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= 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\"","module.exports = \"data:image/png;base64,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\"","module.exports = \"data:image/png;base64,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\"","module.exports = __webpack_public_path__ + \"static/media/kattis.0a3f6018.png\";","import axios from 'axios';\nimport { sheetToEntry } from './sheet-to-entry';\nimport { RecommenderContextState } from '../context/RecommenderContext';\nimport { FilterOption, Tag } from './types';\n\nconst PROBLEMS_URL = 'https://docs.google.com/a/google.com/spreadsheets/d/1mYZSziPP8-2a9lQeSjXm7FwRqilwgsL8MIHeER0BmGo/gviz/tq?tq=select%20*';\nconst TAGS_URL = 'https://docs.google.com/a/google.com/spreadsheets/d/1mYZSziPP8-2a9lQeSjXm7FwRqilwgsL8MIHeER0BmGo/gviz/tq?gid=1856672631&tq=select%20*';\n\nasync function fetchGoogleSheet(url: string) {\n // A variable used to store the data returned by Google API.\n let source = null;\n\n // An object that is used by the JSONP response by Google API.\n // eslint-disable-next-line\n const google = {\n visualization: {\n Query: {\n setResponse: (response: any) => {\n source = response;\n }\n }\n }\n };\n\n const result = await axios(url);\n // eslint-disable-next-line\n eval(result.data);\n const entries = sheetToEntry(source);\n return entries;\n}\n\nfunction parseProblemList({ cols, data }: { cols: any[], data: any[] }): {\n problems: any[],\n tags: Tag[],\n options: { [key: string]: FilterOption[] }\n} {\n const options = {\n 'judge': {} as { [key: string]: FilterOption },\n 'difficulty': {} as { [key: string]: FilterOption },\n 'level': {} as { [key: string]: FilterOption },\n };\n\n let tags = {} as { [key: string]: FilterOption };\n\n const problems = data.map((problem) => {\n problem.Tags = problem.Tags.split(\",\")\n .map((tag: string) => tag.trim())\n .filter((tag: string) => tag.length !== 0);\n\n problem.FilterOptions = [\n options.judge[problem.Judge] = {\n type: 'judge',\n source: problem.Judge,\n key: `judge:${problem.Judge}`,\n value: `judge:${problem.Judge}`,\n text: `Judge: ${problem.Judge}`\n },\n options.difficulty[problem.Difficulty] = {\n type: 'difficulty',\n source: problem.Difficulty,\n key: `difficulty:${problem.Difficulty}`,\n value: `difficulty:${problem.Difficulty}`,\n text: `Difficulty: ${problem.Difficulty}`\n },\n options.level[problem.Level] = {\n type: 'level',\n source: problem.Level,\n key: `level:${problem.Level}`,\n value: `level:${problem.Level}`,\n text: `Level: ${problem.Level}`\n },\n ...problem.Tags.map((tag: string) => (tags[tag] = {\n type: 'tag',\n source: tag,\n key: `tag:${tag}`,\n value: `tag:${tag}`,\n text: `Tag: ${tag}`,\n }))\n ];\n\n return problem;\n });\n\n // Change the option / tag list from key-value form to sorted array.\n const clean = (o: { [key: string]: T }): T[] => {\n return Object.entries(o)\n .sort(([u], [v]) => Number(u > v))\n .map(([key, value]) => value);\n }\n\n return ({\n problems,\n tags: clean(tags) as Tag[],\n options: Object.fromEntries(Object.entries(options).map(([key, value]) => [key, clean(value)])),\n });\n}\n\nexport async function fetchData(context: RecommenderContextState) {\n const { problems, tags, options } = await fetchGoogleSheet(PROBLEMS_URL)\n .then(parseProblemList);\n\n const tagsSheet = (await fetchGoogleSheet(TAGS_URL)).data as any[];\n const tagGroups = new Map(tagsSheet.map(({ Tag, Group }) => [Tag, Group]));\n const tagDescription = new Map(tagsSheet.map(({ Tag, Description }) => [Tag, Description]));\n\n // Handle the tag group relationships\n const MISC = 'Miscellaneous';\n const tagByGroups = tags.reduce((groups: { [key: string]: Tag[] }, tag: Tag) => {\n const group = tagGroups.has(tag.source) ? tagGroups.get(tag.source) : MISC;\n tagGroups.set(group, '');\n tagGroups.set(tag.source, group);\n\n if (!group) return groups;\n if (!groups[group]) groups[group] = [];\n groups[group].push(tag);\n return groups;\n }, {} as { [key: string]: Tag[] });\n\n const sortOrders = [\n { key: 'default', value: 'default', text: 'Default' },\n { key: 'level-difficulty', value: 'level-difficulty', text: 'Level / Difficulty' },\n ];\n\n // Remove all group names from MISC list.\n tagByGroups[MISC] = tagByGroups[MISC] &&\n tagByGroups[MISC].filter((tag :Tag) => !(tag.source in tagByGroups));\n\n // Set the group back to the tags (* miscellaneous)\n for (const [group, tags] of Object.entries(tagByGroups)) {\n for (const tag of tags as (Tag[])) {\n tagGroups.set(tag.source, group);\n }\n }\n\n // Update tag list\n for (const tag of tags) {\n tag.group = tagGroups.get(tag.source);\n }\n\n context.setState((context) => ({\n ...context,\n data: {\n ...context.data,\n problems,\n tags,\n groupedTags: tagByGroups,\n options,\n tagGroups,\n tagDescription,\n sortOrders,\n },\n }));\n}\n","export function sheetToEntry(sheet: any): { cols: any[], data: any[] } {\n const cols = sheet.table.cols.map((col: any) => ({\n label: col.label,\n type: col.type,\n }));\n\n const sanitizeCell = (cell: any, cellType: string) => {\n if (cell && cell.v) {\n if (cellType === \"number\")\n return cell.v;\n return cell.v.trim();\n } else {\n if (cellType === \"number\")\n return 0;\n return \"\";\n }\n }\n\n const data = sheet.table.rows.map((row: any) =>\n row.c.map((cell: any, id: any) => [cols[id].label, sanitizeCell(cell, cols[id].type)])\n .reduce((o: Object, [k, v]: [any, any]) => ({ ...o, [k]: v }), {}));\n\n return { cols, data };\n}\n","import * as React from 'react';\nimport { SortOrder, Problem, Tag, FilterOption } from '../util/types';\n\nconst defaultRecommenderContext = {\n fetched: false,\n\n setting: {\n filters: [] as string[],\n sortOrder: 'default' as SortOrder,\n },\n\n data: {\n problems: [] as Problem[],\n tags: [] as Tag[],\n options: {\n difficulty: [] as FilterOption[],\n level: [] as FilterOption[],\n judge: [] as FilterOption[],\n },\n groupedTags: {} as { [group: string]: Tag[] },\n tagGroups: new Map(),\n tagDescription: new Map(),\n sortOrders: [] as FilterOption[],\n keywords: [] as FilterOption[],\n },\n};\n\nexport type SetState = T | ((t: T) => T);\n\nexport type RecommenderContextProps = typeof defaultRecommenderContext;\nexport type RecommenderContextState = RecommenderContextProps & {\n setState: (recommenderContext: SetState) => void;\n}\n\nexport const RecommenderContext = React.createContext({\n ...defaultRecommenderContext,\n setState: (recommenderContext: SetState) => { },\n});\n\nexport function RecommenderContextProvider({ children }: { children: React.ReactNode }) {\n const [state, setState] = React.useState(defaultRecommenderContext);\n\n return (\n \n {children}\n \n );\n}","import * as React from 'react';\nimport { RecommenderContext } from '../../context/RecommenderContext';\nimport { Button } from 'semantic-ui-react';\n\ninterface Props {\n text: string;\n value: any;\n source: any;\n [key: string]: any;\n}\n\n/**\n * The button used in the list of options.\n */\nexport function OptionButton({ text, value, source, ...props }: Props) {\n const context = React.useContext(RecommenderContext);\n const { filters } = context.setting;\n const { tagDescription } = context.data;\n\n const onClick = () => {\n console.log(filters);\n if (value && !filters.includes(value)) {\n context.setState((context) => ({\n ...context,\n setting: {\n ...context.setting,\n filters: filters.concat([value]),\n },\n }));\n }\n }\n\n return (\n \n {text || '\\u00A0'}\n \n )\n};\n","import * as React from 'react';\nimport { OptionButton } from './OptionButton';\nimport { Table } from 'semantic-ui-react';\n\ninterface Props {\n type: string;\n options: any[];\n}\n\nexport function OptionDisplay({ type, options }: Props) {\n return (\n \n \n {type}\n \n \n {options.map((option: any) => (\n \n ))}\n \n \n );\n}\n","import * as React from 'react';\nimport { Table, Icon, Popup } from 'semantic-ui-react';\nimport { RecommenderContext } from '../../context/RecommenderContext';\nimport { OptionButton } from './OptionButton';\nimport { Tag } from '../../util/types';\n\nexport function TagDisplay() {\n const [currentGroup, setGroup] = React.useState('');\n const context = React.useContext(RecommenderContext);\n const groupedTags = Object.entries(context.data.groupedTags)\n .sort(([u], [v]) => Number(u > v));\n const tagSet = new Set(context.data.tags.map((tag) => tag.source));\n\n const addTag = (tag: string) => {\n if (!context.setting.filters.includes(tag)) {\n context.setState((context) => ({\n ...context,\n setting: {\n ...context.setting,\n filters: context.setting.filters.concat(tag),\n },\n }));\n }\n }\n\n return (\n \n \n Tags\n \n }>\n The blue buttons are the group of tags.\n
    \n
  • Add a tag: select the group to expand it, then select the tag.
    • \n
  • Add a group: select the group, then click the green group button.
    • \n
\n \n \n \n {\n groupedTags.map(([group, tags], id) => (\n <>\n {currentGroup === group && id !== 0 &&
}\n {\n if (currentGroup !== group)\n setGroup(group);\n else if (tagSet.has(group))\n addTag(`tag:${group}`);\n }}\n value={null} />\n {\n currentGroup === group && <>\n \n {tags && (tags as Tag[])\n .sort((a: Tag, b: Tag) => a.source > b.source ? 1 : -1)\n .map((tag: Tag) => (\n \n ))}\n {id !== groupedTags.length - 1 &&
}\n \n }\n \n ))\n }\n \n \n );\n}","import React from 'react';\nimport { Accordion, Dropdown, Icon, Table, DropdownProps } from 'semantic-ui-react';\nimport { RecommenderContext, RecommenderContextProps } from '../../context/RecommenderContext';\n\nimport { OptionDisplay } from './OptionDisplay';\nimport { TagDisplay } from './TagDisplay';\n\nexport function ProblemsFilter() {\n // Local state\n const [active, setActive] = React.useState(false);\n const context = React.useContext(RecommenderContext);\n\n const { filters } = context.setting;\n const { tags, options, keywords } = context.data;\n\n const dropdownOptions = [\n ...options.difficulty,\n ...options.judge,\n ...options.level,\n ...tags,\n ...keywords\n ];\n\n // All values of filters for checking.\n const filterValues = dropdownOptions.map((option) => option.value);\n\n // Function called when the filter list needs to be updated.\n const onFilterChange = (event: React.SyntheticEvent, { value: filters }: DropdownProps) => {\n const currentFilters = (filters as any[]).filter((filter) => filterValues.includes(filter));\n\n context.setState((context: RecommenderContextProps) => ({\n ...context,\n setting: {\n ...context.setting,\n filters,\n },\n data: {\n ...context.data,\n keywords: context.data.keywords.filter((keyword) => currentFilters.includes(keyword.value)),\n }\n } as RecommenderContextProps));\n };\n\n const onSortOrderChange = (event: React.SyntheticEvent, { value: sortOrder }: DropdownProps) => {\n context.setState((context) => ({\n ...context,\n setting: {\n ...context.setting,\n sortOrder\n }\n } as RecommenderContextProps));\n };\n\n const onFilterAddition = (event: React.KeyboardEvent, props: DropdownProps) => {\n const value = props.value as string;\n context.setState((context) => ({\n ...context,\n setting: {\n ...context.setting,\n filters: filters.concat([`keyword:${value}`]),\n },\n data: {\n ...context.data,\n keywords: keywords.concat(({\n key: `keyword:${value}`,\n value: `keyword:${value}`,\n text: `Keyword: ${value}`,\n source: value,\n type: 'keyword',\n })),\n },\n }));\n };\n\n return (\n <>\n \n\n \n setActive(!active)}>\n \n Filter / Sort\n \n \n \n \n \n \n Filter\n \n \n \n \n \n \n \n \n \n
\n\n \n \n \n \n Sort Order\n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n )\n}\n","import React from 'react';\nimport { Image } from 'semantic-ui-react';\n\nimport defaultIcon from '../icons/default.png';\nimport hkojIcon from '../icons/hkoj.png';\nimport cfIcon from '../icons/cf.png';\nimport aojIcon from '../icons/aoj.png';\nimport csaIcon from '../icons/csa.png';\nimport atcoderIcon from '../icons/atcoder.png';\nimport fbIcon from '../icons/fb.png';\nimport hackerrankIcon from '../icons/hackerrank.png';\nimport luoguIcon from '../icons/luogu.png';\nimport spojIcon from '../icons/spoj.png';\nimport syssIcon from '../icons/syss.png';\nimport kattisIcon from '../icons/kattis.png';\n\nconst icons: { [key: string]: string } = {\n 'HKOJ': hkojIcon,\n 'CF': cfIcon,\n 'AOJ': aojIcon,\n 'CSA': csaIcon,\n 'AtCoder': atcoderIcon,\n 'FBHC': fbIcon,\n 'HackerRank': hackerrankIcon,\n 'Luogu': luoguIcon,\n 'SPOJ': spojIcon,\n 'SYSS': syssIcon,\n 'Kattis': kattisIcon,\n};\n\ninterface Props {\n judge: string;\n}\n\nexport function JudgeIcon(props: Props) {\n const { judge } = props;\n const icon = judge in icons ? icons[judge] : defaultIcon;\n\n return (\n \n );\n}\n","import React from 'react';\nimport { Icon, Label, Table } from 'semantic-ui-react';\nimport { JudgeIcon } from './JudgeIcon';\nimport { RecommenderContext } from '../context/RecommenderContext';\nimport { Problem } from '../util/types';\n\nexport function ProblemDisplay({ problem }: { problem: Problem }) {\n const context = React.useContext(RecommenderContext);\n const ref = React.createRef();\n const tagGroups = context.data.tagGroups;\n\n const tagSorter = (a: string, b: string) => {\n const first = (tag: string) => tagGroups.get(tag) || tag;\n if (first(a) !== first(b))\n return Number(first(a) > first(b));\n if (!tagGroups.get(a) && !tagGroups.get(b))\n return Number(a > b);\n if (!tagGroups.get(a))\n return -1;\n if (!tagGroups.get(b))\n return 1;\n return Number(a > b);\n }\n\n return (\n \n ref.current?.click()}\n style={{\n cursor: \"pointer\"\n }}>\n \n \n  \n {problem.Judge} - {problem.ID ? problem.ID + ' - ' : ''} {problem.Problem}\n
\n \n \n \n \n \n {\n problem.Tags\n .sort(tagSorter)\n .map((tag: string) => (\n tagGroups.get(tag)\n ? (\n \n )\n : (\n \n )\n ))\n }\n \n
\n \n \n \n )\n}\n","import React from 'react';\nimport { Table } from 'semantic-ui-react';\nimport { ProblemDisplay } from './ProblemDisplay';\nimport { RecommenderContext } from '../context/RecommenderContext';\nimport { Problem, FilterOption } from '../util/types';\n\nconst level = ['Beginner', 'Intermediate', 'Advanced', ''];\nconst difficulty = [1, 2, 3, 4, 5, 0];\n\nconst problemSorter: { [key: string]: ((a: Problem, b: Problem) => number) } = {\n 'default': (a: Problem, b: Problem) => {\n if (a.Judge !== b.Judge)\n return Number(a.Judge > b.Judge);\n else\n return Number(a.ID > b.ID);\n },\n 'level-difficulty': (a: Problem, b: Problem) => {\n if (level.indexOf(a.Level) !== level.indexOf(b.Level))\n return Number(level.indexOf(a.Level) > level.indexOf(b.Level));\n else if (difficulty.indexOf(a.Difficulty) !== difficulty.indexOf(b.Difficulty))\n return Number(difficulty.indexOf(a.Difficulty) > difficulty.indexOf(b.Difficulty));\n else\n return problemSorter.default(a, b);\n }\n}\n\nexport const ProblemsDisplay = () => {\n const context = React.useContext(RecommenderContext);\n const { filters } = context.setting;\n\n const problems = context.data.problems\n .filter((problem) => {\n const options = problem.FilterOptions.map((option: FilterOption) => option.value);\n return filters.every((filter) => (\n filter.startsWith('keyword:')\n ? problem.Problem.toLowerCase().indexOf(filter.replace('keyword:', '').toLowerCase()) !== -1\n : options.includes(filter)\n ));\n })\n .sort(problemSorter[context.setting.sortOrder]);\n\n return (\n \n \n \n \n Showing {problems.length} problem{problems.length !== 1 && 's'} out\n of {context.data.problems.length} problem{context.data.problems.length !== 1 && 's'}.\n \n \n {problems.map((problem, id) => (\n \n ))}\n \n
\n );\n}\n","import React from 'react';\nimport { ProblemsFilter } from './ProblemsFilter/ProblemsFilter';\nimport { ProblemsDisplay } from './ProblemsDisplay';\nimport { RecommenderContext } from '../context/RecommenderContext';\nimport { fetchData } from '../util/fetch-data';\n\n/**\n * Handle data fetching and the communication between display elements.\n */\nexport function Recommender() {\n const context = React.useContext(RecommenderContext);\n\n // Ensure that fetchData is called once only.\n if (!context.fetched) {\n context.setState({\n ...context,\n fetched: true,\n });\n fetchData(context);\n }\n\n return (\n <>\n \n \n \n );\n}\n","import React from 'react';\nimport {\n Container,\n Image,\n Menu\n} from 'semantic-ui-react'\nimport logo from '../icons/syss.png';\nimport { Recommender } from './Recommender';\n\nexport function App() {\n return (\n <>\n \n \n \n \n Judge Recommender\n \n\n \n \n \n \n );\n}\n\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport { App } from './components/App';\nimport { RecommenderContextProvider } from './context/RecommenderContext';\n\nReactDOM.render(\n (\n \n \n \n ),\n document.getElementById('root')\n);\n","module.exports = __webpack_public_path__ + \"static/media/syss.2cd414b9.png\";"],"sourceRoot":""}