Crates.io | graph_safe_compare |
lib.rs | graph_safe_compare |
version | 0.2.1 |
source | src |
created_at | 2022-01-28 04:53:42.834653 |
updated_at | 2022-06-19 21:27:44.547135 |
description | Equivalence predicate that can handle cyclic, shared, and very-deep graphs. |
homepage | |
repository | https://github.com/DerickEddington/graph_safe_compare |
max_upload_size | |
id | 522933 |
size | 210,344 |
Equivalence predicate that can handle cyclic, shared, and very-deep graphs. Implements the algorithm described in the paper Efficient Nondestructive Equality Checking for Trees and Graphs. Has enhancements to support recursion without using the call-stack to support graphs with great depth and to support multi-way comparison to support giving an ordering to graphs.
With Rust, it is common to #[derive(PartialEq)]
for types so that values can
be compared. However, such derived implementations cannot handle cyclic nor
very-deep inputs and will cause stack overflows when given them, and will
execute inefficiently when given inputs that have much shared structure.
This crate provides functions that are safe and efficient for general shapes of
graphs, that can be used as PartialEq
impl
ementations.
A chain where each pair of left
and right
edges of a My::Branch
reference
the same next Rc<My>
node. Without shared-structure detection, it would be
traversed like a perfect binary tree with 2^(depth+1)-2
recursions, but with
the shared-structure detection of this crate, it is traversed with only
2*depth
recursions.
use graph_safe_compare::{robust, utils::RefId, Node};
use std::rc::Rc;
use My::*;
#[derive(Eq)]
enum My {
Leaf { val: i32 },
Branch { left: Rc<Self>, right: Rc<Self> },
}
impl My {
fn new_degenerate_shared_structure(depth: usize) -> Self {
let next = Leaf { val: 1 };
(0..depth).fold(next, |next, _| {
let next = Rc::new(next);
Branch { left: Rc::clone(&next), right: next }
})
}
}
impl PartialEq for My {
fn eq(&self, other: &Self) -> bool { robust::equiv(self, other) }
}
impl Node for &My {
type Cmp = bool;
type Id = RefId<Self>;
type Index = usize;
fn id(&self) -> Self::Id { RefId(*self) }
fn get_edge(&self, index: &Self::Index) -> Option<Self> {
match (self, index) {
(Branch { left, .. }, 0) => Some(left),
(Branch { right, .. }, 1) => Some(right),
_ => None,
}
}
fn equiv_modulo_edges(&self, other: &Self) -> Self::Cmp {
match (self, other) {
(Leaf { val: v1 }, Leaf { val: v2 }) => v1 == v2,
(Branch { .. }, Branch { .. }) => true,
_ => false,
}
}
}
fn main() {
// A depth that is fast with the `robust` variant of this crate, but that
// would be infeasible and either take forever, due to the great degree of
// shared structure, or cause stack overflow, due to the great depth, if
// another variant were used.
let depth = 1_000_000;
let a = My::new_degenerate_shared_structure(depth);
let b = My::new_degenerate_shared_structure(depth);
assert!(a == b);
// Prevent running the drop destructor, to avoid the stack overflow it would
// cause due to the great depth. (A real implementation would need a `Drop`
// designed to properly avoid that.)
std::mem::forget((a, b));
}
A very-simple cycle. Without shared-structure detection, it would infinitely recurse and overflow the stack, but with the shared-structure detection of this crate, it does not and it completes efficiently.
The types involved are more complicated, to be able to construct cycles.
use graph_safe_compare::{cycle_safe, utils::RefId, Node};
use std::{cell::{Ref, RefCell}, rc::Rc};
use Inner::*;
#[derive(Clone)]
struct My(Rc<RefCell<Inner>>);
enum Inner {
Leaf { val: i32 },
Branch { left: My, right: My },
}
impl My {
fn leaf(val: i32) -> Self { My(Rc::new(RefCell::new(Leaf { val }))) }
fn set_branch(&self, left: My, right: My) {
*self.0.borrow_mut() = Branch { left, right };
}
fn new_cyclic_structure() -> Self {
let cyc = My::leaf(0);
cyc.set_branch(My::leaf(1), cyc.clone());
cyc
}
fn inner(&self) -> Ref<'_, Inner> { self.0.borrow() }
}
impl PartialEq for My {
fn eq(&self, other: &Self) -> bool {
cycle_safe::equiv(self.clone(), other.clone())
}
}
impl Eq for My {}
impl Node for My {
type Cmp = bool;
type Id = RefId<Rc<RefCell<Inner>>>;
type Index = u32;
fn id(&self) -> Self::Id { RefId(Rc::clone(&self.0)) }
fn get_edge(&self, index: &Self::Index) -> Option<Self> {
match (index, &*self.inner()) {
(0, Branch { left, .. }) => Some(left.clone()),
(1, Branch { right, .. }) => Some(right.clone()),
_ => None,
}
}
fn equiv_modulo_edges(&self, other: &Self) -> Self::Cmp {
match (&*self.inner(), &*other.inner()) {
(Leaf { val: v1 }, Leaf { val: v2 }) => v1 == v2,
(Branch { .. }, Branch { .. }) => true,
_ => false,
}
}
}
fn main() {
let a = My::new_cyclic_structure();
let b = My::new_cyclic_structure();
assert!(a == b);
// (A real implementation would need to break the cycles, to allow them to
// be dropped.)
}
use graph_safe_compare::{basic, utils::RefId, Node};
use std::cmp::Ordering;
#[derive(Eq)]
struct My(Vec<i32>);
impl Ord for My {
fn cmp(&self, other: &Self) -> Ordering { basic::equiv(self, other) }
}
impl PartialOrd for My {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl PartialEq for My {
fn eq(&self, other: &Self) -> bool { self.cmp(other).is_eq() }
}
impl Node for &My {
type Cmp = Ordering;
type Id = RefId<Self>;
type Index = u8;
fn id(&self) -> Self::Id { RefId(*self) }
fn get_edge(&self, _: &Self::Index) -> Option<Self> { None }
fn equiv_modulo_edges(&self, other: &Self) -> Self::Cmp {
self.0.iter().cmp(other.0.iter())
}
}
fn main() {
let mut array = [My(vec![1, 2, 3]), My(vec![3]), My(vec![1, 2])];
array.sort();
assert!(array == [My(vec![1, 2]), My(vec![1, 2, 3]), My(vec![3])])
}
No unsafe
code.
No panics.
Very minimal dependencies.
Organized into modules that provide variations of the algorithm for different
possible shapes of graphs. Applications with graph shapes that are limited can
benefit from using a variation that only supports what is needed and avoids the
overhead that other variations involve. E.g. when only shallow cyclic shapes
are possible, the functions provided by the cycle_safe
module are sufficient,
or e.g. when only acyclic deep shapes are possible, the deep_safe
module is
sufficient, or e.g. when deep cyclic shapes are possible then the robust
module can be used.
A generic
module exposes the generic API (which the other modules build on)
that enables customizing the parameters (both types and constants) of the
algorithm to make custom variations.
The generic API supports fallible Result
s with custom error types, which can
be used to achieve custom limiting, e.g. of memory-usage or execution-time.
no_std
supportWhile the support for cyclic and deep graphs requires dynamic memory allocations
internally, this can be provided without the std
or alloc
crates. The
generic API of this crate is designed for custom provision of the needed dynamic
data structures. When built without its "std"
feature, this crate is
no_std
.
The source-code has many doc comments, which are rendered as the API documentation.
View online at: http://docs.rs/graph_safe_compare
Or, you can generate them yourself and view locally by doing:
cargo doc --open
There are unit tests and integration tests, which can be run by doing:
cargo test --workspace
The ignored
tests can be run to demonstrate the limitations of variations that
do not support some shapes, and are expected to either cause stack overflow
crashes or to take a very long time.
There is a package that tests using the crate as no_std
, which can be run by
doing:
cd test_no_std
cargo build --features graph_safe_compare/wyrng
There are benchmarks of the variations, that use a node type with very little overhead, which can be run by doing:
cargo +nightly bench --profile bench-max-optim