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Solve Count Valid String Encodings using Python Language

Solve Count Valid String Encodings using Python to enhance your skills with python coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Count Valid String Encodings

Difficulty : Hard

Categories :

  • Strings

Given a string text, find the number of valid encodings that can be created by grouping its digits. A valid encoding follows these rules:

  • Each group can be 1 or 2 digits long
  • A one-digit group must be between '1' and '9'
  • A two-digit group must be between '10' and '26'
  • Leading zeros are not allowed
  • The entire string must be used in the encoding

Return the count of valid encodings modulo 10^9 + 7.

Constraints:

  • 1 ≤ text.length ≤ 10^5
  • text consists of digits only
  • The answer will be less than 10^9 + 7

Examples:

Input: text = "12321"
Output: 6
Explanation: Valid encodings are:
1,2,3,2,1
12,3,2,1
1,23,2,1
1,2,3,21
1,2,32,1
12,3,21
Input: text = "27365"
Output: 2
Explanation: Valid encodings are:
2,7,3,6,5
27,3,6,5

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Choose from the following categories

Strings A sequence of characters used to represent text, with problems focused on manipulation, searching, and pattern matching.

Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.