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import std/[stats, assertions]
import std/math
func `~=`(x, y: float32): bool =
math.almostEqual(x, y)
template main() =
var rs: RunningStat
rs.push(@[1.0, 2.0, 1.0, 4.0, 1.0, 4.0, 1.0, 2.0])
doAssert(rs.n == 8)
doAssert rs.mean ~= 2.0
doAssert rs.variance() ~= 1.5
doAssert rs.varianceS() ~= 1.71428571
doAssert rs.skewness() ~= 0.81649658
doAssert rs.skewnessS() ~= 1.01835015
doAssert rs.kurtosis() ~= -1.0
doAssert rs.kurtosisS() ~= -0.7000000000000001
var rs1, rs2: RunningStat
rs1.push(@[1.0, 2.0, 1.0, 4.0])
rs2.push(@[1.0, 4.0, 1.0, 2.0])
let rs3 = rs1 + rs2
doAssert rs3.variance ~= rs.variance
doAssert rs3.skewness ~= rs.skewness
doAssert rs3.kurtosis ~= rs.kurtosis
rs1 += rs2
doAssert rs1.variance ~= rs.variance
doAssert rs1.skewness ~= rs.skewness
doAssert rs1.kurtosis ~= rs.kurtosis
rs1.clear()
rs1.push(@[1.0, 2.2, 1.4, 4.9])
doAssert rs1.sum ~= 9.5
doAssert rs1.mean() ~= 2.375
when not defined(cpu32):
# XXX For some reason on 32bit CPUs these results differ
var rr: RunningRegress
rr.push(@[0.0, 1.0, 2.8, 3.0, 4.0], @[0.0, 1.0, 2.3, 3.0, 4.0])
doAssert rr.slope() ~= 0.9695585996955861
doAssert rr.intercept() ~= -0.03424657534246611
doAssert rr.correlation() ~= 0.9905100362239381
var rr1, rr2: RunningRegress
rr1.push(@[0.0, 1.0], @[0.0, 1.0])
rr2.push(@[2.8, 3.0, 4.0], @[2.3, 3.0, 4.0])
let rr3 = rr1 + rr2
doAssert rr3.correlation() ~= rr.correlation()
doAssert rr3.slope() ~= rr.slope()
doAssert rr3.intercept() ~= rr.intercept()
block: # bug #18718
var rs: RunningStat
rs.push(-1.0)
doAssert rs.max == -1.0
static: main()
main()
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