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from datadog.util.compat import is_p3k from tests.unit.api.helper import ( DatadogAPIWithInitialization,
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#[balthazar::main] async fn main() -> Result<()> { let _ = Config::<AppConfig>::init("basic_example").await?; Ok(()) }
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# -*- coding:utf-8 -*- from __future__ import division, print_function from future_builtins import * import os import sys import argparse import ConfigParser import pyotp sys.path.append(os.path.join(os.path.abspath( os.path.dirname(__file__)), 'vendor')) INI_FILE_PATH = "~/.pymfa/config" INI_FILE = (os.path.expanduser(INI_FILE_PATH))
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names_or_ids = [names_or_ids] if names_or_ids == [None] or not names_or_ids:
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from .views import token_bp
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estado = models.CharField(max_length=50) pais = models.CharField(max_length=70)
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import mock m = mock.MagicMock() m.get('companies').not_local.return_value = [] companies = m.get('companies') self.assertEqual(companies.not_local(), []) def test_sub_mocks(self):
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result_file.close() print(result_data)
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super().__init__() self.__event_loop = asyncio.get_event_loop() self.__log = log.with_name("Framework", "Kernel") self.__database_manager = database_manager self.__environment = environment self.__integrations = integrations self.__lifecycle_manager = lifecycle_manager def run(self): self.__log.info(f"Starting application... {{ Version = {self.__environment.version} }}") self.__event_loop.run_until_complete(self.__database_manager.upgrade_all()) self.__event_loop.run_until_complete(self.__lifecycle_manager.start_all()) self.__log.debug(f"Starting integrations... {{ Count = {len(self.__integrations)} }}")
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), migrations.AlterField( model_name='genericmetaprop', name='namespace', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='rdf_io.Namespace', verbose_name='namespace'), ), migrations.AlterField( model_name='genericmetaprop', name='propname', field=models.CharField(blank=True, max_length=250, verbose_name='name'), ), migrations.AlterField( model_name='namespace', name='prefix',
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@Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); mVideoCursorAdapter.setMapper(new VideoCursorMapper()); setAdapter(mVideoCursorAdapter); setTitle(getString(R.string.vertical_grid_title)); if (savedInstanceState == null) { prepareEntranceTransition(); } setupFragment(); }
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borfiles.sort() for key in borfiles: print key def get_file(pak, borfile): '''Prevents a need to directly use PackFileReader when you only want to get one file, like in borplay and bor2wav. Returns a file-like object.'''
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url="localhost", port=27017): super(SimplexScalarOffsetSolver, self).__init__(dbname, cname, url, port) def multi_start(self, couplings, nTrials, logPath, initSigma=6e-10, restartSigma=1e-11, mp=True, cython=True, log_xtol=-6., log_ftol=-5.): """Start processing using the Multi-Start Reconverging algorithm. Parameters ---------- nTrials : int
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/* Connect to the MySQL test database */ m_connection->setSchema(db); return 0; } /// <summary> /// Returns the connection. /// </summary> /// <returns></returns> std::shared_ptr<sql::Connection> MysqlConnection::getConnection()
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let segwitAddress = try doWithError { error in LibwalletCreateAddressV4(derivedKey.key, derivedMuunKey.key, error)
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for idx in range(0, 10): example_dict[idx] = idx for key, value in example_dict.items(): formmating = f'key is {key}, value is {value}' print(formmating)
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using Analytics; using Azure; using DataLake; using Management; using Azure; using Management; using DataLake; using Analytics; using Newtonsoft.Json; using System.Collections;
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def test_main(): assert django_pony_apple # use your library here
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self._wrapped_model = sklearn.neighbors.KNeighborsClassifier( **self._hyperparams) def predict(self, X):
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starttime=float(currenttime) starttime=round(starttime, 2) f = open( filename, 'a' ) f.write("{} {}".format(0,sig_str)+'\n') else: elapsedtime=float(currenttime)-float(starttime)
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if type(y) != np.ndarray: raise Exception("y should be numpy array") predictions = [] for i, labels in enumerate(y): index = np.where(labels == 1)[0] if len(index) == 1: # was labeled before predictions.append(index[0]) else: # use label with highest score
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): STM<R, E, Either<B, A>> { return self.foldSTM( (either) => either.fold((b) => STM.succeedNow(Either.left(b)), STM.failNow), (a) => STM.succeedNow(Either.right(a)) ) }
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center_name = project.center_name else: center_name = api_study.get("center_name") defaults = { "centre_name": center_name, "is_public": is_public, "study_abstract": utils.sanitise_string(api_study.get("description")), "study_name": utils.sanitise_string(api_study.get("study_title")), "study_status": "FINISHED", "data_origination": data_origination, # README: We want to draw attention to updated studies,
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n_pc = (1 - self.c_c) * self._pc + h_t * self.l_m / self._sigma_t * base_deta #update cov n_cov = (1 - self.c_cov) * self._cov + self.c_cov / self.l_e * self._pc * self._pc \ + self.c_cov * (1 - 1/self.l_e) / self._sigma_t / self._sigma_t * deta_base_sq self._base_weights = new_base self._evolution_pool.clear() self._cov = numpy.clip(n_cov, self.min_cov, 1.0) self._sigma_t = numpy.clip(n_sigma_t, self.min_step_size, self.max_step_size)
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# TODO: Integrate Tom's script for dependency graphing OO # TODO: Common Sql Functions added to the SQL paramter # TODO: Common html Functions added to the html paramter # TODO: Manifest # TODO: contants # TODO: locale # TODO: slots / performance optimizaiton # TODO: Interactive CLI # TODO: Update LKML to support new filters syntax # TODO: additional documentation # Finish Documenting every funtion for the autodocs
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const getUrlDockerTutorial: TFunc = async () =>
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print('END') print('*' * 40, '\n:Enquanto não for digitado ZERO(0), conte quantos números são pares e ímpares, e informe no final.') n = 1 par = impar = 0 while n != 0: n = int(input('Digite um valor: ')) if n != 0: if n % 2 == 0: par += 1 else:
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byte[] array = new byte[enBytes.Length];
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param = { 'port' : '/dev/ttyUSB0', 'baudrate' : 115200, 'step_per_rev' : 4000, } dev = RockaflyGrbl(param) print('pos: {}'.format(dev.position))
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index2label_map[i] = label print("index2label_map:", index2label_map) real_label_dict = get_real_label(real_file)
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SERVER_IP=$(cat vm.config.yaml | grep " server" | cut -d " " -f 4) rm -rf kube.config vagrant ssh k3os-server -c "cat /etc/rancher/k3s/k3s.yaml | sed -e 's/127.0.0.1/${SERVER_IP}/g'" | tail -n 19 > kube.config
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'order_rate_over_time' ]
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def rotate(num): s = str(num) l = len(s) rot = set() for i in range (l): s = s[1:] + s[0] if num > 9 and int(s[-1]) in [2, 4, 5, 6, 8, 0]:
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local_template_path = filename
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pub const MIME_TYPE_JP2: &str = "image/jp2"; pub const MIME_TYPE_URI: &str = "text/x-uri"; pub const MIME_TYPE_UNIQUE_ID: &str = "application/x-cairo.uuid"; pub const MIME_TYPE_JBIG2: &str = "application/x-cairo.jbig2"; pub const MIME_TYPE_JBIG2_GLOBAL: &str = "application/x-cairo.jbig2-global"; pub const MIME_TYPE_JBIG2_GLOBAL_ID: &str = "application/x-cairo.jbig2-global-id"; pub const MIME_TYPE_CCITT_FAX: &str = "image/g3fax"; pub const MIME_TYPE_CCITT_FAX_PARAMS: &str = "application/x-cairo.ccitt.params"; pub const MIME_TYPE_EPS: &str = "application/postscript"; pub const MIME_TYPE_EPS_PARAMS: &str = "application/x-cairo.eps.params";
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import setuptools __name__ == "__main__" and setuptools.setup( use_scm_version=True, setup_requires=["setuptools-scm"] )
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# ================== # ThingSpeak example # ================== import network def datacb(msg): print("[{}] Data arrived from topic: {}, Message:\n".format(msg[0], msg[1]), msg[2]) thing = network.mqtt("thingspeak", "mqtt://mqtt.thingspeak.com", user="anyName", password="<PASSWORD>", cleansession=True, data_cb=datacb) # or secure connection #thing = network.mqtt("thingspeak", "mqtts://mqtt.thingspeak.com", user="anyName", password="<PASSWORD>", cleansession=True, data_cb=datacb)
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if socks.get(backend) == zmq.POLLIN: message = backend.recv_multipart() frontend.send_multipart(message)
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else { if (post_) os << *expr_ << *op_; else os << *op_ << *expr_; } }
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def import_account(filename, ynab): # Skipping first lines with unneeded information with open(filename, newline="", encoding="ISO-8859-15") as f: bank_file = f.readlines()[12:] for record in csv.DictReader(bank_file, dialect=Dialect): # Skipping last lines "Anfangssaldo" and "Endsaldo" if (
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protected override void OnStopPattern()
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func targetsBrowser(_ targetsBrowser: RecipeCastingTargetsBrowser, updated suggestedTarget: RecipeCastingTarget?) { DispatchQueue.main.async { self.updateSuggestedDeviceButton() } } func targetsBrowser(_ targetsBrowser: RecipeCastingTargetsBrowser, found targets: [RecipeCastingTarget]) { //nothing to do } }
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return True return False # Convert to 3D track def to3D(self, current_time:float): first = min(self.history.keys()) dt = current_time - self.times[first] assert dt > 0 xf, yf, wf, hf = self.history[first][0:4] xn, yn, wn, hn = self.filter.x[0:4] aabb_first = to_aabb(xf, yf, wf, hf) aabb_now = to_aabb(xn, yn, wn, hn)
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# Circularly shift the OTF so that PSF center is at (0,0) #shift = -(psfSize / 2) #psf = circshift(psf, shift)
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#!/bin/bash function usage(){ echo "usage: ${0##*/} [+-u uid] [+-g gid] [+-d home] [+-c cmd] [+-h} [--] <username> <groupname>" }
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from pyutilx.utils import *
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export { default as FilledQueryBuilder } from './Icon';
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this.serviceSalvar.mudarAviso(true); this.cadastro.atendido = this.nome.toUpperCase(); this.cadastro.numero = this.cadastro.numero.split('/').join('').split('.').join('').split('-').join(''); this.salvarservice.salvarCadastro(this.cadastro).subscribe(data => { this.serviceSalvar.mudarAviso(true); this.serviceSalvar.currentMessage.subscribe(msg => { console.log(msg); }); this.openSnackBarSalvar(); this.cadastroservice.getCadastro(this.cadastro); this.reset();
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cri: name: containerd maximum: 1 minimum: 1 maxSurge: 1 maxUnavailable: 0 EOF ) \ -shoot-template-path=<(cat <<EOF
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f.write('\n'.join(lines) + '\n') return checksum_file if __name__ == '__main__':
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{ float sin, cos; Math::GetSinCos(sin, cos, Rotation);
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StreetNumber = WordMother.Random(),
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// // Created by hferrone on 10/24/2017. // Copyright (c) 2017 hferrone. All rights reserved. // import UIKit @UIApplicationMain class AppDelegate: UIResponder, UIApplicationDelegate { var window: UIWindow? func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool { // Override point for customization after application launch.
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readonly float weight; int vertexCount; public SuperSampler(Game game, int sx, int sy) { // Compute the alpha weight of the textures weight = 1f / (sx * sy); // Load the effect supersamplingEffect = game.Content.Load<Effect>("Supersampling");
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alias ${i}="${lazy_func} ${i}" done eval " function ${lazy_func}() { unset -f ${lazy_func} lazy_load_clean $@ eval ${load_func} unset -f ${load_func}
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elif absoluteDistX > absoluteDistY and distX != 0: return Point(distX // absoluteDistX, 0) else: print("[MapHelper.getMoveTowards] You are already at the given position.") return Point(0, 0)
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name="VCF Handler API", )
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y_positions,y_daily,likelihoods,nu,eta) elif move_type == "shift": accept, tau[i,c], ell[i,c], y_positions, likelihoods = cps_circle.propose_shift_changepoint(tau[i-1,c],\ y_positions,y_daily,likelihoods,nu,eta) ## Allocation to the bins Nz = len(y_daily) if Nz == 0: Nj = np.repeat(0,ell[i,c]) else: y_positions = np.searchsorted(y_daily,tau[i,c]) Nj = np.insert(np.diff(y_positions),0,y_positions[0]+Nz-y_positions[ell[i,c]-1]) bin_pos = np.searchsorted(tau[i,c],y) bin_pos[bin_pos==len(tau[i,c])] = 0 ## Evaluate the segment means if i > burnin:
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import javax.servlet.http.HttpServletRequest; public interface CsrfDetectionFilter extends Filter { boolean hasCsrf(HttpServletRequest request); }
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TEditMetadata *EditMetadata; //--------------------------------------------------------------------------- __fastcall TEditMetadata::TEditMetadata(TComponent* Owner) : TForm(Owner) { } //---------------------------------------------------------------------------
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/// pub trait Pass { /// fn needed_features() -> wgpu::Features {
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self.right = None
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declare namespace JSX { interface IntrinsicAttributes { [event: string]: any } }
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ex = ex.InnerException; } return ex; } } }
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from django.urls import include, path # Django REST Framework from rest_framework.routers import DefaultRouter # Views from .views import tasks as task_views router = DefaultRouter() router.register(r'tasks', task_views.TaskViewSet, basename='task') urlpatterns = [
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#SBATCH -o 2018-06-29-nyc-metaphlan.out #SBATCH -e 2018-06-29-nyc-metaphlan.err #SBATCH --mail-type=END #SBATCH --mail-user=<EMAIL> #SBATCH --constraint="scratch2" #SBATCH --array=0-1381 module load gcc/6.2.0 module load bowtie2/2.2.9
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]) def test_coverage_thresholds(local_models, should_succeed, expected_message, **kwargs): mock_get_models_requiring_annotations = kwargs['get_models_requiring_annotations'] mock_get_models_requiring_annotations.return_value = ( set(local_models), set(), len(local_models), [DjangoSearch.get_model_id(m) for m in local_models] ) result = call_script_isolated( ['django_find_annotations', '--config_file', 'test_config.yml', '--coverage', '-vvv'], ) assert result.exit_code == EXIT_CODE_SUCCESS if should_succeed else EXIT_CODE_FAILURE
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message.AppendParameter(4, true); message.AppendParameter(AllowUppercut ? ((int)PriceUppercut) : -1, true); message.AppendParameter(AllowUppercut, false); message.AppendParameter(5, true); message.AppendParameter(AllowCoconut ? ((int)PriceCoconut) : -1, true); message.AppendParameter(AllowCoconut, false); return message;
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Self::UnexpectedToken(unexpected, None, msg) if msg.is_empty() => write!( f, "Error: Unexpected token \"{}\" at {}", unexpected.lexeme, unexpected.pos ), Self::UnexpectedToken(token, _, msg) => { write!(f, "Error \"{}\": {} at {}", token.lexeme, msg, token.pos)
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import pdb SIGNING_SECRET_SECRET=b'abc123' #SIGNING_SECRET_SECRET = b'<KEY> #dont get excited, its from the docs BODY = '{"start": "2021-07-25T10:00:00", "end": "2021-07-25T11:00:00"}'.encode() TIMESTAMP = '2021-07-25T10:00:00Z'.encode() SIGNATURE = 'tRDSF7URY8BLCDlaBcQ7FHu051Zk+aAB0NKMP53teMw='.encode() def getdigest(secret=SIGNING_SECRET_SECRET, body=BODY, timestamp=TIMESTAMP):
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set -q message[1] and set message -m $message git add .;git commit $message;git push; end funcsave lazygit
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})?;
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attribute.Example.Should().Be(example); } }
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.get("/engagements/categories/suggest") .then() .statusCode(200) .body("size()", equalTo(3)) .body("[0]", equalTo("autosuggest"));
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{ return JavascriptSIMDUint8x16::New(&value, requestContext); } const char16* JavascriptSIMDUint8x16::GetFullBuiltinName(char16** aBuffer, const char16* name) { Assert(aBuffer && *aBuffer); swprintf_s(*aBuffer, SIMD_STRING_BUFFER_MAX, _u("SIMD.Uint8x16.%s"), name); return *aBuffer; } Var JavascriptSIMDUint8x16::Copy(ScriptContext* requestContext) { return JavascriptSIMDUint8x16::New(&this->value, requestContext); }
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def initialize(self): # check communication. output = utils.__execute__(command=["ssh-add", "-l"]) #print("DEBUG; initialize output ssh-add -l:",output) if "Failed to communicate" in output or "Error connecting to agent" in output: if not self.delete()["success"]:
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<filename>src/components/features/Extensible.tsx import React, { FC } from "react"; import Feature, { FeatureProps } from "./Feature"; import { FontAwesomeIcon } from "@fortawesome/react-fontawesome"; import TextColumn from "./TextColumn"; import ImageColumn from "./ImageColumn";
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./send_command.py characters "c" 0 ./send_command.py movecursor 20 0 ./send_command.py characters "d" 0 ./send_command.py return 50
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Y=Y_nondominated, menu_size=effective_menu_size, ) elif algo == "EI-UU":
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echo "output dir: $1"; for i in $1/*.nii*; do nii2mnc -short $i `echo $i | cut -d "." -f1`.mnc; done #for i in $1/*.nii*; do echo `echo $i | cut -d "." -f1`.mnc; done
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assert(rhs_dim == 1 || rhs_dim == lhs_dim); result_shape.dim(i) = lhs_dim; } } return result_shape; }
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def my_smooth(x, N): arrays = []
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# # Run each of the binaries with default NPROMA and validate exit codes # for target in $(ls bin) do # Skip some targets if [[ " ${skipped_targets[*]} " =~ " $target " ]] then continue fi if [[ "$mpi_flag" == "--with-mpi" && ! " ${non_mpi_targets[*]} " =~ " $target " ]]
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fn build_data(self) -> Self::Builder { self } }
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true, false, 0.187182, "dakjdh98389\000", null, (object)array(1,2,3), ); error_reporting(0); foreach ($datas as $data) {
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n = TreeCanvasNode("test",c) n.setColor(Qt.red)
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checkVlan(vlanId1); checkVlan(vlanId2); EXPECT_NE(vlanId1, vlanId2); VlanApiParameters::MemberAttributes::VlanId vlanIdAttribute{vlanId2}; VlanApiParameters::MemberAttributes::BridgePortId bridgePortIdAttribute{0}; auto vlanMemberId = vlanApi->createMember({vlanIdAttribute, bridgePortIdAttribute}, 0); checkVlanMember(vlanId2, vlanMemberId);
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package com.wildbeeslabs.sensiblemetrics.diffy.validator.digits.impl; import com.wildbeeslabs.sensiblemetrics.diffy.processor.digits.impl.ISBN10DigitProcessor; import com.wildbeeslabs.sensiblemetrics.diffy.validator.digits.iface.DigitValidator; import lombok.Data; import lombok.EqualsAndHashCode; import lombok.ToString; /** * Modulus 11 <b>ISBN-10</b> Check Digit calculation/validation. * <p> * ISBN-10 Numbers are a numeric code except for the last (check) digit
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outputDto = ((IndexConfigMessage.IndexConfigDto.Output) outputDto).toBuilder(); }
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assert len(props) == 2
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from ..utils import SiteManager class StatusCommand(Command): """ Retrieve the work order status """ def setup(self, subparsers): parser = super(StatusCommand, self).setup(subparsers) parser.add_argument('-u', "--api_url", required=True, type=str, help="url of your Customer api") parser.add_argument('-i', '--work_order_id', required=True, type=str, help="Work order id") return parser def run(self, api_url, work_order_id, **kwargs):
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underlyingTemp = Contract.from_abi("underlyingTemp", l[1], TestToken.abi) if (l[1] == "0x9f8F72aA9304c8B593d555F12eF6589cC3A579A2"): globals()["MKR"] = underlyingTemp # MRK has some fun symbol() else: globals()[underlyingTemp.symbol()] = underlyingTemp CHI = Contract.from_abi("CHI", "0x0000000000004946c0e9F43F4Dee607b0eF1fA1c", TestToken.abi) STAKING = Contract.from_abi("STAKING", "0xe95Ebce2B02Ee07dEF5Ed6B53289801F7Fc137A4", StakingV1_1.abi) vBZRX = Contract.from_abi("vBZRX", "0xB72B31907C1C95F3650b64b2469e08EdACeE5e8F", BZRXVestingToken.abi) POOL3 = Contract.from_abi("CURVE3CRV", "0x6c3F90f043a72FA612cbac8115EE7e52BDe6E490", TestToken.abi) BPT = Contract.from_abi("BPT", "0xe26A220a341EAca116bDa64cF9D5638A935ae629", TestToken.abi)
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import time from . import adb def clear_notifications(): """Clear all pending notifications.""" adb.run_shell_command(['service', 'call', 'notification', '1']) def unlock_screen(): """Unlocks the screen if it is locked.""" window_dump_output = adb.run_shell_command(['dumpsys', 'window']) if 'mShowingLockscreen=true' not in window_dump_output:
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mask = (query_vector > 1e-8).to(torch.bool) word_occ = (self._dataset.word_count > 0).to(torch.bool)
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excitedPopulation = lambda t: 0.5*np.exp(-(0.00001*(decayRateSM+1)*2+1j)*50*t) populations = {'excitedAnalytical':[], 'excitedNumerical':[]} # this is used as the calculate attribute of the qubit, and the singleQubit fixture evolve method calls this at every # step of the evolution. It stores both numerical and analytical excited state populations into the dictionary above. def singleQubitDecayCalculate(qub, state, i): populations['excitedAnalytical'].append(excitedPopulation(i*qub.stepSize))
ise-uiuc/Magicoder-OSS-Instruct-75K
host = '192.168.4.254' port = 12345 addr = (host, port) c = socket.socket(type=socket.SOCK_DGRAM) c.sendto(b'hello world!\r\n', addr) data = c.recvfrom(1024)[0]
ise-uiuc/Magicoder-OSS-Instruct-75K
let fclone = f.clone(); let sclone = sender.clone();
ise-uiuc/Magicoder-OSS-Instruct-75K
res = sorted(subclass_map.items(), key=operator.itemgetter(1)) return res[-1] @staticmethod def get_subclass(module, base_class): good_results = [] for name in dir(module): obj = getattr(module, name) if name == base_class.__name__: continue try: if issubclass(obj, base_class):
ise-uiuc/Magicoder-OSS-Instruct-75K
namespace Magnum { namespace Trade { namespace Test { namespace { struct StanfordImporterTest: TestSuite::Tester { explicit StanfordImporterTest(); void invalidSignature(); void formatInvalid(); void formatUnsupported(); void formatMissing(); void formatTooLate();
ise-uiuc/Magicoder-OSS-Instruct-75K
"""Compute the equilbrium speed of sound for a gas :param <cantera.composite.Solution> gas: Solution object :return <float> Gas speed of sound w/ an equilibrium composition (m/s)
ise-uiuc/Magicoder-OSS-Instruct-75K