Added a test for the pruning of extraneous inputs after ApproximateBestSet

This commit is contained in:
Murch 2015-12-07 00:15:36 +01:00
parent af9510e037
commit fc0f52d780
2 changed files with 26 additions and 6 deletions

View file

@ -328,4 +328,22 @@ BOOST_AUTO_TEST_CASE(coin_selection_tests)
empty_wallet(); empty_wallet();
} }
BOOST_AUTO_TEST_CASE(pruning_in_ApproximateBestSet)
{
CoinSet setCoinsRet;
CAmount nValueRet;
LOCK(wallet.cs_wallet);
empty_wallet();
for (int i = 0; i < 12; i++)
{
add_coin(10*CENT);
}
add_coin(100*CENT);
add_coin(100*CENT);
BOOST_CHECK(wallet.SelectCoinsMinConf(221*CENT, 1, 6, vCoins, setCoinsRet, nValueRet));
BOOST_CHECK_EQUAL(nValueRet, 230*CENT);
}
BOOST_AUTO_TEST_SUITE_END() BOOST_AUTO_TEST_SUITE_END()

View file

@ -1605,7 +1605,7 @@ static void ApproximateBestSubset(vector<pair<CAmount, pair<const CWalletTx*,uns
bool fReachedTarget = false; bool fReachedTarget = false;
for (int nPass = 0; nPass < 2 && !fReachedTarget; nPass++) for (int nPass = 0; nPass < 2 && !fReachedTarget; nPass++)
{ {
for (unsigned int i = 0; i < vValue.size() && !fReachedTarget; i++) for (unsigned int i = 0; i < vValue.size(); i++)
{ {
//The solver here uses a randomized algorithm, //The solver here uses a randomized algorithm,
//the randomness serves no real security purpose but is just //the randomness serves no real security purpose but is just
@ -1625,6 +1625,8 @@ static void ApproximateBestSubset(vector<pair<CAmount, pair<const CWalletTx*,uns
nBest = nTotal; nBest = nTotal;
vfBest = vfIncluded; vfBest = vfIncluded;
} }
nTotal -= vValue[i].first;
vfIncluded[i] = false;
} }
} }
} }
@ -1634,11 +1636,11 @@ static void ApproximateBestSubset(vector<pair<CAmount, pair<const CWalletTx*,uns
//Reduces the approximate best subset by removing any inputs that are smaller than the surplus of nTotal beyond nTargetValue. //Reduces the approximate best subset by removing any inputs that are smaller than the surplus of nTotal beyond nTargetValue.
for (unsigned int i = 0; i < vValue.size(); i++) for (unsigned int i = 0; i < vValue.size(); i++)
{ {
if (vfBest[i] && (nBest - vValue[i].first) >= nTargetValue ) if (vfBest[i] && (nBest - vValue[i].first) >= nTargetValue )
{ {
vfBest[i] = false; vfBest[i] = false;
nBest -= vValue[i].first; nBest -= vValue[i].first;
} }
} }
} }