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Python code able to convert / compress image to PI (3.14, π) Indexes
...ZIP also include 16 MB file with 16,7 mil numbers of PI
Benchmark(Single-Thread):
Hardware & Environment
Apple Silicon: Apple M2 (Mac mini/MacBook)
x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores)
OS 1: Fedora 43 (GNOME)
OS 2: Windows 11 Pro (23H2/24H2)
Software: Python 3.14.3 + Numba JIT (latest)
Results (Lower is better)
Platform / OS CPU Time (Seconds)
macOS (Native) Apple M2 52.151311 s (in default setup)
Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced)
Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
Open source library for processing arrays and matrices
AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions.
Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over...
SIET, the Simple Image Editing ( Editor ) Tool, is a simple-to-use, handy and free application for such tasks as resizing, cropping, retouching, watermarking, etc... Batch processing is also provided. Because is OS Independent, written in an interpreted language, SIET can run on any platform that has a java virtual machine available. Tested on: Windows 7, Windows XP, Linux Ubuntu, Linux Mint.