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core/filtermaps: add filtermaps tests
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package filtermaps | ||
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import ( | ||
"math/rand" | ||
"testing" | ||
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"github.com/ethereum/go-ethereum/common" | ||
) | ||
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func TestSingleMatch(t *testing.T) { | ||
for count := 0; count < 100000; count++ { | ||
// generate a row with a single random entry | ||
mapIndex := rand.Uint32() | ||
lvIndex := uint64(mapIndex)<<logValuesPerMap + uint64(rand.Intn(valuesPerMap)) | ||
var lvHash common.Hash | ||
rand.Read(lvHash[:]) | ||
row := FilterRow{columnIndex(lvIndex, lvHash)} | ||
matches := row.potentialMatches(mapIndex, lvHash) | ||
// check if it has been reverse transformed correctly | ||
if len(matches) != 1 { | ||
t.Fatalf("Invalid length of matches (got %d, expected 1)", len(matches)) | ||
} | ||
if matches[0] != lvIndex { | ||
if len(matches) != 1 { | ||
t.Fatalf("Incorrect match returned (got %d, expected %d)", matches[0], lvIndex) | ||
} | ||
} | ||
} | ||
} | ||
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const ( | ||
testPmCount = 100 | ||
testPmLen = 1000 | ||
) | ||
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func TestPotentialMatches(t *testing.T) { | ||
var falsePositives int | ||
for count := 0; count < testPmCount; count++ { | ||
mapIndex := rand.Uint32() | ||
lvStart := uint64(mapIndex) << logValuesPerMap | ||
var row FilterRow | ||
lvIndices := make([]uint64, testPmLen) | ||
lvHashes := make([]common.Hash, testPmLen+1) | ||
for i := range lvIndices { | ||
// add testPmLen single entries with different log value hashes at different indices | ||
lvIndices[i] = lvStart + uint64(rand.Intn(valuesPerMap)) | ||
rand.Read(lvHashes[i][:]) | ||
row = append(row, columnIndex(lvIndices[i], lvHashes[i])) | ||
} | ||
// add the same log value hash at the first testPmLen log value indices of the map's range | ||
rand.Read(lvHashes[testPmLen][:]) | ||
for lvIndex := lvStart; lvIndex < lvStart+testPmLen; lvIndex++ { | ||
row = append(row, columnIndex(lvIndex, lvHashes[testPmLen])) | ||
} | ||
// randomly duplicate some entries | ||
for i := 0; i < testPmLen; i++ { | ||
row = append(row, row[rand.Intn(len(row))]) | ||
} | ||
// randomly mix up order of elements | ||
for i := len(row) - 1; i > 0; i-- { | ||
j := rand.Intn(i) | ||
row[i], row[j] = row[j], row[i] | ||
} | ||
// check retrieved matches while also counting false positives | ||
for i, lvHash := range lvHashes { | ||
matches := row.potentialMatches(mapIndex, lvHash) | ||
if i < testPmLen { | ||
// check single entry match | ||
if len(matches) < 1 { | ||
t.Fatalf("Invalid length of matches (got %d, expected >=1)", len(matches)) | ||
} | ||
var found bool | ||
for _, lvi := range matches { | ||
if lvi == lvIndices[i] { | ||
found = true | ||
} else { | ||
falsePositives++ | ||
} | ||
} | ||
if !found { | ||
t.Fatalf("Expected match not found (got %v, expected %d)", matches, lvIndices[i]) | ||
} | ||
} else { | ||
// check "long series" match | ||
if len(matches) < testPmLen { | ||
t.Fatalf("Invalid length of matches (got %d, expected >=%d)", len(matches), testPmLen) | ||
} | ||
// since results are ordered, first testPmLen entries should always match exactly | ||
for j := 0; j < testPmLen; j++ { | ||
if matches[j] != lvStart+uint64(j) { | ||
t.Fatalf("Incorrect match at index %d (got %d, expected %d)", j, matches[j], lvStart+uint64(j)) | ||
} | ||
} | ||
// the rest are false positives | ||
falsePositives += len(matches) - testPmLen | ||
} | ||
} | ||
} | ||
// Whenever looking for a certain log value hash, each entry in the row that | ||
// was generated by another log value hash (a "foreign entry") has an | ||
// 1 / valuesPerMap chance of yielding a false positive. | ||
// We have testPmLen unique hash entries and a testPmLen long series of entries | ||
// for the same hash. For each of the testPmLen unique hash entries there are | ||
// testPmLen*2-1 foreign entries while for the long series there are testPmLen | ||
// foreign entries. This means that after performing all these filtering runs, | ||
// we have processed 2*testPmLen^2 foreign entries, which given us an estimate | ||
// of how many false positives to expect. | ||
expFalse := testPmCount * testPmLen * testPmLen * 2 / valuesPerMap | ||
if falsePositives < expFalse/2 || falsePositives > expFalse*3/2 { | ||
t.Fatalf("False positive rate out of expected range (got %d, expected %d +-50%%)", falsePositives, expFalse) | ||
} | ||
} |