return wrapper
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def port_is_used(port, host="127.0.0.1"): """ Returns if port is used. Port is considered used if the current process can't bind to it or the port doesn't refuse connections. """ unused = _can_bind(port, host) and _refuses_connection(port, host) return not unused
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from typing import OrderedDict def video_info_url_age_restricted(video_id: str, embed_html: str) -> str: """Construct the video_info url. :param str video_id: A YouTube video identifier. :param str embed_html: The html contents of the embed page (for age restricted videos). :rtype: st...
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def memcached(servers, key=None, from_cache=None, to_cache=None, time=0, min_compress_len=0, debug=False): """memcached memoization function decorator. The wrapped function is expected to return a value that is stored to a memcached server, first translated by `to_cache` if provided. In the e...
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def slice_length(key: slice, length: int) -> int: """Calculate the length of the slice. Args: key: The slice to calculate the length of. length: The maximum length of the slice. Returns: The length of the slice. """ return len(range(*_slice_default_bounds(key, length)))
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def navamsa_from_long(longitude): """Calculates the navamsa-sign in which given longitude falls 0 = Aries, 1 = Taurus, ..., 11 = Pisces """ one_pada = (360 / (12 * 9)) # There are also 108 navamsas one_sign = 12 * one_pada # = 40 degrees exactly signs_elapsed = longitude / one_sign fraction_left = sig...
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import math def LogNormalRiskyDstnDraw(RiskyAvg=1.0, RiskyStd=0.0): """ A class for generating functions that draw random values from a log-normal distribution as parameterized by the input `RiskyAvg` and `RiskyStd` values. The returned function takes no argument and returns a value. """ Risky...
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def register(add_parser, _): """Adds this sub-command's parser and returns the action function""" parser = add_parser('cat', help='output files by job or instance uuid') parser.add_argument('target-entity', nargs=1, help='Accepts either a job or an instance UUID or URL. The latest in...
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import io def is_serialised(serialised): """ Detects whether some bytes represent an enumerated type. :param serialised: The bytes of which the represented type is unknown. :return: ``True`` if the bytes represent an enumerated type, or ``False`` if it doesn't. """ try: unicode_string = io.TextIOWrapper(io.B...
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def compare_connexion(conn1, conn2): """See if two connexions are the same. Because the :class:`connexion` could store the two components in different orders, or have different instances of the same component object, direct comparison may fail. This function explicitly compares both possible combina...
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def get_station(station_number: str, db: Session = Depends(get_db)): """ Get information about a stream monitoring station. Data sourced from the National Water Data Archive. https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/nation...
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from typing import Union import pytz def get_reminder_timezone( bot: Union[Sopel, SopelWrapper], reminder: Reminder ) -> pytz.BaseTzInfo: """Select the appropriate timezone for the ``reminder``. :param bot: bot instance :param reminder: reminder to get the timezone for :return: the appropriat...
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from typing import Union from typing import Any def is_successful_result(value: Union[MiddlewareResult, Any]) -> bool: """Returns ``True``, if given value is a successful middleware result.""" if value == MiddlewareResult.IGNORE: return False return True
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from typing import List from typing import Any from typing import Callable import click def generate_dynamic_multicommand( commands: List[Any], callback_function: Callable, create_short_names: bool = False ) -> Any: """Use provided dict to create a dynamic click.MultiCommand.""" has_sh...
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import os def get_verifier_repo_dir(verifier_id): """ Returns installed verifier repo directory for Tempest """ if not verifier_id: verifier_id = get_verifier_id() return os.path.join(getattr(config.CONF, 'dir_rally_inst'), 'verification', '...
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def rmssd(nni: np.ndarray) -> float: """ Root mean square of differences. Params: nni (np.ndarray): R-peak intervals Returns: float """ return np.sqrt(np.mean(np.square(np.diff(nni))))
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import os import re import errno def get_kernel_pos_from_iomem(machine=None): """Get the position of some kernel segments using /proc/iomem Since Linux 4.6, access to physical addresses in /proc/iomem is restricted to privileged users, cf. commit 51d7b120418e ("/proc/iomem: only expose physical resou...
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def without_end_slash(url): """Makes sure there is no end slash at the end of a url.""" return url.rstrip("/")
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import os def get_ipython_dir(): """Find the ipython local directory. Usually is <home>/.ipython""" if hasattr(itango, "get_ipython_dir"): return itango.get_ipython_dir() if hasattr(IPython.iplib, 'get_ipython_dir'): # Starting from ipython 0.9 they hadded this method return IPyth...
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def find_cutlevels(image, min_percent=None, max_percent=None, percent=None): """ Find pixel values of the minimum and maximum image cut levels from percentiles of the image values. Parameters ---------- image : array_like The 2D array of the image. min_percent : float, optional ...
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def get_products(product_id): """ Retrieve a single Product This endpoint will return a Product based on its id """ app.logger.info("Request for product with id: %s", product_id) product = Product.find(product_id) if not product: raise NotFound("Product with id '{}' was not found.".f...
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from sys import path import re def _parse_file(): """Parse the config from a file. Note: Assumes any value that ``"$LOOKS_LIKE_THIS"`` in a service definition refers to an environment variable, and attempts to get it accordingly. """ file_name = path.join( path.abspath(path...
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import sys import json def get_answers() -> dict: """Return a dictionary containing every answer.""" with open(sys.argv[1], "r") as f: answers = json.load(f) return answers
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import getpass import click import sys def enter_password(prompt: str, default: str = '') -> str: """Hidden password input""" try: password = getpass(prompt) except (KeyboardInterrupt, EOFError): click.echo(None) sys.exit(1) if not password and default: password = defa...
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def CloneNodeList(nodeList): """Return a clone of the given nodeList.""" # This is tricky because we want to maintain client/server links # make a list of cloned nodes, map maps original nodes to new nodes cloneList = [] map = {} for node in nodeList: newNode = node.Clone() newNode.RemoveAllServers() clone...
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import os import errno def last_bytes(path, num): """Return num bytes from the end of the file and unread byte count. Returns a tuple containing some content from the file and the number of bytes that appear in the file before the point at which reading started. The content will be at most ``num`` by...
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def project_stabilized_state(stabilizer_list, num_qubits=None, classical_state=None): """ Project out the state stabilized by the stabilizer matrix |psi> = (1/2^{n}) * Product_{i=0}{n-1}[ 1 + G_{i}] |vac> :param List stabilizer_list: set of PauliTerms that are the stabiliz...
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import os def newMenuItem(restaurant_id): """ Create a menu item with a specific restaurant's id. :param restaurant_id: Restaurant's id to which new menu item belongs. :return: on GET: Render new menu form template. on POST: Redirect to the menu page if the create request has been succeeded. ...
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def get_license_banner(comment: str = "") -> str: """Returns a commented out license banner. comment is the style of comment supported by the source file type. """ return apply_comment(LICENSE_BANNER, comment)
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def parseXML(xml_filename: str) -> dict: """ This function generates an annotation dictionary representation of the contents of the specified XML filename. Args: xml_filename (str): Relative path to the XML file Returns: annotation (dict): Fepresentation of the entire XML file """ ...
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from typing import Optional from typing import List async def direct_messages(sessionid: str = Form(...), thread_id: int = Form(...), amount: Optional[int] = Form(20), clients: ClientStorage = Depends(get_clients)) -> List[DirectMessage]: ""...
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def randfor_cv(Xs, ys, folds=8, iterations=1, n_estimators=50, max_features='log2', random_state=44, n_jobs=8): """Compute random forest regression accuracy statistics, shuffling at the sequence level.""" r2s = [] pcors = [] for i in range(iterations): rs_iter = random_state + i ...
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def var(u: Vec) -> float: """Computes the variance of the vector components Args: u (Vec): vector of values Raises: ValueError: if u is not provided or u is of non-numeric integral type Returns: float: the variance of the vectors components """ if not u: raise ...
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def calculate_final_assembly_tipracks(final_assembly_dict): """Calculates the number of final assembly tipracks required ensuring no more than MAX_FINAL_ASSEMBLY_TIPRACKS are used. """ final_assembly_lens = [] for values in final_assembly_dict.values(): final_assembly_lens.append(len(values...
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import logging def enforce_timeout_range(timeout_delta): """Enforce the range of allowed timeout values based on constants TIMEOUT_MIN Warnings are raised if the timeout is outside of the range. timeout_delta(timedelta): Timeout setting as instance of timedelta. """ if timeout_delta < TIMEOUT_MIN...
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def cross_validation_split(dataset, folds=10): """Return dataset split into 10 folds""" dataset_split = list() dataset_copy = list(dataset) fold_size = int(len(dataset) / folds) for i in range(folds): fold = list() while len(fold) < fold_size: index = randrange(len(datase...
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def assert_configs_work(backend, client_config, server_config, hostname=None): """ Given a pair of configs (one for the client, and one for the server), creates contexts and buffers, performs a handshake, and then sends a bit of test data to confirm the connection is up. Returns the client and serv...
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def read_result_file(fname): """ read file with world record distances/paces """ running_paces = [] with open(fname, 'r') as result_file: for line in result_file: ent = line.split() if 'distance' in ent[0]: continue dist_meters = float(ent[0]) * 10...
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def is_droid_in_network_generation(log, ad, nw_gen, voice_or_data): """Checks if a droid in expected network generation ("2g", "3g" or "4g"). Args: log: log object. ad: android device. nw_gen: expected generation "4g", "3g", "2g". voice_or_data: check voice network generation or...
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def _getMatricesFromDft2Outfile(outPath): """ Parses all hamiltonian and overlap matrices from a dft2 file Args: outPath: Full path to the output file Returns allMatrices: types.SimpleNamespace with two fields, hamil and overlap. Both are lists of square numpy arrays (dtype=complex). The ind...
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import hashlib def verifySignatureFromBytes(data, publicKey, signature): """ Verify signature. Arguments: data (bytes) -- data in bytes publicKey (str) -- a public key as hex string signature (str) -- a signature as hex string Return bool """ if len(publicKey) == 66: publicKey = uncompressEcdsaPublicKey(...
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import re def load_setting_api_access_token(logger, config_settings): """ Attempt to parse API token from config settings :param logger: the logger :param config_settings: config settings loaded from config file :return: API token if valid, else None """ try: ...
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def limit_posts(posts, limit=POST_LIMIT): """Restrict posts to the <limit> most recent.""" return posts.order_by(desc(Post.published_datetime)).limit(limit).from_self()
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def command(login_required=True): """a decorator for handling authentication and exceptions""" def decorate(f): def wrapper(self, args): if login_required and self.api_client is None: self.stdout.write("Please 'login' to execute this command\n") return ...
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def do(ModeName, CaMap, IndentationSetup, IncidenceDb, ReloadState, dial_db): """________________________________________________________________________ Counting whitespace at the beginning of a line. .-----<----+----------<--------------+--<----. | | count ...
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from stat import S_ISDIR def list_remote_files(con, directory): """ List the files and folders in a remote directory using an active SFTPClient from Paramiko :param con: SFTPClient, an active connection to an SFTP server :param directory: string, the directory to search :return: (generator, generator), the files...
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def potential_aneurysm(data, box_size=64, accuracy=0.005, neighbours=False, pix_close=10): """ Goes through the given image and returns a list of possible aneurysms Parameters ---------- data : numpy.ndarray Data array of the MRA image of interest box_size : int Size of one s...
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def debug_build(enabled: bool): """Decorator logs Layer.build() input shape. `@debug_build(DEBUG)`""" @wrapt.decorator(enabled=enabled) def wrapper(wrapped, instance, args, kwargs): print('{} build() (in {}) input_shape {}'.format( instance.__class__.__name__, instance.__class__.__module__, *args)...
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def execute_script(script, *args): """Execute JavaScript in the currently selected frame or window. Within the script, use `document` to refer to the current document. For example:: execute_script('document.title = "New Title"') :argument script: The script to execute. :argument args: A ...
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def det_curve(y_true, scores, distances=False): """DET curve Parameters ---------- y_true : (n_samples, ) array-like Boolean reference. scores : (n_samples, ) array-like Predicted score. distances : boolean, optional When True, indicate that `scores` are actually `distan...
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def _get_nary_broadcast_shape(*shapes): """ Broadcast any number of shapes to a result shape. Parameters ---------- shapes : tuple[tuple[int]] The shapes to broadcast. Returns ------- tuple[int] The output shape. Raises ------ ValueError If the inpu...
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def html_to_dot_sequential_name( root: lxml.html.HtmlElement, graph_name: str, with_text: bool = False ) -> graphviz.Digraph: """ The names of the nodes are defined by `{tag}-{seq - 1}`, where: tag: the html tag of the node seq: the sequential order of that tag ex: if it is the 2...
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import six def get_exception_for_sqlstate(code): """Translate the sqlstate to a relevant exception. See for a list of possible errors: http://www.postgresql.org/docs/current/static/errcodes-appendix.html """ if isinstance(code, six.binary_type): code = bytes_to_ascii(code) if code[0]...
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def action_from_policy(policy, deterministic=False): """ Samples an action from a given policy using numpy. """ if not deterministic: return np.random.choice(range(len(policy)), p=policy) else: argmaxes = np.argwhere(policy == np.max(policy)).reshape(-1) return choice(argmaxe...
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def error_rate(predictions, imgs): """Return the error rate based on dense predictions and sparse labels.""" return 0.5 * ((predictions - imgs)**2).mean()
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def setup_configs(args): """ args: ::dataset_name ::resolution """ ic(args) config = Munch( dataset_name=args.dataset_name, y_col="family", threshold=0, resolution="original" ) target_config = Munch( dataset_name=args.dataset_name, resolution=args.resolutio...
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def fmap(func, obj): """fmap(func, obj) creates a copy of obj with func applied to its contents. Override by defining obj.__fmap__(func). For numpy arrays, uses np.vectorize. """ obj_fmap = _coconut.getattr(obj, "__fmap__", None) if obj_fmap is not None: try: result = obj_fmap(f...
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def last_month(date): """get the name of month""" date = str(date) date = date[:4] + '-' + date[4:] date0 = arrow.get(date) lastmon = date0.shift(months=-1) lastmon = lastmon.format('YYYYMM') return lastmon
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def camera_to_sky(pos_x, pos_y, focal, pointing_alt, pointing_az): """ Parameters ---------- pos_x: X coordinate in camera (distance) pos_y: Y coordinate in camera (distance) focal: telescope focal (distance) pointing_alt: pointing altitude in angle unit pointing_az: pointing altitude i...
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import dataclasses def static_field(*args, **kwargs): """Substitute for dataclasses.field, which also marks a field as static.""" kwargs["metadata"] = kwargs.get("metadata", {}) kwargs["metadata"][FIELD_METADATA_STATIC_MARKER] = True return dataclasses.field(*args, **kwargs)
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def _standardize_overhangs_pair(overhangs): """Standardize a pair of overhangs (o1, o2). Returns either ``(o1, o2)`` or its reverse complement ``(rev_o2, rev_o1)``, whichever is smaller in alphabetical order. """ o1, o2 = overhangs ro1, ro2 = [reverse_complement(o) for o in (o1, o2)] return...
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import json def unjsonb(bytes): """bytes -> list""" return [json.loads(s.decode("utf-8")) for s in bytes.splitlines()]
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from datetime import datetime def get_nixtime_from_msec(msec): """ Convert unix epoch time in microseconds to a date string """ seconds, msec= divmod(msec, 1000000) days, seconds = divmod(seconds, 86400) if days > 20000 or days < 9000: days = 0 seconds = 0 msec = 0 return d...
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import os import glob def explode_fasta(fasta, log): """split input fasta into individuals""" in_file = False outdir = "fastas" if not os.path.exists(outdir): os.mkdir(outdir) with open(fasta, 'r') as infile: for line in infile: if line.startswith(">"): ...
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