BLAKE3 Hash Function

Warnings

• gotcha Installation may require a Rust toolchain. While pre-built wheels are available for most common platforms and Python versions, if a suitable wheel is not found for your specific environment (OS, architecture, Python version), pip will attempt to build the library from source. This requires the Rust programming language and Cargo package manager to be installed on your system.
  Fix: Ensure Rust and Cargo are installed (e.g., via `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`) before attempting to install `blake3` if you encounter build errors.
• gotcha Minimum Supported Rust Version (MSRV) increases over time. For versions 1.0.7 and later, the MSRV is Rust 1.80. If you are building from source, an older Rust toolchain might lead to compilation failures.
  Fix: Update your Rust toolchain to version 1.80 or newer using `rustup update`.
• gotcha For optimal performance and memory usage with large datasets, use `blake3.Hasher()` for incremental hashing. The `blake3.blake3()` function is designed for one-shot hashing of data that fits comfortably in memory. Repeated calls to `blake3.blake3()` on chunks of a large file will be inefficient compared to using the `Hasher` object.
  Fix: Initialize `hasher = blake3.Hasher()` and feed data chunks using `hasher.update(data_chunk)` before calling `hasher.finalize()`.

Install

• pip install blake3 Install blake3

Imports

• blake3

  import blake3

Quickstart

Demonstrates both one-shot hashing of a complete data block and incremental hashing for streaming data.

import blake3

# One-shot hashing
data = b"Hello, BLAKE3!"
hash_result = blake3.blake3(data).hexdigest()
print(f"One-shot hash: {hash_result}")

# Incremental hashing
hasher = blake3.Hasher()
hasher.update(b"First part. ")
hasher.update(b"Second part.")
incremental_hash = hasher.finalize().hexdigest()
print(f"Incremental hash: {incremental_hash}")