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def f(): with c1: print 'in with statement (1)' with c2: print 'in with statement (2)' with c3: print 'in with statement (3)' with c4:
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self._alpha_electrons = self._total_electrons // 2 + self.get_multiplicity() - 1 return self._alpha_electrons def get_beta_electrons(self): return self._total_electrons - self._alpha_electrons def build_fchk_file(self, name): txt_fchk = file_io.build_fchk(self._EH) open(name + '.fchk', 'w').write(txt_fchk)
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"RRTConnect", False) # sleeping 10 seconds to publish
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globals.harness.pushTestResult(); globals.harness.setResultName(createHierarchalName("Assertion Site Error", error_message));
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The persistent container for the application. This implementation creates and returns a container, having loaded the store for the application to it. This property is optional since there are legitimate error conditions that could cause the creation of the store to fail. */ let container = NSPersistentContainer(name: "ViperIos") container.loadPersistentStores(completionHandler: { (storeDescription, error) in if let error = error as NSError? { // Replace this implementation with code to handle the error appropriately. // fatalError() causes the application to generate a crash log and terminate. You should not use this function in a shipping application, although it may be useful during development. /* Typical reasons for an error here include: * The parent directory does not exist, cannot be created, or disallows writing. * The persistent store is not accessible, due to permissions or data protection when the device is locked.
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@Override public String toString() { return String.format("Offset = %s, Hash = %s, Key = %s", this.offset, this.hash, this.key); } } }
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malertView.centerXAnchor.constraint(equalTo: visibleView.centerXAnchor), malertView.centerYAnchor.constraint(equalTo: visibleView.centerYAnchor), malertView.trailingAnchor.constraint(equalTo: visibleView.trailingAnchor, constant: -malertView.trailingSpace), malertView.leadingAnchor.constraint(equalTo: visibleView.leadingAnchor, constant: malertView.leadingSpace) ]
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</div> <div class="col-md-8"> <h5 id='principalbalance'><b></b></h5>
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@classmethod @deprecated def isoutput(cls): return cls.is_output() @classmethod @deprecated def isinout(cls): return cls.is_inout() @property def debug_name(self): defn_str = ""
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import torch import ttach as tta from albumentations.augmentations.geometric.resize import Resize from sklearn.model_selection import train_test_split from torch.utils.data import DataLoader from tqdm import tqdm import missed_planes.engine as engine import missed_planes.metrics as metrics from missed_planes.dataset import PlanesDataset with open(sys.argv[1], "r") as f: config = json.load(f)
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formatter.dateFormat = "yyyyMMdd'T'HHmmss'Z'" formatter.timeZone = TimeZone(abbreviation: "UTC") formatter.locale = Locale(identifier: "en_US_POSIX") return formatter.string(from: date) }
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else printf("special symbol"); return 0; }
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Optional time, as a datetime. nlinks The number of links. Defaults to 1. size The file size. Defaults to 0. name
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logger.log("Running trained model")
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name = "objdump", path = "/bin/false", ), tool_path( name = "strip",
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# Unsupervised (test) dataset. predicted = _predict(container, test_data) predicted = mms.inverse_transform(predicted) return predicted.ravel()
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public interface IAsyncRunnable { Task Run(); } }
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{ [Reactive] public User CurrentUser { get; set; } [Reactive] public ConnectStatus ConnectStatus { get; set; } [Reactive] public Setting Setting { get; set; }
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input_type=CENTRAL_SERVER.Location) resp, body = update_location_(location) assert resp.status in [200, 201], "%s %s" % (resp.status, resp.reason) return Resource.from_iri(resp['location']) except Exception as e: print(e) return None def add_location(location):
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): """Run the agent.""" skip_consistency_check = click_context.obj.config["skip_consistency_check"] _prepare_environment(click_context, env_file, is_install_deps)
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kubectl scale deployment metal3-baremetal-operator -n metal3 --replicas=0 nohup "${SCRIPTDIR}/hack/run-bmo-loop.sh" >> bmo.out.log 2>>bmo.err.log & fi rm -rf "$kustomize_overlay_path" popd } function launch_kind() { cat <<EOF | sudo su -l -c "kind create cluster --name kind --image=kindest/node:${KUBERNETES_VERSION} --config=- " "$USER" kind: Cluster apiVersion: kind.x-k8s.io/v1alpha4 containerdConfigPatches: - |- [plugins."io.containerd.grpc.v1.cri".registry.mirrors."${REGISTRY}"]
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# The start of a win32gui generic demo. # Feel free to contribute more demos back ;-) import win32gui, win32con, win32api import time, math, random def _MyCallback(hwnd, extra): hwnds, classes = extra hwnds.append(hwnd) classes[win32gui.GetClassName(hwnd)] = 1 def TestEnumWindows(): windows = []
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using Pulumi.Serialization; namespace Pulumi.AwsNative.Pinpoint { /// <summary> /// Resource Type definition for AWS::Pinpoint::Campaign /// </summary>
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""" Assuming col1 and col2 are lists, return set difference between list1 & list2 """ return list(set(df[0]) - set(df[1])) def coverage(df): """ How much of column1 does column2 cover """ s = set(df[0]) num = len(s.intersection(set(df[1]))) den = len(s) if den == 0: return 0 return num / den def main(filepath):
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else: cumulative_negative_tests = None if not math.isnan(row['death']): cumulative_deaths = row['death'] else: cumulative_deaths = None if not math.isnan(row['hospitalizedCumulative']): cumulative_hospitalized = row['hospitalizedCumulative']
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serverSocket.listen(1) hostName = gethostname() ipAddr = gethostbyname(hostName) print("Server ready to receive on " + str(ipAddr) + ":" + str(serverPort) + " ...") while True: connectionSocket, addr = serverSocket.accept() print("Connection established: ", addr) while True: data = connectionSocket.recv(2048).decode() if data == "exit": break print("Step count recieved: ", data)
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<?php echo Customer::where('id',$invoice->customer_id)->first()->name; ?> </td>
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loc_preds = [(_boxes[_kept], angle) for (_boxes, angle), _kept in zip(loc_preds, is_kept)] return crops, loc_preds @staticmethod def _process_predictions( loc_preds: List[Tuple[np.ndarray, float]], word_preds: List[Tuple[str, float]], allow_rotated_boxes: bool = False, ) -> Tuple[List[np.ndarray], List[List[Tuple[str, float]]]]:
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} public static String FUSION_ONTOLOGY_NS = "http://kmi.open.ac.uk/fusion/fusion#"; public static String FUSION_ONTOLOGY_URI = "http://kmi.open.ac.uk/fusion/fusion";
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Some hints: Could negative integers be palindromes? (ie, -1) If you are thinking of converting the integer to string, note the restriction of using extra space. You could also try reversing an integer. However, if you have solved the problem "Reverse Integer", you know that the reversed integer might overflow. How would you handle such case?
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'application/json': {},
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cd .. }
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<reponame>jujinesy/initdjango-machina<filename>machina/templatetags/forum_tracking_tags.py # -*- coding: utf-8 -*-
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// Copyright © 2017年 ljb48229. All rights reserved. // import UIKit
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def open_files(): # current process p = psutil.Process() return p.open_files() class CheckLogger(object): def setup_method(self, _): self.temp_dir = tempfile.mkdtemp() def check_close_logger(self): """Check that calling close_logger properly cleans up resources.""" initial_open_files = open_files()
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setting: Dict, binding: bool, logger: logging.Logger ) -> List: conn_list = [] for conn in setting: conn_list.append( socket_connections.Connection( conn["name"], conn["ip"], conn["port"], logger ) ) if binding == True:
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fides_optimizers, nag_optimizers, nlopt_optimizers, pygmo_optimizers, scipy_optimizers, tao_optimizers, bhhh, neldermead, pounders, ] ALL_ALGORITHMS = {}
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from processes.get_tmdb import Main as get_tmdb from processes.get_itunes import Main as get_itunes from processes.get_amazon import Main as get_amazon from processes.get_trailer import Main as get_trailer from processes.get_youtube import Main as get_youtube from processes.insert_errored import Main as insert_errored from processes.insert_movies import Main as insert_movies from processes.insert_movies import Main as insert_movies from processes.insert_movies2companies import Main as insert_movies2companies from processes.insert_movies2genres import Main as insert_movies2genres from processes.insert_movies2keywords import Main as insert_movies2keywords from processes.insert_movies2numbers import Main as insert_movies2numbers from processes.insert_movies2persons import Main as insert_movies2persons
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/// Note this number is always 10 digits let number: String /// Format to xxx-xxx-xxxx for backend request var formattedNumber: String { var result = number result.insert("-", at: number.index(number.startIndex, offsetBy: 3))
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from ast import literal_eval from fastapi import APIRouter import psycopg2 import psycopg2.extras from dotenv import load_dotenv
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def get_image_by_id(self, image_id): """ Get an image by its id """ for image in self.image_list: if image_id == image.image_id: return image def add_image_to_store(self, image): """ Add a new image to the list of images """ self.image_list.append(image)
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return 0 def play(): l=[] for i in range(5): l.append(Ivan()) if l==[0,0,0,0,1]: return 1 else: return 0
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ArmedState.ARMED_AWAY_IN_ENTRY_DELAY, ]: state = STATE_ALARM_ARMED_AWAY elif arm_state in [ArmedState.ALARM, ArmedState.ALARM_FIRE]: state = STATE_ALARM_TRIGGERED else: state = None return state
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if ('value' in props) { return {
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/** * Get the integer value of this enum value, as defined in the Thrift IDL. */ public int getValue() { return value; } /** * Find a the enum type by its integer value, as defined in the Thrift IDL. * @return null if the value is not found. */ public static TSetAclAction findByValue(int value) { switch (value) {
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*/ public $bufferSize; /** * @var WaitStrategyInterface */ public $waitStrategy; /**
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<reponame>madmis/wexapi<gh_stars>1-10 #!/usr/bin/env python import wexapi attrs = ('high', 'low', 'avg', 'vol', 'vol_cur', 'last', 'buy', 'sell', 'updated') print("Tickers:") connection = wexapi.common.WexConnection() info = wexapi.public.InfoApi(connection) api = wexapi.public.PublicApi(connection) for pair in info.pair_names: ticker = api.get_ticker(pair, info)
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from app.config import API_VERSION, APP_VERSION client = TestClient(app) def test_version(): """Test /version route""" response = client.get(f"/v{API_VERSION}/version") version = response.json() assert response.status_code == 200 assert "api" in version
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from sklearn.linear_model import LinearRegression from sklearn.preprocessing import StandardScaler import numpy as np from ..mlp import MLP class TestMLP(object): def __init__(self): self.X_cl, self.y_cl = make_classification(100) self.X_mcl, self.y_mcl = make_classification( 1000, n_informative=5, n_classes=3) self.X_re, self.y_re = make_regression(100)
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seed = 7 numpy.random.seed(seed) # class_weights = {0: 0.1, 1: 50000.} files = glob('/Users/karanjani/Desktop/csvWithVecs/TrainCSV/*.csv') features = ["GS%d" % d for d in range(4096)] + ['wordCount','chartStart','charEnd'] # Create Model
ise-uiuc/Magicoder-OSS-Instruct-75K
logging.basicConfig( filename=outlog, level=logging.INFO, format="%(asctime)s [ %(levelname)s ] : %(message)s",
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Returns: text (dict): A dictionary where keys are the ids and values are the text ''' results = {} # We'll loop over the ids to fetch the text data # We'll split ids into 1000 because of the limit of the API # Futrue work:
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using System.Collections.Generic; using System.Linq; using System.Web; namespace Time.Epicor.Helpers
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for line in lines: # Ignore errors from CPU instruction set, symbol existing testing, # or compilation error formatting ignored_keywords = [ 'src.c',
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#[derive(Debug, Copy, Clone)] pub enum TransactionId { NoTransaction, StartTransaction,
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public int Id { get; set; } public string Type { get; set; } public int ScopeId { get; set; }
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// Created by CryptoByNight on 06/10/2020. // import SwiftUI struct OnboardingView: View { // MARK: - PROPERTIES var onboarding: [Onboarding] = onboardingData // MARK: - BODY
ise-uiuc/Magicoder-OSS-Instruct-75K
sudo apt-get install -y libappindicator1 fonts-liberation wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb sudo dpkg -i google-chrome*.deb
ise-uiuc/Magicoder-OSS-Instruct-75K
'none': None, 'empty': [], 'numerals': [1, 1, 2, 3, 5, 8, 13, 21], 'strings': ['foo', 'bar', 'zen'], 'cities': ['san fransisco', 'buenos aires', 'bern', 'kinshasa-brazzaville', 'nairobi'] }
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/// - returns: The sum of all positive values this entry (if stacked) contains. @objc open var positiveSum: Double {
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let mut speed = Point::new_random(); speed.x *= 10.0; speed.y = (speed.y * 10.0) - 5.0; entities.add_entity( (&mut positions, &mut speeds, &mut gravities),
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issues = KnownIssue.objects.all() categories = BugCategory.objects.order_by('name') return render(request, 'helper/index.html', {'faqs': faqs, 'issues': issues, 'categories': categories})
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self.send_response(200) self.send_header('Content-type', 'application/json') self.send_header('Access-Control-Allow-Origin', '*') self.end_headers() if self.path != '/favicon.ico': db_dump = [] entities = { 'MAGA' : 1, 'MCD' : 2, 'MINDEF' : 3, 'MINEDUC' : 4, 'MEM' : 5, 'MINFIN' : 6, 'MINEX' : 7, 'MSPAS' : 8,
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++viter; ++iter; } if ( diff ) { std::cerr << "VectorImage output does not match covariant!" << std::endl; return EXIT_FAILURE;
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) ''',
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$capacityreports = array("hadoop_dfs_space_report", "hadoop_map_capacity_report", "hadoop_reduce_capacity_report"); $capacity_graphs = array(); foreach ($capacityreports as $thisgraph) { $capacity_graphs[] = array( 'type' => 'ganglia', 'is_report' => true, 'metric' => array('source' => $gangliacluster_nn, 'node' => $hadoopnn, 'datum' => $thisgraph) ); } $graphs = array( 'Cluster Hardware Overview' => $ganglia_graphs, 'Running Now' => $running_graphs,
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measurement : {'poles', 'lines', 'rakes', 'radians'}, optional
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.await; }; }
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{ PLDR_MODULE TempModule = (PLDR_MODULE)((DWORD)TempEntry - 0 * sizeof(LIST_ENTRY)); if (TempModule->BaseAddress == hInstance) { TempEntry->Blink->Flink = TempEntry->Flink; TempEntry->Flink->Blink = TempEntry->Blink; break; } }
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RABBITMQSERVER = os.getenv('RABBITMQSERVER', '192.168.1.138') FILES_CSV = os.path.join(TARGET, "files.csv") FACES_CSV = os.path.join(TARGET, "faces.csv") PLATES_CSV = os.path.join(TARGET, "plates.csv") FILES_PARQUET = os.path.join(TARGET, "files.parquet") FACES_PARQUET = os.path.join(TARGET, "faces.parquet") PLATES_PARQUET = os.path.join(TARGET, "plates.parquet")
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var scrollDirection = GBHomepageComponentScrollDirection.fix //排序方式 var flowDirection = GBHomepageComponentCellFlowDirection.horizontal //component 宽度 对于 750px 宽度屏幕 var contentSizeWidthTo750pxWidth:Double = 750 //component 高度 对于 750px 宽度屏幕 var contentSizeHeightTo750pxWidth:Double = 50 //成员 var cells = [GBHomepageCell]()
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'status' => 'success' ); }else{ $response = array(
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input_mask = tf.cast(true_features_dict['input_mask'], tf.int32) input_mask *= tf.cast(1 - none_replace_mask, tf.int32) # cls, unk, sep are not considered as replace or original true_logits = true_model_dict['logits'] fake_logits = fake_model_dict['logits']
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if asc>=65 or asc<=90: asc=asc-cle resultat=resultat+chr(asc) print (resultat)
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opacity: 1; } `; export const PopOverStyled = styled.div<Props>` background: ${({ theme }) => theme.content.background}; min-width: 10rem; min-height: 2rem; max-width: 40rem; border-radius: 0.25rem; animation: ${fadeIn} 150ms ease-in-out; ${(p) => p.theme.name === 'dark' ? css`
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phoneNumber: string; content: string; }
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from cs50 import get_string s = get_string("Before: ") print("After: ", end="")
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resources=self.resources, pre=self.pre, text_field=self.text_field, doc_field=self.doc_field, language=self.language, disable=self.disable, memoize=self.memoize, gpu=self.gpu, ) class nlp_labeling_function(base_nlp_labeling_function): """Decorator to define an NLPLabelingFunction object from a function.
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""" #mycursor.execute("SELECT * FROM alunos") #mycursor.execute("SELECT name FROM alunos WHERE turma = 'BCW23' ")
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use app\models\Emploi; use app\models\Employe; use Yii; use yii\console\Controller; use yii\console\ExitCode; class EmployeController extends Controller
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b"144ED325886905B07A82F76B5D434A9805D431E3D0C1306DF6D6E1C27BD7CB95", b"D57AF1DCF3B5429193319D240AA263567A86F9993AD0801AFDC1709C8FE91907", b"1CD9CB1BFD39F51C0EDDF166D3C1097D2D7FEDB2B9D2CD92E2E8FE029E05EB0A", b"AD20CAC4B4EF7E3BD0F29A057538DBBB5CF4CD8B4EDEEFFFB1BC847CD61BFC36", b"4CDC3C04D7F214CC373D5E67E7EB9EBDC8BEF491D5273E03CFB55D09A3D40320", ] def test_export_c(): print() for l in expected_leafs_zeroseed: print("{", end='') for idx in range(0, len(l) - 2, 2): print("0x{}".format(l[idx:idx + 2].decode('ascii')), end='') print(',', end='')
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assert context.cur_element['input'].owns, "Did not present overlay" @then(u'the previous dropdown component resolves') def check_resolve_dropdown1(context): print("Cur dropdown %s" % context.cur_element['input'].owns) print("Cur overlays %s" % context.cur_overlays.is_displayed()) raise AssertionError
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def update(self, args): """ Update ImageNet-1K dataset metainfo after user customizing. Parameters: ---------- args : ArgumentParser Main script arguments. """ super(CocoDetMetaInfo, self).update(args) self.input_image_size = args.input_size
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@objc func actionCleanup() { firebase?.removeAllObservers() firebase = nil } // MARK: - Notification methods //--------------------------------------------------------------------------------------------------------------------------------------------- @objc func refreshUserInterface() { if (refreshUIBlockeds) { NotificationCenter.post(notification: NOTIFICATION_REFRESH_BLOCKEDS) refreshUIBlockeds = false } }
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'DeviceInfo_Make', 'DeviceInfo_OsBuild', 'DeviceInfo_OsVersion', 'DeviceInfo_Model',
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* * This code is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License * version 2 for more details (a copy is included in the LICENSE file that * accompanied this code). * * You should have received a copy of the GNU General Public License version * 2 along with this work; if not, write to the Free Software Foundation, * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. * * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA * or visit www.oracle.com if you need additional information or have any
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): """ Add a list of files to the FileManager. Does not emit any signals """ files_by_widget = session_id, widget_id with self._files_lock: file_list = self._files_by_id.get(files_by_widget, None) if file_list: files = file_list + files self._files_by_id[files_by_widget] = files
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file_size=0 file_number=0 file_content=() regex='# Source: (.*)'
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$("#emailBut").show(); } }) }) </script> </body>
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def test_calender_event(self): # Now I will set recurrence for this event to occur monday and friday of week
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sal_Int32 m_nRow; sal_Bool m_nWasNull; sal_Int32 m_nOpenMode; sal_Bool m_bRowCountFinal; typedef std::vector< com::sun::star::uno::Reference< com::sun::star::ucb::XContentIdentifier > > IdentSet; typedef std::vector< com::sun::star::uno::Reference< com::sun::star::sdbc::XRow > > ItemSet;
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internal init(_ target: AnyObject?, tag: Int) { super.init(frame: CGRect.zero) self.tag = tag self.addTarget(target, action: #selector(MagiTabBar.selectAction(_:)), for: .touchUpInside) self.addTarget(target,
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from lusidtools.jupyter_tools.hide_code_button import toggle_code
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const deltaTimeWeight: number = (this._userTimeSeconds - this._lastTimeSeconds) * FrameRate; this._lastTimeSeconds = this._userTimeSeconds; // 最高速度になるまでの時間を const timeToMaxSpeed = 0.15; const frameToMaxSpeed: number = timeToMaxSpeed * FrameRate; // sec * frame/sec const maxA: number = (deltaTimeWeight * maxV) / frameToMaxSpeed; // 1frameあたりの加速度 // 目指す向きは、(dx, dy)方向のベクトルとなる const dx: number = this._faceTargetX - this._faceX; const dy: number = this._faceTargetY - this._faceY;
ise-uiuc/Magicoder-OSS-Instruct-75K
extension HistoryViewController: JTAppleCalendarViewDelegate { func calendar(_ calendar: JTAppleCalendarView, willDisplay cell: JTAppleCell, forItemAt date: Date, cellState: CellState, indexPath: IndexPath) { }
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var rows: RowsProvider<RowModel> { get } } class ViewController: UIViewController { @IBOutlet weak var placeholder: PlaceholderView! var tableVC: PlaceholderTableVC! var presenter: Presenter = PresenterImplementation() override func viewDidLoad() { super.viewDidLoad()
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}, "urischeme": { "@id": "urischeme", "aliases": ["urischeme", "u"], "required": False, "default": "RFC5147String", "options": "RFC5147String" }, } def parse_params(indict, spec=NIF_PARAMS): logger.debug("Parsing: {}\n{}".format(indict, spec)) outdict = indict.copy()
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from input_filtered import int_input
ise-uiuc/Magicoder-OSS-Instruct-75K
PageOrientation PrintSchema implementation. This implements the features, options and enumerations that describe the PrintSchema PageOrientation feature. --*/ #include "precomp.h" #include "porientschema.h" LPCWSTR XDPrintSchema::PageOrientation::ORIENTATION_FEATURE = L"PageOrientation";
ise-uiuc/Magicoder-OSS-Instruct-75K
# --svm_predict # CUDA_VISIBLE_DEVICES=1 \ # python hyper_pixelNN.py \ # --fst_preprocessing \ # --st_type tang \ # --dataset KSC \
ise-uiuc/Magicoder-OSS-Instruct-75K