25 releases
Uses new Rust 2024
0.3.0 | May 28, 2025 |
---|---|
0.2.0-alpha1 | May 1, 2024 |
0.1.16 | Mar 9, 2024 |
0.1.14 | Dec 19, 2023 |
0.1.9 | Jun 29, 2023 |
#8 in WebAssembly
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Used in 53 crates
(7 directly)
570KB
9K
SLoC
range-set-blaze
Integer sets as fast, sorted integer ranges; Maps with integer-range keys; Full set operations
Supports all of Rust's integer-like types, u8
to u128
, i8
to i128
, char
(Unicode characters), Ipv4Addr
, and Ipv6Addr
.
Set operations—union
, intersection
, difference
, symmetric difference
, and complement
— are available on both sets and maps.
The crate's main structs are:
RangeSetBlaze
, a set of integers. See the set documentation for details.RangeMapBlaze
, a map from integers to values. See the map documentation for details.
Unlike the standard
BTreeSet
/BTreeMap
andHashSet
/HashMap
,RangeSetBlaze
does not store every integer in the set. Rather, it stores sorted & disjoint ranges of integers in a cache-efficientBTreeMap
. It differs from other interval libraries -- that we know of -- by offering full set operations and by being optimized for sets of clumpy integers.We can construct a
RangeSetBlaze
orRangeMapBlaze
from unsorted & redundant integers (or ranges). When the inputs are clumpy, construction will be linear in the number of inputs and set operations will be sped up quadratically.⚠️ Warning: All RangeMapBlaze operations (
into_iter
, union, difference, symmetric difference, etc.) now give precedence to the right-hand map when ranges overlap. This change (from version 0.2.0) aligns with the behavior ofBTreeMap
andHashMap
.
The crate's main traits are
SortedDisjoint
, implemented by iterators of sorted & disjoint ranges of integers. See documentation for details.SortedDisjointMap
, implemented by iterators of pairs, where the first item is a sorted & disjoint range of integers. The second item is a value. See documentation for details.
With any
SortedDisjoint
orSortedDisjointMap
iterator we can perform set operations in one pass through the ranges and with minimal (constant) memory. The package enforces the "sorted & disjoint" constraint at compile time (making invalid states unrepresentable).
The crate supports no_std
, WASM, and embedded (with alloc) projects. For no_std
, etc., Use the command:
cargo add range-set-blaze --no-default-features
Benchmarks
See the set benchmarks and map benchmarks for performance comparisons with other range-related crates.
Generally, for many tasks involving clumpy integers and ranges, RangeSetBlaze
is much faster than alternatives.
The benchmarks are in the benches
directory. To run them, use cargo bench
.
Articles
-
Nine Rules for Creating Fast, Safe, and Compatible Data Structures in Rust: Lessons from RangeSetBlaze in Towards Data Science. It provides a high-level overview of the crate and its design.
-
Nine Rules for Running Rust on the Web and on Embedded: Practical Lessons from Porting range-set-blaze to no_std and WASM in Towards Data Science. It covers porting to "
no_std
". -
Check AI-Generated Code Perfectly and Automatically My Experience Applying Kani’s Formal Verification to ChatGPT-Suggested Rust Code. Shows how to prove overflow safety.
-
Nine Rules to Formally Validate Rust Algorithms with Dafny in Towards Data Science. It shows how to formally validate one of the crate's algorithms.
-
Nine Rules for SIMD Acceleration of your Rust Code: General Lessons from Boosting Data Ingestion in the range-set-blaze Crate by 7x in Towards Data Science
-
Also see: CHANGELOG
Examples
Example 1: Set Operations
Here we take the union (operator “|”) of two RangeSetBlaze
's:
use range_set_blaze::prelude::*;
// a is the set of integers from 100 to 499 (inclusive) and 501 to 1000 (inclusive)
let a = RangeSetBlaze::from_iter([100..=499, 501..=999]);
// b is the set of integers -20 and the range 400 to 599 (inclusive)
let b = RangeSetBlaze::from_iter([-20..=-20, 400..=599]);
// c is the union of a and b, namely -20 and 100 to 999 (inclusive)
let c = a | b;
assert_eq!(c, RangeSetBlaze::from_iter([-20..=-20, 100..=999]));
Example 2: Maps (and Network Addresses)
In networking, we can use RangeMapBlaze
to visualize routing tables.
It efficiently merges adjacent or overlapping routes with identical next-hops, removes overlaps
(respecting priority), and provides fast lookups. While specialized prefix trees (tries) are typically
used in production routers for maximum efficiency, this example shows how RangeMapBlaze
makes the information more understandable. Similar concepts apply when working with other range-mappings like font tables.
use range_set_blaze::prelude::*;
use std::net::Ipv4Addr;
// A routing table, sorted by prefix length (so, highest priority last)
let routing = [
// destination, prefix, next hop, interface
("0.0.0.0", 0, "152.10.0.0", "eth0"),
("10.0.0.0", 8, "10.3.4.2", "eth1"),
("10.0.1.12", 30, "10.1.1.0", "eth2"),
("10.0.1.8", 30, "10.1.1.0", "eth2"),
("10.0.1.7", 32, "10.1.1.0", "eth2"),
];
// Create a RangeMapBlaze from the routing table
let range_map = routing
.iter()
.map(|(dest, prefix_len, next_hop, interface)| {
let dest: Ipv4Addr = dest.parse().unwrap();
let next_hop: Ipv4Addr = next_hop.parse().unwrap();
let mask = u32::MAX.checked_shr(*prefix_len).unwrap_or(0);
let range_start = Ipv4Addr::from(u32::from(dest) & !mask);
let range_end = Ipv4Addr::from(u32::from(dest) | mask);
(range_start..=range_end, (next_hop, interface))
})
.collect::<RangeMapBlaze<_, _>>();
// Print the now disjoint, sorted ranges and their associated values
for (range, (next_hop, interface)) in range_map.range_values() {
println!("{range:?} → ({next_hop}, {interface})");
}
// Look up an address
assert_eq!(
range_map.get(Ipv4Addr::new(10, 0, 1, 6)),
Some(&(Ipv4Addr::new(10, 3, 4, 2), &"eth1"))
);
Output:
0.0.0.0..=9.255.255.255 → (152.10.0.0, eth0)
10.0.0.0..=10.0.1.6 → (10.3.4.2, eth1)
10.0.1.7..=10.0.1.15 → (10.1.1.0, eth2)
10.0.1.16..=10.255.255.255 → (10.3.4.2, eth1)
11.0.0.0..=255.255.255.255 → (152.10.0.0, eth0)
Example 3: Biology
In biology, suppose we want to find the intron regions of a gene but we are given only the transcription region and the exon regions.
We create a RangeSetBlaze
for the transcription region and a RangeSetBlaze
for all the exon regions.
Then we take the difference between the transcription region and exon regions to find the intron regions.
use range_set_blaze::prelude::*;
let line = "chr15 29370 37380 29370,32358,36715 30817,32561,37380";
// split the line on white space
let mut iter = line.split_whitespace();
let chrom = iter.next().unwrap();
// Parse the start and end of the transcription region into a RangeSetBlaze
let trans_start: i32 = iter.next().unwrap().parse().unwrap();
let trans_end: i32 = iter.next().unwrap().parse().unwrap();
let trans = RangeSetBlaze::from_iter([trans_start..=trans_end]);
assert_eq!(trans, RangeSetBlaze::from_iter([29370..=37380]));
// Parse the start and end of the exons into a RangeSetBlaze
let exon_starts = iter.next().unwrap().split(',').map(|s| s.parse::<i32>());
let exon_ends = iter.next().unwrap().split(',').map(|s| s.parse::<i32>());
let exon_ranges = exon_starts
.zip(exon_ends)
.map(|(s, e)| s.unwrap()..=e.unwrap());
let exons = RangeSetBlaze::from_iter(exon_ranges);
assert_eq!(exons, RangeSetBlaze::from_iter([29370..=30817, 32358..=32561, 36715..=37380]));
// Use 'set difference' to find the introns
let intron = trans - exons;
assert_eq!(intron, RangeSetBlaze::from_iter([30818..=32357, 32562..=36714]));
for range in intron.ranges() {
let (start, end) = range.into_inner();
println!("{chrom}\t{start}\t{end}");
}
Dependencies
~1MB
~15K SLoC