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const uppercase = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'; const lowercase = 'abcdefghijklmnopqrstuvwxyz'; const numbers = '0123456789'; const specialChars = '!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ '; export const symbols = uppercase + lowercase + numbers + specialChars; export const limitedSymbols = uppercase + lowercase + numbers;
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'http':'http://localhost:5555/random' } print(proxie)
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public static void SetCurrentRagdollDefinition(RagdollDefinition definition) { currentDefinition = definition; } public override void OnGUI(Rect position, SerializedProperty property, GUIContent label) {
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if not latent: for k in np.arange(K): assert np.all(L[k]==0) dim = ((p ** 2 + p) / 2).sum() # number of elements of off-diagonal matrix D1 = np.sqrt(sum([np.linalg.norm(Omega[k])**2 + np.linalg.norm(Lambda[k])**2 for k in np.arange(K)] )) D2 = np.sqrt(sum([np.linalg.norm(Theta[k] - L[k])**2 + np.linalg.norm(Theta[k])**2 for k in np.arange(K)] )) D3 = np.sqrt(sum([np.linalg.norm(X0[k])**2 + np.linalg.norm(X1[k])**2 for k in np.arange(K)] )) e_pri = dim * eps_abs + eps_rel * np.maximum(D1, D2)
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<h3 class="tile-title">Add Skill</h3> <form action="{{ route('skills.store') }}" method="POST"> @csrf <div class="tile-body"> <div class="form-group"> <label class="control-label" for="skill_name">Skill Name <span class="text-danger">*</span></label> <input id="skill_name" class="form-control" type="text" placeholder="Enter skill name" name="skill_name" value="{{ old('skill_name') }}"> </div> <div class="form-group"> <label class="control-label" for="skill_icon">Skill Icon <span class="text-danger">*</span></label>
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from rest_framework import throttling class ApplicationRateThrottle(throttling.SimpleRateThrottle):
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depends_on('cuda@10.1.0:11.0.2', when='@7.6.3.30-10.1-linux-x64') depends_on('cuda@10.1.0:11.0.2', when='@7.6.3.30-10.1-linux-ppc64le') depends_on('cuda@10.1.0:10.1.999', when='@7.5.0.56-10.1-linux-x64')
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.filter(pk__in=pks[start:end]) model._default_manager \ .using(self.dest_db) \ .bulk_create(objs) def _collect_related_pks(self, model): related_fields = [ field for field in model._meta.fields if (field.one_to_one or field.many_to_one) and field.related_model != model]
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for x in range (5,0,-1): for y in range(x,0,-1): print(" ",end="") print(str(num)*inc) num += 2 inc += 2
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# shuffle the data permutation = self._rand.permutation(n_train_data) # for each batch for batch_start in range(0, n_train_data, batch_size): # get batch batch_data = X[permutation[batch_start:batch_start+batch_size]] batch_target = y[permutation[batch_start:batch_start+batch_size]] # forward pass outputs[0] = batch_data for layer, i in zip(self.layers, range(len(self.layers))): outputs[i+1] = layer(outputs[i]) # backward pass self.zero_grad() current_grad = self.loss.gradient(batch_target, outputs[-1])
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for i in 0..100 { // TODO Warmup } for i in 0..num_iteration { match unsafe { MultipleAddrCacheSideChannel::prepare(self, &mut batch) } {
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StringEncryptor stringEncryptor; @Test public void encryptPwd() { // 将上面的加密码放在对应的application.yml中 ENC(8s8U3PNKC/PLgzK4nUzkqFwRBy0exXWv) // ENC(+MMpFNWpyeg99/Jpa6ewEQWvjncpFn0L) eocpviiluqamdjhe String gmail = stringEncryptor.decrypt("MOJAVmMYz5sp3pl1b7b6qGzu/wC9MzNA");
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self._check_init() self._closed = True coros = [] for con in self._connections: coros.append(con._before_stop()) await asyncio.gather(*coros, loop=self._loop) coros = [] for con in self._connections: coros.append(con._stop()) await asyncio.gather(*coros, loop=self._loop) self._reset()
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("user_led", 2, Pins("18"), IOStandard("LVCMOS33")), # Buttons. ("user_btn", 0, Pins("15"), IOStandard("LVCMOS33")), ("user_btn", 0, Pins("14"), IOStandard("LVCMOS33")), # Serial
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from django_rq import job from inline_static.css import transform_css_urls logger = logging.getLogger(__name__) @job def calculate_critical_css(critical_id, original_path): from .exceptions import CriticalException from .models import Critical
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java -jar $JARFILE $@
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HS512 = HMACAlgorithm(hashlib.sha512) class RSAAlgorithm(AbstractSigningAlgorithm): def __init__(self, hash_fun: object) -> None:
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False >>> cache_session['cat'] = "dog" >>> cache_session.modified True >>> cache_session.pop('cat') 'dog'
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The methods specified by the record type are available through the underlying object. """ class AssessmentPartFormRecord(abc_assessment_authoring_records.AssessmentPartFormRecord, osid_records.OsidRecord): """A record for an ``AssessmentPartForm``. The methods specified by the record type are available through the underlying object.
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return position - Vector(x=1)
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optimizer.load_state_dict(checkpoint['optimizer']) start_iter = checkpoint['iteration'] scheduler = lr_scheduler.ReduceLROnPlateau(optimizer, 'min',patience=60000) train_iterations(
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// Tunnel established: TunnelPtr tunnel = any_cast<TunnelPtr>(conn->getContext()); TcpConnectionPtr appServerConn = tunnel->appServerConn(); // Shouldn't get data from appClientConn while appServerConn isn't established // Error! Stop connect, close tunnel and close this conn if (!appServerConn) { tunnel->close();
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fn tag_pass(&self, tag: Tag, pass: bool) { tracing::info!(?tag, ?pass, "check"); assert_eq!( self.check_tag(tag.clone()).unwrap(),
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lista_end = get_rec(g,code_list,recursive_list) lista_end_int = [int(key) for key in lista_end] # Load concepts concepts_df = pd.read_csv(concepts_file, sep="\t")
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if not os.path.exists(path): os.makedirs(path) with open(os.path.join(path,'abstract.txt'),'w') as fout: fout.write(abstracts[abstract])
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parser.add_argument('--loss_function', default='binary_crossentropy', type=str, help='loss function (binary_crossentropy | crossentropy)') parser.add_argument('--optimizer_function', default='adam', type=str, help='optmizer function')
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__all__ = ['replicate', 'scatter', 'parallel_apply', 'gather', 'data_parallel', 'DataParallel', 'DistributedDataParallel', 'DistributedDataParallelCPU']
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class Migration(migrations.Migration): dependencies = [ ('currency', '0008_auto_20200323_1117'), ] operations = [ migrations.AlterModelOptions( name='rate', options={}, ), migrations.AlterField(
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@mark.parametrize("test_file", [("baseline_tag-notes_labels.ris")]) def test_asreview_labels_ris(test_file, tmpdir): fp_in = Path("tests", "demo_data", test_file) asr_data = ASReviewData.from_file(fp_in) tmp_ris_fp_out = Path("tmp_labels.ris") asr_data.to_ris(tmp_ris_fp_out) asr_data_diff = ASReviewData.from_file(tmp_ris_fp_out) # Check if input file matches the export file assert list(asr_data.title) == list(asr_data_diff.title) assert list(asr_data.labels) == list(asr_data_diff.labels)
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from ..base import AsyncPRAWBase
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{ }
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<div class="row"> @foreach ($brand->products as $product)
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self.app = app self.mongo = mongo self.vfs = None if app is not None: self.app = app self.init_app(app, **kwargs) def init_app(self, app, **kwargs): self.app = app config = app.config.get('VFS', {}) self.vfs = VirtualFileSystem(app, rid=config.get(u'RID', u'0000-0000-0000-0000'), root=config.get(u'ROOT', None), devices=config.get(u'DEVICES', None)) setattr(self.app, 'vfs', self.vfs)
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def test_utf8_query():
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* * @codeCoverageIgnore * @author nacho */ class ReadabilityTextExtractor implements HTMLTextExtractor{ /** * * @param string $html
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fileexists = os.path.isfile(os.path.join(filepath, filename)) if fileexists: print 'Adding', filename, 'to database'
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tf.app.flags.DEFINE_string('face_detector', 'NFD', """Face detector (NFD/HFD)""") WRITE_TB_DATA = False FLAGS.num_preprocess_threads = 1 FLAGS.prev_frame_init = False FLAGS.patch_size = 14 FLAGS.batch_size = 7
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pAgricultureBSLsep = 0.7 nBuildings = {'FSH': 505, 'REH': 1010, 'SAH': 680, 'BAH': 100} pAgents = {'FSH': 0.9, 'REH': 0.9, 'SAH': 0.85, 'BAH': 0.75} pPHHagents = {'FSH': 0.8, 'REH': 0.8, 'SAH': 0.6, 'BAH': 0.9} pAgriculture = {'FSH': 0.2, 'REH': 0.2, 'SAH': 0.0, 'BAH': 0.0} # district heating and PV pDHN = {'FSH': 0.1, 'REH': 0.1, 'SAH': 0.1, 'BAH': 0.1} pPVplants = 0.2
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{ class EffectViewModel { } }
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<filename>example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/neutron mag. mom. to Bohr magneton ratio.py constants.physical_constants["neutron mag. mom. to Bohr magneton ratio"]
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print(a) b = a[-1:]
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if (!Sounds.TryGetValue(name, out s)) return; AL.SourceStop(s.Source); }
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Son = Family('Kevin', 'Smith', 'Brown') print(Daughter.eyes) print(Son.eyes)
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class AHKSteps(AHK, Base): @Base.given(u'the mouse position is ({xpos:d}, {ypos:d})') def given_mouse_move(self, xpos, ypos): self.mouse_move(x=xpos, y=ypos) @Base.when(u'I move the mouse (UP|DOWN|LEFT|RIGHT) (\d+)px', matcher=RegexMatcher) def move_direction(self, direction, px): px = int(px) if direction in ('UP', 'DOWN'): axis = 'y' else:
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<reponame>chrisns/cks-notes #!/bin/sh gcloud compute instances start cks-master cks-worker
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/// - completion: Kind of completion provided to the user for this option. /// - transform: A closure that converts a string into this property's type or throws an error. public init( name: NameSpecification = .long, parsing parsingStrategy: SingleValueParsingStrategy = .next, help: ArgumentHelp? = nil, completion: CompletionKind? = nil,
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set -euo pipefail source ~/miniconda3/etc/profile.d/conda.sh conda env create -f environment.yml conda activate fis jupyter labextension install @axlair/jupyterlab_vim @jupyterlab/toc @ryantam626/jupyterlab_code_formatter jupyter lab build --name='fis' cd notebooks jupytext --to ipynb templ.py
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func waitUntil(element: XCUIElement, condition: elementStatus, timeout: TimeInterval = TimeInterval.init(5)) { let expectation = XCTNSPredicateExpectation(predicate: NSPredicate(format: condition.rawValue), object: element) let result = XCTWaiter.wait(for: [expectation], timeout: timeout) if result == .timedOut { XCTFail(expectation.description) } } func tap(element: XCUIElement) { waitUntil(element: element, condition: .exist)
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import skimage from skimage.color import rgb2gray from skimage import data import matplotlib.pyplot as plt import matplotlib matplotlib.rcParams['font.size'] = 18 import numpy as np def Invert(image): grayim = rgb2gray(image) a, b = np.shape(grayim) inverted = np.empty([a, b]) for k in range(a): for i in range (b): inverted[k,i] = 255 - grayim[k,i]
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Pipe::message_id msg) { SecureQueue* q = get(msg); if(q) return q->read(output, length); return 0; } /* * Peek at data in a message */ size_t Output_Buffers::peek(byte output[], size_t length,
ise-uiuc/Magicoder-OSS-Instruct-75K
from .command_runner import LocalCommandRunner from .platform_domain import CommandNotAvailableIssue from .platform_domain import OperatingSystem from .platform_domain import PlatformIssue from .platform_domain import PlatformScope from .platform_domain import UnsupportedOperatingSystemIssue from .platform_exceptions import UnsupportedOperatingSystemException from .platform_exceptions import UnsupportedPlatformException
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class CreateListForm(forms.Form): name = forms.CharField(label="Name ", max_length=300)
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// // Generated file. Do not edit. // import FlutterMacOS import Foundation import assets_audio_player import assets_audio_player_web import path_provider_macos
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#fukcija rezukzivno crta stablo s dva lista
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hand_names = ["High Card", "Pair", "Two Pair", "3 of a Kind", "Straight", "Flush", "Full House", "4 of a Kind", "Straight Flush"] def hand_percentage(n=700*1000): """Sample n random hands and print a table of percentages for each type of hand. Args: n: int indicates total number of hands to be dealt. """ counts = [0]*9 for i in range(n/10): for hand in deal(10):
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} previousQuery = query; previousBitSet = bitSet; assertThat(cache.getBitSet(queryBuilder.toQuery(shardContext), leafContext), sameInstance(bitSet));
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class TestPop: def test_pop_multiple(self): _dict = {"ec": "none", "edgecolor": "none"} with pytest.raises(TypeError): daft._pop_multiple(_dict, "none", "ec", "edgecolor")
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df = ''
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* "id": 1, "atirbuto1": "Valor nuevo" } * * @param id corresponde a la Boleta a actualizar. * @param espectaculo corresponde al objeto con los cambios que se van a * realizar. * @return El espectaculo actualizado. * @throws BusinessLogicException * * En caso de no existir el id del Espectaculo a actualizar se retorna un * 404 con el mensaje. */ @PUT @Path("{id: \\d+}") public EspectaculoDetailDTO updateEspectaculo(@PathParam("id") Long id, EspectaculoDetailDTO espectaculo) throws BusinessLogicException, UnsupportedOperationException {
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[np.sin(q[i]), np.cos(q[i]), 0 , 0], [0, 0, 1, 0], [0, 0, 0, 1]]) # else: # Case in which there are prismatic joints. ## Tel = np.array([[1, 0, 0, 0], ## [0, 1, 0, 0], ## [0, 0, 0, q[i]]
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fixture = TestBed.createComponent(FilterEventTwoComponent); component = fixture.componentInstance; fixture.detectChanges(); }); it('should create', () => { expect(component).toBeTruthy(); }); });
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public bool PaintBack { get { return _PaintBack; } set { _PaintBack = value; } } //------ End Properties -------//
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# The LOCATION var stores what repo symlink was used. It becomes part of the # path where images are stored.
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/** * @Description: Password encryption method * @param {string} password * @return {*} */ makePassword(password: string): string { return this.nodeAuth.makePassword(password); }
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from .views import ( HomeView, MyBitlyRedirectView, ) urlpatterns = [
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width = 1800 heigth = 1200 for item in os.listdir(inputDir): split = item.split(".") if split[-1] == "svg": filename = '.'.join(split[:-1]) print "Converting "+filename os.system("inkscape.exe -z -e "+outputDir+filename+".png -w " + str(width) + " -h " + str(heigth) + " "+inputDir+item)
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else { return temp * temp * (1/x); } } } };
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echo "First Parameter : $1" echo "Second Parameter : $2" echo "Quoted Values: $@" echo "Quoted Values: $*" echo "Total Number of Parameters : $#" # $* 和 $@ 都表示传递给函数或脚本的所有参数,不被双引号(" ")包含时,都以"$1" "$2" … "$n" 的形式输出所有参数。
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// // recommendations: change namespace, explain use of this class // __ ___ ____ _____ ______ _______ ________ _______ ______ _____ ____ ___ __ */ //own header #include "INetEndpoint.h" #include "net_functions.h" #include <string.h>
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# Get an array that is the interesction of minerals and lemmas minerals_found = list(set(minerallist).intersection(set(lemmas))) # Store ages found ages_found = [] # Store location words found locations_found = [] # Record all words tagged as 'LOCATION' in ners
ise-uiuc/Magicoder-OSS-Instruct-75K
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> <?php include "../../legacy-includes/Script.htmlf" ?> </head> <body bgcolor="#FFFFCC" text="000000" link="990000" vlink="660000" alink="003366" leftmargin="0" topmargin="0"> <table width="744" cellspacing="0" cellpadding="0" border="0"> <tr><td width="474"><a name="Top"></a><?php include "../../legacy-includes/TopLogo.htmlf" ?></td> <td width="270"><?php include "../../legacy-includes/TopAd.htmlf" ?> </td></tr></table>
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sc = mobilenet.training_scope(is_training=True) self.assertIn('is_training', sc[slim.arg_scope_func_key(slim.batch_norm)]) sc = mobilenet.training_scope()
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import jady.nlg_server
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/// Executes the main method pub fn main(&mut self) -> Result<(), InterpreterError> {
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func fetchFileContent(from fileName: String) -> String? func saveDocumentationOutputFile(with content: String, documentName: String?, path: String?) func createEmptyFile(with fileName: String?) }
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except: cpu_serial = "ERROR000000000" return cpu_serial def write_db(tmp, hum, device_id): json_body = [
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assert len(results) == len(expected_results) for actual, expected in zip(results, expected_results): assert actual.type_name == expected['TypeName'] assert actual.text == expected['Text'] assert actual.resolution['value'] == expected['Resolution']['value']
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super().__init__('keys_to_twist') self._key_sub = self.create_subscription(String, 'keys', self.key_callback) self._twist_pub = self.create_publisher(Twist, 'cmd_vel', QoSProfile(depth=10)) self.g_last_twist = Twist() self.create_timer(0.1, self.send_last_velocity) def key_callback(self, msg): if len(msg.data) != 0 and msg.data in self.key_mapping: vels = self.key_mapping[msg.data] self.g_last_twist.angular.z = vels[0]
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with raises(TypeError): assert_nullable_type(GraphQLNonNull(ObjectType)) def describe_get_nullable_type(): def returns_none_for_no_type(): assert get_nullable_type(None) is None
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cout << water + sugar << " " << sugar << endl; return 0; }
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} } impl Model { fn shade_views(&mut self) -> bool {
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print('Você está na idade de se alistar. Não perca tempo!') else: print('Você passou do prazo de alistamento.') print(f'Sua idade é {idade_alistamento} anos, já passou {idade_alistamento - 18} anos. Regularize a situação!')
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if block: print(' "block.libvulpes.{}{}": "{} {}",'.format(objType.lower(),mat.name, human_mat, human_type)) else: print(' "item.libvulpes.{}{}": "{} {}",'.format(objType.lower(),mat.name, human_mat, human_type))
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const createSelect = fn => { const store = SelectFactory.store; if (!store) { throw new Error('SelectFactory not connected to store!');
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const string templateSource = "<img src=\"http://sub.domain.com/@(Model).png\">"; var template = Template.Compile(templateSource); foreach (var image in images) { var expected = string.Format("<img src=\"http://sub.domain.com/{0}.png\">", image); var actual = template.Render(image); Assert.AreEqual(expected, actual); } } } }
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|| exit 1; echo "" echo "####################" echo "### END TRAINING ###" echo "####################" fi if [ $stage -le 2 ]; then
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self.D = DiscreteGaussianDistributionIntegerSampler(RR(sigma)) self.n = ZZ(n) self.P = P def __call__(self): """ Return a new sample. EXAMPLES:: sage: from sage.stats.distributions.discrete_gaussian_polynomial import DiscreteGaussianDistributionPolynomialSampler sage: sampler = DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 8, 12.0) sage: sampler().parent() Univariate Polynomial Ring in x over Integer Ring sage: sampler().degree() <= 7
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class _BareReprMeta(type): def __repr__(cls) -> str: return f'<{cls.__name__}>' class _NONE(metaclass=_BareReprMeta): """Sentinel type used to represent 'missing'."""
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agent_shopping_moment[i].append([]) #agent_shopping_moment[0][0].append(1) #agent_shopping_moment[0][1].append(2) #for moment, shop in agent_shopping_moment[0]: #print moment, shop print agent_shopping_moment ''' #M0,M1,M2,Sh0,Sh1,Sh2,S = sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4], sys.argv[5], sys.argv[6], sys.argv[7]
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lastv = hidden layers.append(nn.Linear(lastv, out_dim)) self.layers = nn.Sequential(*layers) # self = MLP( # (layers): Sequential( # (0): Linear(in_features=580, out_features=256, bias=True)
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field=models.URLField(blank=True, help_text='Public URL for the conference and/or conference program', max_length=500, verbose_name='URL'), ), ]
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/* Inserts a new record to the indexing system * @param int hf: hash function that we are touching * @param string record: new record
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('Jones', 'Accounting', 45000, 37000), ('Adams', 'Accounting', 50000, 37000), ('Moore', 'IT', 34000, 34000), ('Wilkinson', 'IT', 60000, 34000), ('Johnson', 'Management', 80000, 80000), ('Miller', 'Management', 100000, 80000), ('Smith', 'Marketing', 38000, 38000),
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for _, _, files in os.walk(dataset_root_dir): for name in files: all_files.append(os.path.splitext(name)[0]) all_files = np.unique(all_files) random.shuffle(all_files) train_names = all_files[test_num_files:] test_names = all_files[:test_num_files] with open(os.path.join(dataset_root_dir, CONFIG_NAME), 'w') as outfile: json.dump({'test': test_names.tolist(), 'train': train_names.tolist()}, outfile, indent=4) return get(dataset_root_dir)
ise-uiuc/Magicoder-OSS-Instruct-75K
[TR(generate_test_description, {}, [], [])] ) results = runner.run() for result in results.values(): assert not result.wasSuccessful() # Make sure some information about WHY the process died shows up in the output out, err = capsys.readouterr() assert 'Starting Up' in out assert 'Process had a pretend error' in out # This is the exception text from exception_node # Run some known good tests to check the nominal-good test path
ise-uiuc/Magicoder-OSS-Instruct-75K
mars_data['hemisphere_image_urls'] = hemisphere_image_urls
ise-uiuc/Magicoder-OSS-Instruct-75K
# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ==============================================================================
ise-uiuc/Magicoder-OSS-Instruct-75K
const apollo = new ApolloServer({ schema, plugins: [ ApolloServerPluginDrainHttpServer({ httpServer }), { async serverWillStart() { return { async drainServer() { cleanServer.dispose(); } }; } },
ise-uiuc/Magicoder-OSS-Instruct-75K
) assert 'invalid email' in str(excinfo.value) def test_send_with_wrong_from_email(self, emaillib_yandex): ''' Отправка письма с неверным email отправителя ''' with pytest.raises(endem.EmailSenderError) as excinfo: emaillib_yandex.send( 'wrong', 'password', '<EMAIL>', 'subject', 'message' ) assert 'invalid email' in str(excinfo.value)
ise-uiuc/Magicoder-OSS-Instruct-75K
++VertexIndex2; } // Left and right faces of box VertexIndex1 = 2 * ( WP * LP + HP * LP ); VertexIndex2 = VertexIndex1 + HP * WP; IndexIndex1 = 12 * ( LengthSegments * WidthSegments + LengthSegments * HeightSegments ); IndexIndex2 = IndexIndex1 + ( 6 * WidthSegments * HeightSegments ); for( int j = 0; j < HeightSegments; ++j ) { for( int i = 0; i < WidthSegments; ++i ) { // Right
ise-uiuc/Magicoder-OSS-Instruct-75K