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</> ) } export default Header
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] }, "time": 1453348072.861 } ''' def getOutSpeed(self, host, data): beforeData = self.before.get(host) nowTime = data["time"] nowData = {} self.before[host] = data if beforeData is not None: beforeTime = beforeData["time"] beforeData = beforeData["data"] for beforeKey in beforeData:
ise-uiuc/Magicoder-OSS-Instruct-75K
// Solution: - // In this case it is not possible to construct a distinct answer always.
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using System.Text; using Newtonsoft.Json; namespace AbpVueCli.Utils { public static class ObjectExtensions { public static string ToJson(this object obj, Formatting formatting = Formatting.None) { return JsonConvert.SerializeObject(obj, formatting); } } }
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print() class HWPScanner: def __init__(self) -> None: self.__platform__ = platform.platform() self.hwpx_flag = False self.ole_parser = OleParser() self.hwp_parser = None pass def parse_hwpdoc(self, file_name): self.file_name = file_name
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*/ public function index() { // select * from users $users = User::all(); // select * from condominiums; $condominiumList = Condominium::all(); return view('condominium.lista', array( 'xptoCollection' => $condominiumList, 'users' => $users )); } public function search(Request $request)
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<div class="table-responsive"> <table id="myTablereg" class=" table table-bordered table-striped table-hover datatable datatable-CrecRegDoc"> <thead> <tr>
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:return: """ j.builders.apps.sonic.install() j.servers.sonic.default.start()
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def get_use_bcp(self): return True def _mock_loop(self): self.mock_server = MockServer(self.clock.loop) self.clock.mock_server("127.0.0.1", 5051, self.mock_server) @asyncio.coroutine def _get_and_decode(self, client) -> Generator[int, None, Tuple[str, dict]]: data = yield from client.send_queue.get() return decode_command_string(data[0:-1].decode()) def _encode_and_send(self, client, cmd, **kwargs): client.recv_queue.append((encode_command_string(cmd, **kwargs) + '\n').encode())
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impl<'a, I: Interrupt> Future for InterruptFuture<'a, I> { type Output = ();
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db.hotels.insert(hotel) print j j+=1
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cell.accessoryType = .disclosureIndicator }
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import pandas as pd
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# TODO(147335651): Support "--gpu" without giving any value. parser.add_argument( "--gpu", type=str, const=_DEFAULT_GPU, nargs="?", dest="gpu", required=False, default=None, help="GPU accelerator to use if any. e.g. nvidia-tesla-k80. For local " "instances, this arg without assigning any value is to enable "
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else: if len(bad) > 0: print('\n'.join(bad)) sys.exit(1)
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<reponame>yuto-moriizumi/Assorted-Sorts<filename>merge.py array = [116, 176382, 94, 325, 3476, 4, 2542, 9, 21, 56, 322, 322] print(array) SENTINEL = 10**12
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struct Metadata { std::string title; std::string version; std::string developer; std::string iconFilepath; std::string entrySceneFilepath; } metadata; struct WindowSettings { uint16_t height; uint16_t width;
ise-uiuc/Magicoder-OSS-Instruct-75K
ctx.pipeline_parallel_size, ctx.tensor_parallel_size ) return A_grad, B_grad, None, None, None, None, None, None, None, None, None, None, None, None, None class Add_Bias_2p5D(torch.autograd.Function): """Matrix add bias: :math:`C = A + b` """ @staticmethod @custom_fwd(cast_inputs=torch.float16)
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println!( "{}: system has too much memory ({:.1}MB), limit is {}MB, ignoring.", dev.name, memtotal_mb, limit, ); Ok(None) } _ => { dev.disksize = (dev.zram_fraction * memtotal_mb) as u64 * 1024 * 1024;
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handlers=handlers ) logging.info("Running dhydamo model generator.") class ProgressLogger: def __init__(self, logger, total, step): self.logger = logger self.total = total self.lastp = -1 self.step = step def set_step(self, i): percentage = int(round(((i+1) / (self.total)) * 100))
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from distutils.core import setup import glob from setuptools import setup def read_md(file_name): try: from pypandoc import convert return convert(file_name, 'rest') except: return '' setup( name='clickmodels',
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namespace ExtenFlow.Messages.Commands { /// <summary> /// Defines an command processor
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class BasicTest(unittest.TestCase): def test_network_interfaces(self): self.assertIsNotNone(helpers.get_network_interfaces()) if __name__ == '__main__': unittest.main()
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/// Training ground for testing the trained network. pub mod training_ground; const BIAS_VALUE: f64 = 1.0; const MINIMUM_POPULATION_SIZE: usize = 4; /// Specimen is used to exchange the neural network data /// with the outside world. /// /// This is the struct you use for transferring the /// neural network instances to and from the `easyneural` crate. #[derive(Clone, Debug, Deserialize)] pub struct Specimen { pub brain: network::NetworkLayout,
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Description = apiDescription?.Description ?? "The API description." }; if(versionDescription?.IsDeprecated == true) { info.Description += "<br/><br/><strong>This API version has been deprecated.</strong>"; }
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# print(face_coordinates[:2]) x,y = rgb_image[:2] print(s_img.shape) x = 221
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use Illuminate\Database\Schema\Blueprint; use Illuminate\Support\Facades\Schema; class CreateVentasTable extends Migration {
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// CHECK: ] // CHECK-LABEL: define hidden void @_TF34witness_table_objc_associated_type32witnessOffsetAfterAssociatedTypeuRxS_1BrFxT_(%swift.opaque* noalias nocapture, %swift.type* %T, i8** %T.B, %swift.type* %T.AA, i8** %T.AA.A) func witnessOffsetAfterAssociatedType<T: B>(x: T) { // CHECK: [[FOO_ADDR:%.*]] = getelementptr inbounds i8*, i8** %T.B, i32 2 // CHECK: [[FOO_OPAQUE:%.*]] = load {{.*}} [[FOO_ADDR]] // CHECK: [[FOO:%.*]] = bitcast {{.*}} [[FOO_OPAQUE]] // CHECK: call void [[FOO]] x.foo()
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app_name = 'accounts' urlpatterns = [ path('', include('django.contrib.auth.urls')),
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dispatch?() } } dispatch?() return disposable } } /// Create a signal that flattens events from the given signals into a single sequence of events. /// /// - Parameter signals: A sequence of signals whose elements should be propageted as own elements.
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{ $result = $result['result']; $user_id = $result['user_context']; } return $user_id; }
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class ServiceRequestHistory(models.Model): service_request = models.ForeignKey(ServiceRequest) contact_name = models.CharField(max_length=64, blank=True, null=True) contact_phone = models.CharField(max_length=16, blank=True, null=True) contact_email = models.CharField(max_length=128, blank=True, null=True, help_text='You can list multiple emails, separated by semicolons.') # operator defaults to business name operator = models.CharField(max_length=64)
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//mod rlpf; pub use filter::{Filter, FilterData, FilterType};
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data.smoking_status = smoking_status(ccda) data.vitals = vitals(ccda) return data
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public void setBillsDueOnOrBefore(long billsDueOnOrBefore) { this.billsDueOnOrBefore = billsDueOnOrBefore; }
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casa2=Casa(interfaz_cristal2(ventana_norte,2),interfaz_cristal2(ventana_este,3.5),interfaz_cristal2(ventana_oeste,2),interfaz_cristal2(pared_sur,2))
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mesh = Mesh.from_ply(compas.get('stanford_dragon.ply')) compas_rhino.mesh_draw(mesh)
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pub use encode::Encode; pub use error::*; pub use frame::Framer;
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from sklearn.dummy import DummyClassifier
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Creates a new trigger for entries when updated. :param table_key: The name of the entry in the SmartDashboard NetworkTable :param default_value: The value the entry will take if it doesn't already exist in the SmartDashboard
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public class TreeNode { public var val: Int public var left: TreeNode? public var right: TreeNode? public init(_ val: Int) { self.val = val
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mVertices[ 2 ].first = ( center + Vec3{ -one, one, -one }); mVertices[ 3 ].first = ( center + Vec3{ one, one, -one }); mVertices[ 4 ].first = ( center + Vec3{ -one, -one, one }); mVertices[ 5 ].first = ( center + Vec3{ one, -one, one }); mVertices[ 6 ].first = ( center + Vec3{ -one, one, one }); mVertices[ 7 ].first = ( center + Vec3{ one, one, one }); projectAllVertices(8); const auto ulz0 = mVertices[0].second; const auto urz0 = mVertices[1].second; const auto llz0 = mVertices[2].second;
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''' Function to find alternate spellings for names. Recursively finds alts of alts. ''' for group in ALT_GROUPS: for unit in group: sub = '(' + '|'.join([ u for u in group if u != unit ]) + ')' alt = re.sub(sub, unit, name) if (alt != name) and (alt in lower_names) and (alt not in checked) and (alt not in alts): alts.append(alt) checked.append(name) if len(alts) == 0: return checked
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using System.Linq; using System.Threading.Tasks; namespace EdVision.WebApi.Model { public partial class Grade { public int Id { get; set; } public int Value { get; set; } public string Comment { get; set; } public virtual Person GradingPerson { get; set; } } }
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for loader in settings.TEMPLATE_LOADERS: loader_instance = find_template_loader(loader) if not loader_instance: continue for basepath in loader_instance.get_template_sources('.'): path = os.path.join(basepath, 'content', 'template') try: templates = os.listdir(path)
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TCP_EVENT.TCP_EVENT_RTO: FLOW_STATES.UPDATE, TCP_EVENT.TCP_EVENT_DONE: FLOW_STATES.FINISHED,
ise-uiuc/Magicoder-OSS-Instruct-75K
#[cfg(target_arch = "wasm32")] { wasm::get_clipboard() } #[cfg(not(target_arch = "wasm32"))] { use copypasta::{ClipboardContext, ClipboardProvider}; let res: Result<String, ()> = (|| { let mut provider = ClipboardContext::new().map_err(|_| ())?; provider.get_contents().map_err(|_| ())
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use Anomaly\Streams\Platform\Entry\EntryCriteria; class ContactCriteria extends EntryCriteria { }
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<article className="flex flex-col items-start justify-center w-full max-w-2xl mx-auto mb-16"> <h1 className="mb-4 text-3xl font-bold tracking-tight md:text-5xl text-white"> {post.title} </h1> <div className="flex flex-col items-start justify-between w-full mt-2 md:flex-row md:items-center"> <div className="flex items-center"> <Image alt="<NAME>" height={24} width={24} src="/avatar.jpeg" className="rounded-full" /> <p className="ml-2 text-sm text-gray-200"> {'<NAME> / '}
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long in_rollback_pos = reader.BaseStream.Position; long out_rollback_len = mOut.Length;
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// Offset: 0x14D9D9C
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random_pet = random.RandomPet("random_pet", prefix="doggo")
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return np.vstack([sort_sentiment(out) for out in result]) def format_output(result: Union[List[AnalyzerOutput], AnalyzerOutput]) -> np.ndarray: try: return sort_sentiment(result) except AttributeError: return list_to_arr(result)
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private bool _hashComputed; private int _hashCode; private string _targetName; private string _memberDocId; private string _typeDocId; /// <summary> /// Gets or sets the assembly in which the member is defined. /// </summary> public string DefinedInAssemblyIdentity
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for client in client1 client2 client3 client4; do rm -f clients/${client}.csr clients/${client}.crt clients/${client}.key certstrap --depot-path clients request-cert --domain ${client} --passphrase '' certstrap --depot-path clients sign --years 30 --CA ../CA/cacert ${client} rm -f clients/${client}.csr git add clients/${client}.crt clients/${client}.key done
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public async loadById(id: number): Promise<UserOutputType> { const userFound = await this.usersRepo.loadById(id); if (!userFound) { throw new NotFoundException('user not found.'); } return userTransformer(userFound); } }
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async def run(self, service): await service.execute('nmap {nmap_extra} -sV -p {port} --script="banner,(oracle* or ssl*) and not (brute or broadcast or dos or external or fuzzer)" -oN "{scandir}/{protocol}_{port}_oracle_nmap.txt" -oX "{scandir}/xml/{protocol}_{port}_oracle_nmap.xml" {address}')
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"timely_beliefs.sources", "timely_beliefs.examples", "timely_beliefs.visualization", ], include_package_data=True, classifiers=[ "Programming Language :: Python", "Programming Language :: Python :: 3", "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Scientific/Engineering :: Information Analysis",
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""" import setuptools
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msg = "Given freq M does not match PeriodIndex freq B" with pytest.raises(ValueError, match=msg): ps.tshift(freq="M") # DatetimeIndex shifted = datetime_frame.tshift(1) unshifted = shifted.tshift(-1) tm.assert_frame_equal(datetime_frame, unshifted) shifted2 = datetime_frame.tshift(freq=datetime_frame.index.freq) tm.assert_frame_equal(shifted, shifted2) inferred_ts = DataFrame( datetime_frame.values,
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def character(search): search_url = join(ROOT_URL, 'character', str(search)) response = requests.get(search_url, headers=HEADERS) if response.status_code != 200: raise ConnectionError('API endpoint returned status ' + str(response.status_code))
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op.drop_constraint(None, 'run', type_='unique') op.drop_constraint(None, 'publication', type_='unique')
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set -e ./.github/test.sh go tool cover -html=coverage.txt
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# unset AWS_ACCESS_KEY_ID; unset AWS_SECRET_ACCESS_KEY; unset AWS_SESSION_TOKEN set -e DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" STACK_PREFIX=$(cat ${DIR}/../conf.json|jq -r .stack_prefix) ROLE_NAME=${STACK_PREFIX}-deployer ACCOUNT_ID=$(aws sts get-caller-identity|jq -r .Account) TEMP_ROLE=$(aws sts assume-role --role-arn arn:aws:iam::${ACCOUNT_ID}:role/${ROLE_NAME} --role-session-name cli) echo export AWS_ACCESS_KEY_ID=$(echo $TEMP_ROLE | jq -r .Credentials.AccessKeyId)
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}, {} as Sinks) }
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'projectDescription'?: (string); 'publication'?: (_protolca_ProtoRef | null); 'geographyDescription'?: (string); } export interface ProtoProcessDocumentation__Output { 'timeDescription'?: (string); 'validUntil'?: (string); 'validFrom'?: (string); 'technologyDescription'?: (string);
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raise TypeError("Can only do in-place scaling for floating-point arrays") values = np.subtract(values, float(vmin), out=out) if (vmax - vmin) != 0: np.true_divide(values, vmax - vmin, out=values)
ise-uiuc/Magicoder-OSS-Instruct-75K
migrations.AlterField( model_name='picstaff', name='staff_pic', field=models.ImageField(upload_to=picmodels.models.care_advisors.navigator_models.get_staff_pic_file_path, blank=True, null=True), ), ]
ise-uiuc/Magicoder-OSS-Instruct-75K
TypeError: 'builtin_function_or_method' object is not subscriptable >>> one = [1,2,3,4] >>> two = [7,6,5,4] >>> three = ['y1', 'friends','fun'] >>> print (one + two) [1, 2, 3, 4, 7, 6, 5, 4] >>> print (one[3]) 4 >>> one.remove(4) >>> print(one) [1, 2, 3] >>> one.oppend(4)
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print(l[::-1]) n = ["aa", "bb", "cc", ] print("-*-".join(n)) print("--".join([str(i) for i in l]))
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options = dict(n=int, now=datetime) jobs = ('source',)
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<reponame>bhhaskin/bryans.website from allauth.account.adapter import DefaultAccountAdapter class ClosedAccountAdapter(DefaultAccountAdapter): def is_open_for_signup(self, request): return False
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'valor' => 'required|double|min:0', 'ong_id' => 'required' ]; public static $messages = [
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Boolean, )
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import { alpha, styled } from '@mui/material/styles'; import { Box, BoxProps } from '@mui/material'; // ---------------------------------------------------------------------- const RootStyle = styled('div')({ flexGrow: 1, height: '100%', overflow: 'hidden' });
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indices.append(term.subterms.index(term2)) return sign, term.symbol, tuple(indices)
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return nil } return URL(dataRepresentation: data, relativeTo: nil) } open func data<D: StorageData>(forKey key: StoreKey) -> D? {
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} offset += padding self.__pad_count += 1 # Add the element self.__fields[name] = { "type": datatype, "same_level": same_level, "offset": offset, } # Check if end padding is required
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using System.Diagnostics.Contracts; using System.Linq; using System.Runtime.InteropServices;
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pred = self.activation(logit) loss = soft_dice_loss(pred, onehoted_gt, ignore_label=self.ignore_label) if reduction == 'mean': loss = loss.mean() elif reduction == 'none': pass else: raise ValueError(f'Unrecognized reduction method ({reduction}).') return loss
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# Load all other settings 'base/*.py', # Select the right env: 'environments/%s.py' % ENVIRONMENT, optional('local/*.py'), # we can load any other settings from local folder )
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delete table; } public: LYHoldemTable *table;
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* the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program 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
ise-uiuc/Magicoder-OSS-Instruct-75K
switch (Get(tags, "natural")) { case "wood": return OsmShapeCategory.Forest;
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fn fetch_instruction(&self, bus: &mut Bus) -> Instruction { let code = bus.load(self.reg.PC); Instruction::from_code(code) } fn fetch_operand(&self, bus: &mut Bus, mode: AddressingMode) -> Operand { let addr = self.reg.PC + 1;
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headers=None, code=None, ): super(GameballException, self).__init__(message) self._message = message self.http_body = http_body
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// return 1; } public static function check(){ $member = \Yii::$app->session->get('member'); if (Member::findOne(['id'=>$member['id']])->status !==1){ return false; } return true; } }
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public void onAdd(Host host) { onUp(host);
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use RefreshDatabase, Install; function testUninstall(){ $this->artisan("QS:uninstall");
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self.assertEqual(err['errorCode'], exc.NoEligibleDevicesException.code)
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curl -S http://localhost:3000/$1 | stack exec blaze-from-html
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</div> <button type="submit" class="btn btn-warning">Crear</button> </form> @endsection
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INF = 10 ** 18
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class SZoomAccountController extends Controller { /** * Display a listing of the resource. * * @return \Illuminate\Http\Response */ public function supportZoomAcc() { $data['zoom_acc_info'] = EduZoomAccount_Support::valid()->first(); return view('support.zoomAccount.update', $data);
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words = line.split() seq += ''.join(words[1:]) #print(len(seq)) count = 0 k = len(sys.argv[2])
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entry_guess_list = [ f"title Boot Environment [{self.boot_environment}]\n", f"linux /env/{self.new_entry}/vmlinuz-linux\n", f"initrd /env/{self.new_entry}/initramfs-linux.img\n", f"options zfs={self.be_root}/{self.boot_environment}\n" ] config_matches = [en.split(".conf")[0] for en in config_entries if en.split(".conf")[0] == ( self.old_entry or self.new_entry)] old_conf = True if self.old_entry in config_matches else False new_conf = True if self.new_entry in config_matches else False
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result = cv2.addWeighted(src1=res1, alpha=1, src2=res2, beta=1, gamma=0) cv2.imshow('res1', res1) # cv2.imshow('ori', img) # 이미지를 띄운다. cv2.imshow('result', result)
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// 1. get position animator float x = posAnim.getCurrentPosition().x; float y = posAnim.getCurrentPosition().y; // 2. get color animator ofSetColor(colorAnim.getColorCurrent()); ofFill(); // big circle ofDrawCircle(x, y, 100);
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queue = sqs.create_queue(QueueName='requestQueue', Attributes={ 'DelaySeconds': '0' }) print(queue.url) val = input("Enter your value: ") response = queue.send_message(MessageBody=val) time.sleep(30)
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for new_state in random.sample(new_states, len(new_states)): state.append(new_state) if len(new_states) == 0: reached_end += 1 b_next = True print(draw_grid(grid))
ise-uiuc/Magicoder-OSS-Instruct-75K