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| graph Doskvol { | |
| concentrate=true; | |
| edge[color=forestgreen] | |
| subgraph legend { | |
| color = black; | |
| label = "Legend"; | |
| "Tier I"--"Tier II"--"Tier III"--"Tier IV"--"Tier V" | |
| } | |
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| declare function assert(value: unknown): asserts value; | |
| interface Rule { | |
| ref: string, | |
| raw: Array<string>, | |
| compiled: string | null, | |
| cyclic: boolean, | |
| } | |
| const orRule: Rule = { |
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| <style>.eventIcon sf, hr, #superfooter, #header, #userneohome, #footer, #habitarium, #ncmall, #ban, #usershop, #usercollections img, #ad-slug-wrapper{display: none;}.contentModuleHeader, .contentModuleHeaderAlt, h1{text-align: center;font: 7pt verdana;letter-spacing: 3px;text-transform: uppercase;color: #FFF;padding: 0px;background: #c2e0f8;line-height: 20pt;}body{background: #EFEFEF;}h1{margin: 0;}#main{width: 1195px;margin-top: -30px;background: 0;border: 0;}#box, .contentModuleTable, #box2{background: #FFF;border: 1px solid #EBEBEB;}#userinfo{width: 400px;}#usercollections{width: 390px;}.medText{padding: 5px;}.contentModuleContent{padding: 10px;}#userinfo, #usercollections{height: 310px !important;}#usertrophies, #usertrophies .medText{width: 800px !important;}#userneopets img:hover{border: 3px solid #ccc;}#scroll > div img, #userneopets img, #userinfo a img{border-radius: 210px!important;}p, td, div, b{color: #bebebe;font: 10pt tahoma;}a{text-decoration: none;color: #565656 !important;}a:hover{text-decora |
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| function DrawingComponent(props: DrawingComponentProps) { | |
| ... | |
| const [histories, setHistories] = useState<Array<History>>([]); | |
| ... | |
| function clear() { | |
| layerRef.current?.destroyChildren(); | |
| layerRef.current?.clear(); |
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| import React, { useRef, useState } from 'react'; | |
| import { Stage, Layer, Line} from 'react-konva'; | |
| import Konva from 'konva'; | |
| import '../styles/MyComponent.css'; | |
| import {Mode} from './constants' | |
| function DrawingCanvas() { | |
| const stageRef = useRef<Stage>(null); | |
| const stage = stageRef.current || new Stage({width: 600, height: 400}); | |
| const [isPaint, setIsPaint] = useState(false); |
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| module Lab5 where | |
| import Control.Monad | |
| import Data.List | |
| -- A.1 | |
| hrSolutions :: [((Integer, Integer), (Integer, Integer), Integer)] | |
| hrSolutions = do | |
| i <- [1..] |
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| map3 :: (a->b->c->d) -> [a] -> [b] -> [c] -> [d] | |
| map3 _ [] _ _ = [] | |
| map3 _ _ [] _ = [] | |
| map3 _ _ _ [] = [] -- Is there a better way to do this? ¯\_(ツ)_/¯ | |
| map3 f (x:xs) (y:ys) (z:zs) = f x y z : map2 f xs ys zs |
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| def similarity(self, G=None, H=None, iters=20): | |
| """ Returns the graph similarity based on Neighbor Matching[Ref] | |
| Derived from 'wadsashika'_ | |
| :param G: networkx graph of original graph (default: self.G) | |
| :param H: networkx graph of inferred graph (default: self.H) | |
| :param iter: number of iterations (default: 20) | |
| :return: float | |
| """ |
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| while(getline(fbase, line)) | |
| { | |
| cudaEventSynchronize(finishedMemcpyEvent); | |
| if (!(fbase >> user >> movie >> day >> rating)){ | |
| data_idx++; | |
| continue; | |
| } | |
| // process the line. Store indices instead of values | |
| buffer[data_idx % batchsize] = DataPoint(user - 1, movie - 1, rating); |
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| #include <assert.h> | |
| #include "knapsack.h" | |
| #define maxcount 10 | |
| using namespace std; | |
| // ******* DATA STRUCTURES *********** |
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