morse-lib is a JavaScript library designed to encode text into integers using Morse code-style patterns. This encoding is intended for use in machine learning applications, where converting textual data into integer representations may be necessary for model training or analysis.
- Encodes text characters into Morse code-like patterns.
- Converts each Morse-like pattern into integers.
- Suitable for machine learning data preprocessing.
To install morse-lib, run the following command:
npm install morse-libYou can use morse-lib to encode text into integers using the Morse code style. Here is an example of how to use the library:
import morseCode from 'morse-lib';
// Initialize the encoder
const encoder = new morseCode();
// Example text: "HELLO"
const text = 'HELLO';
// Encode the text
const encoded = encoder.encode(text);
console.log(encoded);
// Output: [[0, 0], [0, 1], [1, 0, 0], [1, 1, 0, 0], [0, 1, 1]]In the example above, each character of "HELLO" is encoded into an array of integers representing Morse-like patterns. These integer arrays can be used for further machine learning tasks, such as training or analysis.
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Parameters:
text(string): The text to be encoded.
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Returns:
- An array of encoded Morse-like integer patterns for each character in the input text.
const encoded = morse.encode('HELLO');
console.log(encoded);
// Output: [[0, 0], [0, 1], [1, 0, 0], [1, 1, 0, 0], [0, 1, 1]]To run the unit tests using Jest:
npm testYou can extend the library by adding more characters and their respective Morse code mappings by modifying the characters.js file.
This project is licensed under the MIT License - see the LICENSE file for details.
If you'd like to contribute to the development of morse-lib, feel free to open issues or pull requests. Please ensure your code passes the tests before submitting.
- The library currently supports encoding text to integer arrays, but additional features like decoding can be added in the future.
- The patterns you receive are Morse-like and are designed to be integer-based for machine learning compatibility.