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batch_size = H['batch_size'] now = datetime.datetime.now() now_path = str(now.month) + '-' + str(now.day) + '_' + \ str(now.hour) + '-' + str(now.minute) + '_' + H['loss_function'] sys.stdout.write('checkpoint name :{}'.format(now_path)) sys.stdout.write('\n') sys.stdout.flush() ckpt_path = os.path.join(log_dir, now_path, 'ckpt', 'ckpt') hypes_path = os.path.join(log_dir, now_path, 'hypes') summary_path = os.path.join(log_dir, now_path, 'summary')
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# Maximum possible unique combinations of chars limit = factorial(len(chars)) while len(combos) < limit: # Generates random string from chars shuffle(chars) tmp = "".join(chars) # Appends tmp to combos list only if it is unique if tmp not in combos: combos.append(tmp)
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from docopt import docopt import requests import os import pandas as pd import os.path
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} fn buy_impl(market: MarketName, share: Share, amount: f64, state: &mut RuntimeState) -> Response { assert!(amount > 0.0); let market = match state.data.markets.get_mut(&market) { Some(market) => market, None => return Response::Error("Market not found"), }; let principal = state.env.caller(); let account = match state .data .profiles .get_mut(&principal)
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"device_id": device_id, "tts": tts }) ) logger.info('IoT Response: ' + json.dumps(response)) return { 'statusCode': 200, 'body': json.dumps('Hello from Lambda!') }
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env: { PORT, HOST, CORS_ORIGIN, DB_HOST, DB_PORT, DB_NAME, DB_USER,
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<div class="support-system-reply-attachments"> <h5><?php _e( 'Attachments', INCSUB_SUPPORT_LANG_DOMAIN ); ?></h5> <ul> <?php foreach ( incsub_support_get_the_reply_attachments() as $attachment_url ): ?>
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QString stop = toch(ui.lineEdit2->text()); char start_str[100]; char stop_str[100];
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loss_pseudo_aux = torch.mean( torch.sum(pseudo_pred_aux * torch.log(pseudo_pred_aux), 1)) # calculating auxiliary pseudo loss loss = loss_main + loss_conf + loss_pseudo_aux * args.lambdaa # adding losses before backpropegation
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<reponame>lexusdrumgold/pcdsa<filename>__tests__/setup.ts<gh_stars>0 import 'jest-extended' /** * @file Jest Global Setup Configuration * @module tests/setup
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public class MaskReader {
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private String issueDescription; private AuthorBean author; private Interval<Date> doseDuration;
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println!("cargo:rustc-link-search=native={}/lib", dst.display()); println!("cargo:rustc-link-search=native={}/lib64", dst.display()); if env::var("CARGO_CFG_TARGET_ENV").unwrap() == "msvc" { println!("cargo:rustc-link-lib=static=nlopt");
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nic_list = get_nic_list()
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<polygon points="31,30 38,35.6 38,24.4"/> <path d="M38,28c-0.3,0-0.7,0-1,0.1v4c0.3-0.1,0.7-0.1,1-0.1c3.3,0,6,2.7,6,6s-2.7,6-6,6s-6-2.7-6-6 c0-0.3,0-0.6,0.1-0.9l-3.4-2.7C28.3,35.5,28,36.7,28,38c0,5.5,4.5,10,10,10s10-4.5,10-10S43.5,28,38,28z"/>
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"""Initialize priorityq.""" self._container = Binheap() def insert(self, val, priority=0): """Insert a val into the queue with an argument for the priority.""" self._container.push((priority, val)) def pop(self): """Remove the most important item from the queue.""" to_return = self._container.container[1][1] if not to_return:
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@Column(name = "__updated_on") @UpdateTimestamp private ZonedDateTime updatedOn;
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__author_email__ = "<EMAIL>" __url__ = "https://github.com/lewisacidic/memoprop" __docs_url__ = "https://github.com/lewisacidic/memoprop" __source_url__ = "https://github.com/lewisacidic/memoprop" __bugtracker_url__ = "https://github.com/lewisacidic/memoprop/issues" __download_url__ = "https://github.com/lewisacidic/memoprop/releases" __classifiers__ = [ "Development Status :: 2 - Pre-Alpha", "Programming Language :: Python :: 3",
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import com.example.order.model.User; import com.example.order.model.request.AddAssetRequest; import com.example.order.model.request.AddTradingPairRequest;
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from . import trajectory_calc
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{ [ApiController, Route("users")] [Authorize(Roles = $"{RoleConstants.STUDENT},{RoleConstants.TEACHER}"), RequiredScope(ScopeConstants.LOGIN)] public class UsersController : ControllerBase { public UsersController(IMediator mediator) { _mediator = mediator; }
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<reponame>joedavis/void-packages export JAVA_HOME=/usr/lib/jvm/oracle-jre
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printf( "Failed to open %s (%s)\n", "libvstdlib" DLL_EXT_STRING, dlerror()); return -1;
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package org.yipuran.json;
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# Qubit, Clbit, AncillaQubit, # QuantumRegister, ClassicalRegister, AncillaRegister, # QuantumCircuit, Result, run, init_backend, transpile, run_transpiled, measure, measure_all # ) # from .vqe import VariationalSolver, VQEFitter
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declare var window: any window.Admin = require("./Admin").Admin
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def __init__(self, coordinates): ComplexModel.__init__(self) self.coordinates = coordinates
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class URLForm(forms.Form):
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@param: items QList<QTreeWidgetItem> '''
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results['invocation']['module_args']['data'] = 'VALUE_SPECIFIED_IN_NO_LOG_PARAMETER' return results
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resolve(1) } once(el, 'transitionend', callback) once(el, 'animationend', callback) window.setTimeout(function () { el.classList.remove(effect + '-leave') el.classList.add(effect + '-leave-to') }, delay) }) }
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public abstract class CliMenu { public string Title { get; private set; } public List<CliMenu> SubMenus { get; private set; } public List<CliFunction> Functions { get; private set; } public CliMenu(string title, List<CliMenu> subMenus, List<CliFunction> functions)
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return traj_pred #np.reshape(traj_pred, (-1, 150)) if __name__ == "__main__": ENCODED_MODEL_PATH = "/home/arshad/Documents/reach_to_palpate_validation_models/encoded_model_regions" PREDICTOR_MODEL = "/home/arshad/Documents/reach_to_palpate_validation_models/model_cnn_rgb_1" image = np.load( "/home/arshad/catkin_ws/image_xy_rtp.npy" ) predictor = Predictor(ENCODED_MODEL_PATH, PREDICTOR_MODEL) traj = predictor.predict(image) np.save("/home/arshad/catkin_ws/predicted_joints_values_rtp.npy", traj) print ("\n Predicted ProMPs weights for RTP task. Joint trajectory is saved in the file. \n Press 'p' to display the trajectory...")
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('user1', models.CharField(max_length=50)), ('user2', models.CharField(max_length=50)), ('name1', models.CharField(max_length=50)), ('name2', models.CharField(max_length=50)), ], ),
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<?php $tags = get_the_tags(); ?> <?php if($tags) { ?> <div class="qodef-tags-holder"> <div class="qodef-tags"> <?php the_tags('', ' ', ''); ?> </div>
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else max=10 fi if ! [ "${max}" -gt 0 ]; then echo >&2 "ERROR: \$max must be > 0" return 1
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n_samples=100, n_features=5, n_informative=4,
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cost_0 = min(m // a * y, m // b * z) n -= m # brute force the b count.
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# valid_post_path="/result/train/segment/dog_person_1/valid/valid_post_grid.csv"
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// { // return AndroidObservables // .WhenIntentReceived(ConnectivityManager.ConnectivityAction)
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file.write(initial_global_data) #reload the global json file results = host.run('stack load json global file=global.json') assert results.rc == 0 # re-dump the data and check that nothing has changed results = host.run('stack dump global') assert results.rc == 0 final_global_data = results.stdout
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list_display = ('human_create_dt', 'human_update_dt', 'name', 'slug') list_display_links = ('name', 'slug') readonly_fields = ('create_dt', 'update_dt') @admin.register(ColorFieldTestModel) class ColorFieldTestModelAdmin(admin.ModelAdmin): list_display = ('required_color', 'optional_color')
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@jax.jit def _linear(x, y):
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from .data_processor import DataProcessor
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for i in range(0,length): for j in range(0,length): for k in range(0,length): if (arr[i]+arr[j]+arr[k] == 2020):
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Print("[ OK ] Hookah Workers DB loaded successful", ConsoleColor.Green); } catch (Exception e) { Print("An error occured while loading hookah workers DB: " + e.Message, ConsoleColor.Red); Console.ReadLine(); return; } try {
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break; case "/home": request.getRequestDispatcher("/static/HTML/employeeHomepage.html").forward(request, response); break; case "/profile": request.getRequestDispatcher("/static/HTML/Profile.html").forward(request, response); break; case "/editProf": request.getRequestDispatcher("/static/HTML/editProf.html").forward(request, response); break;
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HistogramPlotRaw(ax=None, path=self.path).save() def _regression_plot_transf(self): RegressionPlotTransf(ax=None, path=self.path).save() def _histogram_plot_transf(self):
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this.currency$ = this.currencySubject.asObservable(); this.unit$ = this.unitSubject.asObservable(); } setLang(lang: string) { this.languageSubject.next(lang); } setCurrency(unit: string) {
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$content = array_filter($result); } return $content; } } // 旧的wordpress连接微博插件,数据转换 function connect_denglu_update() { global $wptm_basic; @ini_set("max_execution_time", 300); $userdata = ($_SESSION['connect_denglu_update_data']) ? $_SESSION['connect_denglu_update_data'] : connect_denglu_update_data(); // return var_dump($userdata);
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{ var parts = key.Split(':'); if (parts[parts.Length - 1] != networkId) continue; Array.Resize(ref parts, parts.Length - 1); allAccounts.Add(string.Join(":", parts));
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fig = go.Figure()
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GTIRB_BRANCH=${GTIRB_BRANCH:?Please specify the GTIRB_BRANCH} GTIRB_PPRINTER_BRANCH=${GTIRB_PPRINTER_BRANCH:?Please specify the GTIRB_PPRINTER_BRANCH} DDISASM_BRANCH=${DDISASM_BRANCH:?Please specify the DDISASM_BRANCH} rm -rf $DEPLOY_DIR mkdir -p $DEPLOY_DIR function setup_repo { local OS=$1 local CODENAME=$2 mkdir $DEPLOY_DIR/$CODENAME pushd $DEPLOY_DIR/$CODENAME case $OS in
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"""), ('_sigmoid.pyx', r""" import numpy as np cimport numpy as cnp cdef extern void c_sigmoid "sigmoid" (int, const double * const, double * const, double) def sigmoid(double [:] inp, double lim=350.0): cdef cnp.ndarray[cnp.float64_t, ndim=1] out = np.empty(
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[assembly: AssemblyTitle("Nezaboodka.Ndef")] [assembly: AssemblyDescription("Nezaboodka.Ndef")] [assembly: AssemblyConfiguration("")] [assembly: ComVisible(false)] [assembly: Guid("9df7f7e2-f79c-422f-a2f4-86a79d6be672")] // GUID for exposing to COM
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# save scores with open(metrics_file, 'w') as f: json.dump({'threshold': thresholdOpt, "acc": acc, "recall": recall, "f1": fscoreOpt}, f)
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### 1st line allows to execute this script by typing only its name in terminal, with no need to precede it with the python command ### 2nd line declaring source code charset should be not necessary but for exemple pydoc request it
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'[.com\u200b\001\002\003\004\005\006\007\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a]+', '', text) # print(str) tokens = text.lower() # print(tokens) tokens = tokens.split() tokens = [w.strip() for w in tokens if len(w.strip()) > 0 and not w.isdigit()] return tokens,labels with open("/data/tanggp/tmp/Starspace/python/test/tag_space2","r",encoding="utf8") as f: lines=f.readlines()
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from matplotlib.pyplot import figure font = {'family' : 'Times New Roman', 'size' : 28}
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from utils.display import displayWindow from utils.weather import Weather # from utils.train import Wmata # from utils.clock import Clock # weather = Weather() # train = Wmata() w = displayWindow() w.root.mainloop()
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checkPrivilege(user, 'j/l') checkPrivilege(user, 't/l')
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if opt is not None: self.opt = opt root = opt['datasets']['pipal'] patch_num = opt['patch_num'] else: patch_num = 32 refpath = os.path.join(root, 'Train_Ref')
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# # Code by <NAME>
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use App\Common\Validation\RuleValidator\SingleRuleValidator;
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qmake-qt4 input.pro && make clean && make qmake-qt4 output.pro && make clean && make
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self.assertFalse(dpf("abc/bar/some.txt")) # # dpf = rf.directory_pattern_predicate("abc$")
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sign: (e: number) => void; signSchnorr: (e: number) => void; verify: (Q: number, strict: number) => number; verifySchnorr: () => number; } export default instance.exports as unknown as Secp256k1WASM;
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MODULE_NAME = 'headers' def run(): r = requests.get(lib.common.SOURCE_URL) # X-Forwarded-By: if 'X-Powered-By' in r.headers: lib.common.RESULT_ONE_DICT['X-Powered-By'] = r.headers['X-Powered-By']
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* * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0.txt * * 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
<reponame>ajaykrprajapati/django_ems
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arr = arr.astype('int') print(arr)
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use App\Http\Controllers\Controller; use App\Models\Job; use App\Models\Category; use Illuminate\Http\Request; class JobsController extends Controller {
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DEBT_SCORE_CHOICES = [ (GOOD, 'Bueno'), (REGULAR, 'Regular'), (BAD, 'Malo'), (NULL, 'Nulo'), ] id = models.AutoField(primary_key=True, unique=True) first_name = models.CharField('Nombre Completo', max_length=30) last_name = models.CharField('Apellidos', max_length=30) email = models.EmailField('Correo Electronico', unique=True) debt_mount = models.IntegerField( 'Monto de la deuda',
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// Fill out your copyright notice in the Description page of Project Settings.
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public DateTime? Crdt { get; set; } public int? Cruid { get; set; } public DateTime? Dldt { get; set; } public int? Dluid { get; set; } public virtual ICollection<Grant> Grant { get; set; } public virtual ICollection<ManagementUnit> ManagementUnit { get; set; } public virtual User ApprovedBy { get; set; } public virtual User Lmu { get; set; } } }
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# the "end=' '" adds a single space character at the end of Hello starts the next print right next ot it print('cat', 'dog', 'mouse') #the above will have a single space character print('cat', 'dog', 'mouse', sep='ABC') #the above "sep" argument will make ABC show in the spaces instead of a single space character
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# """Return DB Index""" # # return None # # CONNECT TO DATABASE # self.open_connection() # # INCREASE THE BUFFER SIZE IN MYSQL # sql_str = "SET @newsize = 1024 * 1024 * 256" # self.query_commit(sql_str) # sql_str = "SET GLOBAL key_buffer_size = @newsize;" # self.query_commit(sql_str) # # CLOSE DB CONNECTION
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sudo apt-get install helm=$VERSION # Reference: # https://helm.sh/docs/intro/install/#from-apt-debianubuntu
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@section('header_related')
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glm::mat4 roty = glm::rotate(unit, glm::radians(ry), glm::vec3(0.0f, 1.0f, 0.0f)); //printMatrix(roty, "roty"); glm::mat4 rotz = glm::rotate(unit, glm::radians(rz), glm::vec3(0.0f, 0.0f, 1.0f));
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for i in range(10, -1, -1): print('{}'.format(i)) sleep(1) print('Bum, BUM, POW')
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# # Virtual machine tuning # Set heap size according to your available memory. # In most cases this will be all you need to set (be sure # you have allocated plenty for postgres).
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class JsonSerializer(Serializer): def serialize(self, item): return json.dumps(item).encode("utf-8") def deserialize(self, data): return json.loads(data.decode("utf-8"))
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from gsee import brl_model, pv
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for j in xrange(y_len): fname = '{}/{}_{}_{}_sat.png'.format(path, region, x_start + i, y_start + j)
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if v_id == '': print('Something broke.') return
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cpu: Optional[str] class ScriptTemplate(BaseModel): """ Reresents the values available when templating an HPC script. """ job: JobSettings
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fi else upstream_did_change=true git clone ${APNS_TOOLS_REPO} cd apns_tools
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"full_name": "awesome-dev/awesome-repo", "pushed_at": "1970-01-01T00:00:00Z", "archived": False, "description": "Awesome!", "topics": ["awesome"], "default_branch": "master", }
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def list_scores(self, request): """ Scores listing handler.
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killall conky echo "Starting Conky.." start_conky_maia
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text = pytesseract.image_to_string(adaptive_threshold, lang='eng') return text
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./lvtctl.sh RebuildVSchemaGraph printf "\nVitess cluster started successfully.\n\n"
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ngOnInit() { this.getAttachmentButton(); } /** */ getAttachmentButton() { if (this.message && this.message.attributes && this.message.attributes.attachment) { try { this.type = this.message.attributes.attachment.type; // console.log(this.type); } catch (error) { // this.g.wdLog(['> Error :' + error]);
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import sys import platform import shutil import flopy
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deauth = array[5].replace(" ", "") f.close() g = open('/usr/share/csctk/deauth.txt', 'w') g.write(deauth)
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from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('groups', '0003_auto_20151128_1854'),
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svg_generation::render_svg(&"04_01_12".to_owned(), &"return_values".to_owned(), &vd); }
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self.url = url self.session = requests.Session() def get_video(self): headers = { "Host": "xhslink.com", "Upgrade-Insecure-Requests": "1", "Pragma": "no-cache", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) " "Chrome/79.0.3945.88 Safari/537.36" } source_headers = { "cookie": "xhsTrackerId=6e8cc536-0d57-4226-c27c-831a6e51c4cc; xhsuid=6KOIxzWIclOk5WsI; "
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img = np.array([[5, 4, 3, 2, 3], [6, 7, 8, 2, 1], [3, 5, 10, 8, 2], [6, 6, 8, 9, 3], [7, 2, 4, 7, 11]]) print(img) outputs1, outputs2 = CLBP(img) print(outputs1) print(outputs2)
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