wrdz 0.1.1

Dictionary-based text compression optimized for short strings and URLs

wrdz

Dictionary-based compression for short text strings and URLs.

Key Features

• Optimized for Short Text: Designed for strings under 140 characters
• URL Compression: Special dictionary trained on URL patterns
• UTF-8 Support: Handles any valid UTF-8 text
• Domain Adaptable: Train custom dictionaries for your use case
• Pure Python: No external dependencies for runtime

Quick Start

pip install wrdz

from wrdz import compress, decompress

# English text compression
text = "The quick brown fox jumps over the lazy dog"
compressed = compress(text)
print(f"Original: {len(text)} bytes")
print(f"Compressed: {len(compressed)} bytes")
print(f"Ratio: {len(compressed)/len(text):.2%}")

# URL compression
from wrdz import compress_urls, decompress_urls

url = "https://github.com/pjwerneck/wrdz"
compressed = compress_urls(url)
print(f"Original: {len(url)} bytes")
print(f"Compressed: {len(compressed)} bytes")
print(f"Ratio: {len(compressed)/len(url):.2%}")

Training Custom Dictionaries

from wrdz.train import train_dictionary, save_dictionary

# Train on domain-specific text
cbook, dbook = train_dictionary(
    text="your training data",
    max_sub_len=4,    # Max sequence length
    dict_size=8192    # Dictionary entries
)

# Save for reuse
save_dictionary(cbook, dbook, "domain.dict")

# Use in compression
from wrdz.base import base_compress, base_decompress

compressed = base_compress("text", cbook)
original = base_decompress(compressed, dbook)

Compression Benchmarks

The tables below show compression ratios for different dictionary sizes and maximum sequence lengths. The Δ% column shows the improvement over the baseline compression ratio.

US English

The en_US dictionary is trained on a 1M lines subset of the cnn_dailymail dataset.

Dict Size	Max Seq	Short wrdz	Short smaz	Short Δ%	Long wrdz	Long smaz	Long Δ%
16384	4	0.671	0.907	+26.0	0.521	0.621	+16.1
8192	4	0.704	0.907	+22.4	0.526	0.621	+15.4
4096	4	0.736	0.907	+18.9	0.540	0.621	+13.1
2048	4	0.799	0.907	+11.9	0.559	0.621	+10.1
1024	4	0.867	0.907	+4.4	0.591	0.621	+4.8
512	4	0.906	0.907	+0.1	0.627	0.621	-1.0
256	4	0.919	0.907	-1.3	0.651	0.621	-4.9

URLs

The urls dictionary is trained on the ada-url dataset.

Dict Size	Max Seq	wrdz Ratio	smaz Ratio	Improvement %
8192	4	0.552	0.830	+33.5
16384	4	0.552	0.830	+33.5
4096	4	0.562	0.830	+32.2
2048	4	0.587	0.830	+29.2
1024	4	0.611	0.830	+26.3
512	4	0.641	0.830	+22.7
256	4	0.666	0.830	+19.8

Technical Details

1. Dictionary Training

   • Analyzes frequency of character sequences in training data
   • Selects sequences that maximize compression
   • Assigns variable-length binary codes based on frequency

2. Compression Format

   • 1-bit flag per token (dictionary/raw)
   • Variable-length dictionary codes (4-14 bits)
   • Raw UTF-8 encoding with 2-bit length prefix

License

MIT License. See LICENSE file for details.