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Optimize NumDigits
Dividing BitLen by math.Log2(10) is what math/big does underneath Not including the Int64/Uint64 check makes this slightly slower than old method Included 2 benchmarks, for 10 digit numbers & 100 digit numbers: -- before > go test -bench=NumDigit -run=NumDigit goos: linux goarch: amd64 pkg: github.com/shopspring/decimal cpu: AMD Ryzen 7 7840U w/ Radeon 780M Graphics BenchmarkDecimal_NumDigits10-16 18317293 63.87 ns/op BenchmarkDecimal_NumDigits100-16 3645015 329.6 ns/op -- after ... BenchmarkDecimal_NumDigits10-16 143781325 8.488 ns/op BenchmarkDecimal_NumDigits100-16 5931247 207.4 ns/op
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parent
547861c49b
commit
afe2a66041
2 changed files with 55 additions and 10 deletions
29
decimal.go
29
decimal.go
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@ -1224,14 +1224,31 @@ func (d Decimal) Ln(precision int32) (Decimal, error) {
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}
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// NumDigits returns the number of digits of the decimal coefficient (d.Value)
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// Note: Current implementation is extremely slow for large decimals and/or decimals with large fractional part
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func (d Decimal) NumDigits() int {
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d.ensureInitialized()
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// Note(mwoss): It can be optimized, unnecessary cast of big.Int to string
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if d.IsNegative() {
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return len(d.value.String()) - 1
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if d.value == nil {
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return 1
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}
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return len(d.value.String())
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if d.value.IsUint64() {
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u64 := d.value.Uint64()
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if u64 < (1 << 53) {
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if u64 == 0 {
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return 1
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}
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return int(math.Log10(float64(u64))) + 1
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}
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} else if d.value.IsInt64() {
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i64 := d.value.Int64()
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if i64 > -(1 << 53) {
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return int(math.Log10(float64(-i64))) + 1
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}
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}
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abs := new(big.Int).Abs(d.value)
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// lg10 may be off by 1, need to verify
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lg10 := int(float64(abs.BitLen()) / math.Log2(10))
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check := big.NewInt(int64(lg10))
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return lg10 + abs.Cmp(check.Exp(tenInt, check, nil))
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}
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// IsInteger returns true when decimal can be represented as an integer value, otherwise, it returns false.
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@ -121,6 +121,34 @@ func BenchmarkDecimal_RoundCash_Five(b *testing.B) {
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}
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}
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func numDigits(b *testing.B, want int, val Decimal) {
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b.Helper()
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for i := 0; i < b.N; i++ {
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if have := val.NumDigits(); have != want {
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b.Fatalf("\nHave: %q\nWant: %q", have, want)
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}
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}
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}
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func BenchmarkDecimal_NumDigits10(b *testing.B) {
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numDigits(b, 10, New(3478512345, -3))
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}
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func BenchmarkDecimal_NumDigits100(b *testing.B) {
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s := make([]byte, 102)
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for i := range s {
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s[i] = byte('0' + i%10)
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}
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s[0] = '-'
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s[100] = '.'
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d, err := NewFromString(string(s))
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if err != nil {
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b.Log(d)
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b.Error(err)
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}
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numDigits(b, 100, d)
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}
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func Benchmark_Cmp(b *testing.B) {
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decimals := DecimalSlice([]Decimal{})
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for i := 0; i < 1000000; i++ {
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@ -132,7 +160,7 @@ func Benchmark_Cmp(b *testing.B) {
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}
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}
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func Benchmark_decimal_Decimal_Add_different_precision(b *testing.B) {
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func BenchmarkDecimal_Add_different_precision(b *testing.B) {
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d1 := NewFromFloat(1000.123)
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d2 := NewFromFloat(500).Mul(NewFromFloat(0.12))
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@ -143,7 +171,7 @@ func Benchmark_decimal_Decimal_Add_different_precision(b *testing.B) {
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}
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}
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func Benchmark_decimal_Decimal_Sub_different_precision(b *testing.B) {
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func BenchmarkDecimal_Sub_different_precision(b *testing.B) {
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d1 := NewFromFloat(1000.123)
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d2 := NewFromFloat(500).Mul(NewFromFloat(0.12))
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@ -154,7 +182,7 @@ func Benchmark_decimal_Decimal_Sub_different_precision(b *testing.B) {
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}
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}
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func Benchmark_decimal_Decimal_Add_same_precision(b *testing.B) {
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func BenchmarkDecimal_Add_same_precision(b *testing.B) {
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d1 := NewFromFloat(1000.123)
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d2 := NewFromFloat(500.123)
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@ -165,7 +193,7 @@ func Benchmark_decimal_Decimal_Add_same_precision(b *testing.B) {
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}
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}
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func Benchmark_decimal_Decimal_Sub_same_precision(b *testing.B) {
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func BenchmarkDecimal_Sub_same_precision(b *testing.B) {
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d1 := NewFromFloat(1000.123)
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d2 := NewFromFloat(500.123)
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