Zeckendorf Compression
A Rust library for compressing and decompressing data using the Zeckendorf representation algorithm.
Overview
The Zeckendorf algorithm represents numbers as a sum of non-consecutive Fibonacci numbers. This library interprets input data as a big integer (either big-endian or little-endian), converts it to its Zeckendorf representation, and sometimes achieves compression. However, compression is not guaranteed; the algorithm may result in a larger representation depending on the input data. The library can automatically try both endian interpretations and select the one that produces the best compression.
⚠️ Warning: Compressing or decompressing files larger than 10KB (10,000 bytes) is unstable due to time and memory pressure. The library may experience performance issues, excessive memory usage, or failures when processing files exceeding this size.
Command-line tools (zeck-compress and zeck-decompress) are available and can be installed via cargo install zeck. See the Binaries section for usage details.
Features
- Compression & Decompression: Convert data to/from Zeckendorf representation
- Multiple Endian Interpretations: Support for both big-endian and little-endian input interpretations
- Automatic Best Compression: Try both endian interpretations and automatically select the best result
- Multiple Fibonacci Algorithms:
- Slow recursive (memoized, for small numbers)
- Slow iterative (memoized, for large numbers)
- Fast Doubling (optimized, ~160x faster for large indices)
- BigInt Support: Handle arbitrarily large numbers using
num-bigint - Memoization: Thread-safe caching for improved performance
- Statistics & Visualization: Generate compression statistics and plots
- Benchmarking: Comprehensive performance benchmarks
- WebAssembly Support: Available as a WebAssembly module for use in web browsers
WebAssembly
This library is also available as a WebAssembly module for use in web browsers. Available functions are marked with the #[wasm_bindgen] attribute. The WebAssembly module can be built using the convenience script at scripts/build_wasm_bundle.sh that builds the WebAssembly module with the wasm-pack tool.
You can see a live demo of the WebAssembly module in action at https://prizz.github.io/zeckendorf-webapp/. The source code for the demo is available at https://github.com/pRizz/zeckendorf-webapp.
Installation
Install from crates.io
Run:
Or add this to your Cargo.toml:
[]
= "0.1.0"
For plotting features:
[]
= { = "0.1.0", = ["plotting"] }
Install from GitHub (development version)
Run:
Or add this to your Cargo.toml:
[]
= { = "https://github.com/pRizz/zeckendorf" }
For plotting features:
[]
= { = "https://github.com/pRizz/zeckendorf", = ["plotting"] }
Install from npm
Run:
Or add this to your package.json:
Usage
Basic Compression/Decompression
Big-Endian Interpretation
use ;
// Compress data (interpreted as big-endian integer)
let data = vec!;
let compressed = zeckendorf_compress_be;
// Decompress data
let decompressed = zeckendorf_decompress_be;
assert_eq!;
Little-Endian Interpretation
use ;
// Compress data (interpreted as little-endian integer)
let data = vec!;
let compressed = zeckendorf_compress_le;
// Decompress data
let decompressed = zeckendorf_decompress_le;
assert_eq!;
Automatic Best Compression
use ;
// Try both endian interpretations and get the best result
let data = vec!;
let result = zeckendorf_compress_best;
match result
Fibonacci Numbers
use memoized_slow_fibonacci_recursive;
// Calculate Fibonacci numbers (for indices up to 93)
let fib_10 = memoized_slow_fibonacci_recursive; // Returns 55
// For larger numbers, use BigInt versions
use fast_doubling_fibonacci_bigint;
let fib_100 = fast_doubling_fibonacci_bigint;
Zeckendorf Representation
use memoized_zeckendorf_list_descending_for_integer;
// Get Zeckendorf representation as a list of Fibonacci indices
let zld = memoized_zeckendorf_list_descending_for_integer;
// Returns [6, 4, 2] meaning F(6) + F(4) + F(2) = 8 + 3 + 1 = 12
Binaries
The project includes several utility binaries. The command-line compression tools (zeck-compress and zeck-decompress) can be installed globally via:
Install from crates.io
Install from GitHub (development version)
After installation, you can use zeck-compress and zeck-decompress directly from your command line.
Compression/Decompression Tools
⚠️ Warning: Compressing or decompressing files larger than 10KB (10,000 bytes) is unstable due to time and memory pressure. The library may experience performance issues, excessive memory usage, or failures when processing files exceeding this size.
zeck-compress
Compresses data using the Zeckendorf representation algorithm. Automatically adds .zbe extension for big-endian compression and .zle extension for little-endian compression.
Options:
INPUT: Input file path (optional, reads from stdin if not specified)- Shows a warning if reading from stdin and no data was piped in
-o, --output FILE: Output file path (optional)- If not specified and input is a file, uses the input filename with the appropriate extension (
.zbeor.zle) appended - If not specified and reading from stdin, writes to stdout
- The appropriate extension (
.zbefor big-endian,.zlefor little-endian) is automatically added unless the file already ends with.zbeor.zle
- If not specified and input is a file, uses the input filename with the appropriate extension (
--endian ENDIAN: Endianness to use (big,little, orbest). Default:bestbig: Use big-endian interpretation (output will have.zbeextension)little: Use little-endian interpretation (output will have.zleextension)best: Try both and use the best result (default, extension added based on which was used)- Note: When using
best, if neither method produces compression (both result in larger or equal output), the tool will exit with an error showing compression statistics
-v, --verbose: Show compression statistics (default: true, use--no-verboseto disable)
Examples:
# Compress a file (output filename automatically created from input with extension)
# Creates input.bin.zbe or input.bin.zle depending on which endianness was used
# Compress with best endianness (statistics shown by default)
# Compress with specific endianness (creates input.bin.zbe)
# Compress to a specific output file
# Creates output.zbe or output.zle depending on which endianness was used
# Compress from stdin to stdout
|
Note: When writing to a file, the output filename is printed to stdout (e.g., "Compressed to: input.bin.zbe"). Verbose statistics are shown by default and include descriptive messages about compression ratios (e.g., "File was compressed by X.XX% (Y bytes -> Z bytes)"). A warning is shown when reading from stdin if no data was piped in.
zeck-decompress
Decompresses data that was compressed using the Zeckendorf representation algorithm. Automatically detects endianness from file extension (.zbe for big-endian, .zle for little-endian).
Options:
INPUT: Input file path (optional, reads from stdin if not specified)- When reading from a file, endianness is automatically detected from file extension (
.zbefor big-endian,.zlefor little-endian) - If extension is not recognized,
--endianis REQUIRED (exits with error if not specified) - When reading from stdin,
--endianis REQUIRED - Shows a warning if reading from stdin and no data was piped in
- When reading from a file, endianness is automatically detected from file extension (
-o, --output FILE: Output file path (optional)- If not specified and input is a file, uses the input filename with
.zbeor.zleextension removed - If not specified and reading from stdin, writes to stdout
- If not specified and input is a file, uses the input filename with
--endian ENDIAN: Endianness used during compression (bigorlittle)big: Decompress as big-endianlittle: Decompress as little-endian- REQUIRED when reading from stdin (no input file specified)
- When reading from a file, this option overrides automatic detection from file extension
-v, --verbose: Show decompression statistics (default: true, use--no-verboseto disable)
Examples:
# Decompress a file (endianness detected from .zbe extension, output filename automatically created)
# Automatically uses big-endian decompression, creates output file "input"
# Decompress with little-endian file
# Automatically uses little-endian decompression, creates output file "input"
# Decompress to a specific output file
# Automatically uses big-endian decompression
# Override automatic detection
# Overrides the .zbe extension and uses little-endian
# Decompress from stdin to stdout (--endian is required)
|
Note: The endianness used for decompression must match the endianness used during compression. The file extension (.zbe or .zle) indicates which endianness was used, so decompression will automatically use the correct endianness when reading from a file. If the input file doesn't have a recognized extension, --endian must be explicitly specified (the tool will exit with an error if not provided). You can override automatic detection with the --endian flag if needed. When reading from stdin, --endian must be explicitly specified since there's no file extension to detect from.
Additional features:
- When writing to a file, the output filename is printed to stdout (e.g., "Compressed to: input.bin.zbe" or "Decompressed to: output.bin")
- Verbose statistics are shown by default (use
--no-verboseto disable) and include descriptive messages about compression/decompression ratios - Compression will exit with an error if the data cannot be compressed (when using
--endian bestand neither method produces compression) - A warning is shown when reading from stdin if no data was piped in
Main Playground
A playground/scratchpad for testing library functions.
Generate Test Data
Generates random test data files in the generated_data/ directory.
Example:
Generate Statistics
Generates comprehensive compression statistics and plots:
- Compression ratios across different input sizes
- Chance of compression being favorable
- Average and median compression ratios
- Statistics saved to
statistics_history/directory - Plots saved to
plots/directory
Plot Compression Ratios
Generates visualization plots of:
- Fibonacci numbers
- Compression ratios for various input ranges
Benchmarks
Zeckendorf Compression Benchmarks
Benchmarks compression, decompression, and round-trip performance for various data sizes (4 bytes to 16KB).
Fibonacci Benchmarks
Compares performance of different Fibonacci calculation algorithms:
- Slow iterative method
- Fast doubling method (~160x faster for large indices)
Working with Benchmark Baselines
Save a new baseline:
Compare to an existing baseline:
Performance Characteristics
- Fast Doubling Fibonacci: ~160x faster than iterative method for the 100,000th Fibonacci number
- Memoization: Thread-safe caching significantly improves repeated calculations. The trade-off is that the cache takes up memory.
- Compression Effectiveness: Varies by input; compression ratios oscillate and become less favorable as input size increases
Algorithm Details
Zeckendorf Representation
Every positive integer can be uniquely represented as a sum of non-consecutive Fibonacci numbers. For example:
- 12 = 8 + 3 + 1 = F(6) + F(4) + F(2)
Compression Process
- Input data is interpreted as either a big-endian or little-endian integer (you can choose, or use
zeckendorf_compress_bestto try both) - The integer is converted to its Zeckendorf representation (list of Fibonacci indices)
- The representation is encoded as bits (use/skip bits)
- Bits are packed into bytes (little-endian output)
The library provides functions to compress with either interpretation, or you can use zeckendorf_compress_best to automatically try both and select the one that produces the smallest output.
Effective Fibonacci Indices
The library uses "Effective Fibonacci Indices" (EFI) starting from 0, where:
- EFI 0 = Fibonacci Index 2 (value 1)
- EFI 1 = Fibonacci Index 3 (value 2)
- etc.
This avoids redundant Fibonacci numbers (F(0)=0 and F(1)=F(2)=1).
Limitations
- Compression is not guaranteed—some inputs may result in larger output
- Compression effectiveness decreases as input size increases
- The library supports both big-endian and little-endian interpretations, but other byte orderings or word boundaries are not currently explored
- ⚠️ Warning: Compressing or decompressing files larger than 10KB (10,000 bytes) is unstable due to time and memory pressure. The library may experience performance issues, excessive memory usage, or failures when processing files exceeding this size.
NPM Versioning Quirk
For some reason, NPM was showing there were versions of zeck published between 1.0.0 and 1.0.6 from 2024, even though I never published them to npm. I don't know how this happened. So I bumped the version to 1.0.7 and was able to successfully publish it to npm. Maybe there was an old package with the same name that was deleted, and NPM is still showing the old versions.
Here is a snippet of the time object from the npm registry JSON (https://registry.npmjs.org/zeck):
"time": ,
License
This project is licensed under the MIT License - see the LICENSE.txt file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
References
- Fast Fibonacci Algorithms - Fast doubling algorithm reference
- Zeckendorf's Theorem - Every positive integer has a unique representation as a sum of non-consecutive Fibonacci numbers