mirror of https://github.com/status-im/op-geth.git
259 lines
7.0 KiB
Go
259 lines
7.0 KiB
Go
// Copyright 2014 The go-ethereum Authors
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// This file is part of the go-ethereum library.
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//
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// The go-ethereum library is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// The go-ethereum library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
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package filters
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import (
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"math"
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"time"
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"math/big"
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"github.com/ethereum/go-ethereum/common"
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"github.com/ethereum/go-ethereum/core"
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"github.com/ethereum/go-ethereum/core/types"
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"github.com/ethereum/go-ethereum/core/vm"
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"github.com/ethereum/go-ethereum/ethdb"
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"github.com/ethereum/go-ethereum/event"
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"github.com/ethereum/go-ethereum/rpc"
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"golang.org/x/net/context"
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)
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type Backend interface {
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ChainDb() ethdb.Database
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EventMux() *event.TypeMux
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HeaderByNumber(ctx context.Context, blockNr rpc.BlockNumber) (*types.Header, error)
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GetReceipts(ctx context.Context, blockHash common.Hash) (types.Receipts, error)
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}
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// Filter can be used to retrieve and filter logs.
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type Filter struct {
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backend Backend
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useMipMap bool
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created time.Time
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db ethdb.Database
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begin, end int64
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addresses []common.Address
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topics [][]common.Hash
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}
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// New creates a new filter which uses a bloom filter on blocks to figure out whether
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// a particular block is interesting or not.
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func New(backend Backend, useMipMap bool) *Filter {
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return &Filter{
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backend: backend,
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useMipMap: useMipMap,
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db: backend.ChainDb(),
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}
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}
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// SetBeginBlock sets the earliest block for filtering.
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// -1 = latest block (i.e., the current block)
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// hash = particular hash from-to
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func (f *Filter) SetBeginBlock(begin int64) {
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f.begin = begin
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}
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// SetEndBlock sets the latest block for filtering.
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func (f *Filter) SetEndBlock(end int64) {
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f.end = end
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}
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// SetAddresses matches only logs that are generated from addresses that are included
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// in the given addresses.
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func (f *Filter) SetAddresses(addr []common.Address) {
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f.addresses = addr
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}
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// SetTopics matches only logs that have topics matching the given topics.
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func (f *Filter) SetTopics(topics [][]common.Hash) {
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f.topics = topics
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}
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// Run filters logs with the current parameters set
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func (f *Filter) Find(ctx context.Context) ([]*vm.Log, error) {
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head, _ := f.backend.HeaderByNumber(ctx, rpc.LatestBlockNumber)
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if head == nil {
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return nil, nil
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}
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headBlockNumber := head.Number.Uint64()
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var beginBlockNo uint64 = uint64(f.begin)
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if f.begin == -1 {
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beginBlockNo = headBlockNumber
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}
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var endBlockNo uint64 = uint64(f.end)
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if f.end == -1 {
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endBlockNo = headBlockNumber
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}
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// if no addresses are present we can't make use of fast search which
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// uses the mipmap bloom filters to check for fast inclusion and uses
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// higher range probability in order to ensure at least a false positive
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if !f.useMipMap || len(f.addresses) == 0 {
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return f.getLogs(ctx, beginBlockNo, endBlockNo)
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}
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return f.mipFind(beginBlockNo, endBlockNo, 0), nil
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}
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func (f *Filter) mipFind(start, end uint64, depth int) (logs []*vm.Log) {
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level := core.MIPMapLevels[depth]
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// normalise numerator so we can work in level specific batches and
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// work with the proper range checks
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for num := start / level * level; num <= end; num += level {
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// find addresses in bloom filters
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bloom := core.GetMipmapBloom(f.db, num, level)
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for _, addr := range f.addresses {
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if bloom.TestBytes(addr[:]) {
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// range check normalised values and make sure that
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// we're resolving the correct range instead of the
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// normalised values.
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start := uint64(math.Max(float64(num), float64(start)))
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end := uint64(math.Min(float64(num+level-1), float64(end)))
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if depth+1 == len(core.MIPMapLevels) {
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l, _ := f.getLogs(context.Background(), start, end)
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logs = append(logs, l...)
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} else {
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logs = append(logs, f.mipFind(start, end, depth+1)...)
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}
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// break so we don't check the same range for each
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// possible address. Checks on multiple addresses
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// are handled further down the stack.
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break
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}
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}
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}
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return logs
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}
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func (f *Filter) getLogs(ctx context.Context, start, end uint64) (logs []*vm.Log, err error) {
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for i := start; i <= end; i++ {
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header, err := f.backend.HeaderByNumber(ctx, rpc.BlockNumber(i))
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if header == nil || err != nil {
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return logs, err
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}
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// Use bloom filtering to see if this block is interesting given the
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// current parameters
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if f.bloomFilter(header.Bloom) {
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// Get the logs of the block
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receipts, err := f.backend.GetReceipts(ctx, header.Hash())
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if err != nil {
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return nil, err
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}
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var unfiltered []*vm.Log
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for _, receipt := range receipts {
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unfiltered = append(unfiltered, ([]*vm.Log)(receipt.Logs)...)
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}
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logs = append(logs, filterLogs(unfiltered, nil, nil, f.addresses, f.topics)...)
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}
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}
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return logs, nil
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}
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func includes(addresses []common.Address, a common.Address) bool {
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for _, addr := range addresses {
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if addr == a {
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return true
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}
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}
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return false
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}
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// filterLogs creates a slice of logs matching the given criteria.
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func filterLogs(logs []*vm.Log, fromBlock, toBlock *big.Int, addresses []common.Address, topics [][]common.Hash) []*vm.Log {
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var ret []*vm.Log
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Logs:
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for _, log := range logs {
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if fromBlock != nil && fromBlock.Int64() >= 0 && fromBlock.Uint64() > log.BlockNumber {
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continue
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}
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if toBlock != nil && toBlock.Int64() >= 0 && toBlock.Uint64() < log.BlockNumber {
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continue
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}
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if len(addresses) > 0 && !includes(addresses, log.Address) {
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continue
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}
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logTopics := make([]common.Hash, len(topics))
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copy(logTopics, log.Topics)
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// If the to filtered topics is greater than the amount of topics in logs, skip.
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if len(topics) > len(log.Topics) {
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continue Logs
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}
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for i, topics := range topics {
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var match bool
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for _, topic := range topics {
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// common.Hash{} is a match all (wildcard)
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if (topic == common.Hash{}) || log.Topics[i] == topic {
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match = true
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break
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}
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}
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if !match {
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continue Logs
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}
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}
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ret = append(ret, log)
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}
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return ret
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}
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func (f *Filter) bloomFilter(bloom types.Bloom) bool {
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return bloomFilter(bloom, f.addresses, f.topics)
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}
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func bloomFilter(bloom types.Bloom, addresses []common.Address, topics [][]common.Hash) bool {
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if len(addresses) > 0 {
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var included bool
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for _, addr := range addresses {
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if types.BloomLookup(bloom, addr) {
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included = true
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break
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}
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}
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if !included {
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return false
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}
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}
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for _, sub := range topics {
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var included bool
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for _, topic := range sub {
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if (topic == common.Hash{}) || types.BloomLookup(bloom, topic) {
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included = true
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break
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}
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}
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if !included {
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return false
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}
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}
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return true
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}
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