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anthropometry.go
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anthropometry.go
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package phass
import (
"fmt"
"math"
"strings"
)
/**
* BMI Prime
*/
// NewBMIPrime creates a new anthropometric index able to calculate and
// classify a BMI Prime based on weight and height.
var NewBMIPrime = newAnthropoRatio(
limitsForBMIPrime,
func(w, h float64) Measurer {
return NewBMI(w, h)
},
bmiPrimeConf,
func(a Measurer) []string {
i := a.(*AnthropometricRatio)
v, _ := i.Calc()
c, _ := i.Classify()
return []string{
fmt.Sprintf("BMI Prime: %.4f", v),
fmt.Sprintf("BMI Prime classification: %s", c),
}
},
)
/**
* BMI
*/
// NewBMI creates a new anthropometric index able to calculate and classify
// a BMI based on weight and height.
var NewBMI = newAnthropoRatio(
limitsForBMI,
func(w, h float64) Measurer {
return NewAnthropometry(w, h)
},
bmiConf,
func(a Measurer) []string {
i := a.(*AnthropometricRatio)
v, _ := i.Calc()
c, _ := i.Classify()
return []string{
fmt.Sprintf("BMI: %2.f (kg/m^2)", v),
fmt.Sprintf("BMI classification: %s", c),
}
},
)
/**
* Anthropometry
*/
// Anthropometry represents the basic anthropometric measures (weight, height)
type Anthropometry struct {
Weight float64
Height float64
}
// NewAnthropometry returns a new Anthropometry instance.
func NewAnthropometry(weight float64, height float64) *Anthropometry {
return &Anthropometry{Weight: weight, Height: height}
}
func (a *Anthropometry) String() string {
return fmt.Sprintf("Weight: %.2f kg\nHeight: %.2f cm", a.Weight, a.Height)
}
// GetName return this measurement name.
func (a *Anthropometry) GetName() string {
return "Anthropometry"
}
// Result get common representation for this measurement.
func (a *Anthropometry) Result() ([]string, error) {
return []string{
fmt.Sprintf("Weight: %.2f kg.", a.Weight),
fmt.Sprintf("Height: %.2f cm.", a.Height),
}, nil
}
/**
* Anthropometric index
*/
// AnthropometricRatio represents a given anthropometric ratio. It's main
// responsibility is to implement Measurer interface for any ratio.
type AnthropometricRatio struct {
*Anthropometry
// lim represents the limits for a given classification value
lim map[int][2]float64
// prt is the parent measurement
prt Measurer
// conf defines the equation configuration for the given ratio
conf *EquationConf
// result knows how to represent the results for the given measurement
result func(Measurer) []string
}
// newAnthropometricRatio create a anthropometric ratio, that is comprised of a
// limit mapper for classification, a parent measumerement function, an
// enquation configuration, and a result function.
// Returns a function that create a new AnthropoRatio instance.
func newAnthropoRatio(
lim map[int][2]float64,
prt func(float64, float64) Measurer,
conf *EquationConf,
result func(Measurer) []string,
) func(float64, float64) *AnthropometricRatio {
ai := new(AnthropometricRatio)
ai.lim = lim
ai.conf = conf
ai.result = result
return func(weight, height float64) *AnthropometricRatio {
ai.Anthropometry = NewAnthropometry(weight, height)
ai.prt = prt(weight, height)
return ai
}
}
func (i *AnthropometricRatio) String() string {
prs, _ := i.prt.Result()
rs, _ := i.Result()
return fmt.Sprintf("%s\n%s", strings.Join(prs, "\n"), strings.Join(rs, "\n"))
}
// GetName retrieves the common name for any anthropometric index
func (i *AnthropometricRatio) GetName() string {
return "Anthropometry"
}
// Result returns the measurement representation, and an optional error if any
// violation was made for the measurement.
func (i *AnthropometricRatio) Result() ([]string, error) {
rs := []string{}
if _, err := i.Calc(); err != nil {
return rs, err
}
if _, err := i.Classify(); err != nil {
return rs, err
}
prs, err := i.prt.Result()
if err != nil {
return rs, err
}
rs = append(rs, prs...)
rs = append(rs, i.result(i)...)
return rs, nil
}
// Classify returns the classification for the given measurement calc, and an
// optional error.
func (i *AnthropometricRatio) Classify() (string, error) {
v, err := i.Calc()
if err != nil {
return "", err
}
return Classifier(v, i.lim, BMIClassification), nil
}
// Calc returns the measurement value, and an optional error.
func (i *AnthropometricRatio) Calc() (float64, error) {
return i.equation().Calc()
}
// equation returns the Equation instance used to validate and calculate the
// measurement value.
func (i *AnthropometricRatio) equation() Equationer {
return NewEquation(i.conf.Extract(i.Anthropometry), i.conf)
}
/**
* Equations
*/
// Equations for calculation of body mass index and body mass index prime.
var (
bmiConf = NewEquationConf(
"BMI",
inParams,
validators,
func(e *Equation) float64 {
w, _ := e.In("weight")
h, _ := e.In("height")
return w / math.Pow(h/100, 2)
},
)
bmiPrimeConf = NewEquationConf(
"BMIPrime",
inParams,
validators,
func(e *Equation) float64 {
return bmiConf.Calc(e) / 25.0
},
)
)
// List of validators for weight and height measures.
var validators = []Validator{ValidateMeasures([]string{"weight", "height"})}
// inParams method define base parameters for anthropometry. It receives an
// interface, that must comply with Anthropometry struct and returns a map
// with weight and height values.
func inParams(i interface{}) InParams {
ci := i.(*Anthropometry)
return map[string]float64{
"weight": ci.Weight,
"height": ci.Height,
}
}
/**
* Classification
*/
// Classification constants for BMI and BMIPrime
const (
VerySeverelyUnderweight = iota
SeverelyUnderweight
Underweight
Normal
Overweight
ObeseClassOne
ObeseClassTwo
ObeseClassThree
)
// BMIClassification map classification constants to their string representation.
var BMIClassification = map[int]string{
VerySeverelyUnderweight: "Very severely underweight",
SeverelyUnderweight: "Severely underweight",
Underweight: "Underweight",
Normal: "Normal",
Overweight: "Overweight",
ObeseClassOne: "Obese class one",
ObeseClassTwo: "Obese class two",
ObeseClassThree: "Obese class three",
}
// Mappers defining limits for each classification constant.
var (
limitsForBMI = map[int][2]float64{
VerySeverelyUnderweight: {math.Inf(-1), 15},
SeverelyUnderweight: {15, 16},
Underweight: {16, 18.5},
Normal: {18.5, 25},
Overweight: {25, 30},
ObeseClassOne: {30, 35},
ObeseClassTwo: {35, 40},
ObeseClassThree: {40, math.Inf(+1)},
}
limitsForBMIPrime = map[int][2]float64{
VerySeverelyUnderweight: {math.Inf(-1), 0.60},
SeverelyUnderweight: {0.60, 0.64},
Underweight: {0.64, 0.74},
Normal: {0.74, 1},
Overweight: {1, 1.2},
ObeseClassOne: {1.2, 1.4},
ObeseClassTwo: {1.4, 1.6},
ObeseClassThree: {1.6, math.Inf(+1)},
}
)