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import tensorflow.keras from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Activation, Flatten # from cleverhans.model import Model, NoSuchLayerError import tensorflow as tf from abc import ABCMeta
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finally:
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geopandas.read_file(os.path.join(this_directory, "data/alpha_fifth.gpkg")) .geometry.to_numpy()
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def server(address, port): serv = socket.socket(socket.AF_INET, socket.SOCK_STREAM) serv.bind((address, port)) serv.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
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self.lang_name = lang_name self.lang_code = lang_code
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people: number; week: number; }; };
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}) jest.mock('../src/util/utils') const mockIdentifier = '0x000' const mockInviter1 = '0x0001' const mockInviter2 = '0x0002'
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yield scrapy.Request(url=url, callback=self.parseArticle, headers=self.defaultHeaders) def parseArticle(self, response): yield { 'title': response.css('.artTit::text')[0].extract(), 'content': "".join(response.css('.artText *::text').extract()), 'tag': " ".join(response.css('.artLabel a::text').extract()), }
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public DataAccessException(String msg) { super(msg); } public DataAccessException(Throwable cause) { super(cause); } }
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} return { proxyPrefix, preparePluginFunctions, generatePluginFunctions } }
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ii(0x100c_e183, 5); call(0x1007_02b9, -0x5_decf); /* call 0x100702b9 */ ii(0x100c_e188, 3); test(ax, ax); /* test ax, ax */ ii(0x100c_e18b, 2); if(jnz(0x100c_e18f, 2)) goto l_0x100c_e18f;/* jnz 0x100ce18f */ l_0x100c_e18d: ii(0x100c_e18d, 2); jmp(0x100c_e195, 6); goto l_0x100c_e195;/* jmp 0x100ce195 */ l_0x100c_e18f: ii(0x100c_e18f, 4); mov(memb[ss, ebp - 20], 1); /* mov byte [ebp-0x14], 0x1 */ ii(0x100c_e193, 2); jmp(0x100c_e199, 4); goto l_0x100c_e199;/* jmp 0x100ce199 */ l_0x100c_e195: ii(0x100c_e195, 4); mov(memb[ss, ebp - 20], 0); /* mov byte [ebp-0x14], 0x0 */ l_0x100c_e199:
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:param shuffle: randomize order of files :return: AudioIODataset with tuples (data, label) """
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} } // MARK: - Make Frame
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from . import cif from . import ascii from . import xyz # __all__ = filter(lambda s: not s.startswith('_'), dir())
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def to_expr_string(self) -> str: return self.opkind.to_expr_string() def __str__(self) -> str: return str(self.opkind)
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let ebb3 = Ebb::new(3); let ebb4 = Ebb::new(4); let vals = [ebb1, ebb2, ebb4]; let comp = (); assert_eq!(comp.search(ebb1, &vals), Ok(0)); assert_eq!(comp.search(ebb3, &vals), Err(2)); assert_eq!(comp.search(ebb4, &vals), Ok(2)); }
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def populate_matrix(self, t): treatments = self.sim.treatments[t, :] for i in range(len(self.sim.subclones)): for j in range(len(self.sim.subclones)): fj = np.dot(self.sim.subclones[j].alpha, treatments) fi = np.dot(self.sim.subclones[i].alpha, treatments) # print (self.sim.subclones[j].alpha) # print (treatments) self.matrix[i, j] = fj - fi def print_matrix(self): labs = [s.label for s in self.sim.subclones]
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resize="-resize x${max}" else
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let var_diff = verifier.commit(commitments[1]); let alloc_scal_diff = AllocatedScalar { variable: var_diff, assignment: None, }; let var_diff_inv = verifier.commit(commitments[2]);
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if (argc == 2) { uri = argv[1]; } else if (argc > 2) { std::cout << "Usage: `echo_client test_url`" << std::endl; }
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popDF.set_index('State', inplace=True) population = popDF.loc[stateName, 'Pop'] return population
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description: Init file for 'visit_utils.builtin' module. """ from .evalfuncs import * from .writescript import WriteScript from .convert2to3 import ConvertPy2to3
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} else if (Table.gameState == GameState.Flop) { if (cardsPulled.Count - 1 > turnCard) { Debug.Log("misdeal here"); Services.Dealer.TriggerMisdeal(); } } else if (Table.gameState == GameState.Turn || Table.gameState == GameState.River) { if (cardsPulled.Count - 1 > riverCard) {
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} }
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@section('title', 'Add Startup Script')
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res = { "code": 401, "msg": str(e) } return res
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printf("Address of c: %u\n", &c); printf("Value of c: %d\n\n", c); return 0; }
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The name of the accession files : iterable of str Files associated with the accession **kwargs : keyword arguments Any number of key=value arguments that contain metadata. Returns ------- An accession object
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#include "base.h" #include "cords.h" #include "align_util.h"
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pub mod common;
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// @testable import TrieCollections
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source /home/pi/mavros_catkin_ws/devel/setup.bash source /home/pi/aqua_catkin_ws/devel/setup.bash export ROS_MASTER_URI=http://192.168.2.1:11311 export ROS_IP=192.168.2.2 #export ROS_MASTER_URI=http://blue2shore.clients.wireless.dtu.dk:11311 #export ROS_IP=10.16.154.89
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[SerializeField] private float m_ZeroLiftSpeed = 300; // The speed at which lift is no longer applied. [SerializeField] private float m_PitchEffect = 1f; // The strength of effect for pitch input. [SerializeField] private float m_AerodynamicEffect = 0.02f; // How much aerodynamics affect the speed of the aeroplane. [SerializeField] private float m_AirBrakesEffect = 3f; // How much the air brakes effect the drag. [SerializeField] private float m_ThrottleChangeSpeed = 0.3f; // The speed with which the throttle changes. [SerializeField] private float m_DragIncreaseFactor = 0.001f; // how much drag should increase with speed. [SerializeField] private float m_torqueFactor = 0.1f;
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use casper_contract::contract_api::storage::create_contract_package_at_hash; #[no_mangle] pub extern "C" fn call() { let (contract_package_hash, _) = create_contract_package_at_hash(); let entry_points = cep47::get_entrypoints(Some(contract_package_hash)); cep47::deploy( get_named_arg::<String>("token_name"), get_named_arg::<String>("token_symbol"),
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if (a-c)*(d-f)==(b-d)*(c-e): print('WHERE IS MY CHICKEN?') else: print('WINNER WINNER CHICKEN DINNER!')
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# apply the model to pym pym_predictions = sequential_model.predict(pym_validation) poe_accuracy = sum([probs[0] < 0.5 for probs in pym_predictions]) / len(pym_predictions) nlp_logger.warning("Accuracy for Poe/pym: {:.4f}".format(poe_accuracy)) # Now we have to prepare Tom for validation tom_set = tom.get_base_training_set() tom_validation = Book.one_writer_multi_set(tom_set, sentences_per_sample=3, samples_per_writer=-1, max_sentences_length=208) # apply the model to tom tom_predictions = sequential_model.predict(tom_validation) tom_accuracy = sum([probs[0] > 0.5 for probs in tom_predictions]) / len(tom_predictions)
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from django.shortcuts import redirect from django.urls import clear_url_caches, reverse # Localfolder Library from ...base.models import PyPlugin from .web_father import FatherListView OBJECT_LIST_FIELDS = [ {'string': 'Nombre', 'field': 'name'}, {'string': 'Author', 'field': 'author'}, {'string': 'Description', 'field': 'description'}, {'string': 'Installed', 'field': 'installed'}, ] def Apps(request):
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String owner; // final parameter public void speedUp(final int newSpeed){ // Can't do that // newSpeed *= 2; speed = newSpeed; } public void setOwner(final String newOwner){ // Can't do that // newOwner = "<NAME>"; owner = newOwner;
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/** * Debug context holder interface. By default debugging context stores in ThreadLocal variable {@link DefaultDebugContextHolder} * * @author <NAME> */ public interface DebugContextHolder { /** * Get debug context. * * @return DebugContext */ @Nullable DebugContext getDebugContext();
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flags.DEFINE_float('momentum', 0.9, 'momentum factor') flags.DEFINE_float('stddev', 0.02, 'stddev for W initializer') flags.DEFINE_float('regularization_scale', 0.0001, 'regularization coefficient for W and b')
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except IOError:
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echo $portia_container_id portia_container_pid=`sudo docker inspect --format {{.State.Pid}} $portia_container_id` echo $portia_container_pid sudo nsenter --target $portia_container_pid --mount --uts --ipc --net --pid
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dev_src="../dynet_nmt/data/valid.de-en.de"
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extensions.append( Extension( # "name" defines the location of the compiled module # within the package tree: name='pypkgexample.mymodule_c_with_ctypes.hellofcctyp', # "sources" are the source files to be compiled sources=[('pypkgexample/mymodule_c_with_ctypes/' + '/src/hellofunctions.c')], include_dirs=[('pypkgexample/mymodule_c_with_ctypes' + '/include')],
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nn.LeakyReLU(0.2, inplace=True), nn.Dropout3d(0.25)] if bn: block.append(nn.BatchNorm3d(out_filters, 0.8)) return block if self._has_gaussian_filter: gaussian_weights = torch.distributions.normal.Normal(1, 1).sample( (1, 1, gaussian_kernel, gaussian_kernel, gaussian_kernel))
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/** * 查询所有账户信息 * @return */ public List<Account> findAll(); /** * 保存账户信息 * @param account */
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The gridworld environment to be evaluated. horizon: int The horison of evaluating for given state. The good value is 3. use_segments (optional): bool The flag determines using of segments instead of cells to evaluate empowerment. By default: False. use_memory (optional): bool The flag determines using of the Memory object. Useful only if this object was initialised. By default: False
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public void testfile() throws IOException { Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(getConf()); Path path = new Path("/user/tri1/subgraph/line_fd/part-r-00000"); SequenceFile.Reader reader = null; try { reader = new SequenceFile.Reader(fs, path, conf); Writable key = (Writable) ReflectionUtils.newInstance(reader.getKeyClass(), conf); Writable value = (Writable) ReflectionUtils.newInstance(reader.getValueClass(), conf); long position = reader.getPosition(); while (reader.next(key, value)) { String syncSeen = reader.syncSeen() ? "*" : "";
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if ctx.message.author.id != Config.QT_ID: raise CanNotVerifyQt() return True return commands.check(predicate)
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<filename>setup-env.sh #!/bin/sh export HOST_FQDN=$(kubectl get route knative-eventing-in-mem-demo --output jsonpath='{.status.domain}' -n knative-eventing-in-mem-domain)
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dump_nodes(stub) dump_links(stub) dump_addrs(stub) dump_neighs(stub) dump_routes(stub)
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unzip 3DShapeNetsCode # convert to our format python convert_shapenet10.py 3DShapeNets
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];*/ }
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} func b<T, A : NSObject { let d) -> : A : A? = { class func d.s : C() { } func c: AnyObject) { clas } } } } func k) -> T>(m>: Sequence, q
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RembThrottler remb_throttler(remb_sender.AsStdFunction(), &clock);
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// public function transact($detailTransaksi = null) // { // $this->total = $this->total - $this->logAttribute['debit'] + $this->logAttribute['kredit']; // isset($detailTransaksi->id) ? $this->logAttribute['detail_transaksi_id'] = $detailTransaksi->id :0; // $this->save(); // $this->createLog(); // } }
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setCount(count + 1); }, 1000); return () => clearInterval(timerInterval); } else { setCount(0); } }, [status, count, limit]); const getMinutesAndSeconds = (count: number) => { return { minutes: count >= 60 ? Math.floor(count / 60) : 0,
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@param x {float}: the base number @param n {int}: the power number @return {float}: the result """ def myPow(self, x, n): # write your code here if n == 0: return 1 ans = myPow (x, n // 2) if n % 2 == 0: return ans * ans return ans * ans * x
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final int nStrikes = strikes.length; final double[] res = new double[nStrikes];
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kind='option', options=[ 'Magnitudes', 'Counts (per second)', 'Flux Densities (Jansky)' ], none_string='No Photometry', default='1') # Look for columns that are band names if no mag/counts/flux dens # column was found.
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/// <summary> /// エンドポイント /// </summary> /// <param name="args">引数</param> static void Main(string[] args) { // ログ出力用メソッド名
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return orientationVector(o.phi, o.theta); } McVec3f orientation3intcode::orientationVector(float phiDeg, float thetaDeg) { float phiRad = (phiDeg / 180.0) * M_PI; float thetaRad = (thetaDeg / 180.0) * M_PI; return McVec3f( cos(thetaRad) * cos(phiRad), cos(thetaRad) * sin(phiRad),
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# 获得py文件名 def get_pyname(): global FileNum return 'test_%d' % FileNum # 接收代码写入文件 def write_file(pyname, code): fpath = os.path.join(TempFile, '%s.py' % pyname) with open(fpath, 'w', encoding='utf-8') as f:
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CommonModule, FormsModule, ProductRoutingModule, PaginationModule, SharedModule, EditorModule ], declarations: [ ProductListComponent, ProductComponent, PublicComponent ], exports: [
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(preds, nll) = sample(batch_x, output) nlls = [nll] orig_mask = batch_x[0][4:8].copy() print("Orig mask", orig_mask.shape)
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# for ph in self.ph_ob.values(): # if len(ph.shape.as_list()) == 5: # B,T,H,W,C # logger.info("CnnTarget: using '%s' shape %s as image input" % (ph.name, str(ph.shape))) # xr = ph[:, 1:] # xr = tf.cast(xr, tf.float32) # xr = tf.reshape(xr, (-1, *ph.shape.as_list()[-3:]))[:, :, :, -1:] # xr = tf.clip_by_value((xr - self.ph_mean) / self.ph_std, -5.0, 5.0) # # xr = tf.nn.leaky_relu(conv(xr, 'c1r', nf=convfeat * 1, rf=8, stride=4, init_scale=np.sqrt(2))) # xr = tf.nn.leaky_relu(conv(xr, 'c2r', nf=convfeat * 2 * 1, rf=4, stride=2, init_scale=np.sqrt(2))) # xr = tf.nn.leaky_relu(conv(xr, 'c3r', nf=convfeat * 2 * 1, rf=3, stride=1, init_scale=np.sqrt(2)))
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DevMsg("CTFBotSpawner %08x: add periodic(%f, %f)\n", (uintptr_t)&periodic_tasks, task.cooldown, task.when); periodic_tasks.push_back(task); return true; } void ApplyAddCond(CTFBot *bot, std::vector<AddCond> &addconds, std::vector<DelayedAddCond> &delayed_addconds) {
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func getText() { let text = getTextHandler() print(text) }
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class JenkinsPluginSourceUpToDatenessCollector(SourceUpToDatenessCollector): """Base class for Jenkins plugin source up-to-dateness collectors.""" async def _api_url(self) -> URL: """Extend to return the API URL for the job.""" return URL(f"{await super()._api_url()}/lastSuccessfulBuild/api/json") async def _parse_source_response_date_time(self, response: Response) -> datetime:
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protected $table = 'energy_type';
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di = n1//n2 e = n1 ** n2 print(f'A soma é {s}, o produto é {m} e a divisão é {d}') print(f'Dovosão inteira {di} e potência {e}')
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} else { m_irq->Handle(0); } if (value & GS_CLEAR_STS) { m_Status = 0; m_Index = 0; }
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repository.update(dr_key=id, field='mcqs', data=response['mcqs']) else: api.abort(404, 'Call this API after summary has been generated') return response # Returns response dictionary for McqGenerator Post Request
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weak var delegate: BasePickerCellDelegate? { get set } var title: String? { get set } var property: Property<PropertyType>? { get set } var list: [PropertyType] { get set } } extension TableViewCell {
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#[inline] #[cfg(feature = "tls")] pub fn set_thread_oom_handler(handler: fn() -> !) { // Logging... log!(NOTE, "Setting the thread OOM handler."); THREAD_OOM_HANDLER.with(|thread_oom| { // Replace it with the new handler. let res = thread_oom.replace(Some(handler)); // Throw a warning if it overrides another handler. if res.is_some() { log!(WARNING, "An old thread OOM handler was overriden."); }
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self.testtype = args.testtype if self.testtype == const.SDK: self.sdktype = args.sdktype def run(self): '''
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// Do any additional setup after loading the view. if(self.fact != nil && self.fact?.imageData != nil){ self.image.image = UIImage(data: self.fact!.imageData!) self.date.text = Date(timeIntervalSince1970: self.fact!.date.toDouble).relativeTime
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// // This is an auto-generated file. // struct Course { let id: Int let name: String let courseCode: String let accountId: Int }
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\Auth::user()->unfavorite($itemid); return back();
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export class ContactComponent implements OnInit { user: any; constructor(private githubService: GithubService) {} ngOnInit(): void { this.githubService.getUser("andrewjbateman").subscribe((user) => { this.user = user; }); } }
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urlpatterns = [ path('admin/', admin.site.urls), path('', views.root_view, name='root'), path('home', views.home_view, name='home'), path('register_user', views.register_user_view, name='register_user'), path('logout', views.logout_view, name='logout'), path('get_professors/<str:student_name>', views.get_professors_view, name='get_professors'), path('add_professors', views.add_professors_view, name='add_professors'), path('get_student_info/<str:student_name>', views.get_student_info_view, name='get_student_info'), path('add_grade', views.add_grade_view, name='add_grade'), path('send_thesis', views.send_thesis_view, name='send_thesis'), path('check_thesis/<str:student_name>/<str:doc_hash>', views.check_thesis_view, name='check_thesis'), ]
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"original,suffix,expected", [("smoketest", "test", "smoke"), ("", "test", ""), ("", "", ""), ("test", "", "test")], ) def test_strip_suffix(original, suffix, expected): assert strip_suffix(original, suffix) == expected def test_is_string_type():
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转换成echarts图需要的格式 """ pass def run(self): self.get_graph() self.fill_graph() return self class Report: """ 插件过程的report模式,settings/gdxf/report/xxx.py 继承 Report之后 self.text_title_1 = 在text里面{gd_id1} self.text_bg_2 =
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sed -i 's/<MOOS_BINARY>/<MOOS_BINARY>,/g' $1
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SEMS = { 'BE': 8,
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echo "$LINE" >> "$books_file" case "$LINE" in $book_end*) break ;; esac done echo "" >> "$books_file" echo "" >> "$books_file" echo "" >> "$books_file" done
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$confres=$conf->getAllConf();
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match &body.actions { Add(players) => { for player in players.iter() { tablist_members.insert(player.uuid); }
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# pylint: disable=too-few-public-methods class Params: """Data available in the state""" name: str battery: int = 100 state: str = STATE_IDLE available: bool = True
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import rez.package_order # noqa import rez.package_repository # noqa import rez.package_resources # noqa import rez.package_search # noqa import rez.package_serialise # noqa import rez.package_test # noqa import rez.packages # noqa import rez.plugin_managers # noqa
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export * from './order-item-popup.service'; export * from './order-item.service'; export * from './order-item-dialog.component'; export * from './order-item-delete-dialog.component'; export * from './order-item-detail.component'; export * from './order-item.component'; export * from './order-item.route';
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if r.status_code == requests.codes.ok or r.status_code == 201: # print(r) return r.json() # print('error', r) raise IOError(r.message) return r.message
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@Data @EqualsAndHashCode(callSuper = true) public class CurrencyResponse extends JSONResponse { @JsonProperty("Currency") final double currency; }
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""" timestamp = int(time.mktime(datetime.datetime.now().timetuple())) self.cursor.execute(f"insert into '{self.table_name}' " f"(download_date, filename, file_type, file_md5, fileid_tg, file_size," f" last_usage_date, usage_count)" f"values (?, ?, ?, ?, ?, ?, ?, ?)", (timestamp, filename, file_type, file_md5, fileid_tg, file_size, timestamp, 1)) self.conn.commit()
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self.input_data = {} for input in input_nodes: input_shape = [] for i, dim in enumerate(input.type.tensor_type.shape.dim): if i == 0 and dim.dim_value <= 0 and self.batch_size != 0: input_shape.append(self.batch_size) else: input_shape.append(dim.dim_value) if 1 == input.type.tensor_type.elem_type: # 1 for np.float32 self.input_data[input.name] = np.random.randn(*input_shape).astype(np.float32) # self.input_data[input.name] = np.random.uniform(1, 6, input_shape).astype(np.float32) elif 7 == input.type.tensor_type.elem_type: # 7 for np.int64 / torch.long self.input_data[input.name] = np.random.randint(0, 3, input_shape).astype(np.int64) elif 9 == input.type.tensor_type.elem_type: # 9 for boolean
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gap = int(uniform(5, 20)) x += gap width = int(uniform(10, 40)) height = int(uniform(20, 50)) add_building(pixeldata, x + (width / 2), width, height)
ise-uiuc/Magicoder-OSS-Instruct-75K
@inlinable var isConstructor: Bool { self.contains(.constructor) } /// Return `true` iff this function is a getter @inlinable var isGetter: Bool { self.contains(.getter) } /// Return `true` iff this function is a setter @inlinable var isSetter: Bool { self.contains(.setter) } /// Return `true` iff this function wraps a virtual function
ise-uiuc/Magicoder-OSS-Instruct-75K
{ } }
ise-uiuc/Magicoder-OSS-Instruct-75K
if answer: return answer return 0
ise-uiuc/Magicoder-OSS-Instruct-75K
return not stk
ise-uiuc/Magicoder-OSS-Instruct-75K