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row['full_comment'] = re.sub(r'[.|?,،!؟]', ' ', row['full_comment']) full_comment = row['full_comment'].split() for word in full_comment: # Take out emails, urls and numbers from words if re.match(r'^[-+]?[0-9]+$', word) or re.match(r'https?://(?:[-\w.]|(?:%[\da-fA-F]{2}))+', word) or re.match( r'(?:[a-z0-9!#$%&\'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&\'*+/=?^_`{'
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} else { cell = outlineView.makeView(withIdentifier: NSUserInterfaceItemIdentifier(rawValue: "menuCell"), owner: self, menuItem: menuItem)
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this.encoding = encoding; } }
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data = [line.strip() for line in f.readlines()] print(f"Solution 1: {solution1(data)}") print(f"Solution 2: {solution2(data)}")
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$this->taskLog = $taskLog; } public function execute() { } public function updateTask()
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namespace EveryWorkflow\DataGridBundle\Tests; use EveryWorkflow\DataFormBundle\Factory\FieldOptionFactory; use EveryWorkflow\DataFormBundle\Field\Select\Option; use EveryWorkflow\DataFormBundle\Model\FormInterface; use EveryWorkflow\DataFormBundle\Tests\BaseFormTestCase; use Symfony\Component\DependencyInjection\ContainerInterface; class BaseGridTestCase extends BaseFormTestCase { public function getExampleUserData(): array { $userData = [];
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.map(|path| app_writer().load_config(path)) .transpose()? .map(|app_config| app_config.state) .unwrap_or_else(new_zs::Config::ephemeral); info!(?base_config, "state copy base config");
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<filename>peacebot/core/plugins/Miscellaneous/__init__.py<gh_stars>1-10 import lightbulb from apscheduler.schedulers.asyncio import AsyncIOScheduler from peacebot.core.utils.time import TimeConverter
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plt.axis("off") plt.figure() plt.imshow(back_coloring, interpolation="bilinear") plt.axis("off") plt.show()
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} }; self.write_delta(output, &delta_to_first) } } /// Compare two JSON nodes and returns their `Delta`. fn compare_values<'a>(val1: &'a Value, val2: &'a Value) -> Delta<'a> { match (val1, val2) { (Value::Null, Value::Null) => Delta::Equal(val1), (Value::Bool(_), Value::Bool(_)) => Delta::new(val1, val2), (Value::Number(_), Value::Number(_)) => Delta::new(val1, val2),
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# required inputs (fail early w/ nounset) GIT_BRANCH="${GIT_BRANCH}" DOCKER_USER="${DOCKER_USER}" DOCKER_PASS="${DOCKER_PASS}" APP_ID="${APP_ID}" # ex: /docs-site/docs2-dev DCOS_URL="${DCOS_URL}" # ex: https://leader.mesos DCOS_USER_NAME="${DCOS_USER_NAME}" # ex: docs-bot DCOS_USER_PRIVATE_KEY_PATH="${DCOS_USER_PRIVATE_KEY_PATH}" # ex: docs-bot-private.pem DCOS_CRT="${DCOS_CRT}" # ex: docs-us.crt # optional inputs # CONTAINER_NAME # default: dcos-docs-site ci/site/1-setup-env.sh
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pub fn picker_clear_stash_sys(mut entity_picker: EntityPickerViewMut) -> Option<EntityId> { entity_picker.0.take() } //For debug - don't scissor, or stash, and do draw at the end
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private func ms_sleep(_ ms: Int) { usleep(useconds_t(ms * 1000)) } } private class Caller: CocoaMQTTDeliverProtocol {
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for t in reversed(xrange(s_new.shape[1])): w = F.minimum(s[:, t].reshape(-1, 1), ur) r += V[:, t] * F.broadcast_to(w, V[:, t].shape) x = ur - s[:, t].reshape(-1, 1) ur = F.maximum(Variable(np.zeros_like(x.data)), x) return V, s, r batch_size = 3 stack_element_size = 2 V = Variable(np.zeros((batch_size, 1, stack_element_size))) s = Variable(np.zeros((batch_size, 1)))
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process = subprocess.run('fitdump ./temp/'+filename+' -n device_info -t json', shell=True, check=True, stdout=subprocess.PIPE, universal_newlines=True) output = process.stdout data = json.loads(output) content = {} for i in range(len(data)): index = (data[i]['data']['device_index']) version = (data[i]['data']['software_version']) manufacturer = (data[i]['data']['manufacturer']) serial = (data[i]['data']['serial_number'])
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NO_DEBUG_INFO_TESTCASE = True def test_read_memory_c_string(self): """Test corner case behavior of SBProcess::ReadCStringFromMemory""" self.build() self.dbg.SetAsync(False) self.main_source = "main.c"
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tmpDownloadPath: string, installDir: string, symlinkPath: string }
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config=self.config_path, framework=self.framework,
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return env.add_object(urdf, pose) def add_fixture(self, env): """Add L-shaped fixture to place block.""" size = (0.1, 0.1, 0.04) urdf = 'insertion/fixture.urdf'
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if __name__ == "__main__": amazon = Amazon() dropbox = Dropbox() amazon.get_file("Baba") dropbox.store_file("Baba")
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scene->addChild(layer);
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y2 = np.sin(Y*np.log(n1+1))/np.sin(Y*np.log(n1))*(1+1/n1)**(-1/2) plt.plot(n1,y1) plt.plot(n1,y2) plt.show()
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public show () { element ("popup").prepend (this.tile); this.destructAfter (this.timeout); } public destructAfter (timeout : number) { if (timeout > 0 && timeout < 300) { // from 1 to 300 seconds setTimeout (() => this.delete (), timeout * 1000); } }
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return os.path.join('mnt', 'data', 'resin-data', _get_resin_app_id()) def _get_resin_app_id() -> str: if not config.IS_ROBOT: raise RuntimeError('Resin app id is only available on the pi') p1_env = open('/proc/1/environ').read() # /proc/x/environ is pretty much just the raw memory segment of the # process that represents its environment. It contains a
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* @since 0.1.0 */ export interface IViolation<R, T, S = string | number> { /**
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"--batch_size", type=int, default=16, help="model config: batch size" ) parser.add_argument( "--input_res", type=int, default=512, help="model config: input resloution" ) parser.add_argument("--fp16", action="store_true", help="model config: FP16") args = parser.parse_args() main(args)
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class TestMCT(QiskitAquaTestCase): @parameterized.expand([ [1], [2], [3], [4], [5], [6], [7], ]) def test_mct(self, num_controls): c = QuantumRegister(num_controls, name='c')
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if codestring and codestring[-1] != '\n': codestring = codestring + '\n' try:
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storage, stream, indent=indent, ensure_ascii=ensure_ascii ) elif suffix in [".yml", ".yaml"]: yaml.dump(storage, stream) def type_from_str(dtype: str) -> Type: """Returns type by giving string Args: dtype (str): string representation of type Returns: (Type): type Examples: >>> type_from_str("str")
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desc=progress_prefix+' %s'%epoch, ncols=0) # Iterate through the data set update_sum = dict() # Create empty tensor for each leaf that will be filled with new values for leaf in tree.leaves: update_sum[leaf] = torch.zeros_like(leaf._dist_params) for i, (xs, ys) in train_iter: xs, ys = xs.to(device), ys.to(device) #Train leafs without gradient descent
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kb_seqs_link += kb_seqs labels_link += labels return None, (text_seqs_link, kb_seqs_link, labels_link)
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const { updated, state } = store.update(testUpdate); expect(updated).toBe(false); expect(state).toBeNull(); }); it("should hold state, when synced", function () {
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double *ptr = (double *)buf.ptr; int numObservations = buf.shape[0]; int numFeatures = buf.shape[1];
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public void addEmailAccount(EmailAccount emailAccount){ emailAccounts.add(emailAccount); EmailTreeItem<String> treeItem = new EmailTreeItem<String>(emailAccount.getAdress()); treeItem.setGraphic(iconResolver.getIconForFolder(emailAccount.getAdress())); FetchFoldersService fetchFoldersService = new FetchFoldersService(emailAccount.getStore(),treeItem, folderList); fetchFoldersService.start(); foldersRoot.getChildren().add(treeItem); } public void setRead() { try { selectedMessage.setRead(true);
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* * for int i <- 0; if i is lower than array length; i++ * if array[i] is not equal to clone[i] * count++ * end if * end for *
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self.filename = filename if filename is not None: filexml = minidom.parse(filename) # we have no use for all the xml data in the file. We only care # about what is between the "description" tags templatedata = filexml.getElementsByTagName('templatedata') if len(templatedata): desc_xml = templatedata[0]
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Implementation of whole image prediction with variable overlap.
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self.skimage = skimage self.np = np self.model = None self.prep_image = None self.orig_image = None @staticmethod def __extact_alpha_channel__(image): """ Extracts alpha channel from RGBA image :param image: RGBA pil image :return: RGB Pil image """ # Extract just the alpha channel
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swamp_prob = CardDrawnProbability(80, swamps, 7, 3, turn, 1) print("swamp prob on turn: ", swamp_prob)
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"nonce": nonce, "aud": "aud2", "acr": "http://mockauth:8000/LoginHaka", "nsAccountLock": "false", "eduPersonScopedAffiliation": "<EMAIL>;<EMAIL>", "auth_time": 1606579533, "name": f"{user_given_name} {user_family_name}", "schacHomeOrganization": "test.what", "exp": 9999999999, "iat": 1561621913, "family_name": user_family_name,
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foreach ($refClass->getProperties() as $refProperty) { $propertyName = $refProperty->getName(); foreach (self::$reader->getPropertyAnnotations($refProperty) as $annotation)
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<reponame>PaperDevil/pyconfigger<gh_stars>1-10 import os splited_path = os.path.realpath(__file__).split('\\')[:-1] fish_path = '\\'.join(splited_path) fish_json_name = "fish.json" fish_json_path = os.path.join(fish_path, fish_json_name)
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if ((Path.GetExtension(file) != ".jpg") && (Path.GetExtension(file) != ".png")) continue; var label = Path.GetFileName(file);
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name: 'youtube', viewBox: '0 0 20 20', icon: `<path d="M15,4.1c1,0.1,2.3,0,3,0.8c0.8,0.8,0.9,2.1,0.9,3.1C19,9.2,19,10.9,19,12c-0.1,1.1,0,2.4-0.5,3.4c-0.5,1.1-1.4,1.5-2.5,1.6 c-1.2,0.1-8.6,0.1-11,0c-1.1-0.1-2.4-0.1-3.2-1c-0.7-0.8-0.7-2-0.8-3C1,11.8,1,10.1,1,8.9c0-1.1,0-2.4,0.5-3.4C2,4.5,3,4.3,4.1,4.2 C5.3,4.1,12.6,4,15,4.1z M8,7.5v6l5.5-3L8,7.5z" />`
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namespace LicenseManager.Infrastructure.Services { public interface IUserService { Task<IEnumerable<UserDto>> BrowseAsync(); Task<UserDto> GetAsync(Guid userId); Task<UserDto> GetAsync(string name, string surname); Task AddAsync(string name, string surname); Task RemoveAsync(Guid userId); Task UpdateAsync(Guid userId, string name, string surname); } }
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/// <summary> /// Officially assigned birth number /// </summary> BirthNumber, /// <summary> /// Officially assigned replacement number /// </summary>
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override func viewDidLoad() { super.viewDidLoad() // Do any additional setup after loading the view. } override func didReceiveMemoryWarning() { super.didReceiveMemoryWarning()
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$defaultColor = '#F7786B'; $primaryColor = esc_html( get_theme_mod( 'sentry-color', $defaultColor ) ); $defaultFontSize = '16'; $fontSize = absint( get_theme_mod( 'article_font_size', $defaultFontSize ) ); $fontSizeH2 = absint( $fontSize*1.25); $contentHeadlineStyle = "default"; $output = ''; $output .= "body#tinymce a{ color: {$primaryColor};}";
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ctx.project_description = {"text": "bold description", "bold": True} ctx.project_author = "Fizzy" ctx.project_version = "1.2.3" ctx.data.description = ["override for ", {"text": "data pack", "color": "red"}]
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integer i=3 { i+=4;} 2> /dev/null if (( i != 7 )) then err_exit '3+4!=7' fi iarray=( one two three ) { iarray+= (four five six) ;} 2> /dev/null if [[ ${iarray[@]} != 'one two three four five six' ]] then err_exit 'index array append fails' fi unset iarray iarray=one { iarray+= (four five six) ;} 2> /dev/null if [[ ${iarray[@]} != 'one four five six' ]] then err_exit 'index array append to scalar fails'
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import math import numpy as np import matplotlib.pyplot as plt #Constants GNa = 120 #Maximal conductance(Na+) ms/cm2 Gk = 36 #Maximal condectance(K+) ms/cm2 Gleak = 0.3 #Maximal conductance(leak) ms/cm2 cm = 1 #Cell capacitance uF/cm2 delta = 0.01 #Axon condectivity ms2 ENa = 50 #Nernst potential (Na+) mV Ek = -77 #Nernst potential (K+) mV Eleak = -54.4 #Nernst potential (leak) mV
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while guess != secret_word and guess_count < guess_limit: guess = input("Enter guess: ") guess_count += 1 if guess_count < guess_limit: print("Out of Guesses, You Lose!")
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// RUN: not %target-swift-frontend %s -typecheck var e: Int -> Int = { return $0 struct d<f : e, g: e where g.h = f.h> { : C { func g<T where T>(f: B<T>) { } }
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return mask def to_gpu(x): x = x.contiguous()
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file_path: &Path, requested_bps: &[SourceBreakpoint], ) -> Result<Vec<Breakpoint>, Error> { let BreakpointsState { ref mut source, ref mut breakpoint_infos, .. } = *self.breakpoints.borrow_mut(); let file_path_norm = normalize_path(file_path); let existing_bps = source.entry(file_path.into()).or_default(); let mut new_bps = HashMap::new();
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edges.show()
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long_description=LONG_DESCRIPTION, install_requires=[ 'numpy', 'numba', 'scipy', 'hdbscan' ], classifiers=[ 'Programming Language :: Python',
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</div> <!-- sidebar menu: : style can be found in sidebar.less --> <ul class="sidebar-menu" data-widget="tree"> <li class="header">Hlavné menu</li> <li> <a href="/brigady"> <i class="fa fa-dashboard"></i> <span>Úvod</span> <span class="pull-right-container"> </span> </a>
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print("[INFO] Processing image: {}/{}".format(ind, len(imagePaths))) # load the image image = cv2.imread(imagePath) # resize the image image = imutils.resize(image, width=300) # copy the image image_copy = image.copy()
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from .app import app
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for _ in range(num_samples)] # Begin the benchmark start_time = datetime.datetime.now()
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ALL_CLUSTER_NETTAGS=$(gcloud compute instances list --format=json | jq -r '.[].tags.items[0]' | uniq | awk -vORS=, '{ print $1 }' | sed 's/,$/\n/') # allow direct traffic between pods in both gcp and onprem clusters gcloud compute firewall-rules create istio-multicluster-pods \ --allow=tcp,udp,icmp,esp,ah,sctp \ --direction=INGRESS \ --priority=900 \ --source-ranges="${ALL_CLUSTER_CIDRS}" \ --target-tags="${ALL_CLUSTER_NETTAGS}" --quiet echo "🔥 Updating onprem firewall rule to support discovery from GCP Istio..." # update onprem firewall rule to allow traffic from all sources
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<reponame>sommoMicc/react-simple-keyboard<gh_stars>100-1000
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let packet = packets.next().expect("peeked"); match packet.tag() { $( Tag::$subkey_tag => { let subkey: $inner_subkey_type = err_opt!(packet.try_into()); let mut sigs = Vec::new(); while let Some(true) = packets.peek().map(|packet| packet.tag() == Tag::Signature) { let packet = packets.next().expect("peeked"); let sig: Signature = err_opt!(packet.try_into()); sigs.push(sig); }
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# Create a speech recognizer recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config) # Connect up the recognized event
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y1 = min(self.start_pos.y, self.end_pos.y)
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frame = inspect.currentframe(1) self = frame.f_locals['self'] methodName = frame.f_code.co_name method = getattr(super(cls, self), methodName, None) if inspect.ismethod(method): return method(*args, **kwargs) super = classmethod(super)
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await self.container.execute_async( self.container.solve(Dependant(callback)) )
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_TEST_UID = 10000 _TEST_FILE = 'file' _OWNER_GROUP_RE = re.compile(r'^group::([r-][w-][x-])$', re.MULTILINE) @pytest.mark.parametrize('mode,user_perms,group_perms', [ ('770', 'r-x', 'rwx'), ('640', 'r--', 'r--')]) def test_set_unset_uids_file(uids: list[int], target_file: str, mode: str, user_perms: str, group_perms: str) -> None: owner_gid = os.stat(target_file).st_gid subprocess.run(('chmod', mode, target_file), check=True) set_uids(target_file, uids) result = subprocess.run(
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class Client: @staticmethod def request(method: str, url: str, **kwargs) -> Response: """ Request method method: method for the new Request object: GET, OPTIONS, HEAD, POST, PUT, PATCH, or DELETE. # noqa url – URL for the new Request object. **kwargs: params – (optional) Dictionary, list of tuples or bytes to send in the query string for the Request. # noqa json – (optional) A JSON serializable Python object to send in the body of the Request. # noqa headers – (optional) Dictionary of HTTP Headers to send with the Request. """ return requests.request(method, url, **kwargs)
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df.loc[df['response_hand'] == 2, 'response_hand'] = 'right' df.to_csv(tsv, sep='\t', index=False)
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* \brief Access the handled value. * * \return handle as \c float without conversion. */ explicit constexpr operator T() const noexcept; /** * \brief \e Cast operator to \c Degree with proper conversion. * * \return \c Degree converted from \c Radian.
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result_dict[anchor_time].append((anchor_freq, point[1], point[0] - anchor_time)) return result_dict
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self.write(cmd) return self.check() def check(self): """Checks and returns the board response for a single command.""" rsp = self.read().split(maxsplit=1) if rsp[0] == 'NAK': self.write('RST') self.read() print(f'ERR: {rsp[1]}') sys.exit(1)
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count = longest(frac) if count > maxi: maxi = count maxidx = d print '%d : %d' % (d, maxi) print maxidx
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XCTAssertEqual(Product.uiTests.toJSON().toString(), "\"uiTests\"") XCTAssertEqual(Product.appExtension.toJSON().toString(), "\"appExtension\"") XCTAssertEqual(Product.watchApp.toJSON().toString(), "\"watchApp\"") XCTAssertEqual(Product.watch2App.toJSON().toString(), "\"watch2App\"") XCTAssertEqual(Product.watchExtension.toJSON().toString(), "\"watchExtension\"") XCTAssertEqual(Product.watch2Extension.toJSON().toString(), "\"watch2Extension\"") XCTAssertEqual(Product.tvExtension.toJSON().toString(), "\"tvExtension\"") XCTAssertEqual(Product.messagesApplication.toJSON().toString(), "\"messagesApplication\"") XCTAssertEqual(Product.messagesExtension.toJSON().toString(), "\"messagesExtension\"")
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// 在运行每个测试之前,使用 TestInitialize 来运行代码 // [TestInitialize()] // public void MyTestInitialize() { }
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if (parameters.Length > 0 && parameters[0] is string message) GetClient(@this).SendServerMessage(message); return NetUndefined.Instance; } } }
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cd tapyrus-$HOST ./configure --cache-file=../config.cache $BITCOIN_CONFIG_ALL $BITCOIN_CONFIG || ( cat config.log && false) make $MAKEJOBS $GOAL || ( echo "Build failure. Verbose build follows." && make $GOAL V=1 ; false ) if [ "$RUN_TESTS" = "true" ]; then LD_LIBRARY_PATH=${GITHUB_WORKSPACE}/depends/$HOST/lib make $MAKEJOBS check VERBOSE=1; fi if [ "$RUN_BENCH" = "true" ]; then LD_LIBRARY_PATH=${GITHUB_WORKSPACE}/depends/$HOST/lib $OUTDIR/bin/bench_tapyrus -scaling=0.001 ; fi if [ "$TRAVIS_EVENT_TYPE" = "cron" ]; then extended="--extended --exclude feature_pruning,feature_dbcrash"; fi if [ "$DEBUD_MODE" = "true" ]; then debugscripts="--debugscripts"; fi if [ "$RUN_TESTS" = "true" ]; then test/functional/test_runner.py --combinedlogslen=4000 --coverage --failfast --quiet ${extended} ${debugscripts}; fi
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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 # # 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. # ============================================================================== def utf_detection_logic(detection_list): # todo: Add a logic to account for cases were two top ranked items are too close
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email = request.args.get('email', '') is_new_user = 'recover' not in request.args if request.method == 'POST': captcha_passed, captcha_error_message = verify_captcha() email = request.form['email'].strip() if utils.is_invalid_email(email): flash(gettext('The email address is invalid.')) elif not captcha_passed: flash(captcha_error_message) else: computer_code = get_computer_code() computer_code_hash = utils.calc_sha256(computer_code) user = User.query.filter_by(email=email).one_or_none() if user:
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class PostTokenizer: def __init__(self, lif_filename, ann_filename): self.input_filename = lif_filename self.ann_filename = ann_filename self.lif_loader = LifFileParser(lif_filename) def load_ann(self): ann_file = open(self.ann_filename) self.ann_data = json.load(ann_file) def extract_tag(self): annotations = self.lif_loader.loadAnnotation("Token") annotations = parse_hyphen(annotations)
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contact_form = ContactForm(request.POST) if contact_form.is_valid(): return HttpResponseRedirect('/thanks/') else: contact_form = ContactForm(auto_id=False) context = { "form": contact_form }
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title: string; tags: string; body: string; position?: Vector2; colorID?: number; } export const dialogue: Record<string, DialogueNode[]> = { dialogue: dlg };
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def request(url): try:
ise-uiuc/Magicoder-OSS-Instruct-75K
def __init__(self, env: 'HttpdTestEnv'): super().__init__(env=env) self.add_source_dir(os.path.dirname(inspect.getfile(TlsTestSetup))) self.add_modules(["tls", "http2", "cgid", "watchdog", "proxy_http2"]) class TlsCipher: def __init__(self, id: int, name: str, flavour: str, min_version: float, max_version: float = None, openssl: str = None): self.id = id
ise-uiuc/Magicoder-OSS-Instruct-75K
if "workload" in os.environ: self.args.workload = os.environ["workload"] if "num_records" in os.environ: self.args.recordcount = os.environ["num_records"] if "num_operations" in os.environ: self.args.operationcount = os.environ["num_operations"] def run(self): ycsb_wrapper_obj = Trigger_ycsb(self.args) yield ycsb_wrapper_obj
ise-uiuc/Magicoder-OSS-Instruct-75K
ax2.set_ylabel('Superficial feed velocity [m/s]') ax2.set_xlabel('Cycle time [h]')
ise-uiuc/Magicoder-OSS-Instruct-75K
String request= "KafkaTest-Request:" + key; try { kAdapter.directInvoke(producerProps, request, 0, recordProps); } catch (AdapterException | ConnectionException e) { // TODO Auto-generated catch block
ise-uiuc/Magicoder-OSS-Instruct-75K
def test_future_value_annuity_semi_annual(): test_e = FutureValue(200000, 6.7, 10, 6, True) assert round(test_e.calculate()) == 5569558.0, "Should be $5,569,558"
ise-uiuc/Magicoder-OSS-Instruct-75K
#[derive(Clone, Deserialize, Debug)] pub struct ValidatorConfig { /// Address of the validator (`tcp://` or `unix://`) pub addr: net::Address, /// Chain ID of the Tendermint network this validator is part of pub chain_id: chain::Id, /// Automatically reconnect on error? (default: true) #[serde(default = "reconnect_default")] pub reconnect: bool, /// Path to our Ed25519 identity key (if applicable) pub secret_key: Option<PathBuf>,
ise-uiuc/Magicoder-OSS-Instruct-75K
#!/bin/bash #mkdir -p pubchem #cd pubchem #wget -r -A ttl.gz -nH --cut-dirs=2 ftp://ftp.ncbi.nlm.nih.gov/pubchem/RDF/substance/pc_substance2compound* #wget -r -A ttl.gz -nH --cut-dirs=2 ftp://ftp.ncbi.nlm.nih.gov/pubchem/RDF/substance/pc_substance2descriptor*
ise-uiuc/Magicoder-OSS-Instruct-75K
mod link_style; mod sectionmap; pub use clog::Clog; pub use link_style::LinkStyle; pub use sectionmap::SectionMap; // The default config file const CLOG_CONFIG_FILE: &'static str = ".clog.toml";
ise-uiuc/Magicoder-OSS-Instruct-75K
cleared = false; } void drawable_rectangle::clear() { if (cleared) return;
ise-uiuc/Magicoder-OSS-Instruct-75K
let _ = bind::SDL_SetClipRect(surface.as_ptr().as_ptr(), &raw_rect as *const _); } Self { surface, area } } }
ise-uiuc/Magicoder-OSS-Instruct-75K
// name: "RulesDSL", // targets: ["RulesDSL"]) ], dependencies: [ // Dependencies declare other packages that this package depends on. // .package(url: /* package url */, from: "1.0.0"), // .package(url: "https://github.com/Realm/SwiftLint", from: "0.28.1") ],
ise-uiuc/Magicoder-OSS-Instruct-75K
#!/bin/bash export OLDNVMIMMUSRC=$PWD export DBBENCH=$OLDNVMIMMUSRC/build export TEST_TMPDIR=/mnt/ssd export TEST_MEMDIR=/mnt/pmemdir #DRAM buffer size in MB export DRAMBUFFSZ=4 #NVM buffer size in MB
ise-uiuc/Magicoder-OSS-Instruct-75K
from operator import add from pyspark.sql import SparkSession def computeContribs(urls, rank):
ise-uiuc/Magicoder-OSS-Instruct-75K
def select(): backend = get_backend() selection_id = int(request.args.get('selection')) if selection_id == -1: return selected_item = backend.select(userid(), selection_id) ordered_item = backend.schema.get_ordered_item(selected_item) displayed_message = format_message("You selected: {}".format(", ".join([v[1] for v in ordered_item])), True) return jsonify(message=displayed_message)
ise-uiuc/Magicoder-OSS-Instruct-75K
for steps in 200000 300000; do for model in annealedvae betavae betatcvae factorvae dipvae_i dipvae_ii; do bsub -g /disent_baseline -R "rusage[mem=16000,ngpus_excl_p=1]" \ python baselines/train_baseline.py --base_dir exp_steps_full1/steps_"$steps" \ --output_dir steps_"$steps"_n_4 --dim 64 --model "$model" --seed "$seed" \ --steps "$steps" done done
ise-uiuc/Magicoder-OSS-Instruct-75K