1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959
//! Collection of fundamental traits and types to represent decision diagrams
//!
//! # Overview
//!
//! One of the most central traits is [`Manager`]. The manager is responsible
//! for storing the nodes of a decision diagram ([`InnerNode`]s and terminal
//! nodes) and provides [`Edge`]s to identify them.
//!
//! From the user's perspective, [`Function`][function::Function] is very
//! important. A function is some kind of external reference to a node and is
//! the basis for assigning semantics to nodes and providing operations such as
//! applying connectives of boolean logic.
#![warn(missing_docs)]
#![deny(unsafe_op_in_unsafe_fn)]
#![allow(clippy::double_must_use)]
// Explicitly writing out `'id` lifetimes possibly makes some code easier to
// read.
#![allow(clippy::needless_lifetimes)]
// `match` syntax may be easier to read
#![allow(clippy::manual_map)]
use std::borrow::Borrow;
use std::hash::Hash;
use util::AllocResult;
use util::Borrowed;
use util::DropWith;
use util::NodeSet;
pub mod function;
pub mod util;
/// Manager reference
///
/// The methods of this trait synchronize accesses to the manager: In a
/// concurrent setting, a manager has some kind of read/write lock, and
/// [`Self::with_manager_shared()`] / [`Self::with_manager_exclusive()`] acquire
/// this lock accordingly. In a sequential implementation, a
/// [`RefCell`][std::cell::RefCell] or the like may be used instead of lock.
pub trait ManagerRef: Clone + Eq + Hash + for<'a, 'id> From<&'a Self::Manager<'id>> {
/// Type of the associated manager
///
/// For more details on why this type is generic over `'id`, see the
/// documentation of [`Function::Manager`][function::Function::Manager].
type Manager<'id>: Manager;
/// Obtain a shared manager reference
///
/// Locking behavior: acquires the manager's lock for shared access.
fn with_manager_shared<F, T>(&self, f: F) -> T
where
F: for<'id> FnOnce(&Self::Manager<'id>) -> T;
/// Obtain an exclusive manager reference
///
/// Locking behavior: acquires the manager's lock for exclusive access.
fn with_manager_exclusive<F, T>(&self, f: F) -> T
where
F: for<'id> FnOnce(&mut Self::Manager<'id>) -> T;
}
/// Reduction rules for decision diagrams
///
/// This trait is intended to be implemented on a zero-sized type. Refer to
/// [`DiagramRules::reduce()`] for an example implementation.
pub trait DiagramRules<E: Edge, N: InnerNode<E>, T> {
/// Iterator created by [`DiagramRules::cofactors()`]
type Cofactors<'a>: Iterator<Item = Borrowed<'a, E>>
where
E: 'a,
N: 'a;
/// Apply the reduction rule(s)
///
/// Besides uniqueness of nodes (there are no two nodes with the same
/// children at the same level), decision diagrams typically impose some
/// other reduction rules. The former is provided by the [`Manager`] /
/// [`LevelView`]s, the latter is implemented here.
///
/// The implementation is responsible for consuming the entire `children`
/// iterator and dropping unused edges.
///
/// # Example implementation
///
/// In binary decision diagrams (BDDs), there are no nodes with equal
/// children. An implementation might look like this:
///
/// ```
/// # use oxidd_core::{*, util::BorrowedEdgeIter};
/// struct BDDRules;
/// impl<E: Edge, N: InnerNode<E>, T> DiagramRules<E, N, T> for BDDRules {
/// type Cofactors<'a> = N::ChildrenIter<'a> where N: 'a, E: 'a;
///
/// fn reduce<M: Manager<Edge = E, InnerNode = N, Terminal = T>>(
/// manager: &M,
/// level: LevelNo,
/// children: impl IntoIterator<Item = E>,
/// ) -> ReducedOrNew<E, N> {
/// let mut it = children.into_iter();
/// let f0 = it.next().unwrap();
/// let f1 = it.next().unwrap();
/// debug_assert!(it.next().is_none());
///
/// if f0 == f1 {
/// manager.drop_edge(f1);
/// ReducedOrNew::Reduced(f0)
/// } else {
/// ReducedOrNew::New(InnerNode::new(level, [f0, f1]), Default::default())
/// }
/// }
///
/// fn cofactors(_tag: E::Tag, node: &N) -> Self::Cofactors<'_> {
/// node.children()
/// }
/// }
/// ```
///
/// Note that we assume no complemented edges, hence the cofactor iterator
/// is just `node.children()`.
///
/// The implementation assumes that there are no panics, otherwise it would
/// leak some edges. It might be a bit better to use
/// [`EdgeDropGuard`][util::EdgeDropGuard]s, but this would make the code
/// more clumsy, and our assumption is usually fair enough.
fn reduce<M: Manager<Edge = E, InnerNode = N, Terminal = T>>(
manager: &M,
level: LevelNo,
children: impl IntoIterator<Item = E>,
) -> ReducedOrNew<E, N>;
/// Get the cofactors of `node` assuming an incoming edge with `tag`
///
/// In some diagram types, this is the same as [`InnerNode::children()`].
/// However, in a binary decision diagram with complement edges, we need to
/// respect the tag of the incoming edge: If the incoming edge is
/// complemented, then we need to complement the outgoing edges as well.
fn cofactors(tag: E::Tag, node: &N) -> Self::Cofactors<'_>;
/// Get the `n`-th cofactor of `node` assuming an incoming edge with `tag`
///
/// This is equivalent to `Self::cofactors(tag, node).nth(n).unwrap()`.
#[inline]
fn cofactor(tag: E::Tag, node: &N, n: usize) -> Borrowed<E> {
Self::cofactors(tag, node).nth(n).expect("out of range")
}
}
/// Result of the attempt to create a new node
///
/// Before actually creating a new node, reduction rules should be applied
/// (see [`DiagramRules::reduce()`]). If a reduction was applied, then
/// [`DiagramRules::reduce()`] returns the `Reduced` variant, otherwise the
/// `New` variant.
pub enum ReducedOrNew<E: Edge, N: InnerNode<E>> {
/// A reduction rule was applied
Reduced(E),
/// The node is new. After inserting it into the manager, the edge should be
/// tagged with the given tag.
New(N, E::Tag),
}
impl<E: Edge, N: InnerNode<E>> ReducedOrNew<E, N> {
/// Insert `self` into `manager` and `unique_table` at the given `level` if
/// it is `New`, otherwise return the `Reduced` edge.
///
/// `level` must agree with the level used for creating the node, and must
/// be strictly above (i.e. less than) the children's levels.
#[must_use]
#[inline(always)]
pub fn then_insert<M>(self, manager: &M, level: LevelNo) -> AllocResult<E>
where
M: Manager<InnerNode = N, Edge = E>,
{
match self {
ReducedOrNew::Reduced(e) => Ok(e),
ReducedOrNew::New(node, tag) => {
debug_assert_ne!(level, LevelNo::MAX);
debug_assert!(node.check_level(|l| l == level));
debug_assert!(node.children().all(|c| {
if let Node::Inner(node) = manager.get_node(&*c) {
node.check_level(|l| level < l)
} else {
true
}
}));
let edge = manager.level(level).get_or_insert(node)?;
Ok(edge.with_tag_owned(tag))
}
}
}
}
/// Node in a decision diagram
///
/// [`Eq`] and [`Hash`] should consider the children only, in particular no
/// level information. This means that if `Self` implements [`HasLevel`],
/// [`HasLevel::set_level()`] may be called while the node is present in a
/// [`LevelView`]. This is not the case for [`InnerNode::set_child()`]: The user
/// must remove the node from the [`LevelView`] before setting the children (and
/// re-insert it afterwards).
#[must_use]
pub trait InnerNode<E: Edge>: Sized + Eq + Hash + DropWith<E> {
/// The node's arity (upper bound)
const ARITY: usize;
/// Iterator over children of an inner node
type ChildrenIter<'a>: ExactSizeIterator<Item = Borrowed<'a, E>>
where
Self: 'a,
E: 'a;
/// Create a new node
///
/// Note that this does not apply any reduction rules. A node type that does
/// not store levels internally (does not implement [`HasLevel`]) may simply
/// ignore the `level` parameter.
///
/// Panics if `children`'s length does not match the node's requirements
/// (typically, the length should be [`Self::ARITY`], but some node types
/// may deviate from that).
#[must_use]
fn new(level: LevelNo, children: impl IntoIterator<Item = E>) -> Self;
/// Returns the result of `check` applied to the node's level in case this
/// node type stores levels, otherwise returns `true`.
///
/// Use [`HasLevel::level()`] if you require your nodes to store the level
/// number and want to get the level number.
fn check_level(&self, check: impl FnOnce(LevelNo) -> bool) -> bool;
/// Get the children of this node as an iterator
#[must_use]
fn children(&self) -> Self::ChildrenIter<'_>;
/// Get the `n`-th child of this node
fn child(&self, n: usize) -> Borrowed<E>;
/// Set the `n`-th child of this node
///
/// Returns the previous `n`-th child.
///
/// Note that this function may also change the node's hash value etc., so
/// in case the node is stored in a hash table ([`LevelView`]), it needs to
/// be removed before calling this method.
///
/// Panics if the node does not have an `n`-th child.
///
/// # Safety
///
/// The caller must have exclusive access to the node. In the first place,
/// this is granted by acquiring an exclusive manager lock
/// ([`Function::with_manager_exclusive()`][function::Function::with_manager_exclusive] or
/// [`ManagerRef::with_manager_exclusive()`]). However, exclusive access to
/// some nodes may be delegated to other threads (which is the reason why we
/// only require a shared and not a mutable manager reference). Furthermore,
/// there must not be a borrowed child (obtained via
/// [`InnerNode::children()`]).
#[must_use = "call `Manager::drop_edge()` if you don't need the previous edge"]
unsafe fn set_child(&self, n: usize, child: E) -> E;
/// Get the node's reference count
///
/// This ignores all internal references used by the manager
/// implementation.
#[must_use]
fn ref_count(&self) -> usize;
}
/// Level number type
///
/// Levels with lower numbers are located at the top of the diagram, higher
/// numbers at the bottom. [`LevelNo::MAX`] is reserved for terminal nodes.
/// Adjacent levels have adjacent level numbers.
pub type LevelNo = u32;
/// Atomic version of [`LevelNo`]
pub type AtomicLevelNo = std::sync::atomic::AtomicU32;
/// Trait for nodes that have a level
///
/// Quasi-reduced BDDs, for instance, do not need the level information stored
/// in their nodes, so there is no need to implement this trait.
///
/// Implementors should also implement [`InnerNode`]. If `Self` is [`Sync`],
/// then the level number should be implemented using [`AtomicLevelNo`]. In
/// particular, concurrent calls to [`Self::level()`] and [`Self::set_level()`]
/// must not lead to data races.
///
/// # Safety
///
/// 1. A node in a [`LevelView`] with level number L has level number L (i.e.
/// `self.level()` returns L).
/// 2. [`InnerNode::check_level()`] with a check `c` must return
/// `c(self.level())`.
///
/// These conditions are crucial to enable concurrent level swaps as part of
/// reordering (see the `oxidd-reorder` crate): The algorithm iterates over the
/// nodes at the upper level and needs to know whether a node is part of the
/// level directly below it. The procedure only has access to nodes at these two
/// levels, hence it must rely on the level information for SAFETY.
///
/// Note that invariant 1 may be broken by [`HasLevel::set_level()`] and
/// [`LevelView::swap()`]; the caller of these functions is responsible to
/// re-establish the invariant.
pub unsafe trait HasLevel {
/// Get the node's level
#[must_use]
fn level(&self) -> LevelNo;
/// Set the node's level
///
/// # Safety
///
/// This method may break SAFETY invariant 1 of the [`HasLevel`] trait: A
/// node in a [`LevelView`] with level number L has level number L (i.e.
/// `self.level()` returns L). The caller is responsible to re-establish the
/// invariant. (Make sure that the calling code is exception-safe!)
unsafe fn set_level(&self, level: LevelNo);
}
/// Node identifier returned by [`Edge::node_id()`]
///
/// The most significant bit is reserved, i.e. `NodeID`s must (normally) be less
/// than `1 << (NodeID::BITS - 1)`
pub type NodeID = usize;
/// Edge in a decision diagram
///
/// Generally speaking, an edge is the directed connection between two nodes,
/// with some kind of annotation. In a binary decision diagram with complement
/// edges, there are the "true" edges as well as the normal and the complemented
/// "false" edges. When considering a single edge, it usually is not so
/// important whether this edge is a "true" or "false" edge; we can simply have
/// distinguishable "slots" in the source node. In contrast, whether an edge is
/// complemented or not has a much greater influence on the meaning of an edge.
///
/// In a decision diagram, obtaining the source of an edge is usually not so
/// important, hence this trait does not provide such functionality. This means
/// that an edge can (more or less) be implemented as a (tagged) pointer to the
/// target node.
///
/// This trait requires implementors to also implement [`Ord`]. Edges should be
/// considered equal if and only if they point to the same node with the same
/// tag. Besides that, there are no further restrictions. The order implemented
/// for [`Ord`] can be an arbitrary, fixed order (e.g. using addresses of the
/// nodes). The main idea of this is to give the set `{f, g}` of two edges `f`
/// and `g` a unique tuple/array representation.
#[must_use]
pub trait Edge: Sized + Ord + Hash {
/// Edge tag
///
/// For instance, an edge tag can be used to mark an edge as complemented.
///
/// If the decision diagram does not need any special edge tags, this can
/// simply be `()`.
type Tag: Tag;
/// Turn a reference into a borrowed handle
fn borrowed(&self) -> Borrowed<Self>;
/// Get a version of this [`Edge`] with the given tag
///
/// Refer to [`Borrowed::edge_with_tag()`] for cases in which this method
/// cannot be used due to lifetime restrictions.
fn with_tag(&self, tag: Self::Tag) -> Borrowed<Self>;
/// Get a version of this [`Edge`] with the given tag
fn with_tag_owned(self, tag: Self::Tag) -> Self;
/// Get the [`Tag`] of this [`Edge`]
fn tag(&self) -> Self::Tag;
/// Returns some unique identifier for the node, e.g. for I/O purposes
fn node_id(&self) -> NodeID;
}
/// Trait for tags that can be attached to pointers (e.g. edges, see
/// [`Edge::Tag`])
///
/// This trait is automatically implemented for types that implement [`Eq`],
/// [`Default`], and [`Countable`].
pub trait Tag: Sized + Copy + Eq + Default + Countable {}
impl<T: Eq + Default + Countable> Tag for T {}
/// Types whose values can be counted, i.e. there is a bijection between the
/// values of the type and the range `0..=MAX_VALUE`.
///
/// This is mainly intended to be implemented on `enum`s. In most cases, you can
/// simply derive it.
///
/// # Safety
///
/// [`Countable::as_usize()`] and [`Countable::from_usize()`] must form a
/// bijection between the values of type `Self` and `0..=MAX_VALUE`, more
/// formally: For all `t: Self` it must hold that
/// `Self::from_usize(t.as_usize()) == t`.
/// For all `u: usize` such that `t.as_usize() == u` for some `t: Self`,
/// `Self::from_usize(u).as_usize() == u` must be true. Furthermore,
/// `t.as_usize() <= Self::MAX_VALUE` must hold.
///
/// This trait is marked unsafe because violating any invariant of the above may
/// e.g. result in out-of-bounds accesses.
pub unsafe trait Countable: Sized + Copy {
/// Maximum value returned by `self.as_usize()`.
const MAX_VALUE: usize;
/// Convert `self` into a `usize`.
#[must_use]
fn as_usize(self) -> usize;
/// Convert the given `value` into an instance of `Self`.
///
/// May panic if an invalid value is passed, or return some default value.
#[must_use]
fn from_usize(value: usize) -> Self;
}
// SAFETY: There is a bijection for all values of type `()` and `0..=MAX_VALUE`.
unsafe impl Countable for () {
const MAX_VALUE: usize = 0;
#[inline]
fn as_usize(self) -> usize {
0
}
#[inline]
fn from_usize(_value: usize) -> Self {}
}
// SAFETY: There is a bijection for all values of type `bool` and `0..=1`.
unsafe impl Countable for bool {
const MAX_VALUE: usize = 1;
#[inline]
fn as_usize(self) -> usize {
self as usize
}
#[inline]
fn from_usize(value: usize) -> Self {
value != 0
}
}
/// Either an inner or a terminal node
pub enum Node<'a, M: Manager + 'a> {
#[allow(missing_docs)]
Inner(&'a M::InnerNode),
#[allow(missing_docs)]
Terminal(M::TerminalRef<'a>),
}
impl<'a, M: Manager + 'a> Clone for Node<'a, M> {
fn clone(&self) -> Self {
*self
}
}
impl<'a, M: Manager + 'a> Copy for Node<'a, M> {}
impl<'a, M: Manager> Node<'a, M> {
/// Get the reference count of the underlying node
#[must_use]
#[inline]
pub fn ref_count(self) -> usize {
match self {
Node::Inner(node) => node.ref_count(),
Node::Terminal(_) => usize::MAX, /* TODO: should we support concrete reference counts
* for terminals? */
}
}
}
impl<'a, M: Manager> Node<'a, M>
where
M::InnerNode: HasLevel,
{
/// Get the level of the underlying node (`LevelNo::MAX` for terminals)
#[must_use]
#[inline]
pub fn level(self) -> LevelNo {
match self {
Node::Inner(node) => node.level(),
Node::Terminal(_) => LevelNo::MAX,
}
}
}
impl<'a, M: Manager> Node<'a, M> {
/// Unwrap the inner node
///
/// Panics if `self` is a terminal.
#[must_use]
#[track_caller]
#[inline]
pub fn unwrap_inner(self) -> &'a M::InnerNode {
match self {
Node::Inner(node) => node,
Node::Terminal(_) => panic!("expected an inner node, but this is a terminal"),
}
}
/// Unwrap the inner node
///
/// Panics with `msg` if `self` is a terminal.
#[must_use]
#[track_caller]
#[inline]
pub fn expect_inner(self, msg: &str) -> &'a M::InnerNode {
match self {
Node::Inner(node) => node,
Node::Terminal(_) => panic!("{}", msg),
}
}
/// Returns `true` if this is an inner node
#[inline]
pub fn is_inner(self) -> bool {
match self {
Node::Inner(_) => true,
Node::Terminal(_) => false,
}
}
/// Unwrap the terminal
///
/// Panics if `self` is an inner node
#[must_use]
#[track_caller]
#[inline]
pub fn unwrap_terminal(&self) -> &M::Terminal {
match self {
Node::Inner(_) => panic!("expected a terminal node, but this is an inner node"),
Node::Terminal(ref t) => t.borrow(),
}
}
/// Unwrap the terminal
///
/// Panics with `msg` if `self` is an inner node
#[must_use]
#[track_caller]
#[inline]
pub fn expect_terminal(&self, msg: &str) -> &M::Terminal {
match self {
Node::Inner(_) => panic!("{}", msg),
Node::Terminal(ref t) => t.borrow(),
}
}
/// Returns `true` if this is any terminal node
#[inline]
pub fn is_any_terminal(self) -> bool {
match self {
Node::Inner(_) => false,
Node::Terminal(_) => true,
}
}
/// Returns `true` if this is the given `terminal`
#[inline]
pub fn is_terminal(self, terminal: &M::Terminal) -> bool {
match self {
Node::Inner(_) => false,
Node::Terminal(t) => t.borrow() == terminal,
}
}
}
/// Manager for nodes in a decision diagram
///
/// In the basic formulation, a decision diagram is a directed acyclic graph
/// where all inner nodes are associated with a level, and each level in turn is
/// associated with a variable. A decision diagram can represent functions
/// Dⁿ → T, where n is the number of variables. Every inner node has |D|
/// outgoing edges, pointing to child nodes. The semantics of an inner node
/// depends on the value of its associated variable. If the variable has
/// value d ∈ D, then the node's semantics is the semantics of the child
/// referenced by the edge corresponding to d. Every terminal node is associated
/// with a value t ∈ T, and the node's semantics is just that value t. Some
/// kinds of decision diagrams deviate from this formulation in one way or the
/// other, but still fit into the framework.
///
/// The manager's responsibility is to store nodes and provide edges to identify
/// them. Internally, it has a unique table to ensure uniqueness of nodes
/// (typically, there should be no two nodes with the same children at the same
/// level). The manager supports some kind of garbage collection: If there are
/// no more edges pointing to a node, the node does not necessarily have to be
/// deleted immediately. It may well be that the node revives. But from time to
/// time it may make sense to remove all currently dead nodes. The manager also
/// supports a levelized view on the diagram (via [`LevelView`]s).
///
/// Note that we are way more concerned about levels than about variables here.
/// This is because variables can easily be handled externally. For many kinds
/// of diagrams, we can just use the function representation of a variable and
/// get the mapping between variables and levels "for free". This is especially
/// nice as there are reordering operations which change the mapping between
/// levels and variables but implicitly update the function representations
/// accordingly.
///
/// # Safety
///
/// The implementation must ensure that every inner node only refers to nodes
/// stored in this manager.
///
/// Every level view is associated with a manager and a level number.
/// [`Manager::level()`] must always return the level view associated to this
/// manager with the given level number.
///
/// If [`Manager::InnerNode`] implements [`HasLevel`], then the implementation
/// must ensure that [`HasLevel::level()`] returns level number L for all nodes
/// at the level view for L. Specifically this means that
/// [`Manager::add_level()`] must check the newly created node. The invariant
/// may only be broken by unsafe code (e.g. via [`HasLevel::set_level()`] and
/// [`LevelView::swap()`]) and must be re-established when leaving the unsafe
/// scope (be aware of panics!).
pub unsafe trait Manager: Sized {
/// Type of edge
type Edge: Edge<Tag = Self::EdgeTag>;
/// Type of edge tags
type EdgeTag: Tag;
/// Type of inner nodes
type InnerNode: InnerNode<Self::Edge>;
/// Type of terminals
type Terminal: Eq + Hash;
/// References to [`Self::Terminal`]s
///
/// Should either be a `&'a Self::Terminal` or just `Self::Terminal`. The
/// latter is useful for "static terminal managers" which don't actually
/// store terminal nodes but can map between edges and terminal nodes on the
/// fly. In this case, it would be hard to hand out node references.
type TerminalRef<'a>: Borrow<Self::Terminal> + Copy
where
Self: 'a;
/// Diagram rules, see [`DiagramRules`] for more details
type Rules: DiagramRules<Self::Edge, Self::InnerNode, Self::Terminal>;
/// Iterator over all terminals
///
/// The actual items are edges pointing to terminals since this allows us to
/// get a [`NodeID`].
type TerminalIterator<'a>: Iterator<Item = Self::Edge>
where
Self: 'a;
/// Node set type, possibly more efficient than a `HashSet<NodeID>`
type NodeSet: NodeSet<Self::Edge>;
/// A view on a single level of the unique table.
type LevelView<'a>: LevelView<Self::Edge, Self::InnerNode>
where
Self: 'a;
/// Iterator over levels
type LevelIterator<'a>: DoubleEndedIterator<Item = Self::LevelView<'a>> + ExactSizeIterator
where
Self: 'a;
/// Get a reference to the node to which `edge` points
#[must_use]
fn get_node(&self, edge: &Self::Edge) -> Node<Self>;
/// Clone `edge`
#[must_use]
fn clone_edge(&self, edge: &Self::Edge) -> Self::Edge;
/// Drop `edge`
fn drop_edge(&self, edge: Self::Edge);
/// Get the count of inner nodes
#[must_use]
fn num_inner_nodes(&self) -> usize;
/// Get the number of levels
#[must_use]
fn num_levels(&self) -> LevelNo;
/// Add a level with the given node to the unique table.
///
/// To avoid unnecessary (un-)locking, this function takes a closure `f`
/// that creates a first node for the new level.
///
/// Returns an edge for the newly created node.
///
/// Panics if the new node's level does not match the provided level.
#[must_use]
fn add_level(&mut self, f: impl FnOnce(LevelNo) -> Self::InnerNode) -> AllocResult<Self::Edge>;
/// Get the level given by `no`
///
/// Implementations may or may not acquire a lock here.
///
/// Panics if `no >= self.num_levels()`.
#[must_use]
fn level(&self, no: LevelNo) -> Self::LevelView<'_>;
/// Iterate over the levels from top to bottom
#[must_use]
fn levels(&self) -> Self::LevelIterator<'_>;
/// Get an edge for the given terminal
///
/// Locking behavior: May acquire a lock for the internal terminal unique
/// table. In particular, this means that calling this function while
/// holding a terminal iterator ([`Manager::terminals()`]) may cause a
/// deadlock.
#[must_use]
fn get_terminal(&self, terminal: Self::Terminal) -> AllocResult<Self::Edge>;
/// Get the number of terminals
///
/// Should agree with the length of the iterator returned by
/// [`Manager::terminals()`].
///
/// Locking behavior: May acquire a lock for the internal terminal unique
/// table. In particular, this means that calling this function while
/// holding a terminal iterator ([`Manager::terminals()`]) may cause a
/// deadlock.
#[must_use]
fn num_terminals(&self) -> usize;
/// Iterator over all terminals
///
/// Locking behavior: May acquire a lock for the internal terminal unique
/// table.
#[must_use]
fn terminals(&self) -> Self::TerminalIterator<'_>;
/// Perform garbage collection
///
/// This method looks for nodes that are neither referenced by a
/// [`Function`][function::Function] nor another node and removes them. The
/// method works from top to bottom, so if a node is only referenced by
/// nodes that can be removed, this node will be removed as well.
///
/// Returns the number of nodes removed.
fn gc(&self) -> usize;
/// Prepare and postprocess a reordering operation. The reordering itself is
/// performed in `f`.
///
/// Returns the value returned by `f`.
fn reorder<T>(&mut self, f: impl FnOnce(&mut Self) -> T) -> T;
/// Get the count of reordering operations
///
/// This counter should monotonically increase to ensure that caches are
/// invalidated accordingly.
fn reorder_count(&self) -> u64;
}
/// View of a single level in the manager
///
/// # Safety
///
/// Each level view is associated with a [`Manager`] M and a [`LevelNo`] L. The
/// level view must ensure that all contained nodes and their descendants are
/// stored in M. The edges returned by [`LevelView::get()`] and
/// [`LevelView::get_or_insert()`] must reference nodes at this level.
/// [`LevelView::iter()`] must yield all edges to nodes at this level (it must
/// not hide some away).
///
/// [`LevelView::swap()`] conceptually removes all nodes from this level and
/// inserts them at the other level and vice versa.
pub unsafe trait LevelView<E: Edge, N: InnerNode<E>> {
/// Iterator over [`Edge`]s pointing to nodes at this level
type Iterator<'a>: Iterator<Item = &'a E>
where
Self: 'a,
E: 'a;
/// Taken level view, see [`LevelView::take()`]
type Taken: LevelView<E, N>;
/// Get the number of nodes on this level
#[must_use]
fn len(&self) -> usize;
/// Returns `true` iff this level contains nodes
#[must_use]
fn is_empty(&self) -> bool {
self.len() == 0
}
/// Get the level number of this level
#[must_use]
fn level_no(&self) -> LevelNo;
/// Reserve space for `additional` nodes on this level
fn reserve(&mut self, additional: usize);
/// Get the edge corresponding to the given node (if present)
#[must_use]
fn get(&self, node: &N) -> Option<&E>;
/// Insert the given edge into the unique table at this level, assuming that
/// the referenced node is already stored in the associated manager.
///
/// Returns `true` if the edge was inserted, `false` if it was already
/// present.
///
/// Panics if `edge`
/// - points to a terminal node,
/// - references a node from a different manager, or
/// - `N` implements [`HasLevel`] and `edge` references a node for which
/// [`HasLevel::level()`] returns a different level.
///
/// Furthermore, this function should panic if `edge` is tagged, but the
/// caller must not rely on that. An implementation may simply remove the
/// tag for optimization purposes.
fn insert(&mut self, edge: E) -> bool;
/// Get the edge corresponding to `level` and `node` if present, or insert
/// it.
///
/// Panics if
/// - the children of `node` are stored in a different manager, or
/// - `N` implements [`HasLevel`] and [`HasLevel::level(node)`] returns a
/// different level.
#[must_use]
fn get_or_insert(&mut self, node: N) -> AllocResult<E>;
/// Perform garbage collection on this level
///
/// # Safety
///
/// Must be called from inside the closure passed to [`Manager::reorder()`].
unsafe fn gc(&mut self);
/// Remove `node` from (this level of) the manager
///
/// Returns whether the value was present at this level.
///
/// # Safety
///
/// Must be called from inside the closure passed to [`Manager::reorder()`].
unsafe fn remove(&mut self, node: &N) -> bool;
/// Move all nodes from this level to the other level and vice versa.
///
/// # Safety
///
/// This method does not necessarily change the level returned by
/// [`HasLevel::level()`] for the nodes at this or the `other` level. The
/// caller must ensure a consistent state using calls to
/// [`HasLevel::set_level()`]. (Be aware of exception safety!)
unsafe fn swap(&mut self, other: &mut Self);
/// Iterate over all the edges at this level
#[must_use]
fn iter(&self) -> Self::Iterator<'_>;
/// Clear this level, returning a level view containing all the previous
/// edges.
#[must_use]
fn take(&mut self) -> Self::Taken;
}
/// Cache for the result of apply operations
///
/// This trait provides methods to add computation results to the apply cache
/// and to query the cache for these results. Just as every cache, the
/// implementation may decide to evict results from the cache.
pub trait ApplyCache<M: Manager, O: Copy>: DropWith<M::Edge> {
/// Get the result of `operation`, if cached
#[must_use]
fn get_with_numeric(
&self,
manager: &M,
operator: O,
operands: &[Borrowed<M::Edge>],
numeric_operands: &[u32],
) -> Option<M::Edge>;
/// Add the result of `operation` to this cache
///
/// An implementation is free to not cache any result. (This is why we use
/// `Borrowed<M::Edge>`, which in this case elides a few clone and drop
/// operations.) If the cache already contains a key equal to `operation`,
/// there is no need to update its value. (Again, we can elide clone and
/// drop operations.)
fn add_with_numeric(
&self,
manager: &M,
operator: O,
operands: &[Borrowed<M::Edge>],
numeric_operands: &[u32],
value: Borrowed<M::Edge>,
);
/// Shorthand for [`Self::get_with_numeric()`] without numeric operands
#[inline(always)]
#[must_use]
fn get(&self, manager: &M, operator: O, operands: &[Borrowed<M::Edge>]) -> Option<M::Edge> {
self.get_with_numeric(manager, operator, operands, &[])
}
/// Shorthand for [`Self::add_with_numeric()`] without numeric operands
#[inline(always)]
fn add(
&self,
manager: &M,
operator: O,
operands: &[Borrowed<M::Edge>],
value: Borrowed<M::Edge>,
) {
self.add_with_numeric(manager, operator, operands, &[], value)
}
/// Remove all entries from the cache
fn clear(&self, manager: &M);
}
/// Apply cache container
///
/// Intended to be implemented by [`Manager`]s such that generic implementations
/// of the recursive apply algorithm can simply require
/// `M: Manager + HasApplyCache<M, O>`, where `O` is the operator type.
pub trait HasApplyCache<M: Manager, O: Copy> {
/// The concrete apply cache type
type ApplyCache: ApplyCache<M, O>;
/// Get a shared reference to the contained apply cache
#[must_use]
fn apply_cache(&self) -> &Self::ApplyCache;
/// Get a mutable reference to the contained apply cache
#[must_use]
fn apply_cache_mut(&mut self) -> &mut Self::ApplyCache;
}
/// [`Manager`] that also has a thread pool
///
/// A manager having its own thread pool has the advantage that it may use
/// thread-local storage for its workers to pre-allocate some resources (e.g.
/// slots for nodes) and thereby reduce lock contention.
pub trait WorkerManager: Manager + Sync {
/// Get the current number of threads
fn current_num_threads(&self) -> usize;
/// Execute `op_a` and `op_b` in parallel
fn join<RA: Send, RB: Send>(
&self,
op_a: impl FnOnce() -> RA + Send,
op_b: impl FnOnce() -> RB + Send,
) -> (RA, RB);
/// Execute `op` on every worker in the thread pool
fn broadcast<R: Send>(&self, op: impl Fn(BroadcastContext) -> R + Sync) -> Vec<R>;
}
/// Context provided to workers by [`WorkerManager::broadcast()`]
#[derive(Clone, Copy, Debug)]
pub struct BroadcastContext {
/// Index of this worker (in range `0..num_threads`)
pub index: u32,
/// Number of threads receiving the broadcast
pub num_threads: u32,
}