This class groups transactions that have been confirmed in blocks into buckets, based on either their fee or their priority. Then for each bucket, the class calculates what percentage of the transactions were confirmed within various numbers of blocks. It does this by keeping an exponentially decaying moving history for each bucket and confirm block count of the percentage of transactions in that bucket that were confirmed within that number of blocks.
-Eliminate txs which didn't have all inputs available at entry from fee/pri calcs
-Add dynamic breakpoints and tracking of confirmation delays in mempool transactions
-Remove old CMinerPolicyEstimator and CBlockAverage code
-New smartfees.py
-Pass a flag to the estimation code, using IsInitialBlockDownload as a proxy for when we are still catching up and we shouldn't be counting how many blocks it takes for transactions to be included.
-Add a policyestimator unit test
We don't want to erase orphans that still have missing inputs, they should still be tracked as orphans. Also, the transaction thats being accepted can't be an orphan otherwise it would have previously been accepted, so doesn't need to be added to the erase queue.
When the internal miner is enabled at the start of a new node, there
is an near instant assert in TestBlockValidity because its attempting
to mine a block before the top checkpoint.
Also avoids a data race around vNodes.
If there are any script verification errors, when using "signrawtransaction", they are shown in the RPC result:
```
// ...
Result:
{
"hex" : "value", (string) The hex-encoded raw transaction with signature(s)
"complete" : true|false, (boolean) If the transaction has a complete set of signatures
"errors" : [ (json array of objects) Script verification errors (if there are any)
{
"txid" : "hash", (string) The hash of the referenced, previous transaction
"vout" : n, (numeric) The index of the output to spent and used as input
"scriptSig" : "hex", (string) The hex-encoded signature script
"sequence" : n, (numeric) Script sequence number
"error" : "text" (string) Verification or signing error related to the input
}
,...
]
}
```
Connecting the chain can take quite a while.
All the while it is still showing `Loading wallet...`.
Add an init message to inform the user what is happening.
libsecp256k1's API changed, so update key.cpp to use it.
Libsecp256k1 now has explicit context objects, which makes it completely thread-safe.
In turn, keep an explicit context object in key.cpp, which is explicitly initialized
destroyed. This is not really pretty now, but it's more efficient than the static
initialized object in key.cpp (which made for example bitcoin-tx slow, as for most of
its calls, libsecp256k1 wasn't actually needed).
This also brings in the new blinding support in libsecp256k1. By passing in a random
seed, temporary variables during the elliptic curve computations are altered, in such
a way that if an attacker does not know the blind, observing the internal operations
leaks less information about the keys used. This was implemented by Greg Maxwell.
Compute the change directly as difference between the "requested" and
the actual value returned by SelectCoins. This removes a duplication of
the fee logic code.
Use a probabilistic bloom filter to keep track of which addresses
we think we have given our peers, instead of a list.
This uses much less memory, at the cost of sometimes failing to
relay an address to a peer-- worst case if the bloom filter happens
to be as full as it gets, 1-in-1,000.
Measured memory usage of a full mruset setAddrKnown: 650Kbytes
Constant memory usage of CRollingBloomFilter addrKnown: 37Kbytes.
This will also help heap fragmentation, because the 37K of storage
is allocated when a CNode is created (when a connection to a peer
is established) and then there is no per-item-remembered memory
allocation.
I plan on testing by restarting a full node with an empty peers.dat,
running a while with -debug=addrman and -debug=net, and making sure
that the 'addr' message traffic out is reasonable.
(suggestions for better tests welcome)
For when you need to keep track of the last N items
you've seen, and can tolerate some false-positives.
Rebased-by: Pieter Wuille <pieter.wuille@gmail.com>
Jonas Schnelli