plugeth/swarm/bmt/bmt_r.go
Anton Evangelatov b3711af051 swarm: ctx propagation; bmt fixes; pss generic notification framework (#17150)
* cmd/swarm: minor cli flag text adjustments

* swarm/api/http: sticky footer for swarm landing page using flex

* swarm/api/http: sticky footer for error pages and fix for multiple choices

* cmd/swarm, swarm/storage, swarm: fix  mingw on windows test issues

* cmd/swarm: update description of swarm cmd

* swarm: added network ID test

* cmd/swarm: support for smoke tests on the production swarm cluster

* cmd/swarm/swarm-smoke: simplify cluster logic as per suggestion

* swarm: propagate ctx to internal apis (#754)

* swarm/metrics: collect disk measurements

* swarm/bmt: fix io.Writer interface

  * Write now tolerates arbitrary variable buffers
  * added variable buffer tests
  * Write loop and finalise optimisation
  * refactor / rename
  * add tests for empty input

* swarm/pss: (UPDATE) Generic notifications package (#744)

swarm/pss: Generic package for creating pss notification svcs

* swarm: Adding context to more functions

* swarm/api: change colour of landing page in templates

* swarm/api: change landing page to react to enter keypress
2018-07-09 14:11:49 +02:00

85 lines
3.1 KiB
Go

// Copyright 2017 The go-ethereum Authors
// This file is part of the go-ethereum library.
//
// The go-ethereum library is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// The go-ethereum library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
// Package bmt is a simple nonconcurrent reference implementation for hashsize segment based
// Binary Merkle tree hash on arbitrary but fixed maximum chunksize
//
// This implementation does not take advantage of any paralellisms and uses
// far more memory than necessary, but it is easy to see that it is correct.
// It can be used for generating test cases for optimized implementations.
// There is extra check on reference hasher correctness in bmt_test.go
// * TestRefHasher
// * testBMTHasherCorrectness function
package bmt
import (
"hash"
)
// RefHasher is the non-optimized easy-to-read reference implementation of BMT
type RefHasher struct {
maxDataLength int // c * hashSize, where c = 2 ^ ceil(log2(count)), where count = ceil(length / hashSize)
sectionLength int // 2 * hashSize
hasher hash.Hash // base hash func (Keccak256 SHA3)
}
// NewRefHasher returns a new RefHasher
func NewRefHasher(hasher BaseHasherFunc, count int) *RefHasher {
h := hasher()
hashsize := h.Size()
c := 2
for ; c < count; c *= 2 {
}
return &RefHasher{
sectionLength: 2 * hashsize,
maxDataLength: c * hashsize,
hasher: h,
}
}
// Hash returns the BMT hash of the byte slice
// implements the SwarmHash interface
func (rh *RefHasher) Hash(data []byte) []byte {
// if data is shorter than the base length (maxDataLength), we provide padding with zeros
d := make([]byte, rh.maxDataLength)
length := len(data)
if length > rh.maxDataLength {
length = rh.maxDataLength
}
copy(d, data[:length])
return rh.hash(d, rh.maxDataLength)
}
// data has length maxDataLength = segmentSize * 2^k
// hash calls itself recursively on both halves of the given slice
// concatenates the results, and returns the hash of that
// if the length of d is 2 * segmentSize then just returns the hash of that section
func (rh *RefHasher) hash(data []byte, length int) []byte {
var section []byte
if length == rh.sectionLength {
// section contains two data segments (d)
section = data
} else {
// section contains hashes of left and right BMT subtreea
// to be calculated by calling hash recursively on left and right half of d
length /= 2
section = append(rh.hash(data[:length], length), rh.hash(data[length:], length)...)
}
rh.hasher.Reset()
rh.hasher.Write(section)
return rh.hasher.Sum(nil)
}