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gameObject.SetActive(false); DidHide(); return ok; } async UniTask<bool> Animate(string trigger, CancellationToken token = default) { if (animator == null || trigger == null || trigger == string.Empty || trigger == "None" || trigger == "Null") { return true; } if (!Application.isPlaying) { return t...
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import pulumi_azure_native.netapp.v20190701 as v20190701 import pulumi_azure_native.netapp.v20190801 as v20190801 import pulumi_azure_native.netapp.v20191001 as v20191001 import pulumi_azure_native.netapp.v20191101 as v20191101
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}); it("getLoaded() should return the current 'loaded' status", () => { const result = usersQuery.getLoaded(storeState);
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m_nameExp->outputCPP(cg, ar); cg_printf(")"); } cg_printf(")"); } cg_printf(");\n"); cg_printf("MethodCallPackage mcp%d;\n", m_ciTemp); cg_printf("mcp%d.construct(obj%d);\n", m_ciTemp, m_objectTemp); cg_printf("const CallInfo *cit%d = mcp%d.ci;\n", m_ciTemp, m_ciTemp); ...
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return } funcBacktrace(level - 1) } }
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eventFile = sys.argv[6]; if targetThroughput == '-': targetThroughput = None;
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docker run -d --name zipkin -p 9411:9411 openzipkin/zipkin
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vSet[set1].extend(vSet[set2]) del vSet[set2]
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public static var name: String = "Virology Testing - Negative Result (Isolation)"
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import java.util.List;
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} final ByteBuffer buf = ByteBuffer.allocate(serializedKey.length + NEWFLAG_SIZE); buf.put(serializedKey); buf.put((byte) (data.newValue != null ? 1 : 0)); return buf.array(); }
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/** * Copyright 2021 Shulie Technology, Co.Ltd * Email: <EMAIL> * 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 *
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abort(); return E_MAX;
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const propsAPI = usePropsAPI<NodeData, EdgeData, PortData>(); React.useImperativeHandle(props.propsAPIRef, () => propsAPI, [propsAPI]); const graphConfig = React.useContext(GraphConfigContext); const enabledFeatures = propsAPI.getEnabledFeatures(); const reducerContext: IGraphReducerContext = React.useMemo( ...
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[V.DATE, V.TIME, V.HERO, V.EXPERIENCE], 'hero#N +experience#EXP'), ('ACTION_EVENT_HABIT_MOVE_TO_NOBLE_MONEY', 40026, 'Дневник: В движении, черты, благородство (деньги)', relations.LEXICON_GROUP.ACTION_EVENT, 'События при путешествии благородного героя (деньги)', [V.DATE, V.TIME, V.CO...
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return columns, data def get_columns(filters): """return columns based on filters"""
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octave --eval "test largestNumber"
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CAMPO_REGIAO = ('VMM_MANAGER_REGIAO', 'Região na qual a VM foi criada (script vmm_manager).') CAMPO_REDE_PRINCIPAL = ('VMM_MANAGER_REDE_PRINCIPAL', 'Nome da rede principal da VM (script vmm_manager).')
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# record the .pkl file output python PMI.py # run the following to get the estimated noise level # record \sigma, the output python noise_est_pmi.py
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from flask import Flask from flask import render_template from flask_restful import Api from shield_app.utils.route_utils import error_handler from shield_app.api.route import Certificate current_path = os.path.dirname(os.path.abspath(__file__)) ui_path = os.path.join(current_path, os.pardir, "shield_ui") app = Flask...
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super(PdfRelayException, self).__init__(args, kwargs) class JobError(PdfRelayException): """Issue with the parameters of the conversion job""" class EngineError(PdfRelayException): """Engine process spawning/execution error""" class MetadataError(PdfRelayException): """An error occurred in the retrieval or savi...
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type Err = crate::Error; fn from_str(s: &str) -> Result<Self, Self::Err> { try_from(s) } } impl TryFrom<&str> for Box<ServerName> { type Error = crate::Error; fn try_from(s: &str) -> Result<Self, Self::Error> { try_from(s) } }
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def group_by_day_of_the_week(df): grouped = df.groupby(['DAY_OF_THE_WEEK']).size().to_frame('Crimes') labels = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] p = grouped.plot.pie(y='Crimes', labels=labels, autopct='%1.1f%%') p.set_title('Crimes Percentage Grouped By Day o...
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items[i_id] +=1
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const bigNum = new BigNumber ( `${ a }` ); return bigNum[ calcType ] ? bigNum[ calcType ] ( b ).toString () : '--'; }
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} inline void _follow_path(f64 dt) { system.update_position = true; system.update_rotation = true; if (system.mover.state >= system.mover.steps[system.mover.num_points - 1].time){ system.position = system.mover.steps[system.mover.num_points - 1].position; system.mover.active = false;
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test_prediction_rate = 0.0
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"created":datetime.utcfromtimestamp(row[3]).strftime('%Y-%m-%dT%H:%M:%S') }) return news async def start_background_tasks(app): app['news_listener'] = asyncio.create_task(main_news_task(app)) async def cleanup_background_tasks(app):
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import CoreData
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if not beat_files_dir.endswith("/"): beat_files_dir += "/" annotation_files_url = [f for f in os.listdir(annotation_files_dir) if f.endswith((file_extension))] nb_annotation_files = len(annotation_files_url) beat_files_url = [f for f in os.listdir(beat_files_dir) if f.endswith((file_extension)...
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"data": task.execute.data, "command": task.execute.command, "timeout": task.execute.timeout, "standard": task.execute.standard } else: res["execute"] = None # Result information if result and task.result:
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label_count = model_settings['label_count']
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neuroner = Neuroner()
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tree.write(os.path.join(datapath, folder, file)) print('finished') accesssizes(data)
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OutOfMemoryError e = assertThrows(OutOfMemoryError.class, () -> { cachedService.throwErrorDuringCacheComputation(); }); assertEquals(FORCED_EXCEPTION_MESSAGE, e.getMessage()); } @Singleton
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from .operations import Multiply, Add, Substract class MyApp(object): def __init__(self): self.operations={'multiply': Multiply, 'add': Add, 'substract': Substract}
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return L, [], [], [] class SearchResults (SearchResults): def __init__ (self, sids, scores, sets): self._sids = sids self._scores = scores self._sets = sets self._sort = None self._list = None self._list_for = None ...
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package com.andedit.badtrucks.world; public class WorldRenderer { }
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path.resolve( __dirname, '../__fixtures__/ed25519-did-core-conformance-vectors.json' ), JSON.stringify(fixture, null, 2) ); } });
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with torch.no_grad(): extracted = self.forward(x).detach() pred = torch.log_softmax(self.linear(extracted), dim=-1) # Grab samples that have a label. mask = (y >= 0) loss += f.nll_loss(pred[mask], y[mask])
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public string Path { get; set; }
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} const mapStateToProps = ({ member: { interestNodes } }: RootState) => { return { interestNodes } } export default connect(mapStateToProps, {})(NodeDetail)
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var isCompleted: Bool { get } func begin()
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a = x1 - (x2 - x1)**2/(x3 - 2*x2 + x1) a = np.asarray(a) inds = np.isnan(a) a[inds] = x3[inds] inds = np.isinf(a) a[inds] = x3[inds] return a
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cwd_config_filename = os.path.join(os.getcwd(), tool_name + CONFIG_FILE_EXT) root_clouni_config_filename = os.path.join(utils.get_project_root_path(), tool_name + CONFIG_FILE_EXT) tools_directory = os.path.join(os.path.dirname(os.path.dirname(...
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from MPD218 import MPD218 def create_instance(c_instance): return MPD218(c_instance)
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@param (topStreams) -> list of 20 dictionary objects ''' def insertTopStreams(dbConnection, cursor, time, topStreams): # multidimensional list # list order: [channel_id, display_name, language, game, created_at, followers, views, viewers, preview_template] items = [] for stream in topStreams: item = [] ...
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for each piece of data: shdu.write(data) shdu.close() """ def __init__(self, name, header): """ Construct a `StreamingHDU` object given a file name and a header.
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Returns: Vector object. """ return next((v for v in self if v.name == name), None) def get_names(self): """Get the vectors names. Returns: List of strings. Contain vectors names.
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if __name__ == "__main__": # Tests # with open("scrap_influx.txt", "r", encoding="utf-8") as f:
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isOnBlur: boolean;
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CSV_URL = 'https://bit.ly/2HiD2i8' def get_csv(): """Use requests to download the csv and return the decoded content""" resp = requests.get(CSV_URL) resp.raise_for_status() return resp.text
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</nav> <main>
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FILE="$CURDIR/lock.png" BACKGROUND="355C7D" swaylock --indicator-radius 50 --indicator-thickness 4 --insidecolor $BACKGROUND --keyhlcolor 000000 --linecolor $BACKGROUND --ringcolor ${BACKGROUND}00 -r -t -i $FILE
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schema->inputWidth = lastSchema->outputWidth; }
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with open(csv_file, 'r') as train_set: for video in train_set:
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void ListboxTextItem::setFont(const String& font_name) { setFont(&FontManager::getSingleton().get(font_name)); } //----------------------------------------------------------------------------// void ListboxTextItem::setFont(Font* font) {
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def testHasFunctions(self): self.assertEquals(["contains", "getAll", "remove", "request"], sorted(self.permissions.functions.keys())) def testHasTypes(self): self.assertEquals(['Tab'], self.tabs.types.keys())
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namespace Acheve.Common.Messages { public class AwaitExternalEstimationToBeProcessed { public AwaitExternalEstimationToBeProcessed(Guid caseNumber) { CaseNumber = caseNumber;
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# Licensed under the MIT License # https://github.com/craigahobbs/template-specialize/blob/master/LICENSE from .main import main
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Constraints: releaseTimes.length == n keysPressed.length == n 2 <= n <= 1000
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:param name: the name of the metric to be constructed. :type filter_: str :param filter_: the advanced logs filter expression defining the entries tracked by the metric. If not passed, the instance should already exist, to be ...
ise-uiuc/Magicoder-OSS-Instruct-75K
# TODO: ROLES # TODO: COLOR # MAIN SHIT @client.event async def on_ready(): await client.change_presence(activity=trailhead) @client.event async def on_message(msg): if msg.author == client.user:
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print("Failed to convert type", type(rcurve)) return None def import_line(rcurve, bcurve, scale):
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hdp206StackAdvisorPath = os.path.join(testDirectory, '../../../../../main/resources/stacks/HDP/2.0.6/services/stack_advisor.py') stack_advisor = imp.load_source('stack_advisor', hdp206StackAdvisorPath) services = { "services": [ { "StackServices": { "service_name": "RANG...
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""" Prints output for the data tree. Example code and output… Code: _dict_tree = Dict_tree_node() _dict_tree.append_path( [ 1, 2, 3, ] )
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export * from './lib/action-type-cache'; export * from './lib/incremantal-http-retry';
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anonymous = {} getters = [attr for attr in dir(obj) if attr.startswith("get_")] for getter in getters: # Call the get_ functions, and call all non-static methods try: func = getattr(obj, getter)
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prop = load_cont_property("test_data/BIG_SOFT_DATA_CON_160_141_20.INC",-99) sgs_params = { "prop": prop, "grid": grid,
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* @param <T> * type parameter * @param str * the string argument */ <T> void foo(String str) { } }
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* $URL$ * $Id$ *********************************************************************************** * * Copyright (c) 2005, 2006, 2007, 2008 Sakai Foundation *
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'StaticMap' ]
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// get the item class foreach ($spatialItem->xpath("//arch:spatialUnit/oc:item_class/oc:name") as $item_class) { $item_class = (string)$item_class; $LinkedDataItem->assignSubjectClass($item_class); } return $LinkedDataItem; }//end reindex function
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name): ModelV2.__init__( self, obs_space, action_space, output_spec, model_config, name, framework="torch")
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class Results: NSObject { }
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row = np.random.randint(size) col = np.random.randint(size) rad = np.random.randint(10, max(10, radius)) draw_circle(img, row, col, rad) # Noise img += noise * np.random.rand(*img.shape) return (row, col, rad), img
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from lldbsuite.test.lldbtest import * from lldbsuite.test import lldbutil class TestCase(TestBase):
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for plugin_id, plugin in self._repository.items(): await callee(plugin)
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* Description of SwiftSalesmanDepartmentPermission * * @author kpudaruth */ class SwiftSalesmanDepartmentPermission extends Eloquent { protected $table = "swift_salesman_department_permission"; public function department() { return $this->belongsTo('SwiftSalesmanDepartment','department_id'...
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from solids import example_one_solid # pylint: disable=import-error
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# calculate expect arithmetic means for ticks and harmonic # mean for liquidity to compare w actuals for i in range(len(windows)): expect_avg_tick = int((tick_cums[now_idxs[i]]-tick_cums[i])/windows[i]) expect_avg_liq = int(windows[i] * ((1 << 160) - 1) /
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@property def push(self): return self.main_push_object() # Return de-refernced main Push2 object
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/sbin/mkswap /dev/zram0 2097148 /sbin/swapon -p 100 /dev/zram0 fi
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def discard(self, __obj: _T) -> None:
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public void SetPreloaderPrefab(GameObject go) { prefab = go; }
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k0) # Start up `hledger web` instances over ports 8000 and 8001. ~/syscfg/script/hledger.sh &
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using System.Linq; using System.Runtime.Remoting.Messaging; // For reference: http://www.wintellect.com/blogs/jeffreyr/logical-call-context-flowing-data-across-threads-appdomains-and-processes namespace Qlue.Logging
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v = lmfit.Parameters() for name, (mi, ma, va, dim, unit, desc) in df.iterrows(): v.add(name, value=va, min=mi, max=ma, vary=False) return v def params_to_dataframe(params): '''Convert lmfit Parameters to Pandas DataFrame''' df = get_deb_params_pandas() for name, p in params.items(): ...
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if (read != ':')
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return '{0.time} {0.id} {0.username} {0.text}'.format(self)
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class DeadConnectionException(Exception): pass
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* Date: 2016/12/12 * Author: 105021038 傅琬鈞 */ public class hw01 { public static void main(String[] args) { Scanner scn = new Scanner(System.in); String str = scn.nextLine(); int n = scn.nextInt();
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pass def get_project(self): pass def save_project(self): pass
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from .genoabc import AlleleContainer from .alleles import Alleles from .sparsealleles import SparseAlleles from .chromosometemplate import ChromosomeTemplate, ChromosomeSet from .labelledalleles import LabelledAlleles, InheritanceSpan, AncestralAllele
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def test_writing_wrong_values(self): with self.assertRaises(TypeError): self.injecter.injectScene(3, "scene") if __name__ == "__main__":
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"""This method updates the database every 3 minutes""" tags = self.bot.dbconn.get_players()
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self.assertEqual("two of two values", result[2]['value'])
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double d = Math.pow(1d + monthRate , periods) ; //计算结果
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error_div = '<div><span class="error-container label label-danger"{}></span></div>' error_div_html = format_html(error_div, flatatt(error_div_attrs)) return '%s%s' % (input_html, error_div_html)
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return int(v) except: return None def rangeOrNone(v): try: if "<[" in v: vs = v.split("..") return (int(vs[0][2:]),int(vs[1][:-2])) return None except: return None
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