Crates.io | base64-compat |
lib.rs | base64-compat |
version | 1.0.0 |
source | src |
created_at | 2019-09-12 13:24:47.488966 |
updated_at | 2019-09-12 16:07:13.33132 |
description | encodes and decodes base64 as bytes or utf8 - compatible with older Rust versions |
homepage | |
repository | https://github.com/stevenroose/rust-base64-compat |
max_upload_size | |
id | 164397 |
size | 195,954 |
It's base64. What more could anyone want?
Perhaps a stable API and compatibility with not-last-summer Rust versions?
This project is a fork of rust-base64 with stable support for older Rust versions.
This library's goals are to be correct and fast. It's thoroughly tested and widely used. It exposes functionality at multiple levels of abstraction so you can choose the level of convenience vs performance that you want, e.g. decode_config_slice
decodes into an existing &mut [u8]
and is pretty fast (2.6GiB/s for a 3 KiB input), whereas decode_config
allocates a new Vec<u8>
and returns it, which might be more convenient in some cases, but is slower (although still fast enough for most purposes) at 2.1 GiB/s.
Cargo.toml line: base64-compat = "1.0.0"
extern crate base64;
use base64::{encode, decode};
fn main() {
let a = b"hello world";
let b = "aGVsbG8gd29ybGQ=";
assert_eq!(encode(a), b);
assert_eq!(a, &decode(b).unwrap()[..]);
}
See the docs for all the details.
The minimum required Rust version is 1.19.0.
Benchmarks are in benches/
. Running them requires nightly rust, but rustup
makes it easy:
rustup run nightly cargo bench
Decoding is aided by some pre-calculated tables, which are generated by:
cargo run --example make_tables > src/tables.rs.tmp && mv src/tables.rs.tmp src/tables.rs
On Linux, you can use perf for profiling. Then compile the benchmarks with rustup nightly run cargo bench --no-run
.
Run the benchmark binary with perf
(shown here filtering to one particular benchmark, which will make the results easier to read). perf
is only available to the root user on most systems as it fiddles with event counters in your CPU, so use sudo
. We need to run the actual benchmark binary, hence the path into target
. You can see the actual full path with rustup run nightly cargo bench -v
; it will print out the commands it runs. If you use the exact path that bench
outputs, make sure you get the one that's for the benchmarks, not the tests. You may also want to cargo clean
so you have only one benchmarks-
binary (they tend to accumulate).
sudo perf record target/release/deps/benchmarks-* --bench decode_10mib_reuse
Then analyze the results, again with perf:
sudo perf annotate -l
You'll see a bunch of interleaved rust source and assembly like this. The section with lib.rs:327
is telling us that 4.02% of samples saw the movzbl
aka bit shift as the active instruction. However, this percentage is not as exact as it seems due to a phenomenon called skid. Basically, a consequence of how fancy modern CPUs are is that this sort of instruction profiling is inherently inaccurate, especially in branch-heavy code.
lib.rs:322 0.70 : 10698: mov %rdi,%rax
2.82 : 1069b: shr $0x38,%rax
: if morsel == decode_tables::INVALID_VALUE {
: bad_byte_index = input_index;
: break;
: };
: accum = (morsel as u64) << 58;
lib.rs:327 4.02 : 1069f: movzbl (%r9,%rax,1),%r15d
: // fast loop of 8 bytes at a time
: while input_index < length_of_full_chunks {
: let mut accum: u64;
:
: let input_chunk = BigEndian::read_u64(&input_bytes[input_index..(input_index + 8)]);
: morsel = decode_table[(input_chunk >> 56) as usize];
lib.rs:322 3.68 : 106a4: cmp $0xff,%r15
: if morsel == decode_tables::INVALID_VALUE {
0.00 : 106ab: je 1090e <base64::decode_config_buf::hbf68a45fefa299c1+0x46e>
This uses cargo-fuzz. See fuzz/fuzzers
for the available fuzzing scripts. To run, use an invocation like these:
cargo +nightly fuzz run roundtrip
cargo +nightly fuzz run roundtrip_no_pad
cargo +nightly fuzz run roundtrip_random_config -- -max_len=10240
cargo +nightly fuzz run decode_random
This project is a fork of the rust-base64 project, which is dual-licensed under MIT and Apache 2.0. This project is thus also dual-licensed under MIT and Apache 2.0.