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class GcsFolderDestination(proto.Message): r"""Export folder destination of the data. Attributes: output_folder_uri (str): Required. Cloud Storage directory to export data to. """ output_folder_uri = proto.Field( proto.STRING,
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SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" sessionPath=$(curl -s -i -X POST http://localhost:8080/challenge-response/v1/newSession?nonceSize=32 | grep Location | cut -f2 -d: | tr -d ' \r')
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const result = await fetch(`${baseUrl}/${url}`, { method, headers: { 'Content-Type': 'application/json', }, signal, ...rest, }); let resultData = result.headers.has('Content-Type') && !result.headers.get('Content-Type')?.trim()?.startsWith('application/json') ? await result.text() : await result.json();
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"label": "열어보기", "messageText": "짜잔! 우리가 찾던 보물입니다" }, { "action": "webLink", "label": "구경하기", "webLinkUrl": "https://e.kakao.com/t/hello-ryan" } ] } ] }
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encoder_mask=prev_state["encoder_mask"], num_spaces=num_spaces, batch_id=batch_ids, encoder_outputs=prev_state["encoder_outputs"], ) if post_process is not None: logits = post_process(out, model_inputs) else: logits = out.logits logits = logits.squeeze(1) cur_const = allowed_words_mat[batch_ids, num_spaces] if banned_tensor is not None: # Remove word pieces that would result in generating a banned (aka already-guessed) word
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if (!m_module && m_AlternativeLoad && IsAbsolutePath(m_name)) { m_module.reset(LoadLibraryEx(m_name.c_str(), nullptr, LOAD_WITH_ALTERED_SEARCH_PATH)); } }
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/// 刷新 public func reload() { if let request = self.originalRequest { self.loadRequest(request) } } public func setupProgress() { let progressView = UIProgressView(frame: .zero) self.progressView = progressView self.webView.addSubview(progressView)
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if ($total_row > 0) { $output = ''; $thead = " <tr class='thead-dark'> <th>رقم التسجيل</th> <th>إسم الكابتن</th> <th>الجنسية</th> <th>رقم الهاتف</th>
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if self.access_token: self.access_retrieve_time = time.time() else: self.access_retrieve_time = 0 if self.refresh_token: self.refresh_retrieve_time = time.time() else: self.refresh_retrieve_time = 0 # expiration tracking can be improved if we use JWT # but avoiding it now for simplicity and # to avoid another dependency
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return ( u'Translated(src={src}, dest={dest}, text={text}, pronunciation={pronunciation}, ' u'extra_data={extra_data})'.format( src=self.src, dest=self.dest, text=self.text, pronunciation=self.pronunciation, extra_data='"' + repr(self.extra_data)[:10] + '..."' ) )
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export * from './roles.component'; export * from './role.component'; export * from './manager.component';
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void log6(LogId id, KVLogList kv_list) override {
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// confirm that we received the test message when calling get_message println!("This is the message that we store: {}", contract.get_message(String::from("foo.near"))); assert_eq!(String::from("love message"), contract.get_message(String::from("foo.near"))); } #[test] fn get_message() { let context = VMContextBuilder::new(); testing_env!(context.build()); let m = "love Message"; let mut contract = Messages { message_map: LookupMap::new(b"l".to_vec()) }; contract.message_map.insert(&String::from("foo.near"), &String::from("love Message")); println!("Value retrieved: {}", contract.get_message(String::from("foo.near")));
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elif self.params['shuffle']: np.random.shuffle(choices) # duplication is required for triplet loss at least. duplicated_choices = [] for choice in choices: for _ in range(self.params['duplicate_n_times']): duplicated_choices.append(int( np.random.choice( self.images_indexes_per_class[self.labels[choice]],
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index = 0 print 'input file is {0} with {1} lines \n'.format(fname,cnt) with open(fname) as fp: for line in fp: ds[index] = float(line) index += 1
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* User: hemengyuan * Date: 16/1/4
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import javax.swing.table.DefaultTableCellRenderer; import models.User; public class CustomerFrame extends JFrame {
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} #[doc = r" Clears the field bit"] pub fn clear_bit(self) -> &'a mut W { self.bit(false) }
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# Radar # ~~~~~~~~~~~~~~~~~~~~~ # Put radar on car. The radar will be created relative to the car coordinate system. radar1 = app.create_sbr_radar_from_json( radar_file=radar_lib, radar_name="Example_1Tx_1Rx", offset=[2.57, 0, 0.54], use_relative_cs=True, relative_cs_name=car1.cs_name, ) ############################################################################### # Setup and validation # ~~~~~~~~~~~~~~~~~~~~~
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13. Pull image(ImagePA) from project(PA) by robot account(RA), it must be not successful; 14. Push image(ImageRA) to project(PA) by robot account(RA), it must be not successful; 15. Delete robot account(RA), it must be not successful.
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echo "$0 <target_dir> <config_file>" exit 1 fi TARGET_DIR=$1 CONFIG_FILE=$2 set -ex multistrap --no-auth -a arm64 -d $TARGET_DIR -f $CONFIG_FILE find $TARGET_DIR/usr/lib/aarch64-linux-gnu -lname '/*' -printf '%p %l\n' | while read link target; do ln -snfv "../../..${target}" "${link}"; done find $TARGET_DIR/usr/lib/aarch64-linux-gnu/pkgconfig -printf "%f\n" | while read target; do ln -snfv "../../lib/aarch64-linux-gnu/pkgconfig/${target}" $TARGET_DIR/usr/share/pkgconfig/${target}; done
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export const CategorySchema = SchemaFactory.createForClass(Category)
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useExchangeModalsStore, useExchangeModalsDispatch, } from '../../../context'; export const useUpdateSupplyModalEffects = () => { const { updateSupply } = useExchangeModalsStore(); const dispatchModals = useExchangeModalsDispatch(); const isOpen = updateSupply?.open; const handleModalClose = () => { dispatchModals({ type: ExchangeModalsActionsEnum.SHOW_UPDATE_SUPPLY,
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<reponame>p2pu/learning-circles # -*- coding: utf-8 -*- # Generated by Django 1.11.6 on 2019-07-10 06:05 from __future__ import unicode_literals
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EXPECT_GE(num_labels, num_major_ticks - 1); } EXPECT_LE(num_labels, num_major_ticks + 1); // Boxes: One box per each label + Background box + margin box. EXPECT_EQ(num_boxes, num_labels + 2); // Everything should be between kZValueTimeBar and kZValueTimeBarLabel. EXPECT_TRUE(mock_text_renderer_.IsTextBetweenZLayers(GlCanvas::kZValueTimeBar, GlCanvas::kZValueTimeBarLabel)); EXPECT_TRUE(mock_batcher_.IsEverythingBetweenZLayers(GlCanvas::kZValueTimeBar, GlCanvas::kZValueTimeBarLabel));
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private static final long serialVersionUID = -911790554283478225L; private short count; public ShortContainer(short count) { this.count = count; } public void inc() { count++; } public void dec() { count--; } public void inc(short n) { count += n; }
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if [[ ! -f ".env" ]] then echo "Error: .env not found." cp .env.example .env fi /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
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), ]
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} let mut input = input.clone(); for (i, n) in caves.iter().enumerate() { input = input.replace(n, &i.to_string()); } let mut tunnels: Vec<Vec<usize>> = Vec::new(); for _ in caves { tunnels.push(Vec::new()); } for line in input.lines() { let c: Vec<usize> = line.split("-").map(|c| c.parse().unwrap()).collect();
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def lncp(source, dest): ''' Symlink or copy if that fails. Should work for Linux and Windows Parameters ---------- source : str The Source dest : str The Destination ''' if os.path.isdir(dest): dest = os.path.join(dest, os.path.basename(source))
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elif encode == 'oct': dec = oct_dec(src) elif encode == 'bin': dec = bin_dec(src) # dec to target if decode == 'raw': target = dec_raw(dec) elif decode == 'b64': target = dec_b64(dec) elif decode == 'hex':
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unique_classes = set(labels) for ts, label in zip(timeseries, labels): timeseries_per_class[label].append(ts) random_samples = {} for c in unique_classes: random_idx = np.random.choice(
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public interface IRemoteObjectsRecord { void Register(object obj); void DestroyByType<T>(Func<T, bool> condition) where T:class;
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<Query virtualSchemaName = "default" formatter = "TSV" header = "1" uniqueRows = "0" count = "" datasetConfigVersion = "0.6" > <Dataset name = "hsapiens_gene_ensembl" interface = "default" > ''' + '\n'.join(['<Attribute name = "{}" />'.format(f) for f in fields]) + ''' </Dataset> </Query>''' def parse_args(): parser = argparse.ArgumentParser( description="Download ensemble reference"
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public void setSpqrMetrics(SPQRNodeMetricsConfiguration spqrMetrics) { this.spqrMetrics = spqrMetrics; } }
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var outsideInvoked: Bool = false @discardableResult public override func relay(changes: Changes<Value>) -> Bool { guard super.relay(changes: changes) else { return false } bondingRelay?.relay(changes: changes) return true } @discardableResult public func bonding(with twoWayRelay: TwoWayRelay<Value>) -> Self { addNext(relay: twoWayRelay)
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return ( <Pane display="flex" flexDirection="row"> <Pane> <SidebarNavigation /> </Pane> <Pane width="100%"> <NestedRoutes route={route} /> </Pane> </Pane>
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namespace Terraria.Enums { [Flags] public enum AnchorType { None = 0, SolidTile = 1, SolidWithTop = 2,
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quadrado.retornar_valor_lado(3) print('----------------') print('Total da area ficou em :') quadrado.calcular_area(3)
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#data = imaging.nonlinearity(data, "gamma").by_value(1/2.2, [0, 65535]) # gamma by table # data = imaging.nonlinearity(data, "gamma").by_table("tables/gamma_2.4.txt", "gamma", [0, 65535])
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private:
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input_data = np.concatenate([payoff_matrix_split[x] for x in selected_indices]).astype(np.float32) input_prob = np.concatenate([col_prob_split[x] for x in selected_indices]).astype(np.float32) input_action = np.concatenate([col_action_split[x] for x in selected_indices]).astype(np.uint8) self.input_data = torch.from_numpy(input_data) self.input_prob = torch.from_numpy(input_prob)
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# The reason we need nest_asyncio is that we run multiple event loops in a # single thread, that's not allowed. The future work should be create a new # thread for each event loop so we can get rid of nest_asyncio import nest_asyncio nest_asyncio.apply() from .teeport import Teeport
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emit: (type: string, data?: T) => any; destory: () => any; } export type WcListFilterHandler<T = any> = (item: T, index: number, list: T[]) => any;
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# delimiters # Outputs: # tns build ios ## build_ios_release () { local -r key_name='ios' local -r tns='tns build ios --release --for-device' local -r key_content="$(get_key_value "${main_key_content}" "${key_name}" "{" "}")" local -r options="$(get_key_value "${key_content}" "options" "${delimiters}" "${delimiters}")" local -r formatted_options="$(get_formatted_options "${options}")" local -r file_name="$(get_file_name "${key_name}" "${options}")"
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boxes_list, scores_list, labels_list = collect_boxlist(preds_set, cur_id) if fusion_type == 'nmw': boxes, scores, labels = non_maximum_weighted(boxes_list, scores_list, labels_list, weights=weights, iou_thr=iou_thr, skip_box_thr=skip_box_thr) elif fusion_type == 'wbf': boxes, scores, labels = weighted_boxes_fusion(boxes_list, scores_list, labels_list, weights=weights, iou_thr=iou_thr, skip_box_thr=skip_box_thr) ids = np.tile(cur_id, (boxes.shape[0], 1)) cur_boxes = np.concatenate((np.expand_dims(scores, 1), boxes[:,[0,2,1,3]]), 1) if len(all_boxes): all_boxes = np.append(all_boxes, cur_boxes, 0)
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"--disable-scripts", "--disable-doc" ) _make = bb.watch(make) _make("CC=" + str(clang), "clean", "all")
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case Token::IDENTIFIER: case Token::PARENTHESES_O: nodent = expression(); break; default: Error(); break; } return nodent; } If* Syntactic::Selection_S() { If* nodeif = new If();
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"""Marks the size parameters in the metadata.""" for param in parameters: mechanism = common_helpers.get_size_mechanism(param)
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extension Presenter { private static var didImportPlugins = false
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annotations, *_ = annotate_args_kwargs(script_fun, new_args, new_kwargs) for annot in annotations: print(annot) # CHECK: Torch Tensor (shape=(-1, 3, 32, 32), dtype=torch.float32) # CHECK: Torch Tensor (shape=(-1, 3, 32, 32), dtype=torch.float32)
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this.label = label; } public URI getOntologyId() { return this.ontologyId; }
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final class ListTableViewController: UITableViewController { // MARK: - Property private let list: [String] = ["Normal", "Scroll"] // MARK: - Life Cycle override func viewDidLoad() { super.viewDidLoad() self.navigationItem.title = "UPsSegmented"
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raise api.update_with_media("temp_image.jpg", status=f"#{hex_number}") print(media_url)
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from mangrove.form_model.validator_factory import validator_factory from mangrove.form_model.field import TextField, UniqueIdField from mangrove.form_model.validators import MandatoryValidator, UniqueIdExistsValidator from mangrove.datastore.entity import Entity class TestMandatoryValidator(unittest.TestCase): def setUp(self): self.validator = MandatoryValidator() self.field1 = TextField('a', 'a', 'a') self.field2 = TextField('b', 'b', 'b', required=False) self.field3 = TextField('c', 'c', 'c') self.field4 = TextField('d', 'd', 'd') self.fields = [self.field1, self.field2, self.field3, self.field4]
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'<desc> *(Description:)?': 'description', '<narr> *(Narrative:)?': 'narrative' } class TrecQueries(BaseQueries):
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self.DATA.append(data) service = TestTcpService( "127.0.0.1", aiomisc_unused_port, **{"loop": loop})
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def __init__(self, event_id, trucker_whatsapp, date): self.event_id = event_id self.trucker_whatsapp = trucker_whatsapp
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def hotkey_layout(self, hotkey: str) -> Optional[DDConfigLayout]: """hotkey eg: `q_press_left_click_right`. Returns None if hotkey is invalid.""" layout = self.create_layout() hotkeylist = hotkey[2:].split("_") if len(hotkeylist) % 2 != 0: return None for i in range(0, len(hotkeylist), 2): mode = hotkeylist[i] btn = hotkeylist[i + 1]
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<?= $voter; ?> <?= $userRating ? '(' . $userRating . ') ' : ''; ?><?= Yii::t('bot', 'reacted to a message from'); ?> <?= $candidate; ?><?= $candidateRating ? ' (' . $candidateRating . ') ' : ''; ?>
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def test_init_by_factory(self, mock_loader, mock_valid_directory): config = Config.subreddit('foo') mock_valid_directory.assert_not_called() assert config.env in ['development', 'testing', 'production'] assert config.name == 'foo' assert str(config) == '/r/foo configuration'
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'https://labelqa.estafeta.com/EstafetaLabel20/services/EstafetaLabelWS?wsdl', 'https://label.estafeta.com/EstafetaLabel20/services/EstafetaLabelWS?wsdl', ] __url_tracking__ = [ 'https://trackingqa.estafeta.com/Service.asmx?wsdl', 'https://tracking.estafeta.com/Service.asmx?wsdl', ] __url_quote__ = [ 'http://frecuenciacotizador.estafeta.com/Service.asmx?wsdl', 'http://frecuenciacotizador.estafeta.com/Service.asmx?wsdl', ]
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*/ @SpringBootApplication @ServletComponentScan("com.asiainfo.mysso.client.filter") public class ClientApplication { public static void main(String[] args) { SpringApplication app = new SpringApplication(new Object[] { ClientApplication.class }); app.setAdditionalProfiles(new String[] { "client" }); app.run(args); } }
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public static CommitAttempt BuildNextAttempt(this ICommit commit) {
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return self._name @name.setter def name(self, value): """Key name can be set by Key.key or Key.name. Key.key sets Key.name internally, so just handle this property. When changing the key name, try to load it's metadata from MimicDB. If it's not available, the key hasn't been uploaded, downloaded or synced so don't add it to the bucket set (it also might have just been deleted, see boto.s3.bucket.py#785) """ self._name = value if value:
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private static Response error404(String message) { return Response.status(404).entity(new Message(message)).build(); }
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import time def test_sleep_400ms(): time.sleep(0.4)
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X_train,X_test,y_train,y_test = train_test_split(X,y,random_state=42) vectorizerC = CountVectorizer() X_train_document_term_matrix = vectorizerC.fit_transform(X_train) X_test_document_term_matrix = vectorizerC.transform(X_test) # The common method for text classification is naive bayes
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def regenerate(model, evolve_mode="rand", device="cpu"): for _, m in model.named_modules(): if hasattr(m, "weight") and m.weight is not None: if hasattr(m, "mask"): ## Conv and Linear but not BN assert m.split_rate < 1.0 if m.__class__ == conv.SplitConv or m.__class__ == linear.SplitLinear:
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func beganDragging(_ swipableView: SwipableView) // 位置の変化が生じた際に実行されるアクション
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def show_logs(): errors = get_flashed_messages(category_filter=["error"]) warnings = get_flashed_messages(category_filter=["warning"]) if len(warnings) > MAX_WARNINGS: warnings = warnings[:MAX_WARNINGS] warnings.append( f"Too many warnings (>{MAX_WARNINGS}) - Skipping further warnings..."
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public int TimesUsed { get; set; }
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from .client import Check
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), parsed.line_separator,
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async def run(ctx): await ctx.send(''' `bot invite link:` <https://discord.com/api/oauth2/authorize?client_id=732933945057869867&permissions=538569921&scope=bot>''')
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from .library import Library def main(): location = Library.find_library(os.getcwd()) library = Library(location) library.organize_all()
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self.rightDir = 0 print("Motors Initialized") def msg_received(self, msg, msg_type): # This gets called whenever any message is received if msg_type == MsgType.TWIST: self.processTwist(msg.velocity, msg.omega)
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aima.test.core.experiment.logic.propositional.algorithms.WalkSATExperiment
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z2_copy = z2.copy() z2 = z2/z2.max() dog_not_norm = z1 - z2 dog = (z1 - z2)/np.max(z1-z2) dog[dog<0] = 0
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for key in info.keys(): setattr(self, key, info[key])
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for _ in range(5):
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if(cv_kp[0] < left_display.shape[1] and cv_kp[1] < left_display.shape[0]): cv2.circle(left_display, (int(cv_kp[0]), int(cv_kp[1])), 3, color, -1) if(kp_spine[0] < left_display.shape[1] and kp_spine[1] < left_display.shape[0] and left_hip[0] > 0 and left_hip[1] > 0 and right_hip[0] > 0 and right_hip[1] > 0 ): cv2.circle(left_display, (int(kp_spine[0]), int(kp_spine[1])), 3, color, -1) cv2.addWeighted(left_display, 0.9, overlay, 0.1, 0.0, left_display)
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# UNDERWAY return 0 return AssignmentStatus.ASSIGNMENT_UNDERWAY
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self.assertEqual(test.name(), 'test')
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from pathlib import Path import pytest from python_on_whales import docker from python_on_whales.components.system.models import DockerEvent, SystemInfo from python_on_whales.exceptions import DockerException from python_on_whales.test_utils import get_all_jsons, random_name def test_disk_free(): docker.pull("busybox") docker.pull("busybox:1") docker_items_summary = docker.system.disk_free()
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result.update({'data': value})
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ignore = [f for f in os.listdir(opendbc_root) if not f.endswith('_generated.dbc')] comp = filecmp.dircmp(opendbc_root, d, ignore=ignore) assert len(comp.diff_files) == 0, f"Different files: {comp.diff_files}" test_generator()
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public class AdapterDataSet<E extends BaseItem> extends ArrayList<E> implements List<E>, RandomAccess, Cloneable, Serializable { public AdapterDataSet() { super(); } public AdapterDataSet(Collection<? extends E> c) { super(c);
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pub use into_hashmaps::{clone_to_hashmap, into_hashmap, IntoHashmap}; pub use unwinds::{clone_unwind, unwind, Unwinds}; mod unwinds; mod into_hashmaps;
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lst_wp.append(Weighted_point_2(Point_2(14, 1), 1)) was.make_alpha_shape(lst_wp)
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{ return "Using - " + value; } } }
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@num_guesses.setter def num_guesses(self, val): self._num_iterations = val def on_recursion(self, depth): if depth > self.max_recursion_depth: self.max_recursion_depth = depth def get_max_recursion_depth(self): return self.max_recursion_depth
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source migration_common_settings.sh # HARDCODED ${ORACLE_HOME}/lib path. # If ORACLE_HOME variable is set and Oracle libraries are present, then setup bash_profile if [ ! -z ${ORACLE_HOME} ] && [ -d ${ORACLE_HOME}/lib ]; then
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return fb.evaluateObjectExpression('[%s objectAtIndex:%i]' % (views, index)) def viewsCount(views): return int(fb.evaluateExpression('(int)[%s count]' % views)) def accessibilityIdentifier(view): return fb.evaluateObjectExpression('[%s accessibilityIdentifier]' % view) def isEqualToString(identifier, needle): return fb.evaluateBooleanExpression('[%s isEqualToString:@"%s"]' % (identifier, needle)) def setTextInView(view, text): fb.evaluateObjectExpression('[%s setText:@"%s"]' % (view, text))
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class NewProgressView: UIView { // MARK: - Outlets @IBOutlet var gifView: UIImageView! @IBOutlet var messageLbl: UILabel! class func instanceFromNib(frame: CGRect) -> NewProgressView? {
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pay_rate = 400
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package com.costa.luiz.comics.domain;
ise-uiuc/Magicoder-OSS-Instruct-75K
import cv2 def loadVideo(Video_FILE, maskFile): mask = cv2.imread(maskFile, 0) fourcc = cv2.VideoWriter_fourcc(*'MPV4') # fourcc = cv2.cv.CV_FOURCC(*'XVID') video_out = cv2.VideoWriter('new_video.mp4', fourcc, 30, (480, 848)) counter = 0 for frame in get_frames(Video_FILE): if frame is None: break dst = cv2.inpaint(frame, mask, 3, cv2.INPAINT_TELEA)
ise-uiuc/Magicoder-OSS-Instruct-75K
def __str__(self): return self.nome
ise-uiuc/Magicoder-OSS-Instruct-75K
do echo "[-] Running task for model: $model, rep: $r, k-fold: $k" sbatch $FLAGS --wrap="python ../main.py --model $model --repetition $r --kfold $k --timestamp $exec_ts --configfile $config" #sbatch $FLAGS --wrap="python -c \"print(10000)\"" #python ../main.py -m $model -r $r -k $k -cf $config TOTAL=`expr $TOTAL + 1` sleep 2s done done
ise-uiuc/Magicoder-OSS-Instruct-75K