diff --git a/.eslintrc.js b/.eslintrc.js new file mode 100644 index 00000000..309f7596 --- /dev/null +++ b/.eslintrc.js @@ -0,0 +1,34 @@ +module.exports = { + extends: ['airbnb', 'plugin:prettier/recommended', 'prettier'], + env: { + browser: true, + commonjs: true, + es6: true, + jest: true, + node: true, + }, + rules: { + 'jsx-a11y/href-no-hash': ['off'], + 'react/jsx-filename-extension': ['warn', { extensions: ['.js', '.jsx'] }], + 'react/destructuring-assignment': ['off'], + 'react/function-component-definition': ['off'], + 'react/no-unstable-nested-components': ['off'], + 'react/jsx-no-useless-fragment': ['off'], + 'react/require-default-props': ['off'], + 'prettier/prettier': ['off'], + 'max-len': [ + 'warn', + { + code: 80, + tabWidth: 2, + comments: 80, + ignoreComments: false, + ignoreTrailingComments: true, + ignoreUrls: true, + ignoreStrings: true, + ignoreTemplateLiterals: true, + ignoreRegExpLiterals: true, + }, + ], + }, +}; diff --git a/.github/workflows/github-pages.yml b/.github/workflows/github-pages.yml new file mode 100644 index 00000000..d742c4dc --- /dev/null +++ b/.github/workflows/github-pages.yml @@ -0,0 +1,49 @@ +name: github-pages + +on: + push: + branches: + - master + + workflow_run: + workflows: [run-cron] + types: + - completed + + workflow_dispatch: + +jobs: + build-and-deploy: + runs-on: ubuntu-latest + env: + HUSKY: 0 + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + + - name: Install dependencies and build + uses: actions/setup-node@v4 + with: + node-version: '22.2.0' + cache: 'npm' + + - name: Install dependencies + run: npm ci --prefer-offline --no-audit --registry=https://registry.npmjs.org/ + timeout-minutes: 10 + + - name: Build + 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 new file mode 100644 index 00000000..566a640a --- /dev/null +++ b/.gitignore @@ -0,0 +1,26 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# production +/build + +# misc +.DS_Store +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +__pycache__ diff --git a/.npmrc b/.npmrc new file mode 100644 index 00000000..825c83e0 --- /dev/null +++ b/.npmrc @@ -0,0 +1,2 @@ +registry=https://registry.npmjs.org/ + diff --git a/.nvmrc b/.nvmrc new file mode 100644 index 00000000..3784addc --- /dev/null +++ b/.nvmrc @@ -0,0 +1,2 @@ +22.2.0 + diff --git a/.prettierrc.js b/.prettierrc.js new file mode 100644 index 00000000..cf96f74c --- /dev/null +++ b/.prettierrc.js @@ -0,0 +1,5 @@ +module.exports = { + printWidth: 80, + singleQuote: true, + trailingComma: 'all', +}; diff --git a/LICENSE.md b/LICENSE.md new file mode 100644 index 00000000..0ac5d05a --- /dev/null +++ b/LICENSE.md @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + +Copyright (C) 2007 Free Software Foundation, Inc. +Everyone is permitted to copy and distribute verbatim copies +of this license document, but changing it is not allowed. + + Preamble + +The GNU General Public License is a free, copyleft license for +software and other kinds of works. + +The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Limitation of Liability. + +IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS +THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY +GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE +USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF +DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD +PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), +EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF +SUCH DAMAGES. + +17. Interpretation of Sections 15 and 16. + +If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + +If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + +To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + +If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and`show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + +You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + +The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md index abaf46bd..7b801b7a 100644 --- a/README.md +++ b/README.md @@ -1,29 +1,30 @@ -# Leetcode Study List - https://seanprashad.com/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) -- [Java Syntax Notes](#java-syntax-notes) +- [Fundamentals](#fundamentals) +- [Notes](#notes) - [Question List](#question-list) - [Solutions](#solutions) -- [Leetcode Discuss](#leetcode-discuss) -- [Tips to Consider](#tips-to-consider) +- [Suggestions](#suggestions) - [Acknowledgements](#acknowledgements) ## Background This repo is intended for any individual wanting to improve their problem solving skills for software engineering interviews. + Problems are grouped under their respective subtopic, in order to focus on 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 @@ -41,472 +42,38 @@ In addition, you should have a good grasp on common algorithms such as: - Binary search - Recursion -## Java Syntax Notes +## Notes + +[This pdf] contains information for the main data structures in Java. -[This pdf] contains useful information for the built-in 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-). ## Question List -A web version of the question list can be found here: https://seanprashad.com/leetcode-patterns/. - -
- Arrays - -#### Easy: - -1. Contains Duplicate: https://leetcode.com/problems/contains-duplicate/ -1. Missing Number: https://leetcode.com/problems/missing-number/ -1. Find All Numbers Disappeared in an Array: https://leetcode.com/problems/find-all-numbers-disappeared-in-an-array/ -1. Single Number: https://leetcode.com/problems/single-number/ - -#### Medium: - -1. Product of Array Except Self: https://leetcode.com/problems/product-of-array-except-self/ -1. Find the Duplicate Number: https://leetcode.com/problems/find-the-duplicate-number/ -1. Find All Duplicates in an Array: https://leetcode.com/problems/find-all-duplicates-in-an-array/ - -#### Hard: - -1. First Missing Positive: https://leetcode.com/problems/first-missing-positive/ -1. Longest Consecutive Sequence: https://leetcode.com/problems/longest-consecutive-sequence/ - -
- -
- Backtracking - -The backtracking technique can be found under `10. Subsets` [here]. - -#### Easy: - -1. Letter Case Permutation: https://leetcode.com/problems/letter-case-permutation/ - -#### Medium: - -1. Subsets: https://leetcode.com/problems/subsets/ -1. Subsets II: https://leetcode.com/problems/subsets-ii/ -1. Permutations: https://leetcode.com/problems/permutations/ -1. Permutations II: https://leetcode.com/problems/permutations-ii/ -1. Combinations: https://leetcode.com/problems/combinations/ -1. Combination Sum: https://leetcode.com/problems/combination-sum/ -1. Combination Sum II: https://leetcode.com/problems/combination-sum-ii/ -1. Combination Sum III: https://leetcode.com/problems/combination-sum-iii/ -1. Generate Parentheses: https://leetcode.com/problems/generate-parentheses/ -1. Target Sum: https://leetcode.com/problems/target-sum/ -1. Palindrome Partitioning: https://leetcode.com/problems/palindrome-partitioning/ -1. Partition to K Equal Sum Subsets: https://leetcode.com/problems/partition-to-k-equal-sum-subsets/ -1. Letter Combinations of a Phone Number: https://leetcode.com/problems/letter-combinations-of-a-phone-number/ -1. Generalized Abbreviation: https://leetcode.com/problems/generalized-abbreviation/ - -#### Hard: - -1. Sudoku Solver: https://leetcode.com/problems/sudoku-solver/ -1. N-Queens: https://leetcode.com/problems/n-queens/ - -
- -
- Dynamic Programming - -Dynamic programming guides can be found on [topcoder] and the [Back To Back SWE -YouTube channel]. - -#### Easy: - -1. Climbing Stairs: https://leetcode.com/problems/climbing-stairs/ -1. House Robber: https://leetcode.com/problems/house-robber/ -1. Best Time to Buy and Sell Stock: https://leetcode.com/problems/best-time-to-buy-and-sell-stock/ -1. Maximum Subarray: https://leetcode.com/problems/maximum-subarray/ -1. Range Sum Query - Immutable: https://leetcode.com/problems/range-sum-query-immutable/ - -#### Medium: - -1. House Robber II: https://leetcode.com/problems/house-robber-ii/ -1. Coin Change: https://leetcode.com/problems/coin-change/ -1. Maximum Product Subarray: https://leetcode.com/problems/maximum-product-subarray/ -1. Longest Increasing Subsequence: https://leetcode.com/problems/longest-increasing-subsequence/ -1. Longest Palindromic Substring: https://leetcode.com/problems/longest-palindromic-substring/ -1. Word Break: https://leetcode.com/problems/word-break/ -1. Combination Sum: https://leetcode.com/problems/combination-sum-iv/ -1. Decode Ways: https://leetcode.com/problems/decode-ways/ -1. Unique Paths: https://leetcode.com/problems/unique-paths/ -1. Palindromic Substrings: https://leetcode.com/problems/palindromic-substrings/ -1. Number of Longest Increasing Subsequence: https://leetcode.com/problems/number-of-longest-increasing-subsequence/ -1. Partition Equal Subset Sum: https://leetcode.com/problems/partition-equal-subset-sum/ -1. Best Time to Buy and Sell Stock with Cooldown: https://leetcode.com/problems/best-time-to-buy-and-sell-stock-with-cooldown/ -1. Counting Bits: https://leetcode.com/problems/counting-bits/ - -#### Hard: - -1. Longest Valid Parentheses: https://leetcode.com/problems/longest-valid-parentheses/ - -
- -
- Fast & Slow Pointers - -The fast & slow pointer approach can be found under `3. Fast and Slow pointers` [here]. - -#### Easy: - -1. Linked List Cycle: https://leetcode.com/problems/linked-list-cycle/ -1. Middle of the Linked List: https://leetcode.com/problems/middle-of-the-linked-list/ -1. Palindrome Linked List: https://leetcode.com/problems/palindrome-linked-list/ -1. Remove Linked List Elements: https://leetcode.com/problems/remove-linked-list-elements/ -1. Remove Duplicates from Sorted List: https://leetcode.com/problems/remove-duplicates-from-sorted-list/ - -#### Medium: - -1. Linked List Cycle II: https://leetcode.com/problems/linked-list-cycle-ii/ -1. Add Two Numbers: https://leetcode.com/problems/add-two-numbers/ -1. Remove Nth Node From End Of List: https://leetcode.com/problems/remove-nth-node-from-end-of-list/ -1. Sort List: https://leetcode.com/problems/sort-list/ -1. Reorder List: https://leetcode.com/problems/reorder-list/ - -
- -
- Graph Traversals - -#### Medium: - -1. Clone Graph: https://leetcode.com/problems/clone-graph/ -1. Course Schedule: https://leetcode.com/problems/course-schedule/ -1. Pacific Atlantic Water Flow: https://leetcode.com/problems/pacific-atlantic-water-flow/ -1. Number of Islands: https://leetcode.com/problems/number-of-islands/ -1. Graph Valid Tree: https://leetcode.com/problems/graph-valid-tree/ -1. Number of Connected Components in an Undirected Graph: https://leetcode.com/problems/number-of-connected-components-in-an-undirected-graph/ - -
- -
- In-place Reversal of a Linked List - -The in-place reveral technique can be found under `6. In-place reversal of linked list` [here]. - -#### Easy: - -1. Reverse Linked List: https://leetcode.com/problems/reverse-linked-list/ - -#### Medium: - -1. Reverse Linked List II: https://leetcode.com/problems/reverse-linked-list-ii/ -1. Rotate List: https://leetcode.com/problems/rotate-list/ -1. Swap Nodes in Pairs: https://leetcode.com/problems/swap-nodes-in-pairs/ -1. Odd Even Linked List: https://leetcode.com/problems/odd-even-linked-list/ - -#### Hard: - -1. Reverse Nodes in k-Group: https://leetcode.com/problems/reverse-nodes-in-k-group/ - -
- -
- K-Way Merge - -The k-way merge technique can be found under `13. K-way Merge` [here]. - -#### Easy: - -1. Merge Two Sorted Lists: https://leetcode.com/problems/merge-two-sorted-lists/ - -#### Hard: - -1. Merge k Sorted Lists: https://leetcode.com/problems/merge-k-sorted-lists/ - -
- -
- Matrices - -#### Medium: - -1. Set Matrix Zeroes: https://leetcode.com/problems/set-matrix-zeroes/ -1. Spiral Matrix: https://leetcode.com/problems/spiral-matrix/ -1. Rotate Image: https://leetcode.com/problems/rotate-image/ -1. Word Search: https://leetcode.com/problems/word-search/ -1. Kth Smallest Element in a Sorted Matrix: https://leetcode.com/problems/kth-smallest-element-in-a-sorted-matrix/ - -
- -
- Intervals - -The merge interval approach can be found under `4. Merge Intervals` [here]. - -#### Easy: - -1. Meeting Rooms: https://leetcode.com/problems/meeting-rooms - -#### Medium: - -1. Merge Intervals: https://leetcode.com/problems/merge-intervals/ -1. Interval List Intersections: https://leetcode.com/problems/interval-list-intersections/ -1. Non-overlapping Intervals: https://leetcode.com/problems/non-overlapping-intervals/ -1. Meeting Rooms II: https://leetcode.com/problems/meeting-rooms-ii/ -1. Task Scheduler: https://leetcode.com/problems/task-scheduler/ -1. Minimum Number of Arrows to Burst Balloons: https://leetcode.com/problems/minimum-number-of-arrows-to-burst-balloons/ - -#### Hard: - -1. Insert Interval: https://leetcode.com/problems/insert-interval/ -1. Employee Free Time: https://leetcode.com/problems/employee-free-time/ - -
- -
- Modified Binary Search - -The modified binary search algorithm can be found under `11. Modified binary search` [here]. - -#### Easy: - -1. Binary Search: https://leetcode.com/problems/binary-search/ -1. Find Smallest Letter Greater Than Target: https://leetcode.com/problems/find-smallest-letter-greater-than-target/ -1. Peak Index in a Mountain Array: https://leetcode.com/problems/peak-index-in-a-mountain-array/ - -#### Medium: - -1. Find Minimum in Rotated Sorted Array: https://leetcode.com/problems/find-minimum-in-rotated-sorted-array/ -1. Find Peak Element: https://leetcode.com/problems/find-peak-element/ -1. Search in Rotated Sorted Array: https://leetcode.com/problems/search-in-rotated-sorted-array/ -1. Search in Rotated Sorted Array II: https://leetcode.com/problems/search-in-rotated-sorted-array-ii/ -1. Search a 2D Matrix: https://leetcode.com/problems/search-a-2d-matrix/ -1. Search a 2D Matrix II: https://leetcode.com/problems/search-a-2d-matrix-ii/ - -#### Hard: - -1. Count of Range Sum: https://leetcode.com/problems/count-of-range-sum/ - -
- -
- Sliding Window - -The sliding window approach can be found under `1. Sliding Window` [here]. - -#### Medium: - -1. Minimum Size Subarray Sum: https://leetcode.com/problems/minimum-size-subarray-sum/ -1. Fruit Into Baskets: https://leetcode.com/problems/fruit-into-baskets/ -1. Permutation in String: https://leetcode.com/problems/permutation-in-string/ -1. Longest Repeating Character Replacement: https://leetcode.com/problems/longest-repeating-character-replacement/ -1. Longest Substring Without Repeating Characters: https://leetcode.com/problems/longest-substring-without-repeating-characters/ - -#### Hard: - -1. Sliding Window Maximum: https://leetcode.com/problems/sliding-window-maximum/ -1. Minimum Number of K Consecutive Bit Flips: https://leetcode.com/problems/minimum-number-of-k-consecutive-bit-flips/ -1. Unique Letter String: https://leetcode.com/problems/unique-letter-string/ -1. Substring with Concatenation of All Words: https://leetcode.com/problems/substring-with-concatenation-of-all-words/ - -
- -
- Top 'K' Elements - -The top K element technique can be found under `12. Top K elements` [here]. - -#### Medium: - -1. Kth Smallest Element in a BST: https://leetcode.com/problems/kth-smallest-element-in-a-bst/ -1. K Closest Points to Origin: https://leetcode.com/problems/k-closest-points-to-origin/ -1. Top K Frequent Elements: https://leetcode.com/problems/top-k-frequent-elements/ -1. Sort Characters By Frequency: https://leetcode.com/problems/sort-characters-by-frequency/ -1. Kth Largest Element in an Array: https://leetcode.com/problems/kth-largest-element-in-an-array/ -1. Find K Closest Elements: https://leetcode.com/problems/find-k-closest-elements/ -1. Reorganize String: https://leetcode.com/problems/reorganize-string/ - -#### Hard: - -1. Rearrange String k Distance Apart: https://leetcode.com/problems/rearrange-string-k-distance-apart -1. Course Schedule III: https://leetcode.com/problems/course-schedule-iii/ -1. Maximum Frequency Stack: https://leetcode.com/problems/maximum-frequency-stack/ - -
- -
- Topological Sort - -The topological sort algorithm can be found under `14. Topological sort` [here]. - -#### Medium: - -1. Course Schedule: https://leetcode.com/problems/course-schedule/ -1. Course Schedule II: https://leetcode.com/problems/course-schedule-ii/ -1. Minimum Height Trees: https://leetcode.com/problems/minimum-height-trees/ - -#### Hard: - -1. Alien Dictionary: https://leetcode.com/problems/alien-dictionary -1. Sequence Reconstruction: https://leetcode.com/problems/sequence-reconstruction - -
- -
- Tree Breadth First Search - -The tree BFS technique can be found under `7. Tree BFS` [here]. - -#### Easy: - -1. Binary Tree Level Order Traversal II: https://leetcode.com/problems/binary-tree-level-order-traversal-ii/ -1. Average of Levels in Binary Tree: https://leetcode.com/problems/average-of-levels-in-binary-tree/ -1. Minimum Depth of Binary Tree: https://leetcode.com/problems/minimum-depth-of-binary-tree/ - -#### Medium: - -1. Binary Tree Level Order Traversal: https://leetcode.com/problems/binary-tree-level-order-traversal/ -1. Binary Tree Zigzag Level Order Traversal: https://leetcode.com/problems/binary-tree-zigzag-level-order-traversal/ -1. Populating Next Right Pointers in Each Node: https://leetcode.com/problems/populating-next-right-pointers-in-each-node/ -1. Populating Next Right Pointers in Each Node II: https://leetcode.com/problems/populating-next-right-pointers-in-each-node-ii/ -1. Binary Tree Right Side View: https://leetcode.com/problems/binary-tree-right-side-view/ -1. All Nodes Distance K in Binary Tree: https://leetcode.com/problems/all-nodes-distance-k-in-binary-tree/ -1. Boundary of Binary Tree: https://leetcode.com/problems/boundary-of-binary-tree - -
- -
- Tree Depth First Search - -The tree DFS technique can be found under `8. Tree DFS` [here]. - -#### Easy: - -1. Same Tree: https://leetcode.com/problems/same-tree/ -1. Path Sum: https://leetcode.com/problems/path-sum/ -1. Diameter of Binary Tree: https://leetcode.com/problems/diameter-of-binary-tree/ -1. Merge Two Binary Trees: https://leetcode.com/problems/merge-two-binary-trees/ -1. Maximum Depth of Binary Tree: https://leetcode.com/problems/maximum-depth-of-binary-tree/ -1. Lowest Common Ancestor of a Binary Search Tree: https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/ -1. Subtree of Another Tree: https://leetcode.com/problems/subtree-of-another-tree/ -1. Invert Binary Tree: https://leetcode.com/problems/invert-binary-tree/ - -#### Medium: - -1. Path Sum II: https://leetcode.com/problems/path-sum-ii/ -1. Path Sum III: https://leetcode.com/problems/path-sum-iii/ -1. Lowest Common Ancestor of a Binary Tree: https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-tree/ -1. Maximum Binary Tree: https://leetcode.com/problems/maximum-binary-tree/ -1. Maximum Width of Binary Tree: https://leetcode.com/problems/maximum-width-of-binary-tree/ -1. Construct Binary Tree from Preorder and Inorder Traversal: https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal/ -1. Validate Binary Search Tree: https://leetcode.com/problems/validate-binary-search-tree/ -1. Kth Smallest Element in a BST: https://leetcode.com/problems/kth-smallest-element-in-a-bst/ -1. Implement Trie (Prefix Tree): https://leetcode.com/problems/implement-trie-prefix-tree/ - -#### Hard: - -1. Binary Tree Maximum Path Sum: https://leetcode.com/problems/binary-tree-maximum-path-sum/ -1. Serialize and Deserialize Binary Tree: https://leetcode.com/problems/serialize-and-deserialize-binary-tree/ -1. Word Search II: https://leetcode.com/problems/word-search-ii/ - -
- -
- Two Heaps - -The two heaps approach can be found under `9. Two heaps` [here]. - -#### Hard: - -1. Find Median from Data Stream: https://leetcode.com/problems/find-median-from-data-stream/ -1. Sliding Window Median: https://leetcode.com/problems/sliding-window-median/ -1. IPO: https://leetcode.com/problems/ipo/ - -
- -
- Two Pointers - -The two pointer approach can be found under `2. Two Pointers or Iterators` [here]. - -#### Easy: - -1. Two Sum II - Input array is sorted: https://leetcode.com/problems/two-sum-ii-input-array-is-sorted/ -1. Remove Duplicates from Sorted List: https://leetcode.com/problems/remove-duplicates-from-sorted-list/ -1. Squares of a Sorted Array: https://leetcode.com/problems/squares-of-a-sorted-array/ -1. Backspace String Compare: https://leetcode.com/problems/backspace-string-compare - -#### Medium: - -1. 3 Sum: https://leetcode.com/problems/3sum/ -1. 3 Sum Closest: https://leetcode.com/problems/3sum-closest/ -1. Subarrays with Product Less than K: https://leetcode.com/problems/subarray-product-less-than-k/ -1. Sort Colours: https://leetcode.com/problems/sort-colors/ - -#### Hard: - -1. Minimum Window Substring: https://leetcode.com/problems/minimum-window-substring/ -1. Trapping Rain Water: https://leetcode.com/problems/trapping-rain-water/ -1. Container With Most Water: https://leetcode.com/problems/container-with-most-water/ - -
+The entire question list can be found here: +https://seanprashad.com/leetcode-patterns/. ## 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 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 +## Suggestions -Else - - Map/Set for O(1) time & O(n) space - - Sort input for O(nlogn) time and O(1) space -``` +Think a question should/shouldn't be included? Wish there was another feature? +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 [14 patterns to ace any coding interview question]: https://hackernoon.com/14-patterns-to-ace-any-coding-interview-question-c5bb3357f6ed 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 new file mode 100644 index 00000000..cc5cd23e --- /dev/null +++ b/package-lock.json @@ -0,0 +1,19487 @@ +{ + "name": "web", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "web", + "version": "0.1.0", + "dependencies": { + "bootstrap": "^5.3.2", + "classnames": "^2.3.2", + "gh-pages": "^6.1.0", + "prop-types": "^15.8.1", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "react-ga4": "^2.1.0", + "react-icons": "^4.12.0", + "react-markdown": "^9.0.1", + "react-minimal-pie-chart": "^8.4.0", + "react-scripts": "^5.0.1", + "react-scroll": "^1.9.0", + "react-table": "^7.8.0", + "react-toggle": "^4.1.3", + "react-tooltip": "^5.25.0", + "reactstrap": "^9.2.1", + "sass": "^1.69.5", + "yaml": "^2.8.2" + }, + "devDependencies": { + "eslint": "^8.55.0", + "eslint-config-airbnb": "^19.0.4", + "eslint-config-prettier": "^9.1.0", + "eslint-plugin-import": "^2.29.1", + 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a/src/components/Acknowledgements/index.js b/src/components/Acknowledgements/index.js new file mode 100644 index 00000000..6216f1aa --- /dev/null +++ b/src/components/Acknowledgements/index.js @@ -0,0 +1,101 @@ +import React from 'react'; +import { + Card, + CardImg, + CardBody, + CardTitle, + CardSubtitle, + NavLink, + Row, + Col, + Container, +} from 'reactstrap'; +import { Event } from '../Shared/Tracking'; + +import './styles.scss'; + +const imagePath = `${process.env.PUBLIC_URL}/static/images/`; +const Blind = `${imagePath}Blind.png`; +const DesignGurus = `${imagePath}DesignGurus.png`; +const Hackernoon = `${imagePath}Hackernoon.png`; + +const Acknowledgements = () => { + return ( + + +

+ The following sources were used in aggregating this question list: +

+
+ + + + + + Blind Curated 75 Question List + + { + Event('Acknowledgements', 'Clicked URL', 'Blind 75 url'); + }} + > + https://www.teamblind.com/post/New-Year-Gift---Curated-List-of-Top-100-LeetCode-Questions-to-Save-Your-Time-OaM1orEU + + + + + + + + + + + Grokking the Coding Interview: Patterns for Coding Questions + + + { + Event( + 'Acknowledgements', + 'Clicked URL', + 'DesignGurus.io url', + ); + }} + > + https://www.designgurus.io/course/grokking-the-coding-interview + + + + + + + + + + + 14 Patterns to Ace Any Coding Interview Question + + + { + Event('Acknowledgements', 'Clicked URL', 'Hackernoon url'); + }} + > + https://hackernoon.com/14-patterns-to-ace-any-coding-interview-question-c5bb3357f6ed + + + + + + +
+ ); +}; + +export default Acknowledgements; diff --git a/src/components/Acknowledgements/styles.scss b/src/components/Acknowledgements/styles.scss new file mode 100644 index 00000000..3602f44c --- /dev/null +++ b/src/components/Acknowledgements/styles.scss @@ -0,0 +1,25 @@ +.acknowledgements { + justify-content: center; + + .row { + justify-content: center; + } + + h1 { + text-align: center; + } + + .nav-link { + 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 new file mode 100644 index 00000000..9367c785 --- /dev/null +++ b/src/components/App.js @@ -0,0 +1,25 @@ +import React from 'react'; + +import './styles.scss'; + +import Navigation from './Navigation'; +import Tabs from './Tabs'; + +import { initGA } from './Shared/Tracking'; + +class App extends React.Component { + componentDidMount() { + initGA('G-J7FBQPGZTW'); + } + + render() { + return ( +
+ + +
+ ); + } +} + +export default App; diff --git a/src/components/Dark-Mode/index.js b/src/components/Dark-Mode/index.js new file mode 100644 index 00000000..04543c69 --- /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 new file mode 100644 index 00000000..907bc2bd --- /dev/null +++ b/src/components/Navigation/index.js @@ -0,0 +1,46 @@ +import React from 'react'; +import { + Container, + Nav, + Navbar, + NavbarBrand, + NavLink, + NavItem, +} from 'reactstrap'; +import { FaGithub } from 'react-icons/fa'; +import { Event } from '../Shared/Tracking'; + +import './styles.scss'; +import DarkMode from '../Dark-Mode'; + +const Navigation = () => { + return ( + + + + Event('Navigation', 'Clicked link', 'Leetcode Patterns link') + } + > + Leetcode Patterns + + + + + ); +}; + +export default Navigation; diff --git a/src/components/Navigation/styles.scss b/src/components/Navigation/styles.scss new file mode 100644 index 00000000..86e5e0cf --- /dev/null +++ b/src/components/Navigation/styles.scss @@ -0,0 +1,100 @@ +// ============================================ +// NAVBAR STRUCTURE +// ============================================ + +.navbar.sticky { + position: sticky; + top: 0; + z-index: 100; + + .container { + display: flex; + flex-wrap: nowrap; + align-items: center; + justify-content: space-between; + } + + .nav { + flex-direction: row !important; + } +} + +// ============================================ +// THEME STYLES - Light & Dark Mode +// ============================================ + +body.light-mode .navbar { + background-color: #f7f8f9; + color: #000000; + + a { + color: #212529; + } +} + +body.dark-mode .navbar { + background-color: #1d2125; + color: #ffffff; + + a { + color: #ffffff; + } +} + +body.dark-mode .navbar-nav { + svg { + color: #ffffff; + + &:hover { + color: #ffc952; + } + } +} + +// ============================================ +// NAVBAR BRAND +// ============================================ + +.navbar-brand { + font-weight: 600; + letter-spacing: 1px; + text-transform: uppercase; + margin-right: 0; + padding: 0; +} + +// ============================================ +// NAVBAR NAVIGATION +// ============================================ + +.navbar-nav { + gap: 10px; + + .nav-item { + letter-spacing: 1px; + text-align: center; + text-transform: uppercase; + cursor: pointer; + display: flex; + align-items: center; + + &:hover { + color: #ffc952 !important; + } + } + + a { + color: #212529 !important; + display: inline; + font-size: 1rem; + + &:hover { + color: #ffc952 !important; + } + } + + svg { + font-size: 2em; + margin: 0; + } +} diff --git a/src/components/PatternFrequencies/index.js b/src/components/PatternFrequencies/index.js new file mode 100644 index 00000000..6d30e9e2 --- /dev/null +++ b/src/components/PatternFrequencies/index.js @@ -0,0 +1,75 @@ +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..be01a9e9 --- /dev/null +++ b/src/components/PatternFrequencies/styles.scss @@ -0,0 +1,42 @@ +// ============================================ +// PATTERN FREQUENCY COMPONENT +// ============================================ + +.pattern-count { + padding: 0.75em; + + h5 { + font-weight: bold; + } + + // Base badge styles + .badge { + margin: 0.25em 0.25em; + background-color: #6c757d !important; + color: #ffffff !important; + display: inline-block; + width: auto; + white-space: nowrap; + } + + .badge-secondary { + background-color: #6c757d !important; + color: #ffffff !important; + } + + // Difficulty-based badges + .badge.easy { + background-color: #5cb85c !important; + color: #ffffff !important; + } + + .badge.medium { + background-color: #f0ad4e !important; + color: #ffffff !important; + } + + .badge.hard { + background-color: #d9534f !important; + color: #ffffff !important; + } +} diff --git a/src/components/Shared/Tracking/index.js b/src/components/Shared/Tracking/index.js new file mode 100644 index 00000000..8ca524ec --- /dev/null +++ b/src/components/Shared/Tracking/index.js @@ -0,0 +1,20 @@ +import ReactGA from 'react-ga4'; + +const initGA = (trackingID, options) => { + ReactGA.initialize([ + { + trackingId: trackingID, + gaOptions: { ...options }, + }, + ]); +}; + +const Event = (category, action, label) => { + ReactGA.event({ + category, + action, + label, + }); +}; + +export { initGA, Event }; diff --git a/src/components/Table/filters.js b/src/components/Table/filters.js new file mode 100644 index 00000000..ea6c8ca4 --- /dev/null +++ b/src/components/Table/filters.js @@ -0,0 +1,78 @@ +import React from 'react'; + +function CreateDropDownListHelper(options, filterValue, setFilter, id) { + return ( + + ); +} + +export function DefaultColumnFilter({ + // eslint-disable-next-line react/prop-types + column: { filterValue, preFilteredRows, setFilter }, +}) { + // eslint-disable-next-line react/prop-types + const count = preFilteredRows.length; + + return ( + { + setFilter(e.target.value || ''); + }} + placeholder={`Search ${count} questions`} + /> + ); +} + +export function SelectDifficultyColumnFilter({ + column: { filterValue, setFilter, id }, +}) { + const options = ['Easy', 'Medium', 'Hard']; + + return CreateDropDownListHelper(options, filterValue, setFilter, id); +} + +export function SelectColumnFilter({ + column: { filterValue, setFilter, preFilteredRows, id }, +}) { + const options = React.useMemo(() => { + const set = new Set(); + + preFilteredRows.forEach((row) => { + const values = String(row.values[id]).split(','); + + values.forEach((value) => { + set.add(value); + }); + }); + + return [...set.values()].sort(); + }, [id, preFilteredRows]); + + return CreateDropDownListHelper(options, filterValue, setFilter, id); +} + +export function SelectCheckedColumnFilter({ + column: { filterValue, setFilter, id, filterByCheckbox }, +}) { + const options = ['Checked', 'Unchecked']; + const filter = (val) => { + setFilter(val); + filterByCheckbox(); + }; + + return CreateDropDownListHelper(options, filterValue, filter, id); +} diff --git a/src/components/Table/index.js b/src/components/Table/index.js new file mode 100644 index 00000000..3ec8863b --- /dev/null +++ b/src/components/Table/index.js @@ -0,0 +1,642 @@ +/* eslint-disable react/jsx-props-no-spreading */ +import React, { useState, useEffect } from 'react'; +import PropTypes from 'prop-types'; +import { + Table as ReactTable, + Container, + Row, + Badge, + Progress, + NavLink, + Button, + Modal, + ModalHeader, + ModalFooter, +} from 'reactstrap'; +import Toggle from 'react-toggle'; +import { Tooltip } from 'react-tooltip'; +import { PieChart } from 'react-minimal-pie-chart'; +import { useTable, useFilters, useSortBy } from 'react-table'; +import { + FaLock, + FaExternalLinkAlt, + FaRandom, + FaQuestionCircle, +} from 'react-icons/fa'; +import { + DefaultColumnFilter, + SelectDifficultyColumnFilter, + SelectColumnFilter, + SelectCheckedColumnFilter, +} from './filters'; +import { Event } from '../Shared/Tracking'; + +import questions, { updated } from '../../data'; + +import 'react-toggle/style.css'; +import './styles.scss'; + +const iconPath = `${process.env.PUBLIC_URL}/static/icons/`; + +const Table = () => { + const [resetCount, setResetCount] = useState(0); + let checkedList = + JSON.parse(localStorage.getItem('checked')) || + new Array(questions.length).fill(false); + + let checkedAtList = + JSON.parse(localStorage.getItem('checkedAt')) || + new Array(questions.length).fill(''); + + /* If the user has previously visited the website, then an array in + LocalStorage would exist of a certain length which corresponds to which + questions they have/have not completed. In the event that we add new questions + to the list, then we would need to resize and copy the existing 'checked' + array before updating it in LocalStorage in order to transfer their saved + progress. */ + if (checkedList.length !== questions.length) { + const resizedCheckedList = new Array(questions.length).fill(false); + + for (let i = 0; i < checkedList.length; i += 1) { + resizedCheckedList[i] = checkedList[i]; + } + + checkedList = resizedCheckedList; + window.localStorage.setItem('checked', JSON.stringify(checkedList)); + } + + if (checkedAtList.length !== questions.length) { + const resizedCheckedAtList = new Array(questions.length).fill(''); + + for (let i = 0; i < checkedAtList.length; i += 1) { + resizedCheckedAtList[i] = checkedAtList[i]; + } + + checkedAtList = resizedCheckedAtList; + window.localStorage.setItem('checkedAt', JSON.stringify(checkedAtList)); + } + + const filteredByCheckbox = () => { + const checkbox = localStorage.getItem('checkbox') || ''; + return questions.filter((question) => { + if (!checkbox) return true; + return question.checkbox === checkbox; + }); + }; + + for (let i = 0; i < questions.length; i += 1) { + if (checkedList[questions[i].id]) { + questions[i].checkbox = 'Checked'; + } else { + questions[i].checkbox = 'Unchecked'; + } + } + + const difficultyMap = { Easy: 0, Medium: 0, Hard: 0, Total: 0 }; + const totalDifficultyCount = { + Easy: 0, + Medium: 0, + Hard: 0, + Total: questions.length, + }; + for (let i = 0; i < questions.length; i += 1) { + difficultyMap[questions[i].difficulty] += checkedList[questions[i].id]; + difficultyMap.Total += checkedList[questions[i].id]; + totalDifficultyCount[questions[i].difficulty] += 1; + } + + const [checkedAt, setCheckedAt] = useState(checkedAtList); + const [data, setData] = useState(filteredByCheckbox()); + const [difficultyCount, setDifficultyCount] = useState(difficultyMap); + const [checked, setChecked] = useState(checkedList); + const [showPatterns, setShowPatterns] = useState( + JSON.parse(localStorage.getItem('showPatterns')) || new Array(1).fill(true), + ); + + useEffect(() => { + window.localStorage.setItem('checked', JSON.stringify(checked)); + }, [checked]); + + useEffect(() => { + window.localStorage.setItem('checkedAt', JSON.stringify(checkedAt)); + }, [checkedAt]); + + useEffect(() => { + window.localStorage.setItem('showPatterns', JSON.stringify(showPatterns)); + }, [showPatterns]); + + const defaultColumn = React.useMemo( + () => ({ + Filter: DefaultColumnFilter, + minWidth: 30, + maxWidth: 30, + }), + [], + ); + + const resetHandler = () => { + setChecked(new Array(checked.length).fill(false)); + setDifficultyCount(() => { + return { Easy: 0, Medium: 0, Hard: 0, Total: 0 }; + }); + const count = resetCount + 1; + setResetCount(count); + setCheckedAt(checkedAt.map(() => '')); + }; + + const columns = React.useMemo( + () => [ + { + Header: 'Leetcode Patterns', + columns: [ + { + Header: () => { + const [resetModal, setResetModal] = React.useState(false); + const toggleResetModal = () => { + setResetModal(!resetModal); + }; + + return ( + + + `${difficultyCount.Total} / + ${totalDifficultyCount.Total}` + } + labelPosition={0} + labelStyle={{ + // Needed for Dark Reader to work + fill: '#A54800', + }} + startAngle={-90} + lineWidth={12} + className="progress-pie" + background="#e9ecef" + /> + + + + Are you sure you want to reset your progress? + + + + + + + + ); + }, + accessor: 'checkbox', + id: 'checkbox', + filterByCheckbox: () => { + setData(filteredByCheckbox()); + }, + disableSortBy: true, + Cell: (cellInfo) => { + return ( + + { + checked[cellInfo.row.original.id] = + !checked[cellInfo.row.original.id]; + const currentTime = new Date().toISOString().slice(0, 10); + // const updatedCheckedAt = [...checkedAt]; + checkedAt[cellInfo.row.original.id] = checked[ + cellInfo.row.original.id + ] + ? currentTime + : null; + const question = questions.find( + (q) => q.id === cellInfo.row.original.id, + ); + if (checked[cellInfo.row.original.id]) { + question.checkbox = 'Checked'; + } else { + question.checkbox = 'Unchecked'; + } + const additive = checked[cellInfo.row.original.id] + ? 1 + : -1; + difficultyCount[cellInfo.row.original.difficulty] += + additive; + difficultyCount.Total += additive; + setDifficultyCount(difficultyCount); + setChecked([...checked]); + setData(filteredByCheckbox()); + setCheckedAt([...checkedAt]); + }} + /> + + ); + }, + Filter: SelectCheckedColumnFilter, + }, + { + /* eslint-disable react/prop-types */ + Header: ({ filteredRows }) => { + const disableRandomQuestionButton = filteredRows.length === 0; + + const randomQuestion = () => { + const random = Math.floor(Math.random() * filteredRows.length); + const randomFilteredRow = filteredRows[random]; + const questionSlug = randomFilteredRow.original.slug; + /* eslint-enable react/prop-types */ + + window.open( + `https://leetcode.com/problems/${questionSlug}/`, + '_blank', + ); + }; + return ( + <> +
+ + + +
+
+ Questions{' '} + +
+ + ); + }, + accessor: 'questions', + disableSortBy: true, + Cell: (cellInfo) => { + return ( + { + Event( + 'Table', + 'Clicked question title', + `${cellInfo.row.original.title} question title`, + ); + }} + > + {cellInfo.row.original.premium ? ( + + {' '} + + ) : ( + '' + )} + {cellInfo.row.original.title} + + ); + }, + disableFilters: true, + }, + { + Header: 'Solutions', + accessor: 'solutions', + disableSortBy: true, + Cell: (cellInfo) => { + const url = `https://leetcode.com/problems/${cellInfo.row.original.slug}/`; + return ( + { + Event( + 'Table', + 'Clicked solution', + `${cellInfo.row.original.slug} solution`, + ); + }} + > + + + ); + }, + disableFilters: true, + }, + { + Header: () => { + return ( + // eslint-disable-next-line + // eslint-disable-next-line jsx-a11y/label-has-associated-control + + ); + }, + accessor: 'pattern', + disableSortBy: true, + id: 'pattern', + Cell: (cellInfo) => { + const patterns = `${cellInfo.row.original.pattern}` + .split(',') + .map((pattern) => { + if (showPatterns[0] || checked[cellInfo.row.original.id]) { + return ( + + {pattern} + + ); + } + + return ( + + *** + + ); + }); + + return {patterns}; + }, + + Filter: SelectColumnFilter, + }, + { + Header: 'Difficulty', + accessor: 'difficulty', + id: 'difficulty', + disableSortBy: true, + Cell: (cellInfo) => ( + + + {cellInfo.row.original.difficulty} + + + ), + Filter: SelectDifficultyColumnFilter, + }, + { + Header: () => { + const date = new Date(updated); + const month = date.toLocaleString('default', { + month: 'long', + }); + const day = date.getDate(); + const year = date.getFullYear(); + return ( + <> +
+ Companies{' '} + + + +
+ + ); + }, + accessor: 'companyNames', + sortType: (a, b) => { + if (a.original.companies.length === b.original.companies.length) { + return 0; + } + return a.original.companies.length > b.original.companies.length + ? 1 + : -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.name} + ); + }, + ); + + return {companies}; + }, + 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, + rows, + prepareRow, + } = useTable( + { + 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, + ); + + return ( + + + + + {headerGroups.map((headerGroup) => { + const { key: headerGroupKey, ...headerGroupProps } = + headerGroup.getHeaderGroupProps(); + return ( + + {headerGroup.headers.map((column) => { + const { key: columnKey, ...columnProps } = + column.getHeaderProps(); + return ( + +
+ {column.render('Header')} + {/* eslint-disable-next-line no-nested-ternary */} + {column.isSorted + ? column.isSortedDesc + ? ' 🔽' + : ' 🔼' + : ''} +
+
+ {column.canFilter ? column.render('Filter') : null} +
+ + ); + })} + + ); + })} + + + + {rows.map((row) => { + prepareRow(row); + const { key: rowKey, ...rowProps } = row.getRowProps(); + return ( + + {row.cells.map((cell) => { + const { key: cellKey, ...cellProps } = cell.getCellProps(); + return ( + + {cell.render('Cell')} + + ); + })} + + ); + })} + +
+
+ ); +}; + +const ProgressBar = ({ + name, + value, + total, + className = 'progress-bar-sm', + barClassName = null, +}) => { + return ( +
+
+
{name}
+
+ {value}/{total} +
+
+ +
+ ); +}; + +ProgressBar.propTypes = { + name: PropTypes.string.isRequired, + value: PropTypes.number.isRequired, + total: PropTypes.number.isRequired, + className: PropTypes.string, + barClassName: PropTypes.string, +}; + +export default Table; diff --git a/src/components/Table/styles.scss b/src/components/Table/styles.scss new file mode 100644 index 00000000..438ac293 --- /dev/null +++ b/src/components/Table/styles.scss @@ -0,0 +1,280 @@ +// ============================================ +// THEME STYLES - Light & Dark Mode +// ============================================ + +body.light-mode .table { + background-color: #ffffff; + color: #000000; + + table { + background-color: #ffffff !important; + color: #000000 !important; + } + + thead > tr th, + table thead > tr th { + background-color: #ffffff !important; + } + + tbody tr, + table tbody tr { + background-color: #ffffff !important; + } + + table tbody tr:nth-child(odd) { + background-color: #f1f2f4 !important; + } + + table tbody tr:nth-child(even) { + background-color: #ffffff !important; + } + + tbody tr:hover, + table tbody tr:hover { + background-color: #dcdfe4 !important; + color: #000000 !important; + } +} + +body.dark-mode .table { + background-color: #161a1d !important; + color: #ffffff !important; + + table { + background-color: #161a1d !important; + color: #ffffff !important; + } + + thead > tr th, + table thead > tr th { + background-color: #161a1d !important; + color: #ffffff !important; + } + + tbody tr, + table tbody tr { + background-color: #161a1d !important; + } + + tr:nth-child(odd), + table tbody tr:nth-child(odd) { + background-color: #22272b !important; + } + + tr:nth-child(even), + table tbody tr:nth-child(even) { + background-color: #161a1d !important; + } + + tbody tr:hover, + table tbody tr:hover { + background-color: #101214 !important; + color: #ffffff !important; + } +} + +// Override Bootstrap table defaults in dark mode +body.dark-mode table.custom-table { + --bs-table-bg: #161a1d !important; + --bs-table-striped-bg: #22272b !important; + --bs-table-hover-bg: #101214 !important; + --bs-table-color: #ffffff !important; + background-color: #161a1d !important; + color: #ffffff !important; + + thead tr th { + background-color: #161a1d !important; + color: #ffffff !important; + border-color: #22272b !important; + } + + tbody tr { + background-color: #161a1d !important; + color: #ffffff !important; + + &:nth-of-type(odd) { + --bs-table-accent-bg: #22272b !important; + background-color: #22272b !important; + } + + &:nth-of-type(even) { + background-color: #161a1d !important; + } + + &:hover { + --bs-table-accent-bg: #101214 !important; + background-color: #101214 !important; + } + + td { + background-color: inherit !important; + color: #ffffff !important; + border-color: #22272b !important; + } + } +} + +body.dark-mode .modal-content { + background-color: #1d2125; + color: #ffffff; + + .close { + color: #ffffff; + } +} + +// ============================================ +// TABLE STRUCTURE +// ============================================ + +.table { + .row { + justify-content: center; + } + + .nav-link { + padding: 0; + } + + .lastSolvedOn { + text-wrap: nowrap; + } + + // Sticky table header + thead { + > tr:first-child { + display: none; + } + + > tr th { + position: sticky; + top: 60px; + text-wrap: nowrap; + z-index: 10; + } + } +} + +// ============================================ +// DIFFICULTY INDICATORS +// ============================================ + +.table { + // Difficulty badge & progress bar colors + .easy, + .progress-bar.easy, + .progress .easy { + background-color: #5cb85c !important; + color: #ffffff !important; + } + + .medium, + .progress-bar.medium, + .progress .medium { + background-color: #f0ad4e !important; + color: #ffffff !important; + } + + .hard, + .progress-bar.hard, + .progress .hard { + background-color: #d9534f !important; + color: #ffffff !important; + } + + // Difficulty progress section + #difficultyProgress { + margin-bottom: 25px; + font-size: 11.5px; + + > div:nth-child(n + 2) { + margin-top: 12px; + } + } + + .progress-pie { + height: 75px; + } + + .progress-bar-sm { + height: 5px; + } + + .reset-button { + margin-top: 10px; + margin-bottom: 10px; + font-size: 0.7rem; + } +} + +// ============================================ +// BADGES & PATTERNS +// ============================================ + +.table { + .badge { + display: inline-block; + width: auto; + white-space: nowrap; + } + + .badge-secondary, + .patterns .badge, + .patterns .badge-secondary { + background-color: #6c757d !important; + color: #ffffff !important; + } + + .companies, + .patterns { + justify-content: space-evenly; + margin: 0; + flex-wrap: wrap; + } + + .patterns { + gap: 0.5rem; + + .badge { + display: inline-block; + width: auto; + white-space: nowrap; + } + } + + #pattern-toggle { + transform: scale(0.7); + margin: 0; + } +} + +// ============================================ +// COMPANY ICONS +// ============================================ + +.table .companies img { + padding: 5px; + max-width: 30px; + max-height: 30px; + height: auto; + width: auto; + object-fit: contain; + font-size: 10px; + font-weight: 600; + text-align: center; + color: #6c757d; + min-width: fit-content; +} + +// Dark mode alt text color for company images +body.dark-mode .table .companies img { + color: #ffffff; +} + +// ============================================ +// TOOLTIPS +// ============================================ + +.react-tooltip { + z-index: 1000 !important; +} diff --git a/src/components/Tabs/index.js b/src/components/Tabs/index.js new file mode 100644 index 00000000..d676971f --- /dev/null +++ b/src/components/Tabs/index.js @@ -0,0 +1,78 @@ +import React, { useState } from 'react'; +import { + TabContent, + TabPane, + Nav, + NavItem, + NavLink, + Container, +} from 'reactstrap'; +import classnames from 'classnames'; +import { Event } from '../Shared/Tracking'; + +import Table from '../Table'; +import Tips from '../Tips'; +import Acknowledgements from '../Acknowledgements'; + +import './styles.scss'; + +const Tabs = () => { + const [activeTab, setActiveTab] = useState('1'); + + const toggle = (tab) => { + if (activeTab !== tab) setActiveTab(tab); + }; + + return ( + + + + + + + + + + + + + + + ); +}; + +export default Tabs; diff --git a/src/components/Tabs/styles.scss b/src/components/Tabs/styles.scss new file mode 100644 index 00000000..ad99d327 --- /dev/null +++ b/src/components/Tabs/styles.scss @@ -0,0 +1,10 @@ +.tab-pane { + .active { + display: flex !important; + justify-content: center; + } +} + +.nav-link:hover { + cursor: pointer; +} diff --git a/src/components/Tips/index.js b/src/components/Tips/index.js new file mode 100644 index 00000000..e066bfe2 --- /dev/null +++ b/src/components/Tips/index.js @@ -0,0 +1,54 @@ +import React from 'react'; +import ReactMarkdown from 'react-markdown'; + +import './styles.scss'; + +const Tips = () => { + const input = ` + \`\`\`md +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/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 +- Trie + +Else +- Map/Set for O(1) time & O(n) space +- Sort input for O(nlogn) time and O(1) space +\`\`\``; + + return {input}; +}; + +export default Tips; diff --git a/src/components/Tips/styles.scss b/src/components/Tips/styles.scss new file mode 100644 index 00000000..84ef3d7e --- /dev/null +++ b/src/components/Tips/styles.scss @@ -0,0 +1,23 @@ +.tips { + text-align: center !important; + + display: block; + overflow-x: auto; + padding: 0.5em; + 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 new file mode 100644 index 00000000..da12d5f9 --- /dev/null +++ b/src/components/styles.scss @@ -0,0 +1,39 @@ +@import url('https://fonts.googleapis.com/css?family=Open+Sans:400,700'); + +.App { + margin-right: 0; + font-family: 'Open Sans', sans-serif; + font-size: 14px; + -webkit-font-smoothing: antialiased !important; +} + +.container { + max-width: 1200px !important; +} + +body.light-mode { + background-color: #ffffff; + color: #000000; + + a { + color: #0c66e4; + } +} + +body.dark-mode { + background-color: #161a1d; + color: #ffffff; + + 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 new file mode 100644 index 00000000..cfba9601 --- /dev/null +++ b/src/data/index.js @@ -0,0 +1,11 @@ +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 { 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..8095038e --- /dev/null +++ b/src/data/questions.json @@ -0,0 +1,10962 @@ +{ + "updated": "2025-12-14T12:04:06.946055", + "data": [ + { + "id": 0, + "title": "Contains Duplicate", + "slug": "contains-duplicate", + "pattern": [ + "Arrays" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 10 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 3 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + } + ] + }, + { + "id": 1, + "title": "Missing Number", + "slug": "missing-number", + "pattern": [ + "Arrays", + "Bit Manipulation" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 9 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Arista Networks", + "slug": "arista-networks", + "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": 7 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + } + ] + }, + { + "id": 3, + "title": "Single Number", + "slug": "single-number", + "pattern": [ + "Arrays", + "Bit Manipulation" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 15 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + } + ] + }, + { + "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": 13 + }, + { + "name": "Google", + "slug": "google", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 7 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 5 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 4 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "ThousandEyes", + "slug": "thousandeyes", + "frequency": 2 + }, + { + "name": "Asana", + "slug": "asana", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "Fractal Analytics", + "slug": "fractal-analytics", + "frequency": 2 + }, + { + "name": "ZS Associates", + "slug": "zs-associates", + "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": "Google", + "slug": "google", + "frequency": 10 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 10 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 5 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "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": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + } + ] + }, + { + "id": 7, + "title": "Set Matrix Zeroes", + "slug": "set-matrix-zeroes", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 18 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 15 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 7 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "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": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "Autodesk", + "slug": "autodesk", + "frequency": 2 + }, + { + "name": "J.P. Morgan", + "slug": "jpmorgan", + "frequency": 2 + } + ] + }, + { + "id": 8, + "title": "Spiral Matrix", + "slug": "spiral-matrix", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 19 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 15 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 8 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 7 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 6 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 6 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 5 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 4 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 4 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 4 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Epic Systems", + "slug": "epic-systems", + "frequency": 3 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "Akamai", + "slug": "akamai", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Yahoo", + "slug": "yahoo", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Roblox", + "slug": "roblox", + "frequency": 2 + }, + { + "name": "Morgan Stanley", + "slug": "morgan-stanley", + "frequency": 2 + }, + { + "name": "RBC", + "slug": "rbc", + "frequency": 2 + }, + { + "name": "PornHub", + "slug": "pornhub", + "frequency": 2 + } + ] + }, + { + "id": 9, + "title": "Rotate Image", + "slug": "rotate-image", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 13 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 12 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": "J.P. Morgan", + "slug": "jpmorgan", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 8 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Roblox", + "slug": "roblox", + "frequency": 3 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Flipkart", + "slug": "flipkart", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "Rakuten", + "slug": "rakuten", + "frequency": 2 + }, + { + "name": "AT&T", + "slug": "at-t", + "frequency": 2 + } + ] + }, + { + "id": 10, + "title": "Word Search", + "slug": "word-search", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 25 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 22 + }, + { + "name": "Karat", + "slug": "karat", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 7 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 4 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Faire", + "slug": "faire", + "frequency": 3 + }, + { + "name": "Atlassian", + "slug": "atlassian", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Epic Systems", + "slug": "epic-systems", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Snap", + "slug": "snapchat", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "Grammarly", + "slug": "grammarly", + "frequency": 2 + } + ] + }, + { + "id": 11, + "title": "First Missing Positive", + "slug": "first-missing-positive", + "pattern": [ + "Arrays" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 18 + }, + { + "name": "Google", + "slug": "google", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Cognizant", + "slug": "cognizant", + "frequency": 2 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "MakeMyTrip", + "slug": "makemytrip", + "frequency": 2 + }, + { + "name": "Myntra", + "slug": "myntra", + "frequency": 2 + }, + { + "name": "General Motors", + "slug": "general-motors", + "frequency": 2 + }, + { + "name": "Zomato", + "slug": "zomato", + "frequency": 2 + } + ] + }, + { + "id": 12, + "title": "Longest Consecutive Sequence", + "slug": "longest-consecutive-sequence", + "pattern": [ + "Arrays" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 23 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 19 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 7 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 4 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 4 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Okta", + "slug": "okta", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 2 + }, + { + "name": "Deloitte", + "slug": "deloitte", + "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": "Meta", + "slug": "facebook", + "frequency": 15 + }, + { + "name": "Google", + "slug": "google", + "frequency": 13 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 10 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Wix", + "slug": 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"slug": "facebook", + "frequency": 5 + }, + { + "name": "Epic Systems", + "slug": "epic-systems", + "frequency": 4 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "DE Shaw", + "slug": "de-shaw", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + } + ] + }, + { + "id": 26, + "title": "Generalized Abbreviation", + "slug": "generalized-abbreviation", + "pattern": [ + "Backtracking" + ], + "difficulty": "Medium", + "premium": true, + "companies": [] + }, + { + "id": 27, + "title": "Sudoku Solver", + "slug": 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"name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + } + ] + }, + { + "id": 34, + "title": "House Robber II", + "slug": "house-robber-ii", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Databricks", + "slug": "databricks", + "frequency": 4 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Docusign", + "slug": "docusign", + "frequency": 2 + } + ] + }, + { + "id": 35, + "title": "Coin Change", + "slug": "coin-change", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 10 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 8 + }, + { + "name": "Pinterest", + "slug": "pinterest", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 6 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 6 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 5 + }, + { + "name": "Datadog", + "slug": "datadog", + "frequency": 4 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Intuit", + "slug": "intuit", + "frequency": 3 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "PhonePe", + "slug": "phonepe", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "Mastercard", + "slug": "mastercard", + "frequency": 2 + } + ] + }, + { + "id": 36, + "title": "Maximum Product Subarray", + "slug": "maximum-product-subarray", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 10 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 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"slug": "paypal", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 4 + }, + { + "name": "Squarepoint Capital", + "slug": "squarepoint-capital", + "frequency": 3 + }, + { + "name": "Huawei", + "slug": "huawei", + "frequency": 2 + }, + { + "name": "Agoda", + "slug": "agoda", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + } + ] + }, + { + "id": 38, + "title": "Longest Palindromic Substring", + "slug": "longest-palindromic-substring", + "pattern": [ + "Dynamic Programming" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 38 + }, + { + "name": "Google", + "slug": "google", + "frequency": 31 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 19 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 18 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 14 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 11 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 10 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 4 + }, + { + "name": "Deloitte", + "slug": "deloitte", + "frequency": 4 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 3 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 3 + }, + { + "name": "EPAM Systems", + "slug": "epam-systems", + "frequency": 3 + }, + { + "name": "Cognizant", + "slug": "cognizant", + "frequency": 3 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Morgan Stanley", + "slug": "morgan-stanley", + "frequency": 2 + }, + { + "name": "PhonePe", + "slug": "phonepe", + "frequency": 2 + }, + { + "name": "HSBC", + "slug": "hsbc", + "frequency": 2 + }, + { + "name": "ZS Associates", + "slug": "zs-associates", + "frequency": 2 + }, + { + "name": "HashedIn", + "slug": "hashedin", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "Softwire", + "slug": 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"frequency": 4 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "American Express", + "slug": "american-express", + "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": 64 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 41 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 26 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 26 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 15 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 4 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 4 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "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": 15 + }, + { + "name": "Google", + "slug": "google", + "frequency": 9 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 3 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 3 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 3 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 2 + }, + { + "name": "Tinkoff", + "slug": "tinkoff", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + } + ] + }, + { + "id": 59, + "title": "Sort List", + "slug": "sort-list", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Lyft", + "slug": "lyft", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + } + ] + }, + { + "id": 60, + "title": "Reorder List", + "slug": "reorder-list", + "pattern": [ + "Fast & Slow Pointers" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 6 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Arista Networks", + "slug": "arista-networks", + "frequency": 2 + } + ] + }, + { + "id": 61, + "title": "Pacific Atlantic Water Flow", + "slug": "pacific-atlantic-water-flow", + "pattern": [ + "BFS", + "DFS" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 10 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Urban Company", + "slug": "urban-company", + "frequency": 2 + }, + { + "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": 44 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 28 + }, + { + "name": "Google", + "slug": "google", + "frequency": 14 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 13 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 12 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 11 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 10 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 10 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 9 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 8 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 6 + }, + { + "name": "Snap", + "slug": "snapchat", + "frequency": 6 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 5 + }, + { + "name": "Samsung", + "slug": "samsung", + "frequency": 4 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 4 + }, + { + "name": "Qualcomm", + "slug": "qualcomm", + "frequency": 4 + }, + { + "name": "Expedia", + "slug": "expedia", + "frequency": 3 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 3 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 3 + }, + { + "name": "Wells Fargo", + "slug": "wells-fargo", + "frequency": 3 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 3 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 3 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 3 + }, + { + "name": "Wix", + "slug": "wix", + "frequency": 3 + }, + { + "name": "Siemens", + "slug": "siemens", + "frequency": 3 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Docusign", + "slug": "docusign", + "frequency": 2 + }, + { + "name": "Hive", + "slug": "hive", + "frequency": 2 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 2 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "BitGo", + "slug": "bitgo", + "frequency": 2 + }, + { + "name": "CrowdStrike", + "slug": "crowdstrike", + "frequency": 2 + }, + { + "name": "Cloudflare", + "slug": "cloudflare", + "frequency": 2 + }, + { + "name": "Grammarly", + "slug": "grammarly", + "frequency": 2 + }, + { + "name": "Barclays", + "slug": "barclays", + "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": 4 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "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": "General Motors", + "slug": "general-motors", + "frequency": 8 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "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": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + } + ] + }, + { + "id": 66, + "title": "Rotate List", + "slug": "rotate-list", + "pattern": [ + "In-place reversal of a linked list" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 8 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 7 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "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": 10 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "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": "Amazon", + "slug": "amazon", + "frequency": 14 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "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": 11 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 3 + }, + { + "name": "MathWorks", + "slug": "mathworks", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Cadence", + "slug": "cadence", + "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": 23 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 22 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 9 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 8 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "Rippling", + "slug": "rippling", + "frequency": 3 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "josh technology", + "slug": "josh-technology", + "frequency": 2 + }, + { + "name": "Squarespace", + "slug": "squarespace", + "frequency": 2 + }, + { + "name": "Hubspot", + "slug": "hubspot", + "frequency": 2 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 2 + }, + { + "name": "TikTok", + "slug": "tiktok", + "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": 14 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 10 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "PhonePe", + "slug": "phonepe", + "frequency": 3 + }, + { + "name": "Apple", + "slug": "apple", + "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": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 73, + "title": "Merge k Sorted Lists", + "slug": "merge-k-sorted-lists", + "pattern": [ + "Heap" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 24 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 16 + }, + { + "name": "Google", + "slug": "google", + "frequency": 10 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 6 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 6 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 6 + }, + { + "name": "Rippling", + "slug": "rippling", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 4 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 4 + }, + { + "name": "Deloitte", + "slug": "deloitte", + "frequency": 3 + }, + { + "name": "Salesforce", + "slug": "salesforce", + "frequency": 3 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 3 + }, + { + "name": "Palantir Technologies", + "slug": "palantir-technologies", + "frequency": 2 + }, + { + "name": "Cloudflare", + "slug": "cloudflare", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + } + ] + }, + { + "id": 74, + "title": "Smallest Range Covering Elements from K Lists", + "slug": "smallest-range-covering-elements-from-k-lists", + "pattern": [ + "Heap" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + } + ] + }, + { + "id": 75, + "title": "Meeting Rooms", + "slug": "meeting-rooms", + "pattern": [ + "Intervals" + ], + "difficulty": "Easy", + "premium": true, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + } + ] + }, + { + "id": 76, + "title": "Merge Intervals", + "slug": "merge-intervals", + "pattern": [ + "Intervals" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 65 + }, + { + "name": "Google", + "slug": "google", + "frequency": 31 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 28 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 23 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 23 + }, + { + "name": "Atlassian", + "slug": "atlassian", + "frequency": 14 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 12 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 11 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 9 + }, + { + "name": "Hubspot", + "slug": "hubspot", + "frequency": 9 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 7 + }, + { + "name": "Grammarly", + "slug": "grammarly", + "frequency": 7 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 5 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 5 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 5 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 5 + }, + { + "name": "IXL", + "slug": "ixl", + "frequency": 4 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 4 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 4 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 3 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "Tesla", + "slug": "tesla", + "frequency": 3 + }, + { + "name": "Palantir Technologies", + "slug": "palantir-technologies", + "frequency": 3 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 3 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 3 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 2 + }, + { + "name": "Twitch", + "slug": "twitch", + "frequency": 2 + }, + { + "name": "Grubhub", + "slug": "grubhub", + "frequency": 2 + }, + { + "name": "Patreon", + "slug": "patreon", + "frequency": 2 + }, + { + "name": "Okta", + "slug": "okta", + "frequency": 2 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 2 + }, + { + "name": "Wipro", + "slug": "wipro", + "frequency": 2 + }, + { + "name": "Zeta", + "slug": "zeta", + "frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "Intuit", + "slug": "intuit", + "frequency": 2 + }, + { + "name": "Snap", + "slug": "snapchat", + "frequency": 2 + }, + { + "name": "eBay", + "slug": "ebay", + "frequency": 2 + }, + { + "name": "Nvidia", + "slug": "nvidia", + "frequency": 2 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 2 + }, + { + "name": "J.P. Morgan", + "slug": "jpmorgan", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "Ozon", + "slug": "ozon", + "frequency": 2 + }, + { + "name": "Turing", + "slug": "turing", + "frequency": 2 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 2 + }, + { + "name": "Moveworks", + "slug": "moveworks", + "frequency": 2 + }, + { + "name": "Squarespace", + "slug": "squarespace", + "frequency": 2 + }, + { + "name": "Ripple", + "slug": "ripple", + "frequency": 2 + } + ] + }, + { + "id": 77, + "title": "Interval List Intersections", + "slug": "interval-list-intersections", + "pattern": [ + "Intervals" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 25 + }, + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Verkada", + "slug": "verkada", + "frequency": 2 + }, + { + "name": "Nuro", + "slug": "nuro", + "frequency": 2 + } + ] + }, + { + "id": 78, + "title": "Non-overlapping Intervals", + "slug": "non-overlapping-intervals", + "pattern": [ + "Intervals" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Verkada", + "slug": "verkada", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + } + ] + }, + { + "id": 79, + "title": "Meeting Rooms II", + "slug": "meeting-rooms-ii", + "pattern": [ + "Heap", + "Intervals" + ], + "difficulty": "Medium", + "premium": true, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 35 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 13 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 9 + }, + { + "name": "J.P. Morgan", + "slug": "jpmorgan", + "frequency": 9 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 7 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 7 + }, + { + "name": "Atlassian", + "slug": "atlassian", + "frequency": 7 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 7 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 5 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 5 + }, + { + "name": "Snap", + "slug": "snapchat", + "frequency": 4 + }, + { + "name": "Citadel", + "slug": "citadel", + "frequency": 3 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 3 + }, + { + "name": "WorldQuant", + "slug": "worldquant", + "frequency": 3 + }, + { + "name": "IBM", + "slug": "ibm", + "frequency": 2 + }, + { + "name": "Anduril", + "slug": "anduril", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + }, + { + "name": "Netflix", + "slug": "netflix", + "frequency": 2 + }, + { + "name": "Hubspot", + "slug": "hubspot", + "frequency": 2 + }, + { + "name": "Lime", + "slug": "lime", + "frequency": 2 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 2 + } + ] + }, + { + "id": 80, + "title": "Task Scheduler", + "slug": "task-scheduler", + "pattern": [ + "Greedy", + "Heap" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Roblox", + "slug": "roblox", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 4 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 4 + }, + { + "name": "Snowflake", + "slug": "snowflake", + "frequency": 4 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 3 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Zeta", + "slug": "zeta", + "frequency": 2 + }, + { + "name": "MathWorks", + "slug": "mathworks", + "frequency": 2 + }, + { + "name": "Docusign", + "slug": "docusign", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Rubrik", + "slug": "rubrik", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + } + ] + }, + { + "id": 81, + "title": "Minimum Number of Arrows to Burst Balloons", + "slug": "minimum-number-of-arrows-to-burst-balloons", + "pattern": [ + "Greedy" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 3 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + } + ] + }, + { + "id": 82, + "title": "Insert Interval", + "slug": "insert-interval", + "pattern": [ + "Intervals" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 11 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "PhonePe", + "slug": "phonepe", + "frequency": 2 + } + ] + }, + { + "id": 83, + "title": "Employee Free Time", + "slug": "employee-free-time", + "pattern": [ + "Heap", + "Greedy" + ], + "difficulty": "Hard", + "premium": true, + "companies": [ + { + "name": "Citadel", + "slug": "citadel", + "frequency": 5 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + } + ] + }, + { + "id": 84, + "title": "Binary Search", + "slug": "binary-search", + "pattern": [ + "Binary Search" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 16 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Pure Storage", + "slug": "pure-storage", + "frequency": 2 + } + ] + }, + { + "id": 85, + "title": "Find Smallest Letter Greater Than Target", + "slug": "find-smallest-letter-greater-than-target", + "pattern": [ + "Binary Search" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 5 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + } + ] + }, + { + "id": 86, + "title": "Peak Index in a Mountain Array", + "slug": "peak-index-in-a-mountain-array", + "pattern": [ + "Binary Search" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 10 + }, + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 5 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 87, + "title": "Find Minimum in Rotated Sorted Array", + "slug": "find-minimum-in-rotated-sorted-array", + "pattern": [ + "Binary Search" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 6 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 3 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + } + ] + }, + { + "id": 88, + "title": "Find Peak Element", + "slug": "find-peak-element", + "pattern": [ + "Binary Search" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 38 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 20 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 8 + }, + { + "name": "Google", + "slug": "google", + "frequency": 7 + }, + { + "name": "IXL", + "slug": "ixl", + "frequency": 3 + }, + { + "name": "Goldman 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"slug": "oracle", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Nutanix", + "slug": "nutanix", + "frequency": 2 + } + ] + }, + { + "id": 92, + "title": "Search a 2D Matrix II", + "slug": "search-a-2d-matrix-ii", + "pattern": [ + "Binary Search" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Google", + "slug": "google", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Motive", + "slug": "keeptruckin", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + } + ] + }, + { + "id": 93, + "title": "Find K Closest Elements", + "slug": "find-k-closest-elements", + "pattern": [ + "Binary Search" + ], + "difficulty": 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"title": "Minimum Size Subarray Sum", + "slug": "minimum-size-subarray-sum", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "DoorDash", + "slug": "doordash", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Google", + "slug": "google", + "frequency": 3 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + } + ] + }, + { + "id": 96, + "title": "Fruit Into Baskets", + "slug": "fruit-into-baskets", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 11 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 11 + }, + { + "name": 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"frequency": 2 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + } + ] + }, + { + "id": 98, + "title": "Longest Repeating Character Replacement", + "slug": "longest-repeating-character-replacement", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 13 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 9 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "ServiceNow", + "slug": "servicenow", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 2 + }, + { + "name": "ByteDance", + "slug": "bytedance", + "frequency": 2 + }, + { + "name": "UiPath", + "slug": "uipath", + "frequency": 2 + } + ] + }, + { + "id": 99, + "title": "Sliding Window Maximum", + "slug": "sliding-window-maximum", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 16 + }, + { + "name": "Google", + "slug": "google", + "frequency": 15 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 7 + }, + { + "name": "J.P. 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"slug": "dp-world", + "frequency": 2 + }, + { + "name": "AT&T", + "slug": "at-t", + "frequency": 2 + }, + { + "name": "HashedIn", + "slug": "hashedin", + "frequency": 2 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 2 + }, + { + "name": "Coupang", + "slug": "coupang", + "frequency": 2 + }, + { + "name": "Morgan Stanley", + "slug": "morgan-stanley", + "frequency": 2 + }, + { + "name": "Paytm", + "slug": "paytm", + "frequency": 2 + }, + { + "name": "persistent systems", + "slug": "persistent-systems", + "frequency": 2 + }, + { + "name": "Virtusa", + "slug": "virtusa", + "frequency": 2 + }, + { + "name": "MAQ Software", + "slug": "maq-software", + "frequency": 2 + }, + { + "name": "Comcast", + "slug": "comcast", + "frequency": 2 + }, + { + "name": "Freecharge", + "slug": "freecharge", + "frequency": 2 + }, + { + "name": "Ozon", + "slug": "ozon", + "frequency": 2 + }, + { + "name": "Zomato", + "slug": "zomato", + "frequency": 2 + } + ] + }, + { + "id": 101, + "title": 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"name": "Meta", + "slug": "facebook", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + } + ] + }, + { + "id": 106, + "title": "K Closest Points to Origin", + "slug": "k-closest-points-to-origin", + "pattern": [ + "Heap" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 35 + }, + { + "name": "Asana", + "slug": "asana", + "frequency": 8 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Google", + "slug": "google", + "frequency": 2 + }, + { + "name": "LinkedIn", + "slug": "linkedin", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + } + ] + }, + { + "id": 107, + "title": "Top K Frequent Elements", + "slug": "top-k-frequent-elements", + "pattern": [ + "Heap" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Meta", + "slug": "facebook", + "frequency": 60 + }, + { + "name": "Google", + "slug": "google", + "frequency": 28 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 21 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 8 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 6 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 4 + }, + { + "name": "Yahoo", + "slug": "yahoo", + "frequency": 3 + }, + { + "name": "Adobe", + "slug": "adobe", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "Salesforce", + "slug": "salesforce", + 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"slug": "prefix-and-suffix-search", + "pattern": [ + "Trie" + ], + "difficulty": "Hard", + "premium": false, + "companies": [] + }, + { + "id": 161, + "title": "Palindrome Pairs", + "slug": "palindrome-pairs", + "pattern": [ + "Trie" + ], + "difficulty": "Hard", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 3 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Airbnb", + "slug": "airbnb", + "frequency": 2 + } + ] + }, + { + "id": 162, + "title": "Design Search Autocomplete System", + "slug": "design-search-autocomplete-system", + "pattern": [ + "Trie" + ], + "difficulty": "Hard", + "premium": true, + "companies": [ + { + "name": "Roblox", + "slug": "roblox", + "frequency": 7 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 5 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Pinterest", + "slug": "pinterest", + "frequency": 3 + }, + { + "name": "Cisco", + "slug": "cisco", + "frequency": 2 + }, + { + "name": "MongoDB", + "slug": "mongodb", + "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": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + } + ] + }, + { + "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": "amazon", + "frequency": 22 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 18 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 13 + }, + { + "name": "Rippling", + "slug": "rippling", + "frequency": 12 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 11 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 10 + }, + { + "name": "Walmart Labs", + "slug": "walmart-labs", + "frequency": 3 + }, + { + "name": "Cognizant", + "slug": "cognizant", + "frequency": 3 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Autodesk", + "slug": "autodesk", + "frequency": 2 + } + ] + }, + { + "id": 166, + "title": "Majority Element", + "slug": "majority-element", + "pattern": [ + "Sorting" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 22 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 18 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 17 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 12 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 8 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 3 + }, + { + "name": "tcs", + "slug": "tcs", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "Qualcomm", + "slug": "qualcomm", + "frequency": 2 + }, + { + "name": "Autodesk", + "slug": "autodesk", + "frequency": 2 + } + ] + }, + { + "id": 167, + "title": "Convert 1D Array Into 2D Array", + "slug": "convert-1d-array-into-2d-array", + "pattern": [ + "Arrays" + ], + "difficulty": "Easy", + "premium": false, + "companies": [] + }, + { + "id": 168, + "title": "Move Zeroes", + "slug": "move-zeroes", + "pattern": [ + "Arrays", + "Two Pointers" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 12 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 8 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 7 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 6 + }, + { + "name": "Apple", + "slug": "apple", + "frequency": 4 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 4 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 3 + }, + { + "name": "TikTok", + "slug": "tiktok", + "frequency": 2 + }, + { + "name": "Capgemini", + "slug": "capgemini", + "frequency": 2 + }, + { + "name": "EPAM Systems", + "slug": "epam-systems", + "frequency": 2 + }, + { + "name": "SAP", + "slug": "sap", + "frequency": 2 + }, + { + "name": "Uber", + "slug": "uber", + "frequency": 2 + }, + { + "name": "PayPal", + "slug": "paypal", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + }, + { + "name": "Accenture", + "slug": "accenture", + "frequency": 2 + }, + { + "name": "NetApp", + "slug": "netapp", + "frequency": 2 + } + ] + }, + { + "id": 169, + "title": "Is Subsequence", + "slug": "is-subsequence", + "pattern": [ + "Two Pointers" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Amazon", + "slug": "amazon", + "frequency": 7 + }, + { + "name": "Google", + "slug": "google", + "frequency": 6 + }, + { + "name": "Yandex", + "slug": "yandex", + "frequency": 4 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 3 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 3 + }, + { + "name": "Tinkoff", + "slug": "tinkoff", + "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": 4 + }, + { + "name": "Capital One", + "slug": "capital-one", + "frequency": 3 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 2 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "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": [] + }, + { + "id": 173, + "title": "Maximum Average Subarray I", + "slug": "maximum-average-subarray-i", + "pattern": [ + "Sliding Window" + ], + "difficulty": "Easy", + "premium": false, + "companies": [ + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 4 + }, + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 2 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 2 + }, + { + "name": "Goldman Sachs", + "slug": "goldman-sachs", + "frequency": 2 + } + ] + }, + { + "id": 174, + "title": "Gas Station", + "slug": "gas-station", + "pattern": [ + "Greedy" + ], + "difficulty": "Medium", + "premium": false, + "companies": [ + { + "name": "Microsoft", + "slug": "microsoft", + "frequency": 6 + }, + { + "name": "Amazon", + "slug": "amazon", + "frequency": 6 + }, + { + "name": "Google", + "slug": "google", + "frequency": 5 + }, + { + "name": "Infosys", + "slug": "infosys", + "frequency": 5 + }, + { + "name": "Meta", + "slug": "facebook", + "frequency": 4 + }, + { + "name": "Flipkart", + "slug": "flipkart", + "frequency": 4 + }, + { + "name": "BitGo", + "slug": "bitgo", + "frequency": 3 + }, + { + "name": "Bloomberg", + "slug": "bloomberg", + "frequency": 2 + }, + { + "name": "Oracle", + "slug": "oracle", + "frequency": 2 + }, + { + "name": "Accolite", + "slug": "accolite", + "frequency": 2 + }, + { + "name": "PhonePe", + "slug": "phonepe", + "frequency": 2 + }, + { + "name": "Zoho", + "slug": "zoho", + "frequency": 2 + }, + { + "name": "Visa", + "slug": "visa", + "frequency": 2 + } + ] + } + ] +} \ No newline at end of file diff --git a/src/index.js b/src/index.js new file mode 100644 index 00000000..14d7c8a0 --- /dev/null +++ b/src/index.js @@ -0,0 +1,8 @@ +import React from 'react'; +import { createRoot } from 'react-dom/client'; + +import App from './components/App'; +import 'bootstrap/dist/css/bootstrap.min.css'; + +const root = createRoot(document.getElementById('root')); +root.render();