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418 lines
46 KiB
ReStructuredText
418 lines
46 KiB
ReStructuredText
.. _codingcontracts:
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Coding Contracts
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================
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Coding Contracts are a mechanic that lets players earn rewards in
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exchange for solving programming problems.
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Coding Contracts are files with the ".cct" extensions. They can
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be accessed through the :ref:`terminal` or through scripts using
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the `Coding Contract API <https://github.com/bitburner-official/bitburner-src/blob/dev/markdown/bitburner.codingcontract.md>`_
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Each contract has a limited number of attempts. If you
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provide the wrong answer too many times and exceed the
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number of attempts, the contract will self destruct (delete itself)
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Currently, Coding Contracts are randomly generated and
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spawned over time. They can appear on any server (including your
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home computer), except for your purchased servers.
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Running in Terminal
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^^^^^^^^^^^^^^^^^^^
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To run a Coding Contract in the Terminal, simply use the
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:ref:`run_terminal_command` command::
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$ run some-contract.cct
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Doing this will bring up a popup. The popup will display
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the contract's problem, the number of attempts remaining, and
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an area to provide an answer.
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Interacting through Scripts
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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See the `Coding Contract API <https://github.com/bitburner-official/bitburner-src/blob/dev/markdown/bitburner.codingcontract.md>`_.
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Interacting with Coding Contracts via the Terminal can be tedious the more
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contracts you solve. Consider using the API to automate various aspects of
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your solution. For example, some contracts have long solutions while others
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have even longer solutions. You might want to use the API to automate the
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process of submitting your solution rather than copy and paste a long
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solution into an answer box.
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However, using the API comes at a cost. Like most functions in other APIs,
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each function in the Coding Contract API has a RAM cost. Depending on which
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function you use, the initial RAM on your home server might not be enough
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to allow you to use various API functions. Plan on upgrading the RAM on your
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home server if you want to use the Coding Contract API.
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Submitting Solutions
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^^^^^^^^^^^^^^^^^^^^
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Different contract problem types will require different types of
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solutions. Some may be numbers, others may be strings or arrays.
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If a contract asks for a specific solution format, then
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use that. Otherwise, follow these rules when submitting solutions:
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* String-type solutions should **not** have quotation marks surrounding
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the string (unless specifically asked for). Only quotation
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marks that are part of the actual string solution should be included.
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* Array-type solutions should be submitted with each element
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in the array separated by commas. Brackets are optional. For example,
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both of the following are valid solution formats::
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1,2,3
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[1,2,3]
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However, if the solution is a multidimensional array, then
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all arrays that are not the outer-most array DO require the brackets.
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For example, an array of arrays can be submitted as one of the following::
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[1,2],[3,4]
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[[1,2],[3,4]]
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* Numeric solutions should be submitted normally, as expected
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Rewards
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^^^^^^^
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There are currently four possible rewards for solving a Coding Contract:
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* Faction Reputation for a specific Faction
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* Faction Reputation for all Factions that you are a member of
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* Company reputation for a specific Company
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* Money
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The 'amount' of reward varies based on the difficulty of the problem
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posed by the Coding Contract. There is no way to know what a
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Coding Contract's exact reward will be until it is solved.
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Notes
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^^^^^
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* The *scp* Terminal command does not work on Coding Contracts
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List of all Problem Types
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^^^^^^^^^^^^^^^^^^^^^^^^^
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The following is a list of all of the problem types that a Coding Contract can contain.
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The list contains the name of (i.e. the value returned by
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:js:func:`getContractType`) and a brief summary of the problem it poses.
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Name | Problem Summary |
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+=========================================+==========================================================================================+
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| Find Largest Prime Factor | | Given a number, find its largest prime factor. A prime factor |
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| | | is a factor that is a prime number. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Subarray with Maximum Sum | | Given an array of integers, find the contiguous subarray (containing |
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| | | at least one number) which has the largest sum and return that sum. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Total Ways to Sum | | Given a number, how many different distinct ways can that number be written as |
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| | | a sum of at least two positive integers? |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Total Ways to Sum II | | You are given an array with two elements. The first element is an integer n. |
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| | | The second element is an array of numbers representing the set of available integers. |
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| | | How many different distinct ways can that number n be written as |
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| | | a sum of integers contained in the given set? |
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| | | You may use each integer in the set zero or more times. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Spiralize Matrix | | Given an array of array of numbers representing a 2D matrix, return the |
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| | | elements of that matrix in clockwise spiral order. |
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| | | Example: The spiral order of |
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| | | [1, 2, 3, 4] |
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| | | [5, 6, 7, 8] |
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| | | [9, 10, 11, 12] |
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| | | |
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| | | is [1, 2, 3, 4, 8, 12, 11, 10, 9, 5, 6, 7] |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Array Jumping Game | | You are given an array of integers where each element represents the |
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| | | maximum possible jump distance from that position. For example, if you |
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| | | are at position i and your maximum jump length is n, then you can jump |
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| | | to any position from i to i+n. |
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| | | Assuming you are initially positioned at the start of the array, determine |
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| | | whether you are able to reach the last index of the array. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Array Jumping Game II | | You are given an array of integers where each element represents the |
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| | | maximum possible jump distance from that position. For example, if you |
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| | | are at position i and your maximum jump length is n, then you can jump |
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| | | to any position from i to i+n. |
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| | | Assuming you are initially positioned at the start of the array, determine |
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| | | the minimum number of jumps to reach the end of the array. |
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| | | If it's impossible to reach the end, then the answer should be 0. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Merge Overlapping Intervals | | Given an array of intervals, merge all overlapping intervals. An interval |
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| | | is an array with two numbers, where the first number is always less than |
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| | | the second (e.g. [1, 5]). |
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| | | The intervals must be returned in ASCENDING order. |
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| | | Example: |
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| | | [[1, 3], [8, 10], [2, 6], [10, 16]] |
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| | | merges into [[1, 6], [8, 16]] |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Generate IP Addresses | | Given a string containing only digits, return an array with all possible |
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| | | valid IP address combinations that can be created from the string. |
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| | | An octet in the IP address cannot begin with '0' unless the number itself |
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| | | is actually 0. For example, "192.168.010.1" is NOT a valid IP. |
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| | | Examples: |
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| | | 25525511135 -> [255.255.11.135, 255.255.111.35] |
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| | | 1938718066 -> [193.87.180.66] |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Algorithmic Stock Trader I | | You are given an array of numbers representing stock prices, where the |
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| | | i-th element represents the stock price on day i. |
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| | | Determine the maximum possible profit you can earn using at most one |
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| | | transaction (i.e. you can buy an sell the stock once). If no profit |
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| | | can be made, then the answer should be 0. Note that you must buy the stock |
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| | | before you can sell it. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Algorithmic Stock Trader II | | You are given an array of numbers representing stock prices, where the |
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| | | i-th element represents the stock price on day i. |
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| | | Determine the maximum possible profit you can earn using as many transactions |
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| | | as you'd like. A transaction is defined as buying and then selling one |
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| | | share of the stock. Note that you cannot engage in multiple transactions at |
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| | | once. In other words, you must sell the stock before you buy it again. If no |
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| | | profit can be made, then the answer should be 0. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Algorithmic Stock Trader III | | You are given an array of numbers representing stock prices, where the |
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| | | i-th element represents the stock price on day i. |
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| | | Determine the maximum possible profit you can earn using at most two |
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| | | transactions. A transaction is defined as buying and then selling one share |
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| | | of the stock. Note that you cannot engage in multiple transactions at once. |
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| | | In other words, you must sell the stock before you buy it again. If no profit |
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| | | can be made, then the answer should be 0. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Algorithmic Stock Trader IV | | You are given an array with two elements. The first element is an integer k. |
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| | | The second element is an array of numbers representing stock prices, where the |
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| | | i-th element represents the stock price on day i. |
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| | | Determine the maximum possible profit you can earn using at most k transactions. |
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| | | A transaction is defined as buying and then selling one share of the stock. |
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| | | Note that you cannot engage in multiple transactions at once. In other words, |
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| | | you must sell the stock before you can buy it. If no profit can be made, then |
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| | | the answer should be 0. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Minimum Path Sum in a Triangle | | You are given a 2D array of numbers (array of array of numbers) that represents a |
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| | | triangle (the first array has one element, and each array has one more element than |
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| | | the one before it, forming a triangle). Find the minimum path sum from the top to the |
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| | | bottom of the triangle. In each step of the path, you may only move to adjacent |
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| | | numbers in the row below. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Unique Paths in a Grid I | | You are given an array with two numbers: [m, n]. These numbers represent a |
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| | | m x n grid. Assume you are initially positioned in the top-left corner of that |
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| | | grid and that you are trying to reach the bottom-right corner. On each step, |
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| | | you may only move down or to the right. |
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| | | Determine how many unique paths there are from start to finish. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Unique Paths in a Grid II | | You are given a 2D array of numbers (array of array of numbers) representing |
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| | | a grid. The 2D array contains 1's and 0's, where 1 represents an obstacle and |
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| | | 0 represents a free space. |
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| | | Assume you are initially positioned in top-left corner of that grid and that you |
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| | | are trying to reach the bottom-right corner. In each step, you may only move down |
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| | | or to the right. Furthermore, you cannot move onto spaces which have obstacles. |
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| | | Determine how many unique paths there are from start to finish. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Shortest Path in a Grid | | You are given a 2D array of numbers (array of array of numbers) representing |
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| | | a grid. The 2D array contains 1's and 0's, where 1 represents an obstacle and |
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| | | 0 represents a free space. |
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| | | Assume you are initially positioned in top-left corner of that grid and that you |
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| | | are trying to reach the bottom-right corner. In each step, you may move to the up, |
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| | | down, left or right. Furthermore, you cannot move onto spaces which have obstacles. |
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| | | Determine if paths exist from start to destination, and find the shortest one. |
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| | | Examples: |
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| | | [[0,1,0,0,0], |
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| | | [0,0,0,1,0]] -> "DRRURRD" |
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| | | [[0,1], |
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| | | [1,0]] -> "" |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Sanitize Parentheses in Expression | | Given a string with parentheses and letters, remove the minimum number of invalid |
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| | | parentheses in order to validate the string. If there are multiple minimal ways |
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| | | to validate the string, provide all of the possible results. |
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| | | The answer should be provided as an array of strings. If it is impossible to validate |
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| | | the string, the result should be an array with only an empty string. |
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| | | Examples: |
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| | | ()())() -> [()()(), (())()] |
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| | | (a)())() -> [(a)()(), (a())()] |
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| | | )( -> [""] |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Find All Valid Math Expressions | | You are given a string which contains only digits between 0 and 9 as well as a target |
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| | | number. Return all possible ways you can add the +, -, and * operators to the string |
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| | | of digits such that it evaluates to the target number. |
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| | | The answer should be provided as an array of strings containing the valid expressions. |
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| | | NOTE: Numbers in an expression cannot have leading 0's |
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| | | NOTE: The order of evaluation expects script operator precedence |
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| | | Examples: |
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| | | Input: digits = "123", target = 6 |
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| | | Output: [1+2+3, 1*2*3] |
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| | | Input: digits = "105", target = 5 |
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| | | Output: [1*0+5, 10-5] |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| HammingCodes: Integer to Encoded Binary | | You are given a decimal value. |
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| | | Convert it into a binary string and encode it as a 'Hamming-Code'. eg: |
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| | | Value 8 will result into binary '1000', which will be encoded |
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| | | with the pattern 'pppdpddd', where p is a paritybit and d a databit. The encoding of |
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| | | 8 is 11110000. As another example, '10101' (Value 21) will result into (pppdpdddpd) |
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| | | '1001101011'. |
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| | | NOTE: You need an parity Bit on Index 0 as an 'overall'-paritybit. |
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| | | NOTE 2: You should watch the HammingCode-video from 3Blue1Brown, which |
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| | | explains the 'rule' of encoding, |
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| | | including the first Index parity-bit mentioned on the first note. |
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| | | Now the only one rule for this encoding: |
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| | | It's not allowed to add additional leading '0's to the binary value |
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| | | That means, the binary value has to be encoded as it is |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| HammingCodes: Encoded Binary to Integer | | You are given an encoded binary string. |
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| | | Treat it as a Hammingcode with 1 'possible' error on an random Index. |
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| | | Find the 'possible' wrong bit, fix it and extract the decimal value, which is |
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| | | hidden inside the string.\n\n", |
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| | | Note: The length of the binary string is dynamic, but its encoding/decoding is |
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| | | following Hammings 'rule'\n", |
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| | | Note 2: Index 0 is an 'overall' parity bit. Watch the Hammingcode-video from |
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| | | 3Blue1Brown for more information\n", |
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| | | Note 3: There's a ~55% chance for an altered Bit. So... MAYBE |
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| | | there is an altered Bit 😉\n", |
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| | | Extranote for automation: return the decimal value as a string", |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Proper 2-Coloring of a Graph | | You are given data, representing a graph. Note that "graph", as used here, refers to |
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| | | the field of graph theory, and has no relation to statistics or plotting. |
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| | | The first element of the data represents the number of vertices in the graph. Each |
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| | | vertex is a unique number between 0 and ${data[0] - 1}. The next element of the data |
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| | | represents the edges of the graph. |
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| | | Two vertices u,v in a graph are said to be adjacent if there exists an edge [u,v]. |
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| | | Note that an edge [u,v] is the same as an edge [v,u], as order does not matter. |
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| | | You must construct a 2-coloring of the graph, meaning that you have to assign each |
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| | | vertex in the graph a "color", either 0 or 1, such that no two adjacent vertices have |
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| | | the same color. Submit your answer in the form of an array, where element i |
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| | | represents the color of vertex i. If it is impossible to construct a 2-coloring of |
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| | | the given graph, instead submit an empty array. |
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| | | Examples: |
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| | | Input: [4, [[0, 2], [0, 3], [1, 2], [1, 3]]] |
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| | | Output: [0, 0, 1, 1] |
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| | | Input: [3, [[0, 1], [0, 2], [1, 2]]] |
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| | | Output: [] |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Compression I: RLE Compression | | Run-length encoding (RLE) is a data compression technique which encodes data as a |
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| | | series of runs of a repeated single character. Runs are encoded as a length, followed |
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| | | by the character itself. Lengths are encoded as a single ASCII digit; runs of 10 |
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| | | characters or more are encoded by splitting them into multiple runs. |
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| | | You are given a string as input. Encode it using run-length encoding with the minimum |
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| | | possible output length. |
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| | | Examples: |
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| | | aaaaabccc -> 5a1b3c |
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| | | aAaAaA -> 1a1A1a1A1a1A |
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| | | 111112333 -> 511233 |
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| | | zzzzzzzzzzzzzzzzzzz -> 9z9z1z (or 9z8z2z, etc.) |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Compression II: LZ Decompression | | Lempel-Ziv (LZ) compression is a data compression technique which encodes data using |
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| | | references to earlier parts of the data. In this variant of LZ, data is encoded in two |
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| | | types of chunk. Each chunk begins with a length L, encoded as a single ASCII digit |
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| | | from 1 - 9, followed by the chunk data, which is either: |
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| | | 1. Exactly L characters, which are to be copied directly into the uncompressed data. |
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| | | 2. A reference to an earlier part of the uncompressed data. To do this, the length |
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| | | is followed by a second ASCII digit X: each of the L output characters is a copy |
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| | | of the character X places before it in the uncompressed data. |
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| | | For both chunk types, a length of 0 instead means the chunk ends immediately, and the |
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| | | next character is the start of a new chunk. The two chunk types alternate, starting |
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| | | with type 1, and the final chunk may be of either type. |
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| | | You are given an LZ-encoded string. Decode it and output the original string. |
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| | | Example: decoding '5aaabb450723abb' chunk-by-chunk |
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| | | 5aaabb -> aaabb |
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| | | 5aaabb45 -> aaabbaaab |
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| | | 5aaabb450 -> aaabbaaab |
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| | | 5aaabb45072 -> aaabbaaababababa |
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| | | 5aaabb450723abb -> aaabbaaababababaabb |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Compression III: LZ Compression | | Lempel-Ziv (LZ) compression is a data compression technique which encodes data using |
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| | | references to earlier parts of the data. In this variant of LZ, data is encoded in two |
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| | | types of chunk. Each chunk begins with a length L, encoded as a single ASCII digit |
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| | | from 1 - 9, followed by the chunk data, which is either: |
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| | | |
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| | | 1. Exactly L characters, which are to be copied directly into the uncompressed data. |
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| | | 2. A reference to an earlier part of the uncompressed data. To do this, the length |
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| | | is followed by a second ASCII digit X: each of the L output characters is a copy |
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| | | of the character X places before it in the uncompressed data. |
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| | | For both chunk types, a length of 0 instead means the chunk ends immediately, and the |
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| | | next character is the start of a new chunk. The two chunk types alternate, starting |
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| | | with type 1, and the final chunk may be of either type. |
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| | | You are given a string as input. Encode it using Lempel-Ziv encoding with the minimum |
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| | | possible output length. |
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| | | Examples (some have other possible encodings of minimal length): |
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| | | abracadabra -> 7abracad47 |
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| | | mississippi -> 4miss433ppi |
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| | | aAAaAAaAaAA -> 3aAA53035 |
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| | | 2718281828 -> 627182844 |
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| | | abcdefghijk -> 9abcdefghi02jk |
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| | | aaaaaaaaaaaa -> 3aaa91 |
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| | | aaaaaaaaaaaaa -> 1a91031 |
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| | | aaaaaaaaaaaaaa -> 1a91041 |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Encryption I: Caesar Cipher | | Caesar cipher is one of the simplest encryption technique. It is a type of |
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| | | substitution cipher in which each letter in the plaintext is replaced by a letter some |
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| | | fixed number of positions down the alphabet. For example, with a left shift of 3, D |
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| | | would be replaced by A, E would become B, and A would become X (because of rotation). |
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| | | You are given an array with two elements. The first element is the plaintext, the |
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| | | second element is the left shift value. Return the ciphertext as uppercase string. |
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| | | Spaces remains the same. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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| Encryption II: Vigenère Cipher | | Vigenère cipher is a type of polyalphabetic substitution. It uses the Vigenère square |
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| | | to encrypt and decrypt plaintext with a keyword. |
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| | | Vignenère square: |
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| | | A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
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| | | +---------------------------------------------------- |
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| | | A | A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
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| | | B | B C D E F G H I J K L M N O P Q R S T U V W X Y Z A |
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| | | C | C D E F G H I J K L M N O P Q R S T U V W X Y Z A B |
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| | | D | D E F G H I J K L M N O P Q R S T U V W X Y Z A B C |
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| | | E | E F G H I J K L M N O P Q R S T U V W X Y Z A B C D |
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| | | ... |
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| | | Y | Y Z A B C D E F G H I J K L M N O P Q R S T U V W X |
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| | | Z | Z A B C D E F G H I J K L M N O P Q R S T U V W X Y |
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| | | For encryption each letter of the plaintext is paired with the corresponding letter of |
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| | | a repeating keyword. For example, the plaintext DASHBOARD is encrypted with the |
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| | | keyword LINUX: |
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| | | Plaintext: DASHBOARD |
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| | | Keyword: LINUXLINU |
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| | | So, the first letter D is paired with the first letter of the key L. Therefore, row D |
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| | | and column L of the Vigenère square are used to get the first cipher letter O. This |
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| | | must be repeated for the whole ciphertext. |
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| | | You are given an array with two elements. The first element is the plaintext, the |
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| | | second element is the keyword. Return the ciphertext as uppercase string. |
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+-----------------------------------------+------------------------------------------------------------------------------------------+
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