diff --git a/.eslintrc.js b/.eslintrc.js index a16f10b9..2f87a271 100644 --- a/.eslintrc.js +++ b/.eslintrc.js @@ -10,6 +10,13 @@ module.exports = { rules: { 'jsx-a11y/href-no-hash': ['off'], 'react/jsx-filename-extension': ['warn', { extensions: ['.js', '.jsx'] }], + 'react/destructuring-assignment': [ + 'warn', + 'always', + { + ignoreClassFields: false, + }, + ], 'max-len': [ 'warn', { diff --git a/.github/workflows/github-pages.yml b/.github/workflows/github-pages.yml new file mode 100644 index 00000000..80b6715c --- /dev/null +++ b/.github/workflows/github-pages.yml @@ -0,0 +1,41 @@ +name: github-pages + +on: + push: + branches: + - master + + workflow_run: + workflows: [run-cron] + types: + - completed + + workflow_dispatch: + +jobs: + build-and-deploy: + runs-on: ubuntu-latest + steps: + - name: Checkout Repository + uses: actions/checkout@v3 + + - name: Install dependencies and build + uses: actions/setup-node@v3 + with: + node-version: '14' + - run: npm ci + - run: npm run build + + - name: Check GitHub Pages status + uses: crazy-max/ghaction-github-status@v3 + with: + pages_threshold: major_outage + + - name: Deploy to gh-pages branch + if: success() + uses: crazy-max/ghaction-github-pages@v3 + with: + target_branch: gh-pages + build_dir: build + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/run-cron.yml b/.github/workflows/run-cron.yml new file mode 100644 index 00000000..4323290d --- /dev/null +++ b/.github/workflows/run-cron.yml @@ -0,0 +1,27 @@ +name: run-cron + +on: + schedule: + - cron: '0 12 * * 0' + + workflow_dispatch: + +jobs: + update: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions/setup-python@v4 + with: + python-version: '3.x' + architecture: 'x64' + - run: | + python -m pip install --upgrade pip + pip install requests python-leetcode + - run: | + python cron/update_questions.py + env: + LEETCODE_SESSION_TOKEN: ${{ secrets.LEETCODE_SESSION_TOKEN }} + - uses: stefanzweifel/git-auto-commit-action@v4 + with: + commit_message: Update questions via run-cron GitHub Action diff --git a/.gitignore b/.gitignore index 8692cf66..566a640a 100644 --- a/.gitignore +++ b/.gitignore @@ -22,3 +22,5 @@ npm-debug.log* yarn-debug.log* yarn-error.log* + +__pycache__ diff --git a/README.md b/README.md index 310873ad..7b801b7a 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,12 @@ -# Leetcode Patterns +# Leetcode Patterns [![github-pages](https://github.com/seanprashad/leetcode-patterns/actions/workflows/github-pages.yml/badge.svg)](https://github.com/seanprashad/leetcode-patterns/actions/workflows/github-pages.yml) [![run-cron](https://github.com/seanprashad/leetcode-patterns/actions/workflows/run-cron.yml/badge.svg)](https://github.com/seanprashad/leetcode-patterns/actions/workflows/run-cron.yml) ## Table of Contents - [Background](#background) -- [Preface](#preface) +- [Fundamentals](#fundamentals) - [Notes](#notes) - [Question List](#question-list) - [Solutions](#solutions) -- [Leetcode Discuss](#leetcode-discuss) -- [Tips to Consider](#tips-to-consider) - [Suggestions](#suggestions) - [Acknowledgements](#acknowledgements) @@ -22,10 +20,11 @@ repeatedly applying common patterns rather than randomly tackling questions. All questions are available on [leetcode.com] with some requiring [leetcode premium]. -## Preface +## Fundamentals -It is highly recommended to read chapters 1, 2, 3, 4, 8, and 10 of [Cracking The Coding Interview] -to familiarize yourself with the following data structures and their operations: +To find the greatest amount of success when practicing, it is highly recommended +to know the methods and runtimes of the following data structures and their +operations: - Arrays - Maps @@ -45,7 +44,7 @@ In addition, you should have a good grasp on common algorithms such as: ## Notes -[This pdf] contains useful information for the built-in data structures in Java. +[This pdf] contains information for the main data structures in Java. Other useful methods to know include [`substring()`](https://docs.oracle.com/javase/8/docs/api/java/lang/String.html#substring-int-int-), [`toCharArray()`](https://docs.oracle.com/javase/8/docs/api/java/lang/String.html#toCharArray--), [`Math.max()`](https://docs.oracle.com/javase/8/docs/api/java/lang/Math.html#max-int-int-), [`Math.min()`](https://docs.oracle.com/javase/8/docs/api/java/lang/Math.html#min-int-int-), and [`Arrays.fill()`](https://docs.oracle.com/javase/8/docs/api/java/util/Arrays.html#fill-int:A-int-). @@ -55,62 +54,10 @@ Other useful methods to know include [`substring()`](https://docs.oracle.com/jav The entire question list can be found here: https://seanprashad.com/leetcode-patterns/. -In addition to viewing the question list, companies that have previously asked -the question in the past 6 months (_as of May 2021_) will be listed. You can -also use the checkboxes to mark which questions you've completed! - ## Solutions Solutions written in Java can be found in the [solutions] branch. -## Leetcode Discuss - -[Leetcode discuss] is an amazing resource and features previous interview -questions, as well as compensation and general career advice. - -## Tips to Consider - -``` -If input array is sorted then - - Binary search - - Two pointers - -If asked for all permutations/subsets then - - Backtracking - -If given a tree then - - DFS - - BFS - -If given a graph then - - DFS - - BFS - -If given a linked list then - - Two pointers - -If recursion is banned then - - Stack - -If must solve in-place then - - Swap corresponding values - - Store one or more different values in the same pointer - -If asked for maximum/minumum subarray/subset/options then - - Dynamic programming - -If asked for top/least K items then - - Heap - -If asked for common strings then - - Map - - Trie - -Else - - Map/Set for O(1) time & O(n) space - - Sort input for O(nlogn) time and O(1) space -``` - ## Suggestions Think a question should/shouldn't be included? Wish there was another feature? @@ -119,18 +66,13 @@ Feel free to open an [issue] with your suggestion! ## Acknowledgements This list is heavily inspired from [Grokking the Coding Interview] with -additional problems extracted from the [Blind 75 list] and this medium article +additional problems extracted from the [Blind 75 list] and this hackernoon article on [14 patterns to ace any coding interview question]. [leetcode.com]: https://leetcode.com [leetcode premium]: https://leetcode.com/subscribe/ [this pdf]: https://drive.google.com/open?id=1ao4ZA28zzBttDkuS6MLQI52gDs_CJZEm -[cracking the coding interview]: http://www.crackingthecodinginterview.com/contents.html -[here]: https://hackernoon.com/14-patterns-to-ace-any-coding-interview-question-c5bb3357f6ed -[topcoder]: https://www.topcoder.com/community/competitive-programming/tutorials/dynamic-programming-from-novice-to-advanced/ -[back to back swe youtube channel]: https://www.youtube.com/watch?v=jgiZlGzXMBw [solutions]: https://github.com/SeanPrashad/leetcode-patterns/tree/solutions -[leetcode discuss]: https://leetcode.com/discuss/interview-question [grokking the coding interview]: https://www.educative.io/courses/grokking-the-coding-interview [issue]: https://github.com/SeanPrashad/leetcode-patterns/issues/new [blind 75 list]: https://www.teamblind.com/article/New-Year-Gift---Curated-List-of-Top-100-LeetCode-Questions-to-Save-Your-Time-OaM1orEU?utm_source=share&utm_medium=ios_app diff --git a/cron/update_questions.py b/cron/update_questions.py new file mode 100644 index 00000000..d16eaf72 --- /dev/null +++ b/cron/update_questions.py @@ -0,0 +1,132 @@ +import os +import json +import leetcode +import leetcode.auth +from datetime import datetime +from leetcode.rest import ApiException + + +def create_leetcode_api(): + LEETCODE_SESSION_TOKEN = os.environ.get("LEETCODE_SESSION_TOKEN") + csrf_token = os.environ.get("LEETCODE_CSRF_TOKEN") + + configuration = leetcode.Configuration() + + configuration.api_key["x-csrftoken"] = csrf_token + configuration.api_key["csrftoken"] = csrf_token + configuration.api_key["LEETCODE_SESSION"] = LEETCODE_SESSION_TOKEN + configuration.api_key["Referer"] = "https://leetcode.com" + configuration.debug = False + + return leetcode.DefaultApi(leetcode.ApiClient(configuration)) + + +def get_question_metadata(api, title_slug): + graphql_request = leetcode.GraphqlQuery( + query='''query questionData($titleSlug: String!) { + question(titleSlug: $titleSlug) { + title + difficulty + companyTagStats + isPaidOnly + } + } + ''', + variables=leetcode.GraphqlQueryGetQuestionDetailVariables( + title_slug=title_slug) + ) + + try: + response = api.graphql_post(body=graphql_request) + return response + except ApiException as e: + print( + f'Exception occurred when contacting the Leetcode GraphQL API: ${e}') + exit() + + +def construct_company_tag_list(company_tags_json, sections): + companies = [] + + for section in sections: + for company in company_tags_json[section]: + companies.append({ + "name": company["name"], + "slug": company["slug"], + "frequency": company["timesEncountered"] + }) + + return sorted(companies, key=lambda d: d['frequency'], reverse=True) + + +def update_question_metadata(question, response): + print(f'''🔄 Updating question metadata for {question["title"]}''') + + question_title = response.data.question.title + question_difficulty = response.data.question.difficulty + question_company_tags = json.loads( + response.data.question.company_tag_stats) + question_is_premium = response.data.question.is_paid_only + + # Retrieve companies who have asked this question for the following two + # company_tag_stat sections: + # 1. 0-6 months + # 2. 6 months to 1 year + companies = construct_company_tag_list( + question_company_tags, ["1", "2"]) + + question["title"] = question_title + question["difficulty"] = question_difficulty + question["companies"] = companies + question["premium"] = question_is_premium + + +def read_questions(file_name): + print(f"💾 Loading {file_name}") + + try: + with open(file_name, "r") as file: + questions = json.load(file) + print(f"✅ Finished loading {file_name}") + return questions + except Exception as e: + print( + f"❌ Exception occurred when reading {file_name}: {e}") + exit() + + +def write_questions(file_name, questions): + print(f"💾 Updating {file_name}") + + try: + with open(file_name, "w") as file: + questions["updated"] = str(datetime.now().isoformat()) + json.dump(questions, file, indent=2) + print(f"✅ Finished updating {file_name}") + except Exception as e: + print( + f"❌ Exception occurred when writing {file_name}: {e}") + exit() + + +def main(file_name): + api = create_leetcode_api() + questions = read_questions(file_name) + + for question in questions["data"]: + title_slug = question["slug"] + + response = get_question_metadata(api, title_slug) + + update_question_metadata(question, response) + + write_questions(file_name, questions) + + +if __name__ == "__main__": + file_name = os.getcwd() + "/src/data/questions.json" + startTime = datetime.now() + + main(file_name) + + print(f"⏱️ Data updated in {datetime.now() - startTime} seconds") diff --git a/package-lock.json b/package-lock.json index 37e2cb99..e5427d0b 100644 --- a/package-lock.json +++ 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b/public/static/images/DesignGurus.png differ diff --git a/public/assets/images/Hackernoon.png b/public/static/images/Hackernoon.png similarity index 100% rename from public/assets/images/Hackernoon.png rename to public/static/images/Hackernoon.png diff --git a/src/components/Acknowledgements/index.js b/src/components/Acknowledgements/index.js index c4523364..6216f1aa 100644 --- a/src/components/Acknowledgements/index.js +++ b/src/components/Acknowledgements/index.js @@ -14,9 +14,9 @@ import { Event } from '../Shared/Tracking'; import './styles.scss'; -const imagePath = `${process.env.PUBLIC_URL}/assets/images/`; +const imagePath = `${process.env.PUBLIC_URL}/static/images/`; const Blind = `${imagePath}Blind.png`; -const Educative = `${imagePath}Educative.png`; +const DesignGurus = `${imagePath}DesignGurus.png`; const Hackernoon = `${imagePath}Hackernoon.png`; const Acknowledgements = () => { @@ -49,22 +49,24 @@ const Acknowledgements = () => { - + - Grokking the Coding Interview + + Grokking the Coding Interview: Patterns for Coding Questions + { Event( 'Acknowledgements', 'Clicked URL', - 'Educative.io url', + 'DesignGurus.io url', ); }} > - https://www.educative.io/courses/grokking-the-coding-interview + https://www.designgurus.io/course/grokking-the-coding-interview diff --git a/src/components/Acknowledgements/styles.scss b/src/components/Acknowledgements/styles.scss index 92e38243..3602f44c 100644 --- a/src/components/Acknowledgements/styles.scss +++ b/src/components/Acknowledgements/styles.scss @@ -13,3 +13,13 @@ padding: 0; } } + +body.dark-mode .acknowledgements { + background-color: #161a1d; + color: #ffffff; + + .card { + background-color: #1d2125; + color: #ffffff; + } +} diff --git a/src/components/App.js b/src/components/App.js index c52b14f4..9367c785 100644 --- a/src/components/App.js +++ b/src/components/App.js @@ -5,12 +5,11 @@ import './styles.scss'; import Navigation from './Navigation'; import Tabs from './Tabs'; -import { initGA, PageView } from './Shared/Tracking'; +import { initGA } from './Shared/Tracking'; class App extends React.Component { componentDidMount() { - initGA('UA-203108441-2', { debug: false }); - PageView(); + initGA('G-J7FBQPGZTW'); } render() { diff --git a/src/components/Dark-Mode/index.js b/src/components/Dark-Mode/index.js new file mode 100644 index 00000000..44378efc --- /dev/null +++ b/src/components/Dark-Mode/index.js @@ -0,0 +1,34 @@ +import React, { useState, useEffect } from 'react'; +import Toggle from 'react-toggle'; + +const DarkMode = () => { + const [darkMode, setDarkMode] = useState(() => { + const savedMode = localStorage.getItem('darkMode'); + return savedMode ? JSON.parse(savedMode) : false; + }); + + const toggleDarkMode = () => { + setDarkMode(prevMode => { + const newMode = !prevMode; + localStorage.setItem('darkMode', newMode); + return newMode; + }); + }; + useEffect(() => { + document.body.className = darkMode ? 'dark-mode' : 'light-mode'; + }, [darkMode]); + + return ( + 🌙, + unchecked: ☀️, + }} + /> + ); +}; + +export default DarkMode; diff --git a/src/components/Navigation/index.js b/src/components/Navigation/index.js index b23fbf14..8457c683 100644 --- a/src/components/Navigation/index.js +++ b/src/components/Navigation/index.js @@ -11,10 +11,11 @@ import { FaGithub } from 'react-icons/fa'; import { Event } from '../Shared/Tracking'; import './styles.scss'; +import DarkMode from '../Dark-Mode'; const Navigation = () => { return ( - + @@ -34,6 +35,7 @@ const Navigation = () => { + ); diff --git a/src/components/Navigation/styles.scss b/src/components/Navigation/styles.scss index dce9bfad..b8749e2c 100644 --- a/src/components/Navigation/styles.scss +++ b/src/components/Navigation/styles.scss @@ -1,3 +1,31 @@ +.navbar.sticky { + position: sticky; + top: 0; + z-index: 1; +} + +body.light-mode .navbar { + background-color: #f7f8f9; + color: #000000; +} +body.light-mode .navbar a { + color: #212529; +} + +body.dark-mode .navbar { + background-color: #1d2125; + color: #ffffff; +} +body.dark-mode .navbar a { + color: #ffffff; +} +body.dark-mode .navbar-nav svg { + color: #ffffff; +} +body.dark-mode .navbar-nav svg:hover { + color: #ffc952; +} + .navbar-brand { font-weight: 600; letter-spacing: 1px; @@ -29,5 +57,6 @@ svg { font-size: 2em; + margin: 0px 10px; } } diff --git a/src/components/PatternFrequencies/index.js b/src/components/PatternFrequencies/index.js new file mode 100644 index 00000000..040a08f0 --- /dev/null +++ b/src/components/PatternFrequencies/index.js @@ -0,0 +1,74 @@ +import { Badge } from 'reactstrap'; +import React from 'react'; +// eslint-disable-next-line import/no-extraneous-dependencies +import PropTypes from 'prop-types'; +import './styles.scss'; + +const PatternFrequencies = ({ filters, rows }) => { + const patternsMap = rows.reduce((acc, row) => { + for (let i = 0; i < row.original.pattern.length; i += 1) { + const pattern = row.original.pattern[i]; + acc[pattern] = acc[pattern] + 1 || 1; + } + return acc; + }, Object.create(null)); + const sortedPatternsByFrequency = Object.keys(patternsMap).sort( + (a, b) => patternsMap[b] - patternsMap[a], + ); + const showComponent = filters.find(filter => + ['companies', 'difficulty'].includes(filter.id), + ); + + const getFrequencyClass = rate => { + const highestFrequency = Math.round( + patternsMap[sortedPatternsByFrequency[0]], + ); + + if (highestFrequency / 3 < 1) { + return ''; + } + + const frequencyRate = { + easy: Math.round(highestFrequency / 3), + medium: Math.round((highestFrequency / 3) * 2), + hard: highestFrequency, + }; + + return Object.keys(frequencyRate).find(key => rate <= frequencyRate[key]); + }; + + return showComponent ? ( +
+
Problems pattern frequency
+ {sortedPatternsByFrequency.map((pattern, index) => ( + + + {pattern} : {patternsMap[pattern]} + + + ))} +
+ ) : null; +}; + +PatternFrequencies.propTypes = { + filters: PropTypes.arrayOf( + PropTypes.shape({ id: PropTypes.string, value: PropTypes.string }), + ).isRequired, + rows: PropTypes.arrayOf( + PropTypes.shape({ + original: PropTypes.shape({ + pattern: PropTypes.arrayOf(PropTypes.string), + }), + }), + ).isRequired, +}; + +export default PatternFrequencies; diff --git a/src/components/PatternFrequencies/styles.scss b/src/components/PatternFrequencies/styles.scss new file mode 100644 index 00000000..7276352b --- /dev/null +++ b/src/components/PatternFrequencies/styles.scss @@ -0,0 +1,11 @@ +.pattern-count { + padding: 0.75em; + + h5 { + font-weight: bold; + } + + .badge { + margin: 0.25em 0.25em; + } +} diff --git a/src/components/Shared/Tracking/index.js b/src/components/Shared/Tracking/index.js index 9d0f0f13..8ca524ec 100644 --- a/src/components/Shared/Tracking/index.js +++ b/src/components/Shared/Tracking/index.js @@ -1,11 +1,12 @@ -import ReactGA from 'react-ga'; +import ReactGA from 'react-ga4'; const initGA = (trackingID, options) => { - ReactGA.initialize(trackingID, { ...options }); -}; - -const PageView = () => { - ReactGA.pageview(window.location.pathname + window.location.search); + ReactGA.initialize([ + { + trackingId: trackingID, + gaOptions: { ...options }, + }, + ]); }; const Event = (category, action, label) => { @@ -16,4 +17,4 @@ const Event = (category, action, label) => { }); }; -export { initGA, PageView, Event }; +export { initGA, Event }; diff --git a/src/components/Table/filters.js b/src/components/Table/filters.js index 362f83f2..5f9c2284 100644 --- a/src/components/Table/filters.js +++ b/src/components/Table/filters.js @@ -1,10 +1,11 @@ import React from 'react'; -function CreateDropDownListHelper(options, filterValue, setFilter) { +function CreateDropDownListHelper(options, filterValue, setFilter, id) { return ( { - checked[cellInfo.row.original.id] = !checked[ - cellInfo.row.original.id - ]; - - const additive = checked[cellInfo.row.original.id] ? 1 : -1; - difficultyCount[ - cellInfo.row.original.difficulty - ] += additive; - - setDifficultyCount(difficultyCount); - setChecked([...checked]); - }} - /> + + { + checked[cellInfo.row.original.id] = !checked[ + cellInfo.row.original.id + ]; + const currentTime = new Date().toISOString().slice(0, 10); + // const updatedCheckedAt = [...checkedAt]; + checkedAt[cellInfo.row.original.id] = checked[ + cellInfo.row.original.id + ] + ? currentTime + : null; + const question = questions.find( + q => q.id === cellInfo.row.original.id, + ); + if (checked[cellInfo.row.original.id]) { + question.checkbox = 'Checked'; + } else { + question.checkbox = 'Unchecked'; + } + const additive = checked[cellInfo.row.original.id] + ? 1 + : -1; + difficultyCount[ + cellInfo.row.original.difficulty + ] += additive; + difficultyCount.Total += additive; + setDifficultyCount(difficultyCount); + setChecked([...checked]); + setData(filteredByCheckbox()); + setCheckedAt([...checkedAt]); + }} + /> + ); }, + Filter: SelectCheckedColumnFilter, }, { - Header: 'Questions', + /* eslint-disable react/prop-types */ + Header: ({ filteredRows }) => { + const disableRandomQuestionButton = filteredRows.length === 0; + + const randomQuestion = () => { + const random = Math.floor(Math.random() * filteredRows.length); + const randomFilteredRow = filteredRows[random]; + const questionSlug = randomFilteredRow.original.slug; + /* eslint-enable react/prop-types */ + + window.open( + `https://leetcode.com/problems/${questionSlug}/`, + '_blank', + ); + }; + return ( + <> +
+ + + +
+
+ Questions{' '} + +
+ + ); + }, accessor: 'questions', disableSortBy: true, Cell: cellInfo => { return ( { Event( 'Table', - 'Clicked question url', - `${cellInfo.row.original.name} question url`, + 'Clicked question title', + `${cellInfo.row.original.title} question title`, ); }} > @@ -181,7 +335,7 @@ const Table = () => { ) : ( '' )} - {cellInfo.row.original.name} + {cellInfo.row.original.title} ); }, @@ -192,9 +346,7 @@ const Table = () => { accessor: 'solutions', disableSortBy: true, Cell: cellInfo => { - const url = cellInfo.row.original.premium - ? `${cellInfo.row.original.url}/` - : cellInfo.row.original.url; + const url = `https://leetcode.com/problems/${cellInfo.row.original.slug}/`; return ( { Event( 'Table', 'Clicked solution', - `${cellInfo.row.original.name} solution`, + `${cellInfo.row.original.slug} solution`, ); }} > @@ -237,6 +389,7 @@ const Table = () => { }, accessor: 'pattern', disableSortBy: true, + id: 'pattern', Cell: cellInfo => { const patterns = `${cellInfo.row.original.pattern}` .split(',') @@ -264,6 +417,7 @@ const Table = () => { { Header: 'Difficulty', accessor: 'difficulty', + id: 'difficulty', disableSortBy: true, Cell: cellInfo => ( @@ -279,20 +433,28 @@ const Table = () => { }, { Header: () => { + const date = new Date(updated); + const month = date.toLocaleString('default', { + month: 'long', + }); + const day = date.getDate(); + const year = date.getFullYear(); return ( <>
Companies{' '} - +
); }, - accessor: 'companies', + accessor: 'companyNames', sortType: (a, b) => { if (a.original.companies.length === b.original.companies.length) { return 0; @@ -302,13 +464,15 @@ const Table = () => { : -1; }, Cell: cellInfo => { + const questionSlug = cellInfo.row.original.slug; const companies = cellInfo.row.original.companies.map(company => { + const tooltipText = `Asked by ${company.name} ${company.frequency} times`; return ( {company} ); }); @@ -317,17 +481,32 @@ const Table = () => { }, Filter: SelectColumnFilter, }, + { + Header: 'Last Solved On', + accessor: 'LastSolvedOn', + disableSortBy: true, + Cell: cellInfo => { + return ( +
+ {checkedAt[cellInfo.row.original.id]} +
+ ); + }, + disableFilters: true, + }, ], }, ], // eslint-disable-next-line - [], + [resetCount], ); const { getTableProps, getTableBodyProps, headerGroups, + filteredRows, + state: { filters }, rows, prepareRow, } = useTable( @@ -335,6 +514,26 @@ const Table = () => { columns, data, defaultColumn, + initialState: { + filters: [ + { + id: 'checkbox', + value: localStorage.getItem('checkbox') || '', + }, + { + id: 'difficulty', + value: localStorage.getItem('difficulty') || '', + }, + { + id: 'pattern', + value: localStorage.getItem('pattern') || '', + }, + { + id: 'companyNames', + value: localStorage.getItem('companyNames') || '', + }, + ], + }, }, useFilters, useSortBy, @@ -343,6 +542,7 @@ const Table = () => { return ( + {headerGroups.map(headerGroup => ( @@ -384,4 +584,35 @@ const Table = () => { ); }; +const ProgressBar = ({ name, value, total, className, barClassName }) => { + return ( +
+
+
{name}
+
+ {value}/{total} +
+
+ +
+ ); +}; + +ProgressBar.propTypes = { + name: PropTypes.string.isRequired, + value: PropTypes.number.isRequired, + total: PropTypes.number.isRequired, + className: PropTypes.string, + barClassName: PropTypes.string, +}; + +ProgressBar.defaultProps = { + className: 'progress-bar-sm', + barClassName: null, +}; + export default Table; diff --git a/src/components/Table/styles.scss b/src/components/Table/styles.scss index f55888e1..5c566b27 100644 --- a/src/components/Table/styles.scss +++ b/src/components/Table/styles.scss @@ -1,3 +1,54 @@ +body.light-mode .table { + background-color: #ffffff; + color: #000000; +} +body.light-mode .table thead > tr th { + background-color: #ffffff; +} +body.light-mode .pattern-count { + background-color: #ffffff; + color: #000000; +} +body.light-mode .table tr:nth-child(odd) { + background-color: #f1f2f4; +} +body.light-mode .table tr:nth-child(even) { + background-color: #ffffff; +} +body.light-mode .table tbody tr:hover { + background-color: #dcdfe4; + color: #000000; +} + +body.dark-mode .table { + background-color: #161a1d; + color: #ffffff; +} +body.dark-mode .table thead > tr th { + background-color: #161a1d; +} +body.dark-mode .pattern-count { + background-color: #161a1d; + color: #ffffff; +} +body.dark-mode .table tr:nth-child(odd) { + background-color: #22272b; +} +body.dark-mode .table tr:nth-child(even) { + background-color: #161a1d; +} +body.dark-mode .table tbody tr:hover { + background-color: #101214; + color: #ffffff; +} +body.dark-mode .modal-content { + background-color: #1d2125; + color: #ffffff; + .close { + color: #ffffff; + } +} + .table { .row { justify-content: center; @@ -11,7 +62,8 @@ > tr th { background: white; position: sticky; - top: 0; + top: 50px; + text-wrap: nowrap; } } @@ -19,6 +71,23 @@ padding: 0; } + #difficultyProgress { + margin-bottom: 25px; + font-size: 11.5px; + } + + #difficultyProgress > div:nth-child(n + 2) { + margin-top: 12px; + } + + .progress-pie { + height: 75px; + } + + .progress-bar-sm { + height: 5px; + } + .easy { background-color: #5cb85c; } @@ -37,7 +106,20 @@ margin: 0; } + .companies img { + padding: 5px; + } + .react-toggle { top: 7px; } + + .reset-button { + margin-top: 10px; + margin-bottom: 10px; + font-size: 0.7rem; + } + .lastSolvedOn { + text-wrap: nowrap; + } } diff --git a/src/components/Tips/index.js b/src/components/Tips/index.js index 95f3f9a8..9bad14ee 100644 --- a/src/components/Tips/index.js +++ b/src/components/Tips/index.js @@ -31,11 +31,13 @@ If must solve in-place then - Swap corresponding values - Store one or more different values in the same pointer -If asked for maximum/minumum subarray/subset/options then +If asked for maximum/minimum subarray/subset/options then - Dynamic programming +- Sliding window If asked for top/least K items then - Heap +- QuickSelect If asked for common strings then - Map diff --git a/src/components/Tips/styles.scss b/src/components/Tips/styles.scss index a96bf7fa..84ef3d7e 100644 --- a/src/components/Tips/styles.scss +++ b/src/components/Tips/styles.scss @@ -7,3 +7,17 @@ color: #333; background: #f8f8f8; } +body.light-mode .tips { + background-color: #f7f8f9; + color: #333; +} + +body.dark-mode .tips { + background-color: #1d2125; + color: #ffffff; +} +body.dark-mode .tips pre, +body.dark-mode .tips code { + background-color: #1d2125; + color: #ffffff; +} diff --git a/src/components/styles.scss b/src/components/styles.scss index eb814e6a..71c678b7 100644 --- a/src/components/styles.scss +++ b/src/components/styles.scss @@ -1,10 +1,33 @@ @import url('https://fonts.googleapis.com/css?family=Open+Sans:400,700'); .App { - margin-left: calc(100vw - 100%); margin-right: 0; - font-family: 'Open Sans', sans-serif; font-size: 14px; -webkit-font-smoothing: antialiased !important; } + +body.light-mode { + background-color: #ffffff; + color: #000000; +} +body.light-mode a { + color: #0c66e4; +} + +body.dark-mode { + background-color: #161a1d; + color: #ffffff; +} +body.dark-mode a { + color: #579dff; +} + +.react-toggle-track-check, +.react-toggle-track-x { + display: inline-flex; + justify-content: center; + align-items: center; + margin: 0 !important; + height: 100% !important; +} diff --git a/src/data/index.js b/src/data/index.js index 41ebaa92..4edd0868 100644 --- a/src/data/index.js +++ b/src/data/index.js @@ -1,2148 +1,11 @@ -const questions = [ - { - id: 0, - name: 'Contains Duplicate', - url: 'https://leetcode.com/problems/contains-duplicate/', - pattern: ['Arrays'], - difficulty: 'Easy', - premium: false, - companies: ['Apple', 'Microsoft', 'Adobe'], - }, - { - id: 1, - name: 'Missing Number', - url: 'https://leetcode.com/problems/missing-number/', - pattern: ['Arrays', 'Bit Manipulation'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Capital One', - 'Amazon', - 'Apple', - 'Facebook', - 'Microsoft', - 'Goldman Sachs', - ], - }, - { - id: 2, - name: 'Find All Numbers Disappeared in an Array', - url: - 'https://leetcode.com/problems/find-all-numbers-disappeared-in-an-array/', - pattern: ['Arrays'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon'], - }, - { - id: 3, - name: 'Single Number', - url: 'https://leetcode.com/problems/single-number/', - pattern: ['Arrays', 'Bit Manipulation'], - difficulty: 'Easy', - premium: false, - companies: ['Google', 'Amazon', 'Facebook'], - }, - { - id: 4, - name: 'Product of Array Except Self', - url: 'https://leetcode.com/problems/product-of-array-except-self/', - pattern: ['Arrays'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Apple', - 'Microsoft', - 'Asana', - 'Lyft', - 'Adobe', - 'Uber', - 'Oracle', - ], - }, - { - id: 5, - name: 'Find the Duplicate Number', - url: 'https://leetcode.com/problems/find-the-duplicate-number/', - pattern: ['Arrays', 'Binary Search', 'Two Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Amazon', 'Apple', 'Google', 'Bloomberg'], - }, - { - id: 6, - name: 'Find All Duplicates in an Array', - url: 'https://leetcode.com/problems/find-all-duplicates-in-an-array/', - pattern: ['Arrays'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Microsoft', 'Facebook'], - }, - { - id: 7, - name: 'Set Matrix Zeroes', - url: 'https://leetcode.com/problems/set-matrix-zeroes/', - pattern: ['Arrays'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Microsoft', - 'Amazon', - 'Oracle', - 'Goldman Sachs', - 'Apple', - ], - }, - { - id: 8, - name: 'Spiral Matrix', - url: 'https://leetcode.com/problems/spiral-matrix/', - pattern: ['Arrays'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Apple', 'Facebook', 'Google', 'Amazon', 'Adobe'], - }, - { - id: 9, - name: 'Rotate Image', - url: 'https://leetcode.com/problems/rotate-image/', - pattern: ['Arrays'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Apple', - 'Uber', - 'Adobe', - 'Google', - 'Bloomberg', - 'Facebook', - 'Quora', - ], - }, - { - id: 10, - name: 'Word Search', - url: 'https://leetcode.com/problems/word-search/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Bloomberg', - 'Microsoft', - 'Intuit', - 'Snapchat', - 'Facebook', - 'Apple', - 'Oracle', - 'Pinterest', - 'Google', - 'Twitter', - ], - }, - - { - id: 11, - name: 'First Missing Positive', - url: 'https://leetcode.com/problems/first-missing-positive/', - pattern: ['Arrays'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Microsoft', - 'Facebook', - 'Amazon', - 'Oracle', - 'Google', - 'Apple', - 'Adobe', - 'Uber', - ], - }, - { - id: 12, - name: 'Longest Consecutive Sequence', - url: 'https://leetcode.com/problems/longest-consecutive-sequence/', - pattern: ['Arrays'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Google', - 'Microsoft', - 'Amazon', - 'Facebook', - 'Twitter', - 'Qualtrics', - ], - }, - - { - id: 13, - name: 'Letter Case Permutation', - url: 'https://leetcode.com/problems/letter-case-permutation/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Bloomberg', 'Amazon'], - }, - { - id: 14, - name: 'Subsets', - url: 'https://leetcode.com/problems/subsets/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Bloomberg', 'Uber', 'Microsoft'], - }, - { - id: 15, - name: 'Subsets II', - url: 'https://leetcode.com/problems/subsets-ii/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon'], - }, - { - id: 16, - name: 'Permutations', - url: 'https://leetcode.com/problems/permutations/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Microsoft', - 'LinkedIn', - 'Apple', - 'Oracle', - ], - }, - { - id: 17, - name: 'Permutations II', - url: 'https://leetcode.com/problems/permutations-ii/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Microsoft'], - }, - { - id: 18, - name: 'Combinations', - url: 'https://leetcode.com/problems/combinations/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Apple'], - }, - { - id: 19, - name: 'Combination Sum', - url: 'https://leetcode.com/problems/combination-sum/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Airbnb', - 'Microsoft', - 'Bloomberg', - 'Amazon', - 'Apple', - 'Google', - 'Uber', - 'Adobe', - ], - }, - { - id: 20, - name: 'Combination Sum II', - url: 'https://leetcode.com/problems/combination-sum-ii/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon'], - }, - { - id: 21, - name: 'Combination Sum III', - url: 'https://leetcode.com/problems/combination-sum-iii/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Google', 'Amazon', 'Bloomberg'], - }, - { - id: 22, - name: 'Generate Parentheses', - url: 'https://leetcode.com/problems/generate-parentheses/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Microsoft', - 'Amazon', - 'Facebook', - 'Google', - 'Bloomberg', - 'Adobe', - 'Apple', - ], - }, - { - id: 23, - name: 'Target Sum', - url: 'https://leetcode.com/problems/target-sum/', - pattern: ['DFS', 'Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook'], - }, - { - id: 24, - name: 'Palindrome Partitioning', - url: 'https://leetcode.com/problems/palindrome-partitioning/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: ['Apple', 'Google', 'Facebook'], - }, - { - id: 25, - name: 'Letter Combinations of a Phone Number', - url: 'https://leetcode.com/problems/letter-combinations-of-a-phone-number/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Facebook', - 'Apple', - 'Oracle', - 'Google', - 'Uber', - 'JPMorgan', - ], - }, - { - id: 26, - name: 'Generalized Abbreviation', - url: 'https://leetcode.com/problems/generalized-abbreviation/', - pattern: ['Backtracking'], - difficulty: 'Medium', - premium: true, - companies: ['Google'], - }, - { - id: 27, - name: 'Sudoku Solver', - url: 'https://leetcode.com/problems/sudoku-solver/', - pattern: ['Backtracking'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Microsoft', - 'Oracle', - 'Facebook', - 'Amazon', - 'Pinterest', - 'Intuit', - ], - }, - { - id: 28, - name: 'N-Queens', - url: 'https://leetcode.com/problems/n-queens/', - pattern: ['Backtracking'], - difficulty: 'Hard', - premium: false, - companies: ['Facebook', 'Amazon', 'Microsoft', 'Adobe'], - }, - { - id: 29, - name: 'Climbing Stairs', - url: 'https://leetcode.com/problems/climbing-stairs/', - pattern: ['Dynamic Programming'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Adobe', - 'Amazon', - 'Apple', - 'Goldman Sachs', - 'Uber', - 'Google', - 'Intuit', - ], - }, - { - id: 30, - name: 'House Robber', - url: 'https://leetcode.com/problems/house-robber/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Amazon', 'Bloomberg', 'Oracle'], - }, - { - id: 31, - name: 'Best Time to Buy and Sell Stock', - url: 'https://leetcode.com/problems/best-time-to-buy-and-sell-stock/', - pattern: ['Dynamic Programming'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Facebook', - 'Apple', - 'Google', - 'Adobe', - 'Bloomberg', - 'Goldman Sachs', - 'Uber', - 'Snapchat', - 'Intuit', - ], - }, - { - id: 32, - name: 'Maximum Subarray', - url: 'https://leetcode.com/problems/maximum-subarray/', - pattern: ['Dynamic Programming'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Microsoft', - 'Amazon', - 'LinkedIn', - 'Apple', - 'Google', - 'Adobe', - 'Bloomberg', - 'Facebook', - 'Oracle', - ], - }, - { - id: 33, - name: 'Range Sum Query - Immutable', - url: 'https://leetcode.com/problems/range-sum-query-immutable/', - pattern: ['Dynamic Programming'], - difficulty: 'Easy', - premium: false, - companies: ['Facebook'], - }, - { - id: 34, - name: 'House Robber II', - url: 'https://leetcode.com/problems/house-robber-ii/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft'], - }, - { - id: 35, - name: 'Coin Change', - url: 'https://leetcode.com/problems/coin-change/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Bloomberg', - 'Amazon', - 'Goldman Sachs', - 'Microsoft', - 'Apple', - 'Uber', - 'Oracle', - 'Facebook', - 'Airbnb', - 'BlackRock', - ], - }, - { - id: 36, - name: 'Maximum Product Subarray', - url: 'https://leetcode.com/problems/maximum-product-subarray/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'LinkedIn', - 'Amazon', - 'Google', - 'Facebook', - 'Apple', - 'Akuna Capital', - ], - }, - { - id: 37, - name: 'Longest Increasing Subsequence', - url: 'https://leetcode.com/problems/longest-increasing-subsequence/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Apple', - 'Amazon', - 'Facebook', - 'Google', - 'Microsoft', - 'Bloomberg', - 'Twitter', - ], - }, - { - id: 38, - name: 'Longest Palindromic Substring', - url: 'https://leetcode.com/problems/longest-palindromic-substring/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Facebook', - 'Adobe', - 'Google', - 'Goldman Sachs', - 'Oracle', - 'Apple', - ], - }, - { - id: 39, - name: 'Word Break', - url: 'https://leetcode.com/problems/word-break/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Microsoft', - 'Bloomberg', - 'Qualtrics', - 'Google', - 'Oracle', - ], - }, - { - id: 40, - name: 'Combination Sum IV', - url: 'https://leetcode.com/problems/combination-sum-iv/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Apple'], - }, - { - id: 41, - name: 'Decode Ways', - url: 'https://leetcode.com/problems/decode-ways/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'JPMorgan', - 'Google', - 'Facebook', - 'Lyft', - 'Goldman Sachs', - 'Microsoft', - 'Apple', - 'Uber', - ], - }, - { - id: 42, - name: 'Unique Paths', - url: 'https://leetcode.com/problems/unique-paths/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Amazon', 'Facebook', 'Google', 'Salesforce'], - }, - { - id: 43, - name: 'Jump Game', - url: 'https://leetcode.com/problems/jump-game/', - pattern: ['Dynamic Programming', 'Greedy'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Apple', 'Microsoft'], - }, - { - id: 44, - name: 'Palindromic Substrings', - url: 'https://leetcode.com/problems/palindromic-substrings/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Goldman Sachs', - 'Facebook', - 'Twitter', - 'Google', - 'Microsoft', - 'Amazon', - 'Bloomberg', - ], - }, - { - id: 45, - name: 'Number of Longest Increasing Subsequence', - url: - 'https://leetcode.com/problems/number-of-longest-increasing-subsequence/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Bloomberg', 'Facebook'], - }, - { - id: 46, - name: 'Partition Equal Subset Sum', - url: 'https://leetcode.com/problems/partition-equal-subset-sum/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook', 'Microsoft'], - }, - { - id: 47, - name: 'Partition to K Equal Sum Subsets', - url: 'https://leetcode.com/problems/partition-to-k-equal-sum-subsets/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['LinkedIn', 'Google', 'Amazon', 'Facebook', 'Adobe'], - }, - { - id: 48, - name: 'Best Time to Buy and Sell Stock with Cooldown', - url: - 'https://leetcode.com/problems/best-time-to-buy-and-sell-stock-with-cooldown/', - pattern: ['Dynamic Programming'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook', 'Adobe', 'Goldman Sachs'], - }, - { - id: 49, - name: 'Counting Bits', - url: 'https://leetcode.com/problems/counting-bits/', - pattern: ['Dynamic Programming', 'Bit Manipulation'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Apple'], - }, - { - id: 50, - name: 'Linked List Cycle', - url: 'https://leetcode.com/problems/linked-list-cycle/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Microsoft', - 'Amazon', - 'Apple', - 'Goldman Sachs', - 'Google', - 'Bloomberg', - ], - }, - { - id: 51, - name: 'Middle of the Linked List', - url: 'https://leetcode.com/problems/middle-of-the-linked-list/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Easy', - premium: false, - companies: ['Microsoft'], - }, - { - id: 52, - name: 'Palindrome Linked List', - url: 'https://leetcode.com/problems/palindrome-linked-list/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Microsoft', - 'Facebook', - 'Amazon', - 'Capital One', - 'Adobe', - 'Bloomberg', - 'Google', - 'Oracle', - ], - }, - { - id: 53, - name: 'Remove Linked List Elements', - url: 'https://leetcode.com/problems/remove-linked-list-elements/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Easy', - premium: false, - companies: ['Facebook', 'Amazon', 'Google', 'Microsoft', 'Apple'], - }, - { - id: 54, - name: 'Remove Duplicates from Sorted List', - url: 'https://leetcode.com/problems/remove-duplicates-from-sorted-list/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Easy', - premium: false, - companies: ['Goldman Sachs', 'Adobe', 'Amazon'], - }, - { - id: 55, - name: 'Linked List Cycle II', - url: 'https://leetcode.com/problems/linked-list-cycle-ii/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Microsoft'], - }, - { - id: 56, - name: 'Add Two Numbers', - url: 'https://leetcode.com/problems/add-two-numbers/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Bloomberg', - 'Microsoft', - 'Google', - 'Facebook', - 'Apple', - 'Adobe', - 'Oracle', - 'Uber', - ], - }, - { - id: 57, - name: 'Remove Nth Node From End Of List', - url: 'https://leetcode.com/problems/remove-nth-node-from-end-of-list/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Apple', 'Bloomberg'], - }, - { - id: 58, - name: 'Sort List', - url: 'https://leetcode.com/problems/sort-list/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Microsoft', 'Adobe'], - }, - { - id: 59, - name: 'Reorder List', - url: 'https://leetcode.com/problems/reorder-list/', - pattern: ['Fast & Slow Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook', 'Lyft'], - }, - { - id: 60, - name: 'Clone Graph', - url: 'https://leetcode.com/problems/clone-graph/', - pattern: ['BFS', 'DFS', 'Graph'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Microsoft', - 'Bloomberg', - 'Twitter', - 'Uber', - 'Adobe', - 'Apple', - ], - }, - { - id: 61, - name: 'Pacific Atlantic Water Flow', - url: 'https://leetcode.com/problems/pacific-atlantic-water-flow/', - pattern: ['BFS', 'DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Google', 'Amazon'], - }, - { - id: 62, - name: 'Number of Islands', - url: 'https://leetcode.com/problems/number-of-islands/', - pattern: ['BFS', 'DFS', 'Union Find'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Bloomberg', - 'Microsoft', - 'Facebook', - 'Oracle', - 'Apple', - 'Google', - 'Uber', - 'Citadel', - 'Qualtrics', - 'Goldman Sachs', - 'LinkedIn', - 'Snapchat', - ], - }, - { - id: 63, - name: 'Graph Valid Tree', - url: 'https://leetcode.com/problems/graph-valid-tree/', - pattern: ['BFS', 'DFS', 'Graph', 'Union Find'], - difficulty: 'Medium', - premium: true, - companies: ['Amazon', 'Microsoft'], - }, - { - id: 64, - name: 'Number of Connected Components in an Undirected Graph', - url: - 'https://leetcode.com/problems/number-of-connected-components-in-an-undirected-graph/', - pattern: ['BFS', 'DFS', 'Graph', 'Union Find'], - difficulty: 'Medium', - premium: true, - companies: ['Amazon', 'Facebook', 'LinkedIn', 'Microsoft', 'Apple'], - }, - { - id: 65, - name: 'Reverse Linked List', - url: 'https://leetcode.com/problems/reverse-linked-list/', - pattern: ['In-place reversal of a linked list'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Amazon', - 'Adobe', - 'Apple', - 'Facebook', - 'Microsoft', - 'Uber', - 'Oracle', - 'Google', - 'Bloomberg', - 'Goldman Sachs', - ], - }, - { - id: 66, - name: 'Reverse Linked List II', - url: 'https://leetcode.com/problems/reverse-linked-list-ii/', - pattern: ['In-place reversal of a linked list'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook', 'Microsoft', 'Oracle'], - }, - { - id: 67, - name: 'Rotate List', - url: 'https://leetcode.com/problems/rotate-list/', - pattern: ['In-place reversal of a linked list'], - difficulty: 'Medium', - premium: false, - companies: ['Bloomberg', 'Microsoft', 'Apple'], - }, - { - id: 68, - name: 'Swap Nodes in Pairs', - url: 'https://leetcode.com/problems/swap-nodes-in-pairs/', - pattern: ['In-place reversal of a linked list'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Amazon'], - }, - { - id: 69, - name: 'Odd Even Linked List', - url: 'https://leetcode.com/problems/odd-even-linked-list/', - pattern: ['In-place reversal of a linked list'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Bloomberg', 'Microsoft', 'Google', 'Oracle'], - }, - { - id: 70, - name: 'Reverse Nodes in k-Group', - url: 'https://leetcode.com/problems/reverse-nodes-in-k-group/', - pattern: ['In-place reversal of a linked list'], - difficulty: 'Hard', - premium: false, - companies: ['Amazon', 'Microsoft', 'Apple', 'Facebook'], - }, - { - id: 71, - name: 'Merge Two Sorted Lists', - url: 'https://leetcode.com/problems/merge-two-sorted-lists/', - pattern: ['Two Pointers'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Amazon', - 'Adobe', - 'Microsoft', - 'Bloomberg', - 'Facebook', - 'Oracle', - 'LinkedIn', - 'Uber', - ], - }, - { - id: 72, - name: 'Kth Smallest Element in a Sorted Matrix', - url: - 'https://leetcode.com/problems/kth-smallest-element-in-a-sorted-matrix/', - pattern: ['Binary Search', 'Heap'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Google', 'Amazon'], - }, - { - id: 73, - name: 'Find K Pairs with Smallest Sums', - url: 'https://leetcode.com/problems/find-k-pairs-with-smallest-sums/', - pattern: ['Heap'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon'], - }, - { - id: 74, - name: 'Merge k Sorted Lists', - url: 'https://leetcode.com/problems/merge-k-sorted-lists/', - pattern: ['Heap'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Amazon', - 'Facebook', - 'Microsoft', - 'Bloomberg', - 'Apple', - 'Google', - 'Oracle', - 'Twitter', - 'Goldman Sachs', - 'Uber', - ], - }, - { - id: 75, - name: 'Smallest Range Covering Elements from K Lists', - url: - 'https://leetcode.com/problems/smallest-range-covering-elements-from-k-lists/', - pattern: ['Heap'], - difficulty: 'Hard', - premium: false, - companies: ['Microsoft'], - }, - { - id: 76, - name: 'Meeting Rooms', - url: 'https://leetcode.com/problems/meeting-rooms', - pattern: ['Intervals'], - difficulty: 'Easy', - premium: true, - companies: ['Facebook', 'Bloomberg', 'Microsoft', 'Amazon', 'Adobe'], - }, - { - id: 77, - name: 'Merge Intervals', - url: 'https://leetcode.com/problems/merge-intervals/', - pattern: ['Intervals'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'JPMorgan', - 'Amazon', - 'Bloomberg', - 'Apple', - 'Google', - 'Adobe', - 'Microsoft', - 'Uber', - 'Twitter', - 'Qualtrics', - 'Oracle', - 'Salesforce', - ], - }, - { - id: 78, - name: 'Interval List Intersections', - url: 'https://leetcode.com/problems/interval-list-intersections/', - pattern: ['Intervals'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Uber', 'Apple', 'Google', 'Amazon', 'Bloomberg'], - }, - { - id: 79, - name: 'Non-overlapping Intervals', - url: 'https://leetcode.com/problems/non-overlapping-intervals/', - pattern: ['Intervals'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Microsoft', 'Amazon'], - }, - { - id: 80, - name: 'Meeting Rooms II', - url: 'https://leetcode.com/problems/meeting-rooms-ii/', - pattern: ['Heap', 'Intervals'], - difficulty: 'Medium', - premium: true, - companies: [ - 'Amazon', - 'Bloomberg', - 'Google', - 'Facebook', - 'Microsoft', - 'Uber', - 'Oracle', - 'Twitter', - 'Adobe', - ], - }, - { - id: 81, - name: 'Task Scheduler', - url: 'https://leetcode.com/problems/task-scheduler/', - pattern: ['Greedy', 'Heap'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Microsoft', - 'Google', - 'Pinterest', - 'Uber', - 'Bloomberg', - ], - }, - { - id: 82, - name: 'Minimum Number of Arrows to Burst Balloons', - url: - 'https://leetcode.com/problems/minimum-number-of-arrows-to-burst-balloons/', - pattern: ['Greedy'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Google'], - }, - { - id: 83, - name: 'Insert Interval', - url: 'https://leetcode.com/problems/insert-interval/', - pattern: ['Intervals'], - difficulty: 'Medium', - premium: false, - companies: ['Google', 'Twitter', 'Amazon', 'Apple', 'Facebook'], - }, - { - id: 84, - name: 'Employee Free Time', - url: 'https://leetcode.com/problems/employee-free-time/', - pattern: ['Heap', 'Greedy'], - difficulty: 'Hard', - premium: true, - companies: ['Pinterest', 'Amazon', 'Intuit', 'Oracle', 'Microsoft'], - }, - { - id: 85, - name: 'Binary Search', - url: 'https://leetcode.com/problems/binary-search/', - pattern: ['Binary Search'], - difficulty: 'Easy', - premium: false, - companies: ['Microsoft', 'Facebook'], - }, - { - id: 86, - name: 'Find Smallest Letter Greater Than Target', - url: - 'https://leetcode.com/problems/find-smallest-letter-greater-than-target/', - pattern: ['Binary Search'], - difficulty: 'Easy', - premium: false, - companies: ['LinkedIn'], - }, - { - id: 87, - name: 'Peak Index in a Mountain Array', - url: 'https://leetcode.com/problems/peak-index-in-a-mountain-array/', - pattern: ['Binary Search'], - difficulty: 'Easy', - premium: false, - companies: ['Bloomberg'], - }, - { - id: 88, - name: 'Find Minimum in Rotated Sorted Array', - url: 'https://leetcode.com/problems/find-minimum-in-rotated-sorted-array/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Goldman Sachs', - 'Microsoft', - 'Amazon', - 'Bloomberg', - 'Apple', - 'Oracle', - ], - }, - { - id: 89, - name: 'Find Peak Element', - url: 'https://leetcode.com/problems/find-peak-element/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Google', - 'Bloomberg', - 'Quora', - 'Microsoft', - ], - }, - { - id: 90, - name: 'Search in Rotated Sorted Array', - url: 'https://leetcode.com/problems/search-in-rotated-sorted-array/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Facebook', - 'Microsoft', - 'LinkedIn', - 'Oracle', - 'Apple', - 'Bloomberg', - 'Google', - 'Adobe', - ], - }, - { - id: 91, - name: 'Search in Rotated Sorted Array II', - url: 'https://leetcode.com/problems/search-in-rotated-sorted-array-ii/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon'], - }, - { - id: 92, - name: 'Search a 2D Matrix', - url: 'https://leetcode.com/problems/search-a-2d-matrix/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook', 'Microsoft', 'Apple'], - }, - { - id: 93, - name: 'Search a 2D Matrix II', - url: 'https://leetcode.com/problems/search-a-2d-matrix-ii/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Microsoft', 'Facebook'], - }, - { - id: 94, - name: 'Find K Closest Elements', - url: 'https://leetcode.com/problems/find-k-closest-elements/', - pattern: ['Binary Search'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Microsoft', 'Google', 'Amazon'], - }, - { - id: 95, - name: 'Count of Range Sum', - url: 'https://leetcode.com/problems/count-of-range-sum/', - pattern: ['Binary Search'], - difficulty: 'Hard', - premium: false, - companies: ['Amazon', 'Google'], - }, - { - id: 96, - name: 'Minimum Size Subarray Sum', - url: 'https://leetcode.com/problems/minimum-size-subarray-sum/', - pattern: ['Sliding Window'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Goldman Sachs', - 'Amazon', - 'Bloomberg', - 'Facebook', - 'Microsoft', - ], - }, - { - id: 97, - name: 'Fruit Into Baskets', - url: 'https://leetcode.com/problems/fruit-into-baskets/', - pattern: ['Sliding Window'], - difficulty: 'Medium', - premium: false, - companies: ['Google'], - }, - { - id: 98, - name: 'Permutation in String', - url: 'https://leetcode.com/problems/permutation-in-string/', - pattern: ['Sliding Window'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Microsoft', 'Adobe', 'Amazon'], - }, - { - id: 99, - name: 'Longest Repeating Character Replacement', - url: - 'https://leetcode.com/problems/longest-repeating-character-replacement/', - pattern: ['Sliding Window'], - difficulty: 'Medium', - premium: false, - companies: ['Google', 'Amazon'], - }, - { - id: 100, - name: 'Sliding Window Maximum', - url: 'https://leetcode.com/problems/sliding-window-maximum/', - pattern: ['Sliding Window'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Amazon', - 'Google', - 'Citadel', - 'Facebook', - 'Bloomberg', - 'Akuna Capital', - 'Microsoft', - 'Twitter', - ], - }, - { - id: 101, - name: 'Longest Substring Without Repeating Characters', - url: - 'https://leetcode.com/problems/longest-substring-without-repeating-characters/', - pattern: ['Sliding Window'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Microsoft', - 'Bloomberg', - 'Amazon', - 'Facebook', - 'Apple', - 'Google', - 'Adobe', - 'Goldman Sachs', - 'Uber', - 'Salesforce', - 'Oracle', - ], - }, - { - id: 102, - name: 'Minimum Number of K Consecutive Bit Flips', - url: - 'https://leetcode.com/problems/minimum-number-of-k-consecutive-bit-flips/', - pattern: ['Sliding Window'], - difficulty: 'Hard', - premium: false, - companies: ['Google', 'Amazon'], - }, - { - id: 103, - name: 'Count Unique Characters of All Substrings of a Given String', - url: - 'https://leetcode.com/problems/count-unique-characters-of-all-substrings-of-a-given-string/', - pattern: ['Sliding Window'], - difficulty: 'Hard', - premium: false, - companies: ['Microsoft'], - }, - { - id: 104, - name: 'Minimum Window Substring', - url: 'https://leetcode.com/problems/minimum-window-substring/', - pattern: ['Sliding Window'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Microsoft', - 'Google', - 'Apple', - 'LinkedIn', - 'Uber', - 'Lyft', - 'Adobe', - ], - }, - { - id: 105, - name: 'Substring with Concatenation of All Words', - url: - 'https://leetcode.com/problems/substring-with-concatenation-of-all-words/', - pattern: ['Sliding Window'], - difficulty: 'Hard', - premium: false, - companies: ['Amazon', 'Adobe'], - }, - { - id: 106, - name: 'Kth Smallest Element in a BST', - url: 'https://leetcode.com/problems/kth-smallest-element-in-a-bst/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Facebook', 'Microsoft', 'Adobe', 'Oracle'], - }, - { - id: 107, - name: 'K Closest Points to Origin', - url: 'https://leetcode.com/problems/k-closest-points-to-origin/', - pattern: ['Heap'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'LinkedIn', 'Google', 'Uber', 'Asana'], - }, - { - id: 108, - name: 'Top K Frequent Elements', - url: 'https://leetcode.com/problems/top-k-frequent-elements/', - pattern: ['Heap'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Apple', - 'Capital One', - 'Oracle', - 'Google', - 'Bloomberg', - 'Microsoft', - ], - }, - { - id: 109, - name: 'Sort Characters By Frequency', - url: 'https://leetcode.com/problems/sort-characters-by-frequency/', - pattern: ['Heap'], - difficulty: 'Medium', - premium: false, - companies: ['Bloomberg', 'Amazon', 'Facebook'], - }, - { - id: 110, - name: 'Kth Largest Element in an Array', - url: 'https://leetcode.com/problems/kth-largest-element-in-an-array/', - pattern: ['Heap'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Apple', - 'Microsoft', - 'Bloomberg', - 'Google', - 'Goldman Sachs', - 'LinkedIn', - 'Adobe', - ], - }, - { - id: 111, - name: 'Reorganize String', - url: 'https://leetcode.com/problems/reorganize-string/', - pattern: ['Greedy', 'Heap'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Google', - 'Facebook', - 'Uber', - 'Goldman Sachs', - ], - }, - { - id: 112, - name: 'Rearrange String k Distance Apart', - url: 'https://leetcode.com/problems/rearrange-string-k-distance-apart', - pattern: ['Greedy', 'Heap'], - difficulty: 'Hard', - premium: true, - companies: ['Microsoft', 'Facebook'], - }, - { - id: 113, - name: 'Course Schedule III', - url: 'https://leetcode.com/problems/course-schedule-iii/', - pattern: ['Greedy', 'Heap'], - difficulty: 'Hard', - premium: false, - companies: ['Google'], - }, - { - id: 114, - name: 'Maximum Frequency Stack', - url: 'https://leetcode.com/problems/maximum-frequency-stack/', - pattern: ['Bucket Sort', 'Heap'], - difficulty: 'Hard', - premium: false, - companies: ['Amazon', 'Bloomberg', 'Microsoft', 'Adobe'], - }, - { - id: 115, - name: 'Course Schedule', - url: 'https://leetcode.com/problems/course-schedule/', - pattern: ['BFS', 'DFS', 'Graph', 'Topological Sort'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Facebook', - 'Intuit', - 'Microsoft', - 'Bloomberg', - 'Google', - 'Uber', - ], - }, - { - id: 116, - name: 'Course Schedule II', - url: 'https://leetcode.com/problems/course-schedule-ii/', - pattern: ['BFS', 'DFS', 'Graph', 'Topological Sort'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Facebook', - 'Snapchat', - 'Google', - 'Oracle', - 'Pinterest', - 'Intuit', - 'Bloomberg', - ], - }, - { - id: 117, - name: 'Minimum Height Trees', - url: 'https://leetcode.com/problems/minimum-height-trees/', - pattern: ['BFS', 'Graph', 'Topological Sort'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook'], - }, - { - id: 118, - name: 'Alien Dictionary', - url: 'https://leetcode.com/problems/alien-dictionary', - pattern: ['Graph', 'Topological Sort'], - difficulty: 'Hard', - premium: true, - companies: [ - 'Facebook', - 'Amazon', - 'Airbnb', - 'Pinterest', - 'Google', - 'Microsoft', - 'Apple', - ], - }, - { - id: 119, - name: 'Sequence Reconstruction', - url: 'https://leetcode.com/problems/sequence-reconstruction', - pattern: ['Graph', 'Topological Sort'], - difficulty: 'Medium', - premium: true, - companies: ['Google'], - }, - { - id: 120, - name: 'Binary Tree Level Order Traversal II', - url: 'https://leetcode.com/problems/binary-tree-level-order-traversal-ii/', - pattern: ['BFS'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Apple'], - }, - { - id: 121, - name: 'Average of Levels in Binary Tree', - url: 'https://leetcode.com/problems/average-of-levels-in-binary-tree/', - pattern: ['BFS'], - difficulty: 'Easy', - premium: false, - companies: ['Facebook'], - }, - { - id: 122, - name: 'Minimum Depth of Binary Tree', - url: 'https://leetcode.com/problems/minimum-depth-of-binary-tree/', - pattern: ['BFS', 'DFS'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Facebook', 'Adobe'], - }, - { - id: 123, - name: 'Binary Tree Level Order Traversal', - url: 'https://leetcode.com/problems/binary-tree-level-order-traversal/', - pattern: ['BFS'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Bloomberg', - 'Facebook', - 'Microsoft', - 'Amazon', - 'LinkedIn', - 'Adobe', - 'Google', - 'Uber', - ], - }, - { - id: 124, - name: 'Binary Tree Zigzag Level Order Traversal', - url: - 'https://leetcode.com/problems/binary-tree-zigzag-level-order-traversal/', - pattern: ['BFS'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Bloomberg', - 'Apple', - 'Facebook', - 'Qualtrics', - 'Google', - 'Goldman Sachs', - 'Oracle', - 'Adobe', - ], - }, - { - id: 125, - name: 'Populating Next Right Pointers in Each Node', - url: - 'https://leetcode.com/problems/populating-next-right-pointers-in-each-node/', - pattern: ['BFS'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Bloomberg', 'Facebook', 'Amazon', 'Google'], - }, - { - id: 126, - name: 'Populating Next Right Pointers in Each Node II', - url: - 'https://leetcode.com/problems/populating-next-right-pointers-in-each-node-ii/', - pattern: ['BFS'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Amazon', 'Bloomberg', 'Facebook'], - }, - { - id: 127, - name: 'Binary Tree Right Side View', - url: 'https://leetcode.com/problems/binary-tree-right-side-view/', - pattern: ['BFS', 'DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Bloomberg', 'Microsoft', 'Oracle'], - }, - { - id: 128, - name: 'All Nodes Distance K in Binary Tree', - url: 'https://leetcode.com/problems/all-nodes-distance-k-in-binary-tree/', - pattern: ['BFS', 'DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Google', 'Microsoft'], - }, - { - id: 129, - name: 'Same Tree', - url: 'https://leetcode.com/problems/same-tree/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Google', 'Microsoft'], - }, - { - id: 130, - name: 'Path Sum', - url: 'https://leetcode.com/problems/path-sum/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: ['Facebook', 'Amazon', 'Microsoft', 'Apple', 'Oracle'], - }, - { - id: 131, - name: 'Diameter of Binary Tree', - url: 'https://leetcode.com/problems/diameter-of-binary-tree/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Facebook', - 'Microsoft', - 'Amazon', - 'Bloomberg', - 'Oracle', - 'Google', - ], - }, - { - id: 132, - name: 'Merge Two Binary Trees', - url: 'https://leetcode.com/problems/merge-two-binary-trees/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Facebook', 'Google', 'Apple'], - }, - { - id: 133, - name: 'Maximum Depth of Binary Tree', - url: 'https://leetcode.com/problems/maximum-depth-of-binary-tree/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: ['LinkedIn', 'Amazon', 'Microsoft'], - }, - { - id: 134, - name: 'Lowest Common Ancestor of a Binary Search Tree', - url: - 'https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Facebook', 'LinkedIn', 'Oracle', 'Microsoft'], - }, - { - id: 135, - name: 'Subtree of Another Tree', - url: 'https://leetcode.com/problems/subtree-of-another-tree/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Facebook'], - }, - { - id: 136, - name: 'Invert Binary Tree', - url: 'https://leetcode.com/problems/invert-binary-tree/', - pattern: ['DFS'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Microsoft', - 'Amazon', - 'Google', - 'Facebook', - 'Bloomberg', - 'Adobe', - ], - }, - { - id: 137, - name: 'Path Sum II', - url: 'https://leetcode.com/problems/path-sum-ii/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Microsoft'], - }, - { - id: 138, - name: 'Path Sum III', - url: 'https://leetcode.com/problems/path-sum-iii/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Microsoft'], - }, - { - id: 139, - name: 'Lowest Common Ancestor of a Binary Tree', - url: - 'https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-tree/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Facebook', - 'Microsoft', - 'Amazon', - 'LinkedIn', - 'Apple', - 'Oracle', - 'Adobe', - 'Google', - 'Uber', - 'Bloomberg', - 'Intuit', - 'Palantir', - 'Atlassian', - ], - }, - { - id: 140, - name: 'Maximum Binary Tree', - url: 'https://leetcode.com/problems/maximum-binary-tree/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Google', 'Apple'], - }, - { - id: 141, - name: 'Maximum Width of Binary Tree', - url: 'https://leetcode.com/problems/maximum-width-of-binary-tree/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Bloomberg'], - }, - { - id: 142, - name: 'Construct Binary Tree from Preorder and Inorder Traversal', - url: - 'https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: ['Amazon', 'Microsoft', 'Facebook', 'Bloomberg', 'Citadel'], - }, - { - id: 143, - name: 'Validate Binary Search Tree', - url: 'https://leetcode.com/problems/validate-binary-search-tree/', - pattern: ['DFS'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Bloomberg', - 'Amazon', - 'Facebook', - 'Microsoft', - 'Asana', - 'Apple', - 'Google', - 'Uber', - ], - }, - { - id: 144, - name: 'Implement Trie (Prefix Tree)', - url: 'https://leetcode.com/problems/implement-trie-prefix-tree/', - pattern: ['Design', 'Trie'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Pinterest', - 'Google', - 'Microsoft', - 'Facebook', - 'Apple', - 'Twitter', - 'Goldman Sachs', - ], - }, - { - id: 145, - name: 'Binary Tree Maximum Path Sum', - url: 'https://leetcode.com/problems/binary-tree-maximum-path-sum/', - pattern: ['DFS'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Google', - 'Microsoft', - 'Apple', - 'Bloomberg', - 'Adobe', - ], - }, - { - id: 146, - name: 'Serialize and Deserialize Binary Tree', - url: 'https://leetcode.com/problems/serialize-and-deserialize-binary-tree/', - pattern: ['Design'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Facebook', - 'Microsoft', - 'Amazon', - 'LinkedIn', - 'Uber', - 'Google', - 'Bloomberg', - 'Quora', - 'Qualtrics', - 'Oracle', - ], - }, - { - id: 147, - name: 'Word Search II', - url: 'https://leetcode.com/problems/word-search-ii/', - pattern: ['DFS', 'Trie'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Amazon', - 'Microsoft', - 'Apple', - 'Uber', - 'Google', - 'Twitter', - 'Facebook', - ], - }, - { - id: 148, - name: 'Find Median from Data Stream', - url: 'https://leetcode.com/problems/find-median-from-data-stream/', - pattern: ['Heap'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Amazon', - 'Facebook', - 'Microsoft', - 'Apple', - 'Google', - 'Bloomberg', - 'Goldman Sachs', - 'Twitter', - 'Adobe', - 'Salesforce', - 'Uber', - ], - }, - { - id: 149, - name: 'Sliding Window Median', - url: 'https://leetcode.com/problems/sliding-window-median/', - pattern: ['Heap'], - difficulty: 'Hard', - premium: false, - companies: ['Facebook', 'Google', 'JPMorgan', 'Adobe'], - }, - { - id: 150, - name: 'Two Sum', - url: 'https://leetcode.com/problems/two-sum/', - pattern: ['Two Pointers'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Amazon', - 'Apple', - 'Google', - 'Adobe', - 'Microsoft', - 'Bloomberg', - 'Facebook', - 'Uber', - 'Oracle', - 'Twitter', - 'Goldman Sachs', - ], - }, - { - id: 151, - name: 'Squares of a Sorted Array', - url: 'https://leetcode.com/problems/squares-of-a-sorted-array/', - pattern: ['Two Pointers'], - difficulty: 'Easy', - premium: false, - companies: [ - 'Facebook', - 'Google', - 'Apple', - 'Uber', - 'Bloomberg', - 'Amazon', - 'Microsoft', - ], - }, - { - id: 152, - name: 'Backspace String Compare', - url: 'https://leetcode.com/problems/backspace-string-compare', - pattern: ['Two Pointers'], - difficulty: 'Easy', - premium: false, - companies: ['Facebook', 'Google', 'Oracle', 'Amazon'], - }, - { - id: 153, - name: '3 Sum', - url: 'https://leetcode.com/problems/3sum/', - pattern: ['Two Pointers'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Facebook', - 'Microsoft', - 'Apple', - 'Bloomberg', - 'Google', - 'Goldman Sachs', - 'Adobe', - ], - }, - { - id: 154, - name: '3 Sum Closest', - url: 'https://leetcode.com/problems/3sum-closest/', - pattern: ['Two Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Facebook', 'Amazon', 'Apple', 'Google', 'Bloomberg'], - }, - { - id: 155, - name: 'Subarrays with Product Less than K', - url: 'https://leetcode.com/problems/subarray-product-less-than-k/', - pattern: ['Two Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Bloomberg', 'LinkedIn'], - }, - { - id: 156, - name: 'Sort Colours', - url: 'https://leetcode.com/problems/sort-colors/', - pattern: ['Two Pointers'], - difficulty: 'Medium', - premium: false, - companies: ['Microsoft', 'Facebook', 'Amazon', 'Oracle', 'Adobe', 'Apple'], - }, - { - id: 157, - name: 'Trapping Rain Water', - url: 'https://leetcode.com/problems/trapping-rain-water/', - pattern: ['Two Pointers'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Facebook', - 'Amazon', - 'Goldman Sachs', - 'Microsoft', - 'Bloomberg', - 'Apple', - 'Google', - 'Qualtrics', - 'Oracle', - ], - }, - { - id: 158, - name: 'Container With Most Water', - url: 'https://leetcode.com/problems/container-with-most-water/', - pattern: ['Two Pointers'], - difficulty: 'Medium', - premium: false, - companies: [ - 'Amazon', - 'Google', - 'Facebook', - 'Goldman Sachs', - 'Microsoft', - 'Adobe', - 'Apple', - ], - }, - { - id: 159, - name: 'Longest Word in Dictionary', - url: 'https://leetcode.com/problems/longest-word-in-dictionary/', - pattern: ['Trie'], - difficulty: 'Medium', - premium: false, - companies: ['Goldman Sachs', 'Amazon'], - }, - { - id: 160, - name: 'Index Pairs of a String', - url: 'https://leetcode.com/problems/index-pairs-of-a-string/', - pattern: ['Trie'], - difficulty: 'Easy', - premium: true, - companies: ['Amazon'], - }, - { - id: 161, - name: 'Maximum XOR of Two Numbers in an Array', - url: 'https://leetcode.com/problems/maximum-xor-of-two-numbers-in-an-array', - pattern: ['Trie'], - difficulty: 'Medium', - premium: false, - companies: ['Google'], - }, - { - id: 162, - name: 'Concatenated Words', - url: 'https://leetcode.com/problems/concatenated-words/', - pattern: ['Trie'], - difficulty: 'Hard', - premium: false, - companies: ['Amazon'], - }, - { - id: 163, - name: 'Prefix and Suffix Search', - url: 'https://leetcode.com/problems/prefix-and-suffix-search/', - pattern: ['Trie'], - difficulty: 'Hard', - premium: false, - companies: ['Amazon', 'Facebook'], - }, - { - id: 164, - name: 'Palindrome Pairs', - url: 'https://leetcode.com/problems/palindrome-pairs/', - pattern: ['Trie'], - difficulty: 'Hard', - premium: false, - companies: ['Airbnb', 'Facebook'], - }, - { - id: 165, - name: 'Design Search Autocomplete System', - url: 'https://leetcode.com/problems/design-search-autocomplete-system/', - pattern: ['Trie'], - difficulty: 'Hard', - premium: true, - companies: [ - 'Microsoft', - 'Amazon', - 'Lyft', - 'Google', - 'Snapchat', - 'Goldman Sachs', - ], - }, - { - id: 166, - name: 'Word Squares', - url: 'https://leetcode.com/problems/word-squares/', - pattern: ['Trie'], - difficulty: 'Hard', - premium: true, - companies: ['Bloomberg'], - }, - { - id: 167, - name: 'Sort Items by Groups Respecting Dependencies', - url: - 'https://leetcode.com/problems/sort-items-by-groups-respecting-dependencies/', - pattern: ['DFS', 'Graph', 'Topological Sort'], - difficulty: 'Hard', - premium: false, - companies: ['Google'], - }, - { - id: 168, - name: 'Median of Two Sorted Arrays', - url: 'https://leetcode.com/problems/median-of-two-sorted-arrays/', - pattern: ['Binary Search'], - difficulty: 'Hard', - premium: false, - companies: [ - 'Amazon', - 'Goldman Sachs', - 'Google', - 'Facebook', - 'Microsoft', - 'Apple', - 'Adobe', - 'Bloomberg', - 'Uber', - ], - }, - { - id: 169, - name: 'Majority Element', - url: 'https://leetcode.com/problems/majority-element/', - pattern: ['Sorting'], - difficulty: 'Easy', - premium: false, - companies: ['Amazon', 'Microsoft', 'Bloomberg', 'Apple', 'Adobe'], - }, -]; +import questions from './questions.json'; const sortBy = { Easy: 0, Medium: 1, Hard: 2 }; +const { updated, data } = questions; + +for (let i = 0; i < data.length; i += 1) { + data[i].companyNames = data[i].companies.map(company => company.name); +} -export default questions.sort( - (a, b) => sortBy[a.difficulty] - sortBy[b.difficulty], -); +export { updated }; +export default data.sort((a, b) => sortBy[a.difficulty] - sortBy[b.difficulty]); diff --git a/src/data/questions.json b/src/data/questions.json new file mode 100644 index 00000000..818076cf --- /dev/null +++ b/src/data/questions.json @@ -0,0 +1,11104 @@ +{ + "updated": "2025-07-13T12:03:45.600091", + "data": [ + { + "id": 0, + "title": "Contains Duplicate", + "slug": "contains-duplicate", + "pattern": [ + "Arrays" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 7 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 3 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + } + ] + }, + { + "id": 1, + "title": "Missing Number", + "slug": "missing-number", + "pattern": [ + "Arrays", + "Bit Manipulation" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 12 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + } + ] + }, + { + "id": 2, + "title": "Find All Numbers Disappeared in an Array", + "slug": "find-all-numbers-disappeared-in-an-array", + "pattern": [ + "Arrays" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Tinkoff", + "slug": "tinkoff", + "frequency": 2 + } + ] + }, + { + "id": 3, + "title": "Single Number", + "slug": "single-number", + "pattern": [ + "Arrays", + "Bit Manipulation" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 21 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 10 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + } + ] + }, + { + "id": 4, + "title": "Product of Array Except Self", + "slug": "product-of-array-except-self", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 27 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Asana", + "slug": "asana", + "frequency": 5 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 4 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "Fractal Analytics", + "slug": "fractal-analytics", + "frequency": 2 + }, + { + "name": "ZS Associates", + "slug": "zs-associates", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Flipkart", + "slug": "flipkart", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "Turing", + "slug": "turing", + "frequency": 2 + }, + { + "name": "Autodesk", + "slug": "autodesk", + "frequency": 2 + }, + { + "name": "Sigmoid", + "slug": "sigmoid", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + } + ] + }, + { + "id": 5, + "title": "Find the Duplicate Number", + "slug": "find-the-duplicate-number", + "pattern": [ + "Arrays", + "Binary Search", + "Two Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 2 + } + ] + }, + { + "id": 6, + "title": "Find All Duplicates in an Array", + "slug": "find-all-duplicates-in-an-array", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + } + ] + }, + { + "id": 7, + "title": "Set Matrix Zeroes", + "slug": "set-matrix-zeroes", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 14 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 11 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 7 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 5 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 3 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 3 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "Autodesk", + "slug": "autodesk", + "frequency": 2 + }, + { + "name": "J.P. Morgan", + "slug": "jpmorgan", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + } + ] + }, + { + "id": 8, + "title": "Spiral Matrix", + "slug": "spiral-matrix", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 18 + }, + { + "name": "Google", + "slug": "google", + "frequency": 16 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 7 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 6 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Epic Systems", + "slug": "epic-systems", + "frequency": 5 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 3 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Yahoo", + "slug": "yahoo", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Roblox", + "slug": "roblox", + "frequency": 2 + }, + { + "name": "RBC", + "slug": "rbc", + "frequency": 2 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 2 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "Intuit", + "slug": "intuit", + "frequency": 2 + }, + { + "name": "Databricks", + "slug": "databricks", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "NetApp", + "slug": "netapp", + "frequency": 2 + }, + { + "name": "Nordstrom", + "slug": "nordstrom", + "frequency": 2 + }, + { + "name": "SIG", + "slug": "sig", + "frequency": 2 + } + ] + }, + { + "id": 9, + "title": "Rotate Image", + "slug": "rotate-image", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 24 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 13 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "J.P. Morgan", + "slug": "jpmorgan", + "frequency": 9 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 5 + }, + { + "name": "Roblox", + "slug": "roblox", + "frequency": 4 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 3 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + } + ] + }, + { + "id": 10, + "title": "Word Search", + "slug": "word-search", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 30 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 20 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 13 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 9 + }, + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Karat", + "slug": "karat", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 4 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 3 + }, + { + "name": "Faire", + "slug": "faire", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "Grammarly", + "slug": "grammarly", + "frequency": 2 + }, + { + "name": "Atlassian", + "slug": "atlassian", + "frequency": 2 + }, + { + "name": "Samsung", + "slug": "samsung", + "frequency": 2 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 2 + }, + { + "name": "Epic Systems", + "slug": "epic-systems", + "frequency": 2 + } + ] + }, + { + "id": 11, + "title": "First Missing Positive", + "slug": "first-missing-positive", + "pattern": [ + "Arrays" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 17 + }, + { + "name": "Google", + "slug": "google", + "frequency": 14 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "MakeMyTrip", + "slug": "makemytrip", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Myntra", + "slug": "myntra", + "frequency": 3 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 3 + }, + { + "name": "Zomato", + "slug": "zomato", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "General Motors", + "slug": "general-motors", + "frequency": 2 + }, + { + "name": "SoundHound", + "slug": "soundhound", + "frequency": 2 + }, + { + "name": "Sprinklr", + "slug": "sprinklr", + "frequency": 2 + } + ] + }, + { + "id": 12, + "title": "Longest Consecutive Sequence", + "slug": "longest-consecutive-sequence", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 25 + }, + { + "name": "Google", + "slug": "google", + "frequency": 24 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 8 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 4 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "EPAM Systems", + "slug": "epam-systems", + "frequency": 2 + } + ] + }, + { + "id": 13, + "title": "Letter Case Permutation", + "slug": "letter-case-permutation", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 14, + "title": "Subsets", + "slug": "subsets", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 21 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 18 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 12 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 9 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Wix", + "slug": "wix", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + } + ] + }, + { + "id": 15, + "title": "Subsets II", + "slug": "subsets-ii", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + } + ] + }, + { + "id": 16, + "title": "Permutations", + "slug": "permutations", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 15 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Arista Networks", + "slug": "arista-networks", + "frequency": 2 + }, + { + "name": "Booking.com", + "slug": "bookingcom", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Qualcomm", + "slug": "qualcomm", + "frequency": 2 + }, + { + "name": "American Express", + "slug": "american-express", + "frequency": 2 + } + ] + }, + { + "id": 17, + "title": 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"frequency": 2 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + } + ] + }, + { + "id": 20, + "title": "Combination Sum II", + "slug": "combination-sum-ii", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 4 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + } + ] + }, + { + "id": 21, + "title": "Combination Sum III", + "slug": "combination-sum-iii", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + } + ] + }, + { + "id": 22, + "title": "Generate Parentheses", + "slug": "generate-parentheses", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 26 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 25 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 11 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 7 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 5 + }, + { + "name": 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"house-robber-ii", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Databricks", + "slug": "databricks", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Docusign", + "slug": "docusign", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + } + ] + }, + { + "id": 35, + "title": "Coin Change", + "slug": "coin-change", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 26 + }, + { + "name": "Google", 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"name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 37, + "title": "Longest Increasing Subsequence", + "slug": "longest-increasing-subsequence", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 15 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 11 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 9 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Squarepoint Capital", + "slug": "squarepoint-capital", + "frequency": 3 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 3 + }, + { + "name": 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"Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + } + ] + }, + { + "id": 52, + "title": "Reverse Linked List", + "slug": "reverse-linked-list", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "Google", + "slug": "google", + "frequency": 11 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 5 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 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"frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + } + ] + }, + { + "id": 54, + "title": "Remove Linked List Elements", + "slug": "remove-linked-list-elements", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 55, + "title": "Remove Duplicates from Sorted List", + "slug": "remove-duplicates-from-sorted-list", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + } + ] + }, + { + "id": 56, + "title": "Linked List Cycle II", + "slug": "linked-list-cycle-ii", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 57, + "title": "Add Two Numbers", + "slug": "add-two-numbers", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 63 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 37 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 26 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 14 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 12 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 3 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + } + ] + }, + { + "id": 58, + "title": "Remove Nth Node From End of List", + "slug": "remove-nth-node-from-end-of-list", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 36 + }, + { + "name": "Google", + "slug": "google", + "frequency": 14 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 10 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + } + ] + }, + { + "id": 59, + "title": "Sort List", + "slug": "sort-list", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 8 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Lyft", + "slug": "lyft", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 60, + "title": "Reorder List", + "slug": "reorder-list", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 9 + }, + { + "name": "Google", + "slug": "google", + "frequency": 9 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Arista Networks", + "slug": "arista-networks", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + } + ] + }, + { + "id": 61, + "title": "Pacific Atlantic Water Flow", + "slug": "pacific-atlantic-water-flow", + "pattern": [ + "BFS", + "DFS" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 9 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + } + ] + }, + { + "id": 62, + "title": "Number of Islands", + "slug": "number-of-islands", + "pattern": [ + "BFS", + "DFS", + "Union Find" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 92 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 21 + }, + { + "name": "Google", + "slug": "google", + "frequency": 21 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 16 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 15 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 12 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 11 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 9 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 9 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 7 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 7 + }, + { + "name": "Snap", + "slug": "snapchat", + "frequency": 6 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 5 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 4 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 3 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 3 + }, + { + "name": "Samsung", + "slug": "samsung", + "frequency": 3 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 3 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 3 + }, + { + "name": "Tinkoff", + "slug": "tinkoff", + "frequency": 3 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 2 + }, + { + "name": "Qualcomm", + "slug": "qualcomm", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "Grammarly", + "slug": "grammarly", + "frequency": 2 + }, + { + "name": "Siemens", + "slug": "siemens", + "frequency": 2 + }, + { + "name": "Barclays", + "slug": "barclays", + "frequency": 2 + }, + { + "name": "DoorDash", + "slug": "doordash", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "Huawei", + "slug": "huawei", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "Wix", + "slug": "wix", + "frequency": 2 + }, + { + "name": "BitGo", + "slug": "bitgo", + "frequency": 2 + }, + { + "name": "Cloudflare", + "slug": "cloudflare", + "frequency": 2 + }, + { + "name": "Rivian", + "slug": "rivian", + "frequency": 2 + }, + { + "name": "Squarepoint Capital", + "slug": "squarepoint-capital", + "frequency": 2 + }, + { + "name": "HashedIn", + "slug": "hashedin", + "frequency": 2 + }, + { + "name": "Comcast", + "slug": "comcast", + "frequency": 2 + } + ] + }, + { + "id": 63, + "title": "Graph Valid Tree", + "slug": "graph-valid-tree", + "pattern": [ + "BFS", + "DFS", + "Graph", + "Union Find" + ], + "difficulty": "Medium", + "premium": true, + "companies": [ + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + } + ] + }, + { + "id": 64, + "title": "Number of Connected Components in an Undirected Graph", + "slug": "number-of-connected-components-in-an-undirected-graph", + "pattern": [ + "BFS", + "DFS", + "Graph", + "Union Find" + ], + "difficulty": "Medium", + "premium": true, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 9 + }, + { + "name": "General Motors", + "slug": "general-motors", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 65, + "title": "Reverse Linked List II", + "slug": "reverse-linked-list-ii", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Arista Networks", + "slug": "arista-networks", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + } + ] + }, + { + "id": 66, + "title": "Rotate List", + "slug": "rotate-list", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 67, + "title": "Swap Nodes in Pairs", + "slug": "swap-nodes-in-pairs", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 8 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 68, + "title": "Odd Even Linked List", + "slug": "odd-even-linked-list", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 9 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + } + ] + }, + { + "id": 69, + "title": "Reverse Nodes in k-Group", + "slug": "reverse-nodes-in-k-group", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 13 + }, + { + "name": "Google", + "slug": "google", + "frequency": 10 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 5 + }, + { + "name": "Arista Networks", + "slug": "arista-networks", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + } + ] + }, + { + "id": 70, + "title": "Merge Two Sorted Lists", + "slug": "merge-two-sorted-lists", + "pattern": [ + "Two Pointers" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 28 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 19 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 12 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 8 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "Hubspot", + "slug": "hubspot", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Huawei", + "slug": "huawei", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "HPE", + "slug": "hpe", + "frequency": 2 + }, + { + "name": "Palo Alto Networks", + "slug": "palo-alto-networks", + "frequency": 2 + } + ] + }, + { + "id": 71, + "title": "Kth Smallest Element in a Sorted Matrix", + "slug": "kth-smallest-element-in-a-sorted-matrix", + "pattern": [ + "Binary Search", + "Heap" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 22 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 7 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 4 + }, + { + "name": "PhonePe", + "slug": "phonepe", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + } + ] + }, + { + "id": 72, + "title": "Find K Pairs with Smallest Sums", + "slug": "find-k-pairs-with-smallest-sums", + "pattern": [ + "Heap" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 8 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 7 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + }, + { + "name": "Flipkart", + "slug": "flipkart", + "frequency": 2 + } + ] + }, + { + "id": 73, + "title": "Merge k Sorted Lists", + "slug": "merge-k-sorted-lists", + "pattern": [ + "Heap" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 70 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 47 + }, + { + "name": "Google", + "slug": "google", + "frequency": 10 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 8 + }, + 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"name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Verkada", + "slug": "verkada", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 2 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 2 + } + ] + }, + { + "id": 79, + "title": "Meeting Rooms II", + "slug": "meeting-rooms-ii", + "pattern": [ + "Heap", + "Intervals" + ], + "difficulty": "Medium", + "premium": true, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 30 + }, + { + "name": "Google", + "slug": "google", + "frequency": 20 + }, + { + "name": "Meta", + "slug": "facebook", + 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"name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 97, + "title": "Permutation in String", + "slug": "permutation-in-string", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + } + ] + }, + { + "id": 98, + "title": "Longest Repeating Character 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"name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Palo Alto Networks", + "slug": "palo-alto-networks", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "Coupang", + "slug": "coupang", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "DE Shaw", + "slug": "de-shaw", + "frequency": 2 + }, + { + "name": "Gameskraft", + "slug": "gameskraft", + "frequency": 2 + }, + { + "name": "MongoDB", + "slug": "mongodb", + "frequency": 2 + } + ] + }, + { + "id": 100, + "title": "Longest Substring Without Repeating Characters", + "slug": "longest-substring-without-repeating-characters", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 56 + }, + { + "name": "Google", + "slug": "google", + "frequency": 41 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 23 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 20 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 19 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 11 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 9 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 7 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 7 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 7 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 5 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 5 + }, + { + "name": "Turing", + "slug": "turing", + "frequency": 4 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 4 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 3 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "HCL", + "slug": "hcl", + "frequency": 3 + }, + { + "name": "Lyft", + "slug": "lyft", + "frequency": 3 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 3 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 3 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Docusign", + "slug": "docusign", + "frequency": 2 + }, + { + "name": "Coupang", + "slug": "coupang", + "frequency": 2 + }, + { + "name": "Spotify", + "slug": "spotify", + "frequency": 2 + }, + { + "name": "J.P. 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"slug": "salesforce", + "frequency": 3 + }, + { + "name": "SoFi", + "slug": "sofi", + "frequency": 3 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Snap", + "slug": "snapchat", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Zeta", + "slug": "zeta", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "thoughtspot", + "slug": "thoughtspot", + "frequency": 2 + } + ] + }, + { + "id": 104, + "title": "Substring with Concatenation of All Words", + "slug": "substring-with-concatenation-of-all-words", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + 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"frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 5 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Avito", + "slug": "avito", + "frequency": 4 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 3 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Yahoo", + "slug": "yahoo", + "frequency": 2 + }, + { + "name": "Atlassian", + "slug": "atlassian", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "J.P. 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"frequency": 7 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 7 + }, + { + "name": "Spotify", + "slug": "spotify", + "frequency": 5 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 5 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 4 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 4 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 4 + }, + { + "name": "American Express", + "slug": "american-express", + "frequency": 4 + }, + { + "name": "EPAM Systems", + "slug": "epam-systems", + "frequency": 4 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 4 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 4 + }, + { + "name": "DoorDash", + "slug": "doordash", + "frequency": 4 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 4 + }, + { + "name": "Hubspot", + "slug": "hubspot", + "frequency": 4 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 3 + }, + { + "name": "Intel", + "slug": "intel", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 3 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Deloitte", + "slug": "deloitte", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "Wipro", + "slug": "wipro", + "frequency": 2 + }, + { + "name": "Comcast", + "slug": "comcast", + "frequency": 2 + }, + { + "name": "Western Digital", + "slug": "western-digital", + "frequency": 2 + }, + { + "name": "Qualcomm", + "slug": "qualcomm", + "frequency": 2 + }, + { + "name": "Accolite", + "slug": "accolite", + "frequency": 2 + }, + { + "name": "Cognizant", + "slug": "cognizant", + "frequency": 2 + }, + { + "name": "persistent systems", + "slug": "persistent-systems", + "frequency": 2 + }, + { + "name": "Capgemini", + "slug": "capgemini", + "frequency": 2 + }, + { + "name": "HCL", + "slug": "hcl", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 2 + }, + { + "name": "Naver", + "slug": "naver", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Epic Systems", + "slug": "epic-systems", + "frequency": 2 + }, + { + "name": "Splunk", + "slug": "splunk", + "frequency": 2 + }, + { + "name": "Tinkoff", + "slug": "tinkoff", + "frequency": 2 + }, + { + "name": "Tekion", + "slug": "tekion", + "frequency": 2 + }, + { + "name": "jio", + "slug": "jio", + "frequency": 2 + }, + { + "name": "KLA", + "slug": "kla", + "frequency": 2 + }, + { + "name": "Pwc", + "slug": "pwc", + "frequency": 2 + 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"frequency": 2 + }, + { + "name": "Roblox", + "slug": "roblox", + "frequency": 2 + }, + { + "name": "Qualcomm", + "slug": "qualcomm", + "frequency": 2 + }, + { + "name": "InMobi", + "slug": "inmobi", + "frequency": 2 + }, + { + "name": "DE Shaw", + "slug": "de-shaw", + "frequency": 2 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 2 + }, + { + "name": "HashedIn", + "slug": "hashedin", + "frequency": 2 + } + ] + }, + { + "id": 155, + "title": "Container With Most Water", + "slug": "container-with-most-water", + "pattern": [ + "Two Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 22 + }, + { + "name": "Google", + "slug": "google", + "frequency": 21 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 9 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 8 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 8 + }, + { + "name": "SAP", + "slug": 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"Hard", + "premium": false, + "companies": [] + }, + { + "id": 161, + "title": "Palindrome Pairs", + "slug": "palindrome-pairs", + "pattern": [ + "Trie" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Airbnb", + "slug": "airbnb", + "frequency": 8 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + } + ] + }, + { + "id": 162, + "title": "Design Search Autocomplete System", + "slug": "design-search-autocomplete-system", + "pattern": [ + "Trie" + ], + "difficulty": "Hard", + "premium": true, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Pinterest", + "slug": "pinterest", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "MongoDB", + "slug": "mongodb", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 163, + "title": "Word Squares", + "slug": "word-squares", + "pattern": [ + "Trie" + ], + "difficulty": "Hard", + "premium": true, + "companies": [] + }, + { + "id": 164, + "title": "Sort Items by Groups Respecting Dependencies", + "slug": "sort-items-by-groups-respecting-dependencies", + "pattern": [ + "DFS", + "Graph", + "Topological Sort" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Citadel", + "slug": "citadel", + "frequency": 3 + } + ] + }, + { + "id": 165, + "title": "Median of Two Sorted Arrays", + "slug": "median-of-two-sorted-arrays", + "pattern": [ + "Binary Search" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 45 + }, + { + "name": "Amazon", + "slug": 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"frequency": 6 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 6 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 5 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Capgemini", + "slug": "capgemini", + "frequency": 2 + }, + { + "name": "NetApp", + "slug": "netapp", + "frequency": 2 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "JTG", + "slug": "jtg", + "frequency": 2 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 2 + } + ] + }, + { + "id": 169, + "title": "Is Subsequence", + "slug": "is-subsequence", + "pattern": [ + "Two Pointers" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 11 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Pinterest", + "slug": "pinterest", + "frequency": 2 + } + ] + }, + { + "id": 170, + "title": "Binary Tree Paths", + "slug": "binary-tree-paths", + "pattern": [ + "DFS", + "Backtracking" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + } + ] + }, + { + "id": 171, + "title": "Factor Combinations", + "slug": "factor-combinations", + "pattern": [ + "Arrays", + "Backtracking" + ], + "difficulty": "Medium", + "premium": true, + "companies": [ + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 3 + } + ] + }, + { + "id": 172, + "title": "Split a String Into the Max Number of Unique Substrings", + "slug": "split-a-string-into-the-max-number-of-unique-substrings", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + } + ] + }, + { + "id": 173, + "title": "Maximum Average Subarray I", + "slug": "maximum-average-subarray-i", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 10 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + } + ] + }, + { + "id": 174, + "title": "Gas Station", + "slug": "gas-station", + "pattern": [ + "Greedy" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 5 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 5 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Flipkart", + "slug": "flipkart", + "frequency": 3 + }, + { + "name": "BitGo", + "slug": "bitgo", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + } + ] + } + ] +} \ No newline at end of file