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llvm-mirror/include/llvm/Support/SuffixTree.h
Barry Revzin 2fc9f32ca3 Make LLVM build in C++20 mode
Part of the <=> changes in C++20 make certain patterns of writing equality
operators ambiguous with themselves (sorry!).
This patch goes through and adjusts all the comparison operators such that
they should work in both C++17 and C++20 modes. It also makes two other small
C++20-specific changes (adding a constructor to a type that cases to be an
aggregate, and adding casts from u8 literals which no longer have type
const char*).

There were four categories of errors that this review fixes.
Here are canonical examples of them, ordered from most to least common:

// 1) Missing const
namespace missing_const {
    struct A {
    #ifndef FIXED
        bool operator==(A const&);
    #else
        bool operator==(A const&) const;
    #endif
    };

    bool a = A{} == A{}; // error
}

// 2) Type mismatch on CRTP
namespace crtp_mismatch {
    template <typename Derived>
    struct Base {
    #ifndef FIXED
        bool operator==(Derived const&) const;
    #else
        // in one case changed to taking Base const&
        friend bool operator==(Derived const&, Derived const&);
    #endif
    };

    struct D : Base<D> { };

    bool b = D{} == D{}; // error
}

// 3) iterator/const_iterator with only mixed comparison
namespace iter_const_iter {
    template <bool Const>
    struct iterator {
        using const_iterator = iterator<true>;

        iterator();

        template <bool B, std::enable_if_t<(Const && !B), int> = 0>
        iterator(iterator<B> const&);

    #ifndef FIXED
        bool operator==(const_iterator const&) const;
    #else
        friend bool operator==(iterator const&, iterator const&);
    #endif
    };

    bool c = iterator<false>{} == iterator<false>{} // error
          || iterator<false>{} == iterator<true>{}
          || iterator<true>{} == iterator<false>{}
          || iterator<true>{} == iterator<true>{};
}

// 4) Same-type comparison but only have mixed-type operator
namespace ambiguous_choice {
    enum Color { Red };

    struct C {
        C();
        C(Color);
        operator Color() const;
        bool operator==(Color) const;
        friend bool operator==(C, C);
    };

    bool c = C{} == C{}; // error
    bool d = C{} == Red;
}

Differential revision: https://reviews.llvm.org/D78938
2020-12-17 10:44:10 +00:00

351 lines
13 KiB
C++

//===- llvm/ADT/SuffixTree.h - Tree for substrings --------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Suffix Tree class and Suffix Tree Node struct.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_SUPPORT_SUFFIXTREE_H
#define LLVM_SUPPORT_SUFFIXTREE_H
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/Support/Allocator.h"
#include <vector>
namespace llvm {
/// Represents an undefined index in the suffix tree.
const unsigned EmptyIdx = -1;
/// A node in a suffix tree which represents a substring or suffix.
///
/// Each node has either no children or at least two children, with the root
/// being a exception in the empty tree.
///
/// Children are represented as a map between unsigned integers and nodes. If
/// a node N has a child M on unsigned integer k, then the mapping represented
/// by N is a proper prefix of the mapping represented by M. Note that this,
/// although similar to a trie is somewhat different: each node stores a full
/// substring of the full mapping rather than a single character state.
///
/// Each internal node contains a pointer to the internal node representing
/// the same string, but with the first character chopped off. This is stored
/// in \p Link. Each leaf node stores the start index of its respective
/// suffix in \p SuffixIdx.
struct SuffixTreeNode {
/// The children of this node.
///
/// A child existing on an unsigned integer implies that from the mapping
/// represented by the current node, there is a way to reach another
/// mapping by tacking that character on the end of the current string.
llvm::DenseMap<unsigned, SuffixTreeNode *> Children;
/// The start index of this node's substring in the main string.
unsigned StartIdx = EmptyIdx;
/// The end index of this node's substring in the main string.
///
/// Every leaf node must have its \p EndIdx incremented at the end of every
/// step in the construction algorithm. To avoid having to update O(N)
/// nodes individually at the end of every step, the end index is stored
/// as a pointer.
unsigned *EndIdx = nullptr;
/// For leaves, the start index of the suffix represented by this node.
///
/// For all other nodes, this is ignored.
unsigned SuffixIdx = EmptyIdx;
/// For internal nodes, a pointer to the internal node representing
/// the same sequence with the first character chopped off.
///
/// This acts as a shortcut in Ukkonen's algorithm. One of the things that
/// Ukkonen's algorithm does to achieve linear-time construction is
/// keep track of which node the next insert should be at. This makes each
/// insert O(1), and there are a total of O(N) inserts. The suffix link
/// helps with inserting children of internal nodes.
///
/// Say we add a child to an internal node with associated mapping S. The
/// next insertion must be at the node representing S - its first character.
/// This is given by the way that we iteratively build the tree in Ukkonen's
/// algorithm. The main idea is to look at the suffixes of each prefix in the
/// string, starting with the longest suffix of the prefix, and ending with
/// the shortest. Therefore, if we keep pointers between such nodes, we can
/// move to the next insertion point in O(1) time. If we don't, then we'd
/// have to query from the root, which takes O(N) time. This would make the
/// construction algorithm O(N^2) rather than O(N).
SuffixTreeNode *Link = nullptr;
/// The length of the string formed by concatenating the edge labels from the
/// root to this node.
unsigned ConcatLen = 0;
/// Returns true if this node is a leaf.
bool isLeaf() const { return SuffixIdx != EmptyIdx; }
/// Returns true if this node is the root of its owning \p SuffixTree.
bool isRoot() const { return StartIdx == EmptyIdx; }
/// Return the number of elements in the substring associated with this node.
size_t size() const {
// Is it the root? If so, it's the empty string so return 0.
if (isRoot())
return 0;
assert(*EndIdx != EmptyIdx && "EndIdx is undefined!");
// Size = the number of elements in the string.
// For example, [0 1 2 3] has length 4, not 3. 3-0 = 3, so we have 3-0+1.
return *EndIdx - StartIdx + 1;
}
SuffixTreeNode(unsigned StartIdx, unsigned *EndIdx, SuffixTreeNode *Link)
: StartIdx(StartIdx), EndIdx(EndIdx), Link(Link) {}
SuffixTreeNode() {}
};
/// A data structure for fast substring queries.
///
/// Suffix trees represent the suffixes of their input strings in their leaves.
/// A suffix tree is a type of compressed trie structure where each node
/// represents an entire substring rather than a single character. Each leaf
/// of the tree is a suffix.
///
/// A suffix tree can be seen as a type of state machine where each state is a
/// substring of the full string. The tree is structured so that, for a string
/// of length N, there are exactly N leaves in the tree. This structure allows
/// us to quickly find repeated substrings of the input string.
///
/// In this implementation, a "string" is a vector of unsigned integers.
/// These integers may result from hashing some data type. A suffix tree can
/// contain 1 or many strings, which can then be queried as one large string.
///
/// The suffix tree is implemented using Ukkonen's algorithm for linear-time
/// suffix tree construction. Ukkonen's algorithm is explained in more detail
/// in the paper by Esko Ukkonen "On-line construction of suffix trees. The
/// paper is available at
///
/// https://www.cs.helsinki.fi/u/ukkonen/SuffixT1withFigs.pdf
class SuffixTree {
public:
/// Each element is an integer representing an instruction in the module.
llvm::ArrayRef<unsigned> Str;
/// A repeated substring in the tree.
struct RepeatedSubstring {
/// The length of the string.
unsigned Length;
/// The start indices of each occurrence.
std::vector<unsigned> StartIndices;
};
private:
/// Maintains each node in the tree.
llvm::SpecificBumpPtrAllocator<SuffixTreeNode> NodeAllocator;
/// The root of the suffix tree.
///
/// The root represents the empty string. It is maintained by the
/// \p NodeAllocator like every other node in the tree.
SuffixTreeNode *Root = nullptr;
/// Maintains the end indices of the internal nodes in the tree.
///
/// Each internal node is guaranteed to never have its end index change
/// during the construction algorithm; however, leaves must be updated at
/// every step. Therefore, we need to store leaf end indices by reference
/// to avoid updating O(N) leaves at every step of construction. Thus,
/// every internal node must be allocated its own end index.
llvm::BumpPtrAllocator InternalEndIdxAllocator;
/// The end index of each leaf in the tree.
unsigned LeafEndIdx = -1;
/// Helper struct which keeps track of the next insertion point in
/// Ukkonen's algorithm.
struct ActiveState {
/// The next node to insert at.
SuffixTreeNode *Node = nullptr;
/// The index of the first character in the substring currently being added.
unsigned Idx = EmptyIdx;
/// The length of the substring we have to add at the current step.
unsigned Len = 0;
};
/// The point the next insertion will take place at in the
/// construction algorithm.
ActiveState Active;
/// Allocate a leaf node and add it to the tree.
///
/// \param Parent The parent of this node.
/// \param StartIdx The start index of this node's associated string.
/// \param Edge The label on the edge leaving \p Parent to this node.
///
/// \returns A pointer to the allocated leaf node.
SuffixTreeNode *insertLeaf(SuffixTreeNode &Parent, unsigned StartIdx,
unsigned Edge);
/// Allocate an internal node and add it to the tree.
///
/// \param Parent The parent of this node. Only null when allocating the root.
/// \param StartIdx The start index of this node's associated string.
/// \param EndIdx The end index of this node's associated string.
/// \param Edge The label on the edge leaving \p Parent to this node.
///
/// \returns A pointer to the allocated internal node.
SuffixTreeNode *insertInternalNode(SuffixTreeNode *Parent, unsigned StartIdx,
unsigned EndIdx, unsigned Edge);
/// Set the suffix indices of the leaves to the start indices of their
/// respective suffixes.
void setSuffixIndices();
/// Construct the suffix tree for the prefix of the input ending at
/// \p EndIdx.
///
/// Used to construct the full suffix tree iteratively. At the end of each
/// step, the constructed suffix tree is either a valid suffix tree, or a
/// suffix tree with implicit suffixes. At the end of the final step, the
/// suffix tree is a valid tree.
///
/// \param EndIdx The end index of the current prefix in the main string.
/// \param SuffixesToAdd The number of suffixes that must be added
/// to complete the suffix tree at the current phase.
///
/// \returns The number of suffixes that have not been added at the end of
/// this step.
unsigned extend(unsigned EndIdx, unsigned SuffixesToAdd);
public:
/// Construct a suffix tree from a sequence of unsigned integers.
///
/// \param Str The string to construct the suffix tree for.
SuffixTree(const std::vector<unsigned> &Str);
/// Iterator for finding all repeated substrings in the suffix tree.
struct RepeatedSubstringIterator {
private:
/// The current node we're visiting.
SuffixTreeNode *N = nullptr;
/// The repeated substring associated with this node.
RepeatedSubstring RS;
/// The nodes left to visit.
std::vector<SuffixTreeNode *> ToVisit;
/// The minimum length of a repeated substring to find.
/// Since we're outlining, we want at least two instructions in the range.
/// FIXME: This may not be true for targets like X86 which support many
/// instruction lengths.
const unsigned MinLength = 2;
/// Move the iterator to the next repeated substring.
void advance() {
// Clear the current state. If we're at the end of the range, then this
// is the state we want to be in.
RS = RepeatedSubstring();
N = nullptr;
// Each leaf node represents a repeat of a string.
std::vector<SuffixTreeNode *> LeafChildren;
// Continue visiting nodes until we find one which repeats more than once.
while (!ToVisit.empty()) {
SuffixTreeNode *Curr = ToVisit.back();
ToVisit.pop_back();
LeafChildren.clear();
// Keep track of the length of the string associated with the node. If
// it's too short, we'll quit.
unsigned Length = Curr->ConcatLen;
// Iterate over each child, saving internal nodes for visiting, and
// leaf nodes in LeafChildren. Internal nodes represent individual
// strings, which may repeat.
for (auto &ChildPair : Curr->Children) {
// Save all of this node's children for processing.
if (!ChildPair.second->isLeaf())
ToVisit.push_back(ChildPair.second);
// It's not an internal node, so it must be a leaf. If we have a
// long enough string, then save the leaf children.
else if (Length >= MinLength)
LeafChildren.push_back(ChildPair.second);
}
// The root never represents a repeated substring. If we're looking at
// that, then skip it.
if (Curr->isRoot())
continue;
// Do we have any repeated substrings?
if (LeafChildren.size() >= 2) {
// Yes. Update the state to reflect this, and then bail out.
N = Curr;
RS.Length = Length;
for (SuffixTreeNode *Leaf : LeafChildren)
RS.StartIndices.push_back(Leaf->SuffixIdx);
break;
}
}
// At this point, either NewRS is an empty RepeatedSubstring, or it was
// set in the above loop. Similarly, N is either nullptr, or the node
// associated with NewRS.
}
public:
/// Return the current repeated substring.
RepeatedSubstring &operator*() { return RS; }
RepeatedSubstringIterator &operator++() {
advance();
return *this;
}
RepeatedSubstringIterator operator++(int I) {
RepeatedSubstringIterator It(*this);
advance();
return It;
}
bool operator==(const RepeatedSubstringIterator &Other) const {
return N == Other.N;
}
bool operator!=(const RepeatedSubstringIterator &Other) const {
return !(*this == Other);
}
RepeatedSubstringIterator(SuffixTreeNode *N) : N(N) {
// Do we have a non-null node?
if (N) {
// Yes. At the first step, we need to visit all of N's children.
// Note: This means that we visit N last.
ToVisit.push_back(N);
advance();
}
}
};
typedef RepeatedSubstringIterator iterator;
iterator begin() { return iterator(Root); }
iterator end() { return iterator(nullptr); }
};
} // namespace llvm
#endif // LLVM_SUPPORT_SUFFIXTREE_H