heatshrink-bin

Crates.ioheatshrink-bin
lib.rsheatshrink-bin
version0.4.1
sourcesrc
created_at2023-11-13 20:49:08.742517
updated_at2023-11-13 20:49:08.742517
descriptionA minimal library implementing the heatshrink compression algorithm for no_std environments
homepage
repositoryhttps://github.com/jcdubois/heatshrink-rs
max_upload_size
id1034023
size23,152
Jean-Christophe DUBOIS (jcdubois)

documentation

README

heatshrink-rs

Minimal no_std implementation of Heatshrink compression & decompression for embedded systems

This library is a "crude" port to RUST of the original heatshrink C library.

The port is limited to the "static" version of the C library which means heatshrink parameters are hardcoded to window_sz2 = 8 and lookahead_sz2 = 4.

It is not (yet?) possible to choose its own compression parameters (mainly because it is a no_std library and therefore it does not support dynamic allocation).

Key Features:

  • Low memory usage: It is useful for many general cases with small memory.
  • Incremental, bounded CPU use: You can chew on input data in arbitrarily tiny bites. This is a useful property in hard real-time environments.
  • For now you are limited to the static version because of no_std: No dynamic allocation is used.
  • ISC license: You can use it freely, even for commercial purposes.

Getting Started:

Basic Usage

  1. Allocate a heatshrink encoder or heatshrink decoder state machine using either HeatshrinkEncoder::new or HeatshrinkDecoder::new. You can also reset an existing state machine by calling the reset function on the state machine.

  2. Use sink to sink an input buffer into the state machine. In the returned result you get a CR code and the amount of bytes that were actually consumed (If 0 bytes were conusmed, the buffer is full.).

  3. Use poll to move output from the state machine into an output buffer. In the returned result you get a CR code and the amount bytes that were writen to the provided buffer.

Repeat steps 2 and 3 to stream data through the state machine. Since it's doing data compression, the input and output sizes can vary significantly. Looping will be necessary to buffer the input and output as the data is processed.

  1. When the end of the input stream is reached, call finish to notify the state machine that no more input is available. The return value from finish will indicate whether any output remains. if so, call poll to get more.

Continue calling finish and polling to flush remaining output until finish indicates that the output has been exhausted.

Sinking more data after finish has been called will not work without calling reset on the state machine.

Configuration

No configuration is needed (for now) on this RUST implementation as parameters are not user defined (they are hardcoded).

On the cargo build command you can choose to enable the lookup table to speed up the compression phase by selecting --features "heatshrink-use-index" on the cargo command line.

More Information and Benchmarks:

heatshrink is based on LZSS, since it's particularly suitable for compression in small amounts of memory. It can use an optional, small index to make compression significantly faster, but otherwise can run in under 100 bytes of memory. The index currently adds 2^(window size+1) bytes to memory usage for compression, and temporarily allocates 512 bytes on the stack during index construction (if the index is enabled).

For more information, see the blog post for an overview.

Commit count: 46

cargo fmt