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} if(($request->master_field_of_study) != null){ $request->master_field_of_study = ($request->master_field_of_study);
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nnfusion ../../frozen_models/frozen_pbs/frozen_lstm_infer_bs16.const_folded.pb -f tensorflow -b nnfusion -m graph -fkernel_fusion_level=3 -fblockfusion_level=0 -fconst_folding_backend=CUDA -fwarmup_step=5 -frun_step=1000 -fkernels_as_files=true -fkernels_files_number=60 -fdot_transpose=true -fproduct_name="Tesla V100-PCIE-16GB" mv nnfusion_rt lstm_bs16_rammerbase cd ../ # build rammer_base cd rammer_base/ cd resnext_nchw_bs1_rammerbase/cuda_codegen cmake . make -j cd ../..
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def __init__(self, **kwargs): pass def get(self, request): # Only fetch students return render(request, self.template_name) def post(self, request): try:
ise-uiuc/Magicoder-OSS-Instruct-75K
for i in range(len(rows)): self.assertEqual(rows[i], tuple(lists[i])) def testCompare(self): '''Test that matrices with identical data compare as equal''' newMatrix = Matrix.Matrix(rows=lists, headers=headers) self.assertEqual(self.matrix, newMatrix) #Not equal test self.assertNotEqual(self.matrix, None) def testGetHeaders(self):
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# Check if user already has characters registered and announce them on log_channel # This could be because he rejoined the server or is in another server tracking the same worlds rows = await self.bot.pool.fetch("""SELECT name, vocation, abs(level) as level, guild FROM "character" WHERE user_id = $1 AND world = $2 ORDER BY level DESC""", member.id, world) if rows:
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exit "${1:-1}" } # constants EXEC_DIR="$(dirname "$0")" OUTPUT_FILE=target/dist/materialize-driver.jar NOW="$(date +%Y%m%d_%H%M%S)" # options RELEASE=n VERSION=_ METABASE_VERSION=latest BUILD=n DOCKER=y
ise-uiuc/Magicoder-OSS-Instruct-75K
/** * Removes renderer * * @param $name string Name of the renderer to be removed * @return IManager Fluent interface */ public function removeRenderer($name) { unset($this->renderers[$name]); return $this; } /**
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if (condition is True): print(msg, **kwargs) return def create_zonal_mean_dataset(ds, verbose=False, include_waves=False, waves=None, fftpkg='scipy'): r"""Compiles a "zonal mean dataset". Given an xarray dataset containing full fields of basic state variables such as velocity components and temperatures, this function will compute as many zonal mean diagnostics as possible.
ise-uiuc/Magicoder-OSS-Instruct-75K
class ReviewForm(FlaskForm): title = StringField('Give your title',validators=[Required()]) review = TextAreaField('Pitch review', validators=[Required()]) submit = SubmitField('Submit') class UpdateProfile(FlaskForm):
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def get() -> context.Context: return context.get('default') def env(unset=False) -> Tuple[List[str], str]:
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res.push_back(i); if(i * i != n) res.push_back(n / i); }
ise-uiuc/Magicoder-OSS-Instruct-75K
with open(path) as data_file: return json.load(data_file) def add(key, value): global extra_config extra_config.update({key: value}) def get_value(key): if key in extra_config: return extra_config[key] elif key in config:
ise-uiuc/Magicoder-OSS-Instruct-75K
class AUBusinessNumberField(CharField): """ A form field that validates input as an Australian Business Number (ABN). .. versionadded:: 1.3 .. versionchanged:: 1.4 """ default_validators = [AUBusinessNumberFieldValidator()] def to_python(self, value):
ise-uiuc/Magicoder-OSS-Instruct-75K
class Image(TraitType): """A trait for PIL images.""" default_value = None info_text = 'a PIL Image object' def validate(self, obj, value): if isinstance(value, PIL.Image.Image): return value self.error(obj, value)
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scene.RegisterRegionWithGrid(); scene2.RegisterRegionWithGrid(); // Adding child agent to region 1001
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) (snmpTargetSpinLock, snmpUnavailableContexts, snmpUnknownContexts) = mibBuilder.importSymbols( 'SNMP-TARGET-MIB', 'snmpTargetSpinLock', 'snmpUnavailableContexts', 'snmpUnknownContexts' ) _snmpTargetSpinLock = MibScalarInstance( snmpTargetSpinLock.name, (0,), snmpTargetSpinLock.syntax.clone(0) )
ise-uiuc/Magicoder-OSS-Instruct-75K
global reserve reserve = text return (text.lower() != '1' and text.lower() != '(1)' and text.lower() != 'reserve a table' and text.lower() != 'n' and text.lower() != 'no') def on_enter_state4_1(self, update):
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# STDOUT print(NexssStdout.decode('utf8', 'surrogateescape'))
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@Override public boolean supportsPath(String path) { if (path != null) {
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for key, value in self.boss.environment.items(): # Each variable should be in the form of <key>='<value>' env_string = key + "="
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func title() -> String? { return parser?.title() ?? file.name } func places() -> [GTPin]? { return parser?.places() }
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""" from __future_ _ import division import numpy as np from sklearn import preprocessing from sklearn.metrics import roc_auc_score import XGBoostClassifier as xg from sklearn.cross_validation import StratifiedKFold
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Fields: data -- the data this node will contain. This data can be any format. """ def __init__(self, data): self.data = data
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} } /// Adds a single colored polygon. pub fn push(&mut self, color: Color, p: Polygon) { self.list.push((FancyColor::RGBA(color), p)); } pub fn fancy_push(&mut self, color: FancyColor, p: Polygon) { self.list.push((color, p)); } /// Applies one color to many polygons.
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# PyTorch tensors assume the color channel is the first dimension # but matplotlib assumes is the third dimension image = image.transpose((1, 2, 0)) # Undo preprocessing mean = np.array([0.485, 0.456, 0.406]) std = np.array([0.229, 0.224, 0.225]) image = std * image + mean # Image needs to be clipped between 0 and 1 or it looks like noise when displayed image = np.clip(image, 0, 1)
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*/ const ACTION_PURCHASE = 'purchase'; /** * The refund of one or more products. */ const ACTION_REFUND = 'refund'; /** * A click on an internal promotion. */ const ACTION_PROMO_CLICK = 'promo_click'; /**
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/// <item><description> /// <NAME>: /// Improving regularized singular value decomposition for collaborative filtering. /// KDD Cup 2007. /// http://arek-paterek.com/ap_kdd.pdf
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public var title: String { fatalError("Abstract property not implemented") }
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- 'inbox' should be a GuerrillaInbox object. - 'GUERRILLAMAIL' is the string URL of GuerrillaMail. """ verification_email_request_limit = 4 assert_tab(driver, GUERRILLAMAIL) inbox.wait_for_email(WAIT_DUR, expected=verification_email_request_limit) try: verification_emails_recived = 0 log(INFO, "Checking if verification emails recieved.")
ise-uiuc/Magicoder-OSS-Instruct-75K
# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2018-01-24 15:47 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion import falmer.content.blocks import wagtail.core.blocks import wagtail.core.fields
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// // Copyright 2018-2020 Amazon.com, // Inc. or its affiliates. All Rights Reserved. // // SPDX-License-Identifier: Apache-2.0 // #if canImport(Combine) import Combine extension DataStoreCategory: DataStoreSubscribeBehavior { @available(iOS 13.0, *) public func publisher<M: Model>(for modelType: M.Type) -> AnyPublisher<MutationEvent, DataStoreError> { return plugin.publisher(for: modelType)
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views?: 'DESC' | 'ASC';
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def test_run_fdr_ranking():
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IntroComponent, ButtonDemoComponent, TypographyDemoComponent, ColorDemoComponent, AppbarDemoComponent,
ise-uiuc/Magicoder-OSS-Instruct-75K
import numpy as np import matplotlib.pyplot as plt def visualize(dataframe, balltype): df = dataframe #Filter by balltype res = df[df["pitch_type"] == balltype]
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Self::ThirdQuarter => "🌗", Self::WaningCrescent => "🌘", Self::New => "🌑", Self::WaxingCrescent => "🌒", Self::FirstQuarter => "🌓", Self::WaxingGibbous => "🌔", } } }
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def solve(a: List[int]) -> int: n = len(a) ans = 0 for i in range(n): for j in range(i + 1, n): ans += a[i] - a[j] return ans
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# Load pretrained model (since intermediate data is not included, the model cannot be refined with additional data) vector_file = os.getenv("VECTOR_FILE", "https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz") binary = bool(os.getenv("BINARY_VECTOR_FILE", "true" if ".bin" in vector_file else "false").lower() == "true") model = KeyedVectors.load_word2vec_format( vector_file, binary=binary)
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if item_list: for item in item_list: if item in items.keys(): items[item] += 1 else: items[item] = 1 top_items = dict(sorted(items.items(), key=lambda item: item[1], reverse=True)) for i, key in enumerate(top_items): top_items[key] = i + 1
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noisy = deep_to(noisy, device, non_blocking=True)
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* */ @SerializedName(value = "autoApplyReviewResultsEnabled", alternate = {"AutoApplyReviewResultsEnabled"}) @Expose public Boolean autoApplyReviewResultsEnabled; /** * The Auto Review Enabled. * */ @SerializedName(value = "autoReviewEnabled", alternate = {"AutoReviewEnabled"}) @Expose public Boolean autoReviewEnabled; /**
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self.receive() def receive(self): try: data = os.read(self.fd, 8192) except OSError: data = b'' sys.stdout.write(base64.b64encode(data))
ise-uiuc/Magicoder-OSS-Instruct-75K
from .watchers import build_spot_open_orders_watcher as build_spot_open_orders_watcher from .watchers import build_serum_open_orders_watcher as build_serum_open_orders_watcher from .watchers import build_perp_open_orders_watcher as build_perp_open_orders_watcher from .watchers import build_price_watcher as build_price_watcher from .watchers import build_serum_inventory_watcher as build_serum_inventory_watcher from .watchers import build_orderbook_watcher as build_orderbook_watcher from .websocketsubscription import IndividualWebSocketSubscriptionManager as IndividualWebSocketSubscriptionManager from .websocketsubscription import SharedWebSocketSubscriptionManager as SharedWebSocketSubscriptionManager from .websocketsubscription import WebSocketAccountSubscription as WebSocketAccountSubscription from .websocketsubscription import WebSocketLogSubscription as WebSocketLogSubscription from .websocketsubscription import WebSocketProgramSubscription as WebSocketProgramSubscription from .websocketsubscription import WebSocketSubscription as WebSocketSubscription from .websocketsubscription import WebSocketSubscriptionManager as WebSocketSubscriptionManager
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s.close() if __name__ == "__main__": Main()
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""" import itertools import numpy as np from sklearn.utils.validation import check_is_fitted from verde import cross_val_score, Spline from verde.base import BaseGridder from verde.model_selection import DummyClient class SplineCV(BaseGridder): r"""
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return data @Action.action def cb_action(self, uinfo, name, kp, input, output): while True: with ncs.maapi.single_read_trans('admin', 'admin') as t: save_data = self.read_config(t, "/netconf-ned-builder/project{router 1.0}/module/status") xml_str = str(save_data) if xml_str.find("selected pending") != -1: time.sleep(1); else: return;
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interpreter = VarAssignmentInterpreter('Name', 'Otavio', env, error) response = interpreter.execute() assert response == 'Otavio'
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$is_folder = strpos($request->file, $request->user()->userable->getFolderName()); if ($user_id == $folder_id && $is_folder !== false) { return $next($request); } else { return abort(404); } } }
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"appName": self._agent_object.agent_name, "instanceName": self.instance_name }], "task": {
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helpers/event.js \ helpers/hash.js \ helpers/javascript.js \ helpers/json.js \ helpers/location.js \ helpers/string.js \ helpers/sys.js \ helpers/view.js \ helpers/xml.js \ libs/spazaccounts.js \ libs/spazimageurl.js \ libs/spazfileuploader.js \
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abstract DisconnectionRouterOutput bindDisconnectionRouterOutput(DisconnectionRouter disconnectionRouter); }
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pub mod myutils;
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# create coordinate transformation inSpatialRef = osr.SpatialReference() inSpatialRef.ImportFromEPSG(inputEPSG) outSpatialRef = osr.SpatialReference() outSpatialRef.ImportFromEPSG(outputEPSG)
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operations = [ migrations.AlterModelOptions( name='notification', options={'ordering': ['-received_date']}, ), ]
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import unittest import envi import vivisect import vivisect.codegraph as codegraph import vivisect.tests.samplecode as samplecode
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public Text getCurrentSemDisplay() { return currentSemDisplay; } }
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using System; using Unity.Entities;
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), migrations.DeleteModel( name='CheckpointSubmission', ), ]
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#} }; #[
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class EmptyInequalityMatrix extends Exception { #[Pure] public function __construct() { $this->code = "000"; $this->message = "The inequalities matrix is empty";
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EOF
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if file.endswith('.csv'): path = os.path.join('./data', file) with open(path) as f: lines = f.readlines() digit = os.path.splitext(file)[0].split('_')[-1] data_size[digit].append(len(lines)) for digit in data_size: size = data_size[digit] print(sum(size)/len(size))
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class Test_pip_caco2_efflux_transformation(unittest.TestCase):
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String componentType, String componentName, String componentID, String parentID, double[][] currentPoints) throws DataException, DataSecurityException; int generateCellMembrane(int numElelements, String startID, String componentType, String componentName, String componentID, String parentID, double radius, double[][] currentPoints) throws DataException, DataSecurityException;
ise-uiuc/Magicoder-OSS-Instruct-75K
TeamImageComponent, NotificationMenuComponent, NotificationItemComponent ] }) export class TeamdojoSharedCommonModule {}
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expect(list.length).toBe(0); expect(list.first).toBeNull(); expect(list.last).toBeNull(); }); test('add', () => { let spy = jest.spyOn(list, 'addLast').mockReturnValueOnce(); list.add(0); expect(spy).toBeCalledWith(new DoublyLinkedListNode(0)); });
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fullIndexOffset = fullIndexOffset, endian = endian) return result
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row_str = row_str + "%.2lf" % (accum_bw[i][j]/accum_bw_count[i][j]) + "\t" else: row_str = row_str + "0" + "\t" print(row_str) df_gpu.to_csv( logdir + '/' + 'comm.csv', columns=[ "timestamp", "pkt_src",
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cbfdecompress(data, output) return output.reshape(dim2, dim1)
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private func add( layoutDefiningView view: LayoutDefining & UIView, center: Layout.Center, relation: ConstraintRelation ) { if let x = center.x { let length = self.length(for: x) { ($0.minX, $0.maxX) } let otherAnchor: NSLayoutXAxisAnchor switch x.boundary { case .superview: otherAnchor = leadingAnchor case .margin: otherAnchor = layoutMarginsGuide.leadingAnchor
ise-uiuc/Magicoder-OSS-Instruct-75K
#SHAPE CONSTRUCTION def _add_defaults(self, **kwargs): #adds design defaults to kwargs of draw methods when not specified for kwarg, default in DEFAULTS.items(): if kwarg not in kwargs: kwargs[kwarg] = default return kwargs def draw_circle(self, center, radius = 50, **kwargs): kwargs = self._add_defaults(**kwargs) circle = self.svg_doc.circle(center, r = radius, **kwargs) self.svg_doc.add(circle)
ise-uiuc/Magicoder-OSS-Instruct-75K
for i in range(numTrig): self.add(EvrV2TriggerReg( name = f'EvrV2TriggerReg[{i}]', offset = 0x00020000 + 0x1000*i, ))
ise-uiuc/Magicoder-OSS-Instruct-75K
from_this_person_to_poi long_term_incentive from_poi_to_this_person After watching the documentary, features that could be important in identifying POIs: exercised_stock_options restricted_stock bonus shared_receipt_with_poi from_this_person_to_poi from_poi_to_this_person '''
ise-uiuc/Magicoder-OSS-Instruct-75K
/// <returns> The target page of records </returns> public static Page<ConferenceResource> GetPage(string targetUrl, ITwilioRestClient client) { client = client ?? TwilioClient.GetRestClient(); var request = new Request( HttpMethod.Get, targetUrl ); var response = client.Request(request); return Page<ConferenceResource>.FromJson("conferences", response.Content); } /// <summary>
ise-uiuc/Magicoder-OSS-Instruct-75K
if [[ $NODE_COUNT -gt 1 ]] && [[ $INSTANCE != $INSTANCE_ID ]]; then # Get the node id and type from its tag NODE_ID=$(aws ec2 describe-tags --filters "Name=resource-id,Values=$INSTANCE" "Name=key,Values=node-id" --region $REGION --output=json | jq -r .Tags[0].Value)
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public init(collectionId: String? = nil, outputs: [Output]? = nil) {
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@admin.register(Category) class CategoryAdmin(admin.ModelAdmin): prepopulated_fields= {'slug':('name',)} @admin.register(Tag) class TagAdmin(admin.ModelAdmin): prepopulated_fields= {'slug':('name',)}
ise-uiuc/Magicoder-OSS-Instruct-75K
m3o search search --index="customers" --query="name == 'John'"
ise-uiuc/Magicoder-OSS-Instruct-75K
{ /** * Run the database seeds. * * @return void */ public function run() { Transaction::truncate(); $data = [ ['no_transaction' => '000001', 'name' => '<NAME>', 'amount' => 30000, 'date' => '2020-01-01 00:00:00', 'is_active' => 1, 'user_id' => 1, 'type_id' => 1], ['no_transaction' => '000002', 'name' => '<NAME>', 'amount' => 10000, 'date' => '2020-01-01 00:00:00', 'is_active' => 1, 'user_id' => 1, 'type_id' => 2], ['no_transaction' => '000003', 'name' => 'Wedding', 'amount' => 40000, 'date' => null, 'is_active' => 0, 'user_id' => 1, 'type_id' => 3],
ise-uiuc/Magicoder-OSS-Instruct-75K
from django.core.exceptions import ValidationError def validate_country(value): if len(value) != 2 or not re.match('[A-Z]{2}', value): raise ValidationError('Please enter your country code. e.g. US')
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reserve=1024*1024*32 def run(cmd): print cmd # return 0 return os.system(cmd) def main(): d = posixpath.dirname(sys.argv[0]) make_ext4fs_opt_list = [] optlist, args = getopt.getopt(sys.argv[1:], 'l:j:b:g:i:I:L:a:G:fwzJsctrvS:X:') if len(args) < 1: print 'image file not specified' return -1; image_file = args[0]
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</button> <div class="collapse navbar-collapse" id="navbarNavDropdown">
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int result(-1); OOLUA::pull(*m_lua, result);
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</div> </div> </div> </div> {{-- MODALES --}} <div class="modal fade" id="modalAgregarSede"> <div class="modal-dialog modal-dialog-centered modal-lg" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title">Agregar Sede</h5> <button type="button" class="close" data-dismiss="modal"><span>&times;</span> </button>
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# dictionary to the proper json. body = { 'username': username, 'password': password } # Call the helpsocial.post method directly # passing the path to the authentication resource ('tokens'), # the authentication provider,
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@Override public String getAddress() { return "World wide"; } }
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Print.useSystemOut(); }); commandResult.exitCode = exitCode;
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Seven, eght. Sorry, I\'m late.\ Nine, ten. Say it again.'
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self_service = self class FinishListener: def finished(self): self_service._fire_execution_finished(execution_id, user) executor.add_finish_listener(FinishListener()) def _fire_execution_finished(self, execution_id, user):
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close(fileOpenReturnVal); } void *random_write_then_read(void *blockSize){ int bsze=(int)(long)blockSize; returnVal=open("test.txt",O_CREAT|O_TRUNC|O_WRONLY, 0666); int i, returnVal, r; //random write into the disk for(i=0;i<1000000000/bsze;i++) { r = rand()%(1000000000/bsze); char *b = new char[bsze]; memset(b,'0',bsze);
ise-uiuc/Magicoder-OSS-Instruct-75K
# args["name"] = "me me"
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openssl req -new -x509 -sha256 -days 365 -nodes -out certs/ca.crt \ -keyout keys/ca.key -subj "/CN=root-ca" # Create the server key and CSR and sign with root key openssl req -new -nodes -out server.csr \ -keyout keys/server.key -subj "/CN=localhost" openssl x509 -req -in server.csr -sha256 -days 365 \ -CA certs/ca.crt -CAkey keys/ca.key -CAcreateserial \ -out certs/server.crt openssl ecparam -name prime256v1 -genkey -noout -out keys/client.key
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raise AxisError( f"{self} is {N}-D but initiated with {len(self._axes_series)} axes" ) for n, (a_id, axis_series) in enumerate(zip(self._a_ids, self._axes_series)): if a_id is not None and axis_series is not None and a_id != axis_series.id: raise AxisError( f"{self} initiated with contradicting id's for {n}'th axis" ) elif a_id is None and axis_series is None: raise AxisError( f"{self} has no axis id for series or id for its {n}'th axis" ) @property
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<?php namespace App; use Illuminate\Database\Eloquent\Model; use Illuminate\Database\Eloquent\SoftDeletes; class ResetPassword extends Model { protected $table = 'usuarios_password_resets'; public $incrementing = false; protected $primaryKey = null;
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public class HomeCommand extends SequentialCommandGroup { public HomeCommand(Subsystem subsystem, Command move, BooleanSupplier atLimit, Command zeroSensors) { addRequirements(subsystem);
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break
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self.stuff = obj @inline def getStuff(self): return self.stuff @inline def add_stuff(x, y): return x + y def add_lots_of_numbers(): for i in xrange(10):
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Self { name: name.into() } } }
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* @Version 1.0.0 */ public interface BaseMapper<T> extends Mapper<T>, MySqlMapper<T> { }
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++i; switch ( type ) { case(Constants::BAM_TAG_TYPE_ASCII) : case(Constants::BAM_TAG_TYPE_INT8) : case(Constants::BAM_TAG_TYPE_UINT8) :
ise-uiuc/Magicoder-OSS-Instruct-75K