本文整理汇总了C#中Block.Filter方法的典型用法代码示例。如果您正苦于以下问题：C# Block.Filter方法的具体用法？C# Block.Filter怎么用？C# Block.Filter使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Block的用法示例。
在下文中一共展示了Block.Filter方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: merkle_block_1
public void merkle_block_1()
{
// Random real block (0000000000013b8ab2cd513b0261a14096412195a72a0c4827d229dcc7e0f7af)
// With 9 txes
Block block = new Block();
block.ReadWrite(ParseHex("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"));
BloomFilter filter = new BloomFilter(10, 0.000001, 0, BloomFlags.UPDATE_ALL);
// Match the last transaction
filter.Insert(uint256.Parse("0x74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20"));
MerkleBlock merkleBlock = block.Filter(filter);
Assert.True(merkleBlock.Header.GetHash() == block.GetHash());
Assert.True(merkleBlock.PartialMerkleTree.Check(block.Header.HashMerkleRoot));
var vMatchedTxn = merkleBlock.PartialMerkleTree.GetMatchedTransactions().ToList();
Assert.True(vMatchedTxn.Count == 1);
AssertMatch(block, vMatchedTxn, "0x74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20", 0, 8);
// Also match the 8th transaction
filter.Insert(uint256.Parse("0xdd1fd2a6fc16404faf339881a90adbde7f4f728691ac62e8f168809cdfae1053"));
merkleBlock = block.Filter(filter);
vMatchedTxn = merkleBlock.PartialMerkleTree.GetMatchedTransactions().ToList();
Assert.True(merkleBlock.PartialMerkleTree.Check(block.Header.HashMerkleRoot));
Assert.True(merkleBlock.Header.GetHash() == block.GetHash());
Assert.True(vMatchedTxn.Count == 2);
AssertMatch(block, vMatchedTxn, "0x74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20", 1, 8);
AssertMatch(block, vMatchedTxn, "0xdd1fd2a6fc16404faf339881a90adbde7f4f728691ac62e8f168809cdfae1053", 0, 7);
}示例2: Test
private void Test(int blockHeight, int txIndex, int txCount, int txOutIndex, int txOutCount)
{
var repo = new NoSqlBlockRepository();
var chain = new MockChain();
var block = new Block();
Transaction relevantTx = null;
for(int i = 0 ; i < txCount ; i++)
{
var tx = block.AddTransaction(new Transaction());
if(i == txIndex)
{
relevantTx = tx;
for(int ii = 0 ; ii < txOutCount ; ii++)
{
var txout = tx.AddOutput(new TxOut());
if(ii == txOutIndex)
txout.Value = Money.Coins(1.0m);
}
}
}
block.UpdateMerkleRoot();
chain.Return(block.Header, blockHeight);
repo.PutAsync(block).Wait();
var address = MnemonicReference.CreateAsync(chain, repo, blockHeight, txIndex, txOutIndex).Result;
var address2 = MnemonicReference.ParseAsync(chain, repo, Wordlist.English, address.ToString()).Result;
Assert.Equal(address.ToString(), address2.ToString());
Assert.Equal(Money.Coins(1.0m), address.Output.Value);
Assert.Equal(Money.Coins(1.0m), address2.Output.Value);
var merkleBlock = block.Filter(relevantTx.GetHash());
var address3 = MnemonicReference.Parse(chain, Wordlist.English, address.ToString(), relevantTx, merkleBlock);
Assert.Equal(address.ToString(), address3.ToString());
}