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math.go
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math.go
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// Copyright (c) 2018 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
package linear
import (
"fmt"
"math"
"github.com/m3db/m3/src/query/executor/transform"
)
const (
// AbsType takes absolute value of each datapoint in the series
AbsType = "abs"
// CeilType rounds each value in the timeseries up to the nearest integer
CeilType = "ceil"
// FloorType rounds each value in the timeseries down to the nearest integer
FloorType = "floor"
// ExpType calculates the exponential function for all values in the timerseies
// Special cases are: Exp(+Inf) = +Inf and Exp(NaN) = NaN
ExpType = "exp"
// SqrtType calculates the square root for all values in the timeseries
SqrtType = "sqrt"
// Special cases for all of the following include:
// ln(+Inf) = +Inf
// ln(0) = -Inf
// ln(x < 0) = NaN
// ln(NaN) = NaN
// LnType calculates the natural logarithm for all values in the timeseries
LnType = "ln"
// Log2Type calculates the binary logarithm for all values in the timeseries
Log2Type = "log2"
// Log10Type calculates the decimal logarithm for all values in the timeseries
Log10Type = "log10"
)
var (
mathFuncs = map[string]func(x float64) float64{
AbsType: math.Abs,
CeilType: math.Ceil,
FloorType: math.Floor,
ExpType: math.Exp,
SqrtType: math.Sqrt,
LnType: math.Log,
Log2Type: math.Log2,
Log10Type: math.Log10,
}
)
// NewMathOp creates a new math op based on the type
func NewMathOp(optype string) (BaseOp, error) {
if _, ok := mathFuncs[optype]; !ok {
return emptyOp, fmt.Errorf("unknown math type: %s", optype)
}
return BaseOp{
operatorType: optype,
processorFn: newMathNode,
}, nil
}
func newMathNode(op BaseOp, controller *transform.Controller) Processor {
return &mathNode{op: op, controller: controller, mathFn: mathFuncs[op.operatorType]}
}
type mathNode struct {
op BaseOp
mathFn func(x float64) float64
controller *transform.Controller
}
func (m *mathNode) Process(values []float64) []float64 {
for i := range values {
values[i] = m.mathFn(values[i])
}
return values
}