In this question we will find all Lyndon words using an array of alphanumeric characters.
Before we begin, let us first understand the definition of the word Lyndon.
All words are Lyndon words, strictly lexicographically smaller than all their cycles.
The following are examples of Lyndon words.
ab - "ab" is strictly lexicographically smaller than all its permutations "ba".
89 - The rotation of ‘89’ is ‘98’, which is strictly lexicographically greater than ‘89’.
abc - The rotations of 'abc' are 'bca' and 'cab', which are strictly larger than 'abc'.
The following are examples of non-Lyndon words.
aaa - aaa is a non-Linden word because all rotations of "aaa" are the same.
bca - 'bca' is a non-Linden word because 'abc' has a smaller rotation than it,
Problem Statement- We are given a character array of length K containing alphanumeric characters. Additionally, we are given n containing positive integers. The task is that we need to find all the Lyndon words of length n using the alphanumeric characters given in the array.
Example
enter
chars = ['1', '3', '2'], n = 3
Output
112, 113, 122, 123, 132, 133, 223, 233
Explanation- It generates all Lydon words of length 3 using array characters.
enter
n = 2, chars = ['1', '0']
Output
01
Explanation - "01" is the only Lyndon word we can use 0 and 1 to form.
enter
n = 2, chars = ['c', 'a', 'd']
Output
ac, ad, cd
Explanation- It generates Lyndon words of length 2 using a, c and d characters.
method 1
We have a special algorithm to generate Linden words, called Duval's algorithm.
algorithm
Step 1 - Define the "n" value that represents the length of the Lyndon word and the chars array containing the characters to be used when creating the Lyndon word.
Step 2- Sort the list.
Step 3 − Initialize the "index" list with −1.
Step 4- Iterate until the index list is not empty.
Step 5 - Increase the last element of the "index" list by 1.
Step 6− If list_size is equal to n, print the list value.
Step 7 - Append the index to the list so that its length is equal to n.
Step 8 - If the last element of the list is equal to the last index of the array, remove it from the list.
Example
Let's understand the example with example input.
The sorted list will be ['a', 'c', 'd'].
The index list will be updated from [−1] to [0] on the first iteration. After that, the length of the index is equal to 2 and becomes [0, 0].
On the second iteration, the list is updated to [0, 1] and we find the first Lyndon word "ac".
On the third iteration the list will become [0, 2] and the second Lyndon word is "ad". Also, the last element is removed from the list because it is equal to array_len -1.
On the fourth iteration, the list will become [1]. [1, 1] will be updated later.
On the next iteration the list becomes [1, 2], and we find the third Lyndon wor, ''cd'.
# Input n = 2 chars = ['c', 'a', 'd'] # sort the list initial_size = len(chars) chars.sort() # Initializing the list indexes = [-1] print("The Lyndon words of length {} is".format(n)) # Making iterations while indexes: # Add 1 to the last element of the list indexes[-1] += 1 list_size = len(indexes) # If the list contains n characters, it means we found a Lyndon word if list_size == n: print(''.join(chars[p] for p in indexes)) # Make the list size equal to n by adding characters while len(indexes) < n: indexes.append(indexes[-list_size]) while indexes and indexes[-1] == initial_size - 1: indexes.pop()
Output
The Lyndon words of length 2 is ac ad cd
Time complexity− O(nlogn), because we need to sort the "character" list first.
Space complexity− O(n) since we store n indexes in the list.
The Duval algorithm is the most efficient way to generate Lyndon words of length n. However, we have customized the method to only use array characters.
The above is the detailed content of Python program to generate Lyndon words of length n. For more information, please follow other related articles on the PHP Chinese website!

Working with XML data structures in C can use the TinyXML or pugixml library. 1) Use the pugixml library to parse and generate XML files. 2) Handle complex nested XML elements, such as book information. 3) Optimize XML processing code, and it is recommended to use efficient libraries and streaming parsing. Through these steps, XML data can be processed efficiently.

C still dominates performance optimization because its low-level memory management and efficient execution capabilities make it indispensable in game development, financial transaction systems and embedded systems. Specifically, it is manifested as: 1) In game development, C's low-level memory management and efficient execution capabilities make it the preferred language for game engine development; 2) In financial transaction systems, C's performance advantages ensure extremely low latency and high throughput; 3) In embedded systems, C's low-level memory management and efficient execution capabilities make it very popular in resource-constrained environments.

The choice of C XML framework should be based on project requirements. 1) TinyXML is suitable for resource-constrained environments, 2) pugixml is suitable for high-performance requirements, 3) Xerces-C supports complex XMLSchema verification, and performance, ease of use and licenses must be considered when choosing.

C# is suitable for projects that require development efficiency and type safety, while C is suitable for projects that require high performance and hardware control. 1) C# provides garbage collection and LINQ, suitable for enterprise applications and Windows development. 2)C is known for its high performance and underlying control, and is widely used in gaming and system programming.

C code optimization can be achieved through the following strategies: 1. Manually manage memory for optimization use; 2. Write code that complies with compiler optimization rules; 3. Select appropriate algorithms and data structures; 4. Use inline functions to reduce call overhead; 5. Apply template metaprogramming to optimize at compile time; 6. Avoid unnecessary copying, use moving semantics and reference parameters; 7. Use const correctly to help compiler optimization; 8. Select appropriate data structures, such as std::vector.

The volatile keyword in C is used to inform the compiler that the value of the variable may be changed outside of code control and therefore cannot be optimized. 1) It is often used to read variables that may be modified by hardware or interrupt service programs, such as sensor state. 2) Volatile cannot guarantee multi-thread safety, and should use mutex locks or atomic operations. 3) Using volatile may cause performance slight to decrease, but ensure program correctness.

Measuring thread performance in C can use the timing tools, performance analysis tools, and custom timers in the standard library. 1. Use the library to measure execution time. 2. Use gprof for performance analysis. The steps include adding the -pg option during compilation, running the program to generate a gmon.out file, and generating a performance report. 3. Use Valgrind's Callgrind module to perform more detailed analysis. The steps include running the program to generate the callgrind.out file and viewing the results using kcachegrind. 4. Custom timers can flexibly measure the execution time of a specific code segment. These methods help to fully understand thread performance and optimize code.

Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 English version
Recommended: Win version, supports code prompts!

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
