Fast hashing for large files
Project description
imohash_rs
imohash_rs is a fast, constant-time hashing library for Python, and application to hash files from the command line. It uses file size and sampling to calculate hashes quickly, regardless of file size.
imohash_rs is built on top of Rust component: hiql/imohash.
Alternative implementations
- Java: https://github.com/dynatrace-oss/hash4j
- JavaScript/TypeScript: https://github.com/clockwork-dog/imohash
- Python: https://github.com/kalafut/py-imohash
- Rust: https://github.com/hiql/imohash
- Python: https://github.com/unsektor/py-imohash (this one)
Algorithm
Consult the documentation for more information.
Misuses
Because imohash only reads a small portion of a file's data, it is not suitable for:
- file verification or integrity monitoring
- cases where fixed-size files are manipulated
- anything cryptographic
The original project created by Jim Kalafut, check out https://github.com/kalafut/imohash
Installation
pip install imohash_rs
Architecture overview
Benchmark
Comparison with imohash
imohash is a package that provides native python implementation of imohash algorithm (see https://github.com/kalafut/py-imohash).
See bench.ipynb for details:
Graphics analyze reveals, that native implementation (imohash) is faster in case of sequent files processing.
Usage
Component provides Python API (for usage in code), and CLI application.
Python API
import imohash_rs
imohash = imohash_rs.Imohash()
# Adjust hash settings with `sample_threshold` and `sample_size` parameters:
# imohash = imohash_rs.Imohash(sample_threshold=imohash_rs.SAMPLE_THRESHOLD, sample_size=imohash_rs.SAMPLE_SIZE)
if True: # ... calculate hash for file
hash_ = imohash.get_for_file(path=imohash_rs.__file__)
# Hash(value=173061995066865536926914513679577055882)
hash_.hexdigest()
# '0c246e9df1ac5b0d4536efbe96244aa8'
if True: # ... calculate hash for bytes data
hash_ = imohash.get(data=b'example data')
# Hash(value=223695275369458893910658172564464870412)
hash_.hexdigest()
# '0c246e9df1ac5b0d4536efbe96244aa8'
hash_.digest()
# b'\x0c$n\x9d\xf1\xac[\rE6\xef\xbe\x96$J\xa8'
CLI application
Component provides a CLI sample application to hash files, similar to md5sum:
python3 -m imohash_rs # ... options and arguments
Application options:
-t/--sample-threshold— Sample threshold value.-s/--sample-size— Sample size value. The entire file will be hashed (i.e. no sampling), ifsample_size < 1-f/--formatof{ int | bytes | hex }— Hash representation format. Defaulthex-i/--interactive— Interactive hash computation mode. Conflicts with[file_path ...]argument[file_path ...]— File paths to compute hash of. Conflicts with-i/--interactiveargument
Usage example:
-
Compute hash sum of file(s):
# echo example > /tmp/my_file python3 -m imohash_rs /tmp/my_file
prints:
0877d8731ad98e5ee1cc09c0a87772bf /tmp/my_file -
Compute hash sum of file(s) with
findapplication result:# dd if=/dev/random of=/tmp/1.iso bs=1M count=64 # dd if=/dev/random of=/tmp/2.iso bs=1M count=64 # cp /tmp/1.iso /tmp/3.iso find /tmp -type f -iname '*.iso' -exec python3 -m imohash_rs {} \+
prints:
808080203afea9085df78cd992f28546 /tmp/1.iso 8080802011cdd41fbddd9c1f853c1330 /tmp/2.iso 808080203afea9085df78cd992f28546 /tmp/3.iso # as same as #1 ! -
Compute hash of string content (as bytes data) interactively:
python3 -m imohash_rs -i # ... or implicitly: python3 -m imohash_rs
Interactive mode (format: hex) > example 07ce528a343b2b99d4bd1bcdd648d138 > example 2 09b17440da02c7feb0b54f89d4d7b142 >
Development
## initial setup
python3 -m venv venv
python3 -m pip install -r requirements.lock
## development
source venv/bin/activate
maturin develop
# maturin develop --release --strip
## build
maturin build --release
Motivation
This was primarily written for me to learn Rust.
Changelog
License (MIT)
Project details
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