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dot.go
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dot.go
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// Copyright © 2018 - 2023 Weald Technology Trading
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package merkletree is an implementation of a Merkle tree (https://en.wikipedia.org/wiki/Merkle_tree). It provides methods to
// create a tree and generate and verify proofs. The hashing algorithm for the tree is selectable between BLAKE2b and Keccak256,
// or you can supply your own.
//
// This implementation includes advanced features salting and pollarding. Salting is the act of adding a piece of data to each
// value in the Merkle tree as it is initially hashed to form the leaves, which helps avoid rainbow table attacks on leaf hashes
// presented as part of proofs. Pollarding is the act of providing the root plus all branches to a certain height which can be
// used to reduce the size of proofs. This is useful when multiple proofs are presented against the same tree as it can reduce the
// overall size.
//
// Creating a Merkle tree requires a list of values that are each byte arrays. Once a tree has been created proofs can be generated
// using the tree's GenerateProof() function.
//
// The package includes a function VerifyProof() to verify a generated proof given only the data to prove, proof and the pollard of
// the relevant Merkle tree. This allows for efficient verification of proofs without requiring the entire Merkle tree to be stored
// or recreated.
//
// # Implementation notes
//
// The tree pads its values to the next highest power of 2; values not supplied are treated as null with a value hash of 0. This
// can be seen graphically by generating a DOT representation of the graph with DOT().
//
// If salting is enabled it appends an 4-byte value to each piece of data. The value is the binary representation of the index in
// big-endian form. Note that if there are more than 2^32 values in the tree the salt will wrap, being modulo 2^32
package merkletree
import (
"encoding/binary"
"fmt"
"math"
"strings"
)
// DOT creates a DOT representation of the tree. It is generally used for external presentation.
// This takes two optional formatters for []byte data: the first for leaf data and the second for branches.
func (t *MerkleTree) DOT(lf Formatter, bf Formatter) string {
return t.dot(nil, nil, nil, lf, bf)
}
// DOTProof creates a DOT representation of the tree with highlights for a proof. It is generally used for external presentation.
// This takes two optional formatters for []byte data: the first for leaf data and the second for branches.
func (t *MerkleTree) DOTProof(proof *Proof, lf Formatter, bf Formatter) string {
if proof == nil {
return t.DOT(lf, bf)
}
// Find out which nodes are used in our proof
valueIndices := make(map[uint64]int)
proofIndices := make(map[uint64]int)
rootIndices := make(map[uint64]int)
if proof != nil {
index := proof.Index + uint64(math.Ceil(float64(len(t.Nodes))/2))
valueIndices[proof.Index] = 1
for range proof.Hashes {
proofIndices[index^1] = 1
index /= 2
}
numRootNodes := uint64(math.Exp2(math.Ceil(math.Log2(float64(len(t.Data))))-float64(len(proof.Hashes))+1)) - 1
for i := uint64(1); i <= numRootNodes; i++ {
rootIndices[i] = 1
}
}
return t.dot(rootIndices, valueIndices, proofIndices, lf, bf)
}
// DOTMultiProof creates a DOT representation of the tree with highlights for a multiproof. It is generally used for external
// presentation. This takes two optional formatters for []byte data: the first for leaf data and the second for branches.
func (t *MerkleTree) DOTMultiProof(multiProof *MultiProof, lf Formatter, bf Formatter) string {
if multiProof == nil {
return t.DOT(lf, bf)
}
// Find out which nodes are used in our multiproof
valueIndices := make(map[uint64]int)
proofIndices := make(map[uint64]int)
rootIndices := make(map[uint64]int)
for _, index := range multiProof.Indices {
valueIndices[index] = 1
}
for index := range multiProof.Hashes {
proofIndices[index] = 1
}
rootIndices[1] = 1
return t.dot(rootIndices, valueIndices, proofIndices, lf, bf)
}
func (t *MerkleTree) dot(rootIndices, valueIndices, proofIndices map[uint64]int, lf, bf Formatter) string {
if lf == nil {
lf = new(TruncatedHexFormatter)
}
if bf == nil {
bf = new(TruncatedHexFormatter)
}
var builder strings.Builder
builder.WriteString("digraph MerkleTree {")
builder.WriteString("rankdir = TB;")
builder.WriteString("node [shape=rectangle margin=\"0.2,0.2\"];")
dataLen := len(t.Data)
valuesOffset := int(math.Ceil(float64(len(t.Nodes)) / 2))
var nodeBuilder strings.Builder
nodeBuilder.WriteString("{rank=same")
for i := 0; i < valuesOffset; i++ {
if i < dataLen {
t.dotLeaf(&builder, &nodeBuilder, i, valuesOffset+i, lf, bf, valueIndices, rootIndices, proofIndices)
} else {
t.dotEmptyLeaf(&builder, &nodeBuilder, valuesOffset+i, bf, rootIndices, proofIndices)
}
if dataLen > 1 {
builder.WriteString(fmt.Sprintf("%d->%d;", valuesOffset+i, (valuesOffset+i)/2))
}
}
nodeBuilder.WriteString("};")
builder.WriteString(nodeBuilder.String())
t.dotBranches(rootIndices, proofIndices, bf, &builder)
builder.WriteString("}")
return builder.String()
}
func (t *MerkleTree) dotBranches(rootIndices, proofIndices map[uint64]int, bf Formatter, builder *strings.Builder) {
valuesOffset := int(math.Ceil(float64(len(t.Nodes)) / 2))
for valueIndex := valuesOffset - 1; valueIndex > 0; valueIndex-- {
builder.WriteString(fmt.Sprintf("%d [label=\"%s\"", valueIndex, bf.Format(t.Nodes[valueIndex])))
if rootIndices[uint64(valueIndex)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#8080ff\"")
} else if proofIndices[uint64(valueIndex)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#00ff00\"")
}
builder.WriteString("];")
if valueIndex > 1 {
builder.WriteString(fmt.Sprintf("%d->%d;", valueIndex, valueIndex/2))
}
}
}
func (t *MerkleTree) dotLeaf(builder *strings.Builder,
nodeBuilder *strings.Builder,
i int,
offset int,
leafFormatter Formatter,
branchFormatter Formatter,
valueIndices map[uint64]int,
rootIndices map[uint64]int,
proofIndices map[uint64]int,
) {
builder.WriteString(fmt.Sprintf("\"%s\" [shape=oval", leafFormatter.Format(t.Data[i])))
if valueIndices[uint64(i)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#ff4040\"")
}
builder.WriteString("];")
// Hash of the value
if t.Salt {
indexSalt := make([]byte, 4)
binary.BigEndian.PutUint32(indexSalt, uint32(i))
builder.WriteString(fmt.Sprintf("\"%s\"->%d [label=\"+%0x\"];", leafFormatter.Format(t.Data[i]), offset, indexSalt))
} else {
builder.WriteString(fmt.Sprintf("\"%s\"->%d;", leafFormatter.Format(t.Data[i]), offset))
}
nodeBuilder.WriteString(fmt.Sprintf(";%d", offset))
builder.WriteString(fmt.Sprintf("%d [label=\"%s\"", offset, branchFormatter.Format(t.Nodes[offset])))
if proofIndices[uint64(offset)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#00ff00\"")
} else if rootIndices[uint64(offset)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#8080ff\"")
}
builder.WriteString("];")
if i > 0 {
builder.WriteString(fmt.Sprintf("%d->%d [style=invisible arrowhead=none];", offset-1, offset))
}
}
func (t *MerkleTree) dotEmptyLeaf(builder *strings.Builder,
nodeBuilder *strings.Builder,
offset int,
branchFormatter Formatter,
rootIndices map[uint64]int,
proofIndices map[uint64]int,
) {
empty := make([]byte, len(t.Nodes[1]))
builder.WriteString(fmt.Sprintf("%d [label=\"%s\"", offset, branchFormatter.Format(empty)))
if proofIndices[uint64(offset)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#00ff00\"")
} else if rootIndices[uint64(offset)] > 0 {
builder.WriteString(" style=filled fillcolor=\"#8080ff\"")
}
builder.WriteString("];")
builder.WriteString(fmt.Sprintf("%d->%d [style=invisible arrowhead=none];", offset-1, offset))
nodeBuilder.WriteString(fmt.Sprintf(";%d", offset))
}