stats/spec/normale_distribution.cr

48 lines
1.7 KiB
Crystal

include Stats
describe NormaleDistribution do
it "between" do
bet = NormaleDistribution.between standard_deviation: 1, esperance: 0, min: -1, max: 1
less = NormaleDistribution.less_than standard_deviation: 1, esperance: 0, max: -1
greater = NormaleDistribution.greater_than standard_deviation: 1, esperance: 0, min: 1
bet.should eq 1 - less - greater
end
end
describe NormaleDistribution::Persistant do
it "instances" do
NormaleDistribution::Persistant(Float64, Float64).new
NormaleDistribution::Persistant(Int32, Float64).new(standard_deviation: 12).standard_deviation.should eq(12)
NormaleDistribution::Persistant(Float64, Int32).new(esperance: 14).esperance.should eq(14)
end
it "instances with BigNumber" do
n = NormaleDistribution::Persistant.new(
standard_deviation: BigInt.new(1),
esperance: BigFloat.new(1))
n.standard_deviation.should eq(1)
n.esperance.should eq(1)
end
it "QI" do
rule = NormaleDistribution::Persistant.new standard_deviation: 15, esperance: 100
rule.between(85, 115).round(2).should eq(0.68)
end
it "centroid" do
[0.1, 1.0, 2.0, 4.1324].each do |space|
[0.0, 1.0, -1.0, 12.0, 41.0, 0.2, 0.233].each do |center|
rule = NormaleDistribution::Persistant.new standard_deviation: space, esperance: center
[0.2, 0.4, 0.45, 0.55, 0.94, 1.1].each do |diff|
(-rule.between(diff, center)).should eq(rule.between(center, diff))
end
end
end
end
it "must fail" do
expect_raises(ArgumentError) { NormaleDistribution::Persistant(Int32, Float64).new standard_deviation: -1 }
expect_raises(ArgumentError) { NormaleDistribution::Persistant(Int32, Float64).new standard_deviation: 0 }
end
end