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Run Length Encoding (RLE)

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Run Length Encoding (RLE) is a data compression method that simplifies long sequences of repeated values into pairs of run lengths and values. It's efficient for data with repetitive patterns, such as binary data and JPEG images, and is used in digital photography, medical imaging, and more. While RLE is excellent for certain types of data, it may not suit datasets with high variability.

Exploring the Basics of Run Length Encoding

Run Length Encoding (RLE) is a simple yet effective data compression technique that excels when applied to data containing long sequences of repeated values. It compresses data by replacing these sequences with pairs that indicate the number of repetitions (the run length) and the repeated value itself. For example, the string "AAABBBCC" would be encoded as "3A3B2C" in RLE format. This method is particularly efficient for data with extensive repetitive patterns, as it can significantly reduce the amount of space needed for storage. However, RLE may not be the best choice for data with few repetitions, as it can sometimes increase the size of the data instead of reducing it.
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Implementing Run Length Encoding Using Python

Python is a programming language well-suited for implementing Run Length Encoding due to its clear syntax and powerful standard libraries. To encode data using RLE in Python, one typically initializes a variable to hold the encoded result and iterates through the input, counting consecutive occurrences of each element. When a new element is encountered, the count and the element are added to the result. A Python function for RLE would efficiently process the input string, tallying consecutive characters and forming the encoded output by combining the count with the corresponding character. This algorithm has a linear time complexity, O(n), which means it can process data in a time proportional to the size of the input, making it quite efficient for large datasets.

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00

RLE Basic Principle

Replaces sequences of repeated values with count and value.

01

RLE Example Encoding

String 'AAABBBCC' becomes '3A3B2C'.

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RLE Inefficiency Scenario

Not suitable for data with few repetitions; may increase size.

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