Gigantix — Infinite Size Numbers Module

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#21

Done, already sent it! Now I am going to sleep cuz its late here tho.

#22

Hey! so I just started using this module, and I would like to know if there is a way to make it so I can get the 100 decimal (0.1>5<)?

#23

Hey there! So currently the module doesn’t support decimal numbers neither negative numbers.
It is something I might do in the future.

#24

I forgot to say but I got it working. It took some messing around and math.

1 Like
#25

Oh, glad to hear that! If you want to help improve the module, you can make a PR on github :heart:

#26

Module Updated!

You can find the new version on GitHub

Performance Improvements in all Functions

  • Convert Notation to Number (1GP) - Performance improved about 78%

  • Convert Notation to Number (100.000) - Performance improved about 3%

  • Convert String to Array Number - Performance improved about 40%

  • Long Number Notation - Performance improved about 31%

  • Short Number Notation - Performance improved about 41%

  • Add Numbers - Performance improved about 93%

  • Subtract Numbers - Performance improved about 86%

The new Gigantix implementation delivers major performance gains, especially in arithmetic operations. Soon I pretend to add support to Negative Numbers and a conversion system to help you save data while using less memory! :rocket:

#27

Gigantix Module Update Log - Version: 1.0

New Features:

  • Example File Added: An example file has been included to demonstrate the usage of Gigantix functions, aiding developers in integrating the module effectively.

  • Number Encoding and Decoding: Introduced encodeNumber and decodeNumber functions to compress and decompress large numbers, optimizing data storage and transmission.

  • Negative Number Support: Enhanced the module to handle negative numbers seamlessly across all operations.

Improvements:

  • Bug Fixes: Resolved various issues, particularly those related to the previous lack of support for negative numbers, ensuring more reliable computations.

  • Comparison Function: Added a preliminary function for comparing large numbers, laying the groundwork for more advanced comparison features in future updates.

Planned Enhancements:

  • Advanced Comparison Functions: Developing more robust and efficient comparison functions to enhance the module’s versatility.

  • Performance Optimization: Focusing on improving performance and reducing time complexity to ensure faster computations.

  • Encoded Number Compatibility: Planning to allow all functions to accept encoded numbers directly. While this will provide flexibility, it may introduce additional decoding overhead, potentially affecting performance due to the current O(N²) time complexity of the decoding function.

For more details and to access the latest version, visit the Gigantix GitHub repository.