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Initial vendor packages

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Signed-off-by: Valentin Popov <valentin@popov.link>
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Valentin Popov
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{"files":{"CHANGELOG.md":"737088e45fdf27fe2cfedce163332d8ce08c58fd86ca287de2de34c0fbaf63e7","Cargo.toml":"f410869f0f1a5697f65a8a77be03da7aeecc0be26e7cf3a1feb1acaa4f518770","LICENSE-0BSD":"861399f8c21c042b110517e76dc6b63a2b334276c8cf17412fc3c8908ca8dc17","LICENSE-APACHE":"8ada45cd9f843acf64e4722ae262c622a2b3b3007c7310ef36ac1061a30f6adb","LICENSE-MIT":"23f18e03dc49df91622fe2a76176497404e46ced8a715d9d2b67a7446571cca3","README.md":"308c50cdb42b9573743068158339570b45ca3f895015ca3b87ba983edb0a21e6","RELEASE_PROCESS.md":"a86cd10fc70f167f8d00e9e4ce0c6b4ebdfa1865058390dffd1e0ad4d3e68d9d","benches/bench.rs":"c07ce370e3680c602e415f8d1ec4e543ea2163ab22a09b6b82d93e8a30adca82","src/algo.rs":"b664b131f724a809591394a10b9023f40ab5963e32a83fa3163c2668e59c8b66","src/lib.rs":"b55ba9c629b30360d08168b2ca0c96275432856a539737a105a6d6ae6bf7e88f"},"package":"f26201604c87b1e01bd3d98f8d5d9a8fcbb815e8cedb41ffccbeb4bf593a35fe"}

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# Changelog
## Unreleased
No changes.
## [1.0.2 - 2021-02-26](https://github.com/jonas-schievink/adler/releases/tag/v1.0.2)
- Fix doctest on big-endian systems ([#9]).
[#9]: https://github.com/jonas-schievink/adler/pull/9
## [1.0.1 - 2020-11-08](https://github.com/jonas-schievink/adler/releases/tag/v1.0.1)
### Fixes
- Fix documentation on docs.rs.
## [1.0.0 - 2020-11-08](https://github.com/jonas-schievink/adler/releases/tag/v1.0.0)
### Fixes
- Fix `cargo test --no-default-features` ([#5]).
### Improvements
- Extended and clarified documentation.
- Added more rustdoc examples.
- Extended CI to test the crate with `--no-default-features`.
### Breaking Changes
- `adler32_reader` now takes its generic argument by value instead of as a `&mut`.
- Renamed `adler32_reader` to `adler32`.
## [0.2.3 - 2020-07-11](https://github.com/jonas-schievink/adler/releases/tag/v0.2.3)
- Process 4 Bytes at a time, improving performance by up to 50% ([#2]).
## [0.2.2 - 2020-06-27](https://github.com/jonas-schievink/adler/releases/tag/v0.2.2)
- Bump MSRV to 1.31.0.
## [0.2.1 - 2020-06-27](https://github.com/jonas-schievink/adler/releases/tag/v0.2.1)
- Add a few `#[inline]` annotations to small functions.
- Fix CI badge.
- Allow integration into libstd.
## [0.2.0 - 2020-06-27](https://github.com/jonas-schievink/adler/releases/tag/v0.2.0)
- Support `#![no_std]` when using `default-features = false`.
- Improve performance by around 7x.
- Support Rust 1.8.0.
- Improve API naming.
## [0.1.0 - 2020-06-26](https://github.com/jonas-schievink/adler/releases/tag/v0.1.0)
Initial release.
[#2]: https://github.com/jonas-schievink/adler/pull/2
[#5]: https://github.com/jonas-schievink/adler/pull/5

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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies
#
# If you believe there's an error in this file please file an
# issue against the rust-lang/cargo repository. If you're
# editing this file be aware that the upstream Cargo.toml
# will likely look very different (and much more reasonable)
[package]
name = "adler"
version = "1.0.2"
authors = ["Jonas Schievink <jonasschievink@gmail.com>"]
description = "A simple clean-room implementation of the Adler-32 checksum"
documentation = "https://docs.rs/adler/"
readme = "README.md"
keywords = ["checksum", "integrity", "hash", "adler32", "zlib"]
categories = ["algorithms"]
license = "0BSD OR MIT OR Apache-2.0"
repository = "https://github.com/jonas-schievink/adler.git"
[package.metadata.docs.rs]
rustdoc-args = ["--cfg=docsrs"]
[package.metadata.release]
no-dev-version = true
pre-release-commit-message = "Release {{version}}"
tag-message = "{{version}}"
[[package.metadata.release.pre-release-replacements]]
file = "CHANGELOG.md"
replace = "## Unreleased\n\nNo changes.\n\n## [{{version}} - {{date}}](https://github.com/jonas-schievink/adler/releases/tag/v{{version}})\n"
search = "## Unreleased\n"
[[package.metadata.release.pre-release-replacements]]
file = "README.md"
replace = "adler = \"{{version}}\""
search = "adler = \"[a-z0-9\\\\.-]+\""
[[package.metadata.release.pre-release-replacements]]
file = "src/lib.rs"
replace = "https://docs.rs/adler/{{version}}"
search = "https://docs.rs/adler/[a-z0-9\\.-]+"
[[bench]]
name = "bench"
harness = false
[dependencies.compiler_builtins]
version = "0.1.2"
optional = true
[dependencies.core]
version = "1.0.0"
optional = true
package = "rustc-std-workspace-core"
[dev-dependencies.criterion]
version = "0.3.2"
[features]
default = ["std"]
rustc-dep-of-std = ["core", "compiler_builtins"]
std = []

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Copyright (C) Jonas Schievink <jonasschievink@gmail.com>
Permission to use, copy, modify, and/or distribute this software for
any purpose with or without fee is hereby granted.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN
AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

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Permission is hereby granted, free of charge, to any
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# Adler-32 checksums for Rust
[![crates.io](https://img.shields.io/crates/v/adler.svg)](https://crates.io/crates/adler)
[![docs.rs](https://docs.rs/adler/badge.svg)](https://docs.rs/adler/)
![CI](https://github.com/jonas-schievink/adler/workflows/CI/badge.svg)
This crate provides a simple implementation of the Adler-32 checksum, used in
the zlib compression format.
Please refer to the [changelog](CHANGELOG.md) to see what changed in the last
releases.
## Features
- Permissively licensed (0BSD) clean-room implementation.
- Zero dependencies.
- Zero `unsafe`.
- Decent performance (3-4 GB/s).
- Supports `#![no_std]` (with `default-features = false`).
## Usage
Add an entry to your `Cargo.toml`:
```toml
[dependencies]
adler = "1.0.2"
```
Check the [API Documentation](https://docs.rs/adler/) for how to use the
crate's functionality.
## Rust version support
Currently, this crate supports all Rust versions starting at Rust 1.31.0.
Bumping the Minimum Supported Rust Version (MSRV) is *not* considered a breaking
change, but will not be done without good reasons. The latest 3 stable Rust
versions will always be supported no matter what.

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# What to do to publish a new release
1. Ensure all notable changes are in the changelog under "Unreleased".
2. Execute `cargo release <level>` to bump version(s), tag and publish
everything. External subcommand, must be installed with `cargo install
cargo-release`.
`<level>` can be one of `major|minor|patch`. If this is the first release
(`0.1.0`), use `minor`, since the version starts out as `0.0.0`.
3. Go to the GitHub releases, edit the just-pushed tag. Copy the release notes
from the changelog.

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extern crate adler;
extern crate criterion;
use adler::{adler32_slice, Adler32};
use criterion::{criterion_group, criterion_main, Criterion, Throughput};
fn simple(c: &mut Criterion) {
{
const SIZE: usize = 100;
let mut group = c.benchmark_group("simple-100b");
group.throughput(Throughput::Bytes(SIZE as u64));
group.bench_function("zeroes-100", |bencher| {
bencher.iter(|| {
adler32_slice(&[0; SIZE]);
});
});
group.bench_function("ones-100", |bencher| {
bencher.iter(|| {
adler32_slice(&[0xff; SIZE]);
});
});
}
{
const SIZE: usize = 1024;
let mut group = c.benchmark_group("simple-1k");
group.throughput(Throughput::Bytes(SIZE as u64));
group.bench_function("zeroes-1k", |bencher| {
bencher.iter(|| {
adler32_slice(&[0; SIZE]);
});
});
group.bench_function("ones-1k", |bencher| {
bencher.iter(|| {
adler32_slice(&[0xff; SIZE]);
});
});
}
{
const SIZE: usize = 1024 * 1024;
let mut group = c.benchmark_group("simple-1m");
group.throughput(Throughput::Bytes(SIZE as u64));
group.bench_function("zeroes-1m", |bencher| {
bencher.iter(|| {
adler32_slice(&[0; SIZE]);
});
});
group.bench_function("ones-1m", |bencher| {
bencher.iter(|| {
adler32_slice(&[0xff; SIZE]);
});
});
}
}
fn chunked(c: &mut Criterion) {
const SIZE: usize = 16 * 1024 * 1024;
let data = vec![0xAB; SIZE];
let mut group = c.benchmark_group("chunked-16m");
group.throughput(Throughput::Bytes(SIZE as u64));
group.bench_function("5552", |bencher| {
bencher.iter(|| {
let mut h = Adler32::new();
for chunk in data.chunks(5552) {
h.write_slice(chunk);
}
h.checksum()
});
});
group.bench_function("8k", |bencher| {
bencher.iter(|| {
let mut h = Adler32::new();
for chunk in data.chunks(8 * 1024) {
h.write_slice(chunk);
}
h.checksum()
});
});
group.bench_function("64k", |bencher| {
bencher.iter(|| {
let mut h = Adler32::new();
for chunk in data.chunks(64 * 1024) {
h.write_slice(chunk);
}
h.checksum()
});
});
group.bench_function("1m", |bencher| {
bencher.iter(|| {
let mut h = Adler32::new();
for chunk in data.chunks(1024 * 1024) {
h.write_slice(chunk);
}
h.checksum()
});
});
}
criterion_group!(benches, simple, chunked);
criterion_main!(benches);

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use crate::Adler32;
use std::ops::{AddAssign, MulAssign, RemAssign};
impl Adler32 {
pub(crate) fn compute(&mut self, bytes: &[u8]) {
// The basic algorithm is, for every byte:
// a = (a + byte) % MOD
// b = (b + a) % MOD
// where MOD = 65521.
//
// For efficiency, we can defer the `% MOD` operations as long as neither a nor b overflows:
// - Between calls to `write`, we ensure that a and b are always in range 0..MOD.
// - We use 32-bit arithmetic in this function.
// - Therefore, a and b must not increase by more than 2^32-MOD without performing a `% MOD`
// operation.
//
// According to Wikipedia, b is calculated as follows for non-incremental checksumming:
// b = n×D1 + (n−1)×D2 + (n−2)×D3 + ... + Dn + n*1 (mod 65521)
// Where n is the number of bytes and Di is the i-th Byte. We need to change this to account
// for the previous values of a and b, as well as treat every input Byte as being 255:
// b_inc = n×255 + (n-1)×255 + ... + 255 + n*65520
// Or in other words:
// b_inc = n*65520 + n(n+1)/2*255
// The max chunk size is thus the largest value of n so that b_inc <= 2^32-65521.
// 2^32-65521 = n*65520 + n(n+1)/2*255
// Plugging this into an equation solver since I can't math gives n = 5552.18..., so 5552.
//
// On top of the optimization outlined above, the algorithm can also be parallelized with a
// bit more work:
//
// Note that b is a linear combination of a vector of input bytes (D1, ..., Dn).
//
// If we fix some value k<N and rewrite indices 1, ..., N as
//
// 1_1, 1_2, ..., 1_k, 2_1, ..., 2_k, ..., (N/k)_k,
//
// then we can express a and b in terms of sums of smaller sequences kb and ka:
//
// ka(j) := D1_j + D2_j + ... + D(N/k)_j where j <= k
// kb(j) := (N/k)*D1_j + (N/k-1)*D2_j + ... + D(N/k)_j where j <= k
//
// a = ka(1) + ka(2) + ... + ka(k) + 1
// b = k*(kb(1) + kb(2) + ... + kb(k)) - 1*ka(2) - ... - (k-1)*ka(k) + N
//
// We use this insight to unroll the main loop and process k=4 bytes at a time.
// The resulting code is highly amenable to SIMD acceleration, although the immediate speedups
// stem from increased pipeline parallelism rather than auto-vectorization.
//
// This technique is described in-depth (here:)[https://software.intel.com/content/www/us/\
// en/develop/articles/fast-computation-of-fletcher-checksums.html]
const MOD: u32 = 65521;
const CHUNK_SIZE: usize = 5552 * 4;
let mut a = u32::from(self.a);
let mut b = u32::from(self.b);
let mut a_vec = U32X4([0; 4]);
let mut b_vec = a_vec;
let (bytes, remainder) = bytes.split_at(bytes.len() - bytes.len() % 4);
// iterate over 4 bytes at a time
let chunk_iter = bytes.chunks_exact(CHUNK_SIZE);
let remainder_chunk = chunk_iter.remainder();
for chunk in chunk_iter {
for byte_vec in chunk.chunks_exact(4) {
let val = U32X4::from(byte_vec);
a_vec += val;
b_vec += a_vec;
}
b += CHUNK_SIZE as u32 * a;
a_vec %= MOD;
b_vec %= MOD;
b %= MOD;
}
// special-case the final chunk because it may be shorter than the rest
for byte_vec in remainder_chunk.chunks_exact(4) {
let val = U32X4::from(byte_vec);
a_vec += val;
b_vec += a_vec;
}
b += remainder_chunk.len() as u32 * a;
a_vec %= MOD;
b_vec %= MOD;
b %= MOD;
// combine the sub-sum results into the main sum
b_vec *= 4;
b_vec.0[1] += MOD - a_vec.0[1];
b_vec.0[2] += (MOD - a_vec.0[2]) * 2;
b_vec.0[3] += (MOD - a_vec.0[3]) * 3;
for &av in a_vec.0.iter() {
a += av;
}
for &bv in b_vec.0.iter() {
b += bv;
}
// iterate over the remaining few bytes in serial
for &byte in remainder.iter() {
a += u32::from(byte);
b += a;
}
self.a = (a % MOD) as u16;
self.b = (b % MOD) as u16;
}
}
#[derive(Copy, Clone)]
struct U32X4([u32; 4]);
impl U32X4 {
fn from(bytes: &[u8]) -> Self {
U32X4([
u32::from(bytes[0]),
u32::from(bytes[1]),
u32::from(bytes[2]),
u32::from(bytes[3]),
])
}
}
impl AddAssign<Self> for U32X4 {
fn add_assign(&mut self, other: Self) {
for (s, o) in self.0.iter_mut().zip(other.0.iter()) {
*s += o;
}
}
}
impl RemAssign<u32> for U32X4 {
fn rem_assign(&mut self, quotient: u32) {
for s in self.0.iter_mut() {
*s %= quotient;
}
}
}
impl MulAssign<u32> for U32X4 {
fn mul_assign(&mut self, rhs: u32) {
for s in self.0.iter_mut() {
*s *= rhs;
}
}
}

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//! Adler-32 checksum implementation.
//!
//! This implementation features:
//!
//! - Permissively licensed (0BSD) clean-room implementation.
//! - Zero dependencies.
//! - Zero `unsafe`.
//! - Decent performance (3-4 GB/s).
//! - `#![no_std]` support (with `default-features = false`).
#![doc(html_root_url = "https://docs.rs/adler/1.0.2")]
// Deny a few warnings in doctests, since rustdoc `allow`s many warnings by default
#![doc(test(attr(deny(unused_imports, unused_must_use))))]
#![cfg_attr(docsrs, feature(doc_cfg))]
#![warn(missing_debug_implementations)]
#![forbid(unsafe_code)]
#![cfg_attr(not(feature = "std"), no_std)]
#[cfg(not(feature = "std"))]
extern crate core as std;
mod algo;
use std::hash::Hasher;
#[cfg(feature = "std")]
use std::io::{self, BufRead};
/// Adler-32 checksum calculator.
///
/// An instance of this type is equivalent to an Adler-32 checksum: It can be created in the default
/// state via [`new`] (or the provided `Default` impl), or from a precalculated checksum via
/// [`from_checksum`], and the currently stored checksum can be fetched via [`checksum`].
///
/// This type also implements `Hasher`, which makes it easy to calculate Adler-32 checksums of any
/// type that implements or derives `Hash`. This also allows using Adler-32 in a `HashMap`, although
/// that is not recommended (while every checksum is a hash function, they are not necessarily a
/// good one).
///
/// # Examples
///
/// Basic, piecewise checksum calculation:
///
/// ```
/// use adler::Adler32;
///
/// let mut adler = Adler32::new();
///
/// adler.write_slice(&[0, 1, 2]);
/// adler.write_slice(&[3, 4, 5]);
///
/// assert_eq!(adler.checksum(), 0x00290010);
/// ```
///
/// Using `Hash` to process structures:
///
/// ```
/// use std::hash::Hash;
/// use adler::Adler32;
///
/// #[derive(Hash)]
/// struct Data {
/// byte: u8,
/// word: u16,
/// big: u64,
/// }
///
/// let mut adler = Adler32::new();
///
/// let data = Data { byte: 0x1F, word: 0xABCD, big: !0 };
/// data.hash(&mut adler);
///
/// // hash value depends on architecture endianness
/// if cfg!(target_endian = "little") {
/// assert_eq!(adler.checksum(), 0x33410990);
/// }
/// if cfg!(target_endian = "big") {
/// assert_eq!(adler.checksum(), 0x331F0990);
/// }
///
/// ```
///
/// [`new`]: #method.new
/// [`from_checksum`]: #method.from_checksum
/// [`checksum`]: #method.checksum
#[derive(Debug, Copy, Clone)]
pub struct Adler32 {
a: u16,
b: u16,
}
impl Adler32 {
/// Creates a new Adler-32 instance with default state.
#[inline]
pub fn new() -> Self {
Self::default()
}
/// Creates an `Adler32` instance from a precomputed Adler-32 checksum.
///
/// This allows resuming checksum calculation without having to keep the `Adler32` instance
/// around.
///
/// # Example
///
/// ```
/// # use adler::Adler32;
/// let parts = [
/// "rust",
/// "acean",
/// ];
/// let whole = adler::adler32_slice(b"rustacean");
///
/// let mut sum = Adler32::new();
/// sum.write_slice(parts[0].as_bytes());
/// let partial = sum.checksum();
///
/// // ...later
///
/// let mut sum = Adler32::from_checksum(partial);
/// sum.write_slice(parts[1].as_bytes());
/// assert_eq!(sum.checksum(), whole);
/// ```
#[inline]
pub fn from_checksum(sum: u32) -> Self {
Adler32 {
a: sum as u16,
b: (sum >> 16) as u16,
}
}
/// Returns the calculated checksum at this point in time.
#[inline]
pub fn checksum(&self) -> u32 {
(u32::from(self.b) << 16) | u32::from(self.a)
}
/// Adds `bytes` to the checksum calculation.
///
/// If efficiency matters, this should be called with Byte slices that contain at least a few
/// thousand Bytes.
pub fn write_slice(&mut self, bytes: &[u8]) {
self.compute(bytes);
}
}
impl Default for Adler32 {
#[inline]
fn default() -> Self {
Adler32 { a: 1, b: 0 }
}
}
impl Hasher for Adler32 {
#[inline]
fn finish(&self) -> u64 {
u64::from(self.checksum())
}
fn write(&mut self, bytes: &[u8]) {
self.write_slice(bytes);
}
}
/// Calculates the Adler-32 checksum of a byte slice.
///
/// This is a convenience function around the [`Adler32`] type.
///
/// [`Adler32`]: struct.Adler32.html
pub fn adler32_slice(data: &[u8]) -> u32 {
let mut h = Adler32::new();
h.write_slice(data);
h.checksum()
}
/// Calculates the Adler-32 checksum of a `BufRead`'s contents.
///
/// The passed `BufRead` implementor will be read until it reaches EOF (or until it reports an
/// error).
///
/// If you only have a `Read` implementor, you can wrap it in `std::io::BufReader` before calling
/// this function.
///
/// # Errors
///
/// Any error returned by the reader are bubbled up by this function.
///
/// # Examples
///
/// ```no_run
/// # fn run() -> Result<(), Box<dyn std::error::Error>> {
/// use adler::adler32;
///
/// use std::fs::File;
/// use std::io::BufReader;
///
/// let file = File::open("input.txt")?;
/// let mut file = BufReader::new(file);
///
/// adler32(&mut file)?;
/// # Ok(()) }
/// # fn main() { run().unwrap() }
/// ```
#[cfg(feature = "std")]
#[cfg_attr(docsrs, doc(cfg(feature = "std")))]
pub fn adler32<R: BufRead>(mut reader: R) -> io::Result<u32> {
let mut h = Adler32::new();
loop {
let len = {
let buf = reader.fill_buf()?;
if buf.is_empty() {
return Ok(h.checksum());
}
h.write_slice(buf);
buf.len()
};
reader.consume(len);
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn zeroes() {
assert_eq!(adler32_slice(&[]), 1);
assert_eq!(adler32_slice(&[0]), 1 | 1 << 16);
assert_eq!(adler32_slice(&[0, 0]), 1 | 2 << 16);
assert_eq!(adler32_slice(&[0; 100]), 0x00640001);
assert_eq!(adler32_slice(&[0; 1024]), 0x04000001);
assert_eq!(adler32_slice(&[0; 1024 * 1024]), 0x00f00001);
}
#[test]
fn ones() {
assert_eq!(adler32_slice(&[0xff; 1024]), 0x79a6fc2e);
assert_eq!(adler32_slice(&[0xff; 1024 * 1024]), 0x8e88ef11);
}
#[test]
fn mixed() {
assert_eq!(adler32_slice(&[1]), 2 | 2 << 16);
assert_eq!(adler32_slice(&[40]), 41 | 41 << 16);
assert_eq!(adler32_slice(&[0xA5; 1024 * 1024]), 0xd5009ab1);
}
/// Example calculation from https://en.wikipedia.org/wiki/Adler-32.
#[test]
fn wiki() {
assert_eq!(adler32_slice(b"Wikipedia"), 0x11E60398);
}
#[test]
fn resume() {
let mut adler = Adler32::new();
adler.write_slice(&[0xff; 1024]);
let partial = adler.checksum();
assert_eq!(partial, 0x79a6fc2e); // from above
adler.write_slice(&[0xff; 1024 * 1024 - 1024]);
assert_eq!(adler.checksum(), 0x8e88ef11); // from above
// Make sure that we can resume computing from the partial checksum via `from_checksum`.
let mut adler = Adler32::from_checksum(partial);
adler.write_slice(&[0xff; 1024 * 1024 - 1024]);
assert_eq!(adler.checksum(), 0x8e88ef11); // from above
}
#[cfg(feature = "std")]
#[test]
fn bufread() {
use std::io::BufReader;
fn test(data: &[u8], checksum: u32) {
// `BufReader` uses an 8 KB buffer, so this will test buffer refilling.
let mut buf = BufReader::new(data);
let real_sum = adler32(&mut buf).unwrap();
assert_eq!(checksum, real_sum);
}
test(&[], 1);
test(&[0; 1024], 0x04000001);
test(&[0; 1024 * 1024], 0x00f00001);
test(&[0xA5; 1024 * 1024], 0xd5009ab1);
}
}