Upgrade to Ruby 3.3

.tool-versions

@@ -0,0 +1 @@
+ruby 3.3.1

.travis.yml

@@ -1,4 +1,4 @@
 language: ruby
 rvm:
-  - 1.9.3
+  - 3.3.1
 script: "rake spec"

Gemfile

@@ -1,4 +1,4 @@
-source :gemcutter
+source "https://rubygems.org"
 
 gem 'rake'
 gem 'rspec'

Gemfile.lock

@@ -1,28 +1,35 @@
 GEM
-  remote: http://rubygems.org/
+  remote: https://rubygems.org/
   specs:
     bluecloth (2.2.0)
-    diff-lcs (1.1.3)
-    multi_json (1.3.6)
-    rake (0.9.2.2)
-    rspec (2.11.0)
-      rspec-core (~> 2.11.0)
-      rspec-expectations (~> 2.11.0)
-      rspec-mocks (~> 2.11.0)
-    rspec-core (2.11.1)
-    rspec-expectations (2.11.2)
-      diff-lcs (~> 1.1.3)
-    rspec-mocks (2.11.2)
-    simplecov (0.6.4)
-      multi_json (~> 1.0)
-      simplecov-html (~> 0.5.3)
-    simplecov-html (0.5.3)
-    yard (0.8.2.1)
+    diff-lcs (1.5.1)
+    docile (1.4.0)
+    rake (13.2.1)
+    rspec (3.13.0)
+      rspec-core (~> 3.13.0)
+      rspec-expectations (~> 3.13.0)
+      rspec-mocks (~> 3.13.0)
+    rspec-core (3.13.0)
+      rspec-support (~> 3.13.0)
+    rspec-expectations (3.13.0)
+      diff-lcs (>= 1.2.0, < 2.0)
+      rspec-support (~> 3.13.0)
+    rspec-mocks (3.13.1)
+      diff-lcs (>= 1.2.0, < 2.0)
+      rspec-support (~> 3.13.0)
+    rspec-support (3.13.1)
+    simplecov (0.22.0)
+      docile (~> 1.1)
+      simplecov-html (~> 0.11)
+      simplecov_json_formatter (~> 0.1)
+    simplecov-html (0.12.3)
+    simplecov_json_formatter (0.1.4)
+    yard (0.9.36)
     yard-rspec (0.1)
       yard
 
 PLATFORMS
-  ruby
+  x86_64-darwin-23
 
 DEPENDENCIES
   bluecloth
@@ -31,3 +38,6 @@ DEPENDENCIES
   simplecov
   yard
   yard-rspec
+
+BUNDLED WITH
+   2.4.10

spec/saulabs/gauss/distribution_spec.rb

@@ -4,19 +4,19 @@
 describe Gauss::Distribution, "#initialize" do
 
   it "should set the mean to 10.1" do
-    Gauss::Distribution.new(10.1, 0.4).mean.should == 10.1
+    expect(Gauss::Distribution.new(10.1, 0.4).mean).to eq(10.1)
   end
 
   it "should set the deviation to 0.4" do
-    Gauss::Distribution.new(10.1, 0.4).deviation.should == 0.4
+    expect(Gauss::Distribution.new(10.1, 0.4).deviation).to eq(0.4)
   end
 
   it "should set the mean to 0.0 if the given mean is not finite" do
-    Gauss::Distribution.new(1 / 0.0, 0.4).mean.should == 0.0
+    expect(Gauss::Distribution.new(1 / 0.0, 0.4).mean).to eq(0.0)
   end
 
   it "should set the deviation to 0.0 if the given deviation is not finite" do
-    Gauss::Distribution.new(10.1, 1 / 0.0).deviation.should == 0.0
+    expect(Gauss::Distribution.new(10.1, 1 / 0.0).deviation).to eq(0.0)
   end
 
 end
@@ -28,23 +28,23 @@
   end
 
   it "should have a default mean value of 25.0" do
-    @dist.mean.should == 25.0
+    expect(@dist.mean).to eq(25.0)
   end
 
   it "should have a default deviation of 8.333333" do
-    @dist.deviation.should be_within(0.000001).of(8.333333)
+    expect(@dist.deviation).to be_within(0.000001).of(8.333333)
   end
 
   it "should set the variance to 69.444438" do
-    @dist.variance.should be_within(0.0001).of(69.4444)
+    expect(@dist.variance).to be_within(0.0001).of(69.4444)
   end
 
   it "should set the precision to 0.0144" do
-    @dist.precision.should be_within(0.0001).of(0.0144)
+    expect(@dist.precision).to be_within(0.0001).of(0.0144)
   end
 
   it "should set the precision_mean to 0.36" do
-    @dist.precision_mean.should be_within(0.0001).of(0.36)
+    expect(@dist.precision_mean).to be_within(0.0001).of(0.36)
   end
 
 end
@@ -56,23 +56,23 @@
   end
 
   it "should have a default mean value of 25.0" do
-    @dist.mean.should == 25.0
+    expect(@dist.mean).to eq(25.0)
   end
 
   it "should have a default deviation of 8.333333" do
-    @dist.deviation.should be_within(0.000001).of(8.333333)
+    expect(@dist.deviation).to be_within(0.000001).of(8.333333)
   end
 
   it "should set the variance to 69.444438" do
-    @dist.variance.should be_within(0.0001).of(69.4444)
+    expect(@dist.variance).to be_within(0.0001).of(69.4444)
   end
 
   it "should set the precision to 0.0144" do
-    @dist.precision.should be_within(0.0001).of(0.0144)
+    expect(@dist.precision).to be_within(0.0001).of(0.0144)
   end
 
   it "should set the precision_mean to 0.36" do
-    @dist.precision_mean.should be_within(0.0001).of(0.36)
+    expect(@dist.precision_mean).to be_within(0.0001).of(0.36)
   end
 
 end
@@ -84,35 +84,35 @@
   end
 
   it "should be 0.0 for the same distribution" do
-    (@dist - @dist).should == 0.0
+    expect(@dist - @dist).to eq(0.0)
   end
 
   it "should equal the precision mean if the 0-distribution is subtracted" do
-    (@dist - Gauss::Distribution.new).should == @dist.precision_mean
+    expect(@dist - Gauss::Distribution.new).to eq(@dist.precision_mean)
   end
 
   it "should be 130.399408 for (22, 0.4) - (12, 1.3)" do
-    (Gauss::Distribution.new(22, 0.4) - Gauss::Distribution.new(12, 1.3)).should be_within(tolerance).of(130.399408)
+    expect(Gauss::Distribution.new(22, 0.4) - Gauss::Distribution.new(12, 1.3)).to be_within(tolerance).of(130.399408)
   end
 
 end
 
 describe Gauss::Distribution, "#value_at" do
 
   it "should have a value of 0.073654 for x = 2" do
-    Gauss::Distribution.new(4,5).value_at(2).should be_within(tolerance).of(0.073654)
+    expect(Gauss::Distribution.new(4,5).value_at(2)).to be_within(tolerance).of(0.073654)
   end
 
 end
 
 describe Gauss::Distribution, "multiplication (*)" do
 
   it "should have a mean of 0.2" do
-    (Gauss::Distribution.new(0,1) * Gauss::Distribution.new(2,3)).mean.should be_within(0.00001).of(0.2)
+    expect((Gauss::Distribution.new(0,1) * Gauss::Distribution.new(2,3)).mean).to be_within(0.00001).of(0.2)
   end
 
   it "should have a deviation of 3.0 / Math.sqrt(10)" do
-    (Gauss::Distribution.new(0,1) * Gauss::Distribution.new(2,3)).deviation.should be_within(0.00001).of(3.0 / Math.sqrt(10))
+    expect((Gauss::Distribution.new(0,1) * Gauss::Distribution.new(2,3)).deviation).to be_within(0.00001).of(3.0 / Math.sqrt(10))
   end
 
 end
@@ -121,7 +121,7 @@
 
   it "should have calculate -3.0979981" do
     lp = Gauss::Distribution.log_product_normalization(Gauss::Distribution.new(4,5), Gauss::Distribution.new(6,7))
-    lp.should be_within(0.000001).of(-3.0979981)
+    expect(lp).to be_within(0.000001).of(-3.0979981)
   end
 
 end
@@ -131,44 +131,44 @@
   describe 'value = 0.27' do
 
     it "#cumulative_distribution_function should return 0.6064198 for 0.27" do
-      Gauss::Distribution.cumulative_distribution_function(0.27).should be_within(0.00001).of(0.6064198)
-      Gauss::Distribution.cdf(2.0).should be_within(0.00001).of(0.9772498)
+      expect(Gauss::Distribution.cumulative_distribution_function(0.27)).to be_within(0.00001).of(0.6064198)
+      expect(Gauss::Distribution.cdf(2.0)).to be_within(0.00001).of(0.9772498)
     end
 
     it "#probability_density_function should return 0.384662" do
-      Gauss::Distribution.probability_density_function(0.27).should be_within(0.0001).of(0.384662)
+      expect(Gauss::Distribution.probability_density_function(0.27)).to be_within(0.0001).of(0.384662)
     end
 
     it "#quantile_function should return ~ -0.6128123 at 0.27" do
-      Gauss::Distribution.quantile_function(0.27).should be_within(0.00001).of(-0.6128123)
+      expect(Gauss::Distribution.quantile_function(0.27)).to be_within(0.00001).of(-0.6128123)
     end
 
     it "#quantile_function should return ~ 1.281551 at 0.9" do
-      Gauss::Distribution.quantile_function(0.9).should be_within(0.00001).of(1.281551)
+      expect(Gauss::Distribution.quantile_function(0.9)).to be_within(0.00001).of(1.281551)
     end
 
     it "#erf_inv should return 0.0888559 at 0.9" do
-      Gauss::Distribution.inv_erf(0.9).should be_within(0.00001).of(0.0888559)
+      expect(Gauss::Distribution.inv_erf(0.9)).to be_within(0.00001).of(0.0888559)
     end
 
     it "#erf_inv should return 0.779983 at 0.27" do
-      Gauss::Distribution.inv_erf(0.27).should be_within(0.00001).of(0.779983)
+      expect(Gauss::Distribution.inv_erf(0.27)).to be_within(0.00001).of(0.779983)
     end
 
     it "#erf_inv should return 100 at -0.5" do
-      Gauss::Distribution.inv_erf(-0.5).should be_within(0.00001).of(100)
+      expect(Gauss::Distribution.inv_erf(-0.5)).to be_within(0.00001).of(100)
     end
 
     it "#erf should return 0.203091 at 0.9" do
-      Gauss::Distribution.erf(0.9).should be_within(0.00001).of(0.203091)
+      expect(Gauss::Distribution.erf(0.9)).to be_within(0.00001).of(0.203091)
     end
 
     it "#erf should return 0.702581 at 0.27" do
-      Gauss::Distribution.erf(0.27).should be_within(0.00001).of(0.702581)
+      expect(Gauss::Distribution.erf(0.27)).to be_within(0.00001).of(0.702581)
     end
 
     it "#erf should return 1.520499 at -0.5" do
-      Gauss::Distribution.erf(-0.5).should be_within(0.00001).of(1.520499)
+      expect(Gauss::Distribution.erf(-0.5)).to be_within(0.00001).of(1.520499)
     end
 
   end
@@ -184,7 +184,7 @@
 
   it "should be equal to the replaced distribution" do
     @dist1.replace(@dist2)
-    @dist1.should == @dist2
+    expect(@dist1).to eq(@dist2)
   end
 
 end

spec/saulabs/gauss/truncated_correction_spec.rb

@@ -6,37 +6,37 @@
   describe "#w_within_margin" do
 
     it "should return 0.970397 for (0.2, 0.3)" do
-      Gauss::TruncatedCorrection.w_within_margin(0.2, 0.3).should be_within(tolerance).of(0.970397)
-      Gauss::TruncatedCorrection.w_within_margin(0.1, 0.03).should be_within(tolerance).of(0.9997)
+      expect(Gauss::TruncatedCorrection.w_within_margin(0.2, 0.3)).to be_within(tolerance).of(0.970397)
+      expect(Gauss::TruncatedCorrection.w_within_margin(0.1, 0.03)).to be_within(tolerance).of(0.9997)
     end
 
   end
 
   describe "#v_within_margin" do
 
     it "should return -0.194073 for (0.2, 0.3)" do
-      Gauss::TruncatedCorrection.v_within_margin(0.2, 0.3).should be_within(tolerance).of(-0.194073)
-      Gauss::TruncatedCorrection.v_within_margin(0.1, 0.03).should be_within(tolerance).of(-0.09997)
+      expect(Gauss::TruncatedCorrection.v_within_margin(0.2, 0.3)).to be_within(tolerance).of(-0.194073)
+      expect(Gauss::TruncatedCorrection.v_within_margin(0.1, 0.03)).to be_within(tolerance).of(-0.09997)
     end
 
   end
 
   describe "#w_exceeds_margin" do
 
     it "should return 0.657847 for (0.2, 0.3)" do
-      Gauss::TruncatedCorrection.w_exceeds_margin(0.0, 0.740466).should be_within(tolerance).of(0.76774506)
-      Gauss::TruncatedCorrection.w_exceeds_margin(0.2, 0.3).should be_within(tolerance).of(0.657847)
-      Gauss::TruncatedCorrection.w_exceeds_margin(0.1, 0.03).should be_within(tolerance).of(0.621078)
+      expect(Gauss::TruncatedCorrection.w_exceeds_margin(0.0, 0.740466)).to be_within(tolerance).of(0.76774506)
+      expect(Gauss::TruncatedCorrection.w_exceeds_margin(0.2, 0.3)).to be_within(tolerance).of(0.657847)
+      expect(Gauss::TruncatedCorrection.w_exceeds_margin(0.1, 0.03)).to be_within(tolerance).of(0.621078)
     end
 
   end
 
   describe "#v_exceeds_margin" do
 
     it "should return 0.8626174 for (0.2, 0.3)" do
-      Gauss::TruncatedCorrection.v_exceeds_margin(0.0, 0.740466).should be_within(tolerance).of(1.32145197)
-      Gauss::TruncatedCorrection.v_exceeds_margin(0.2, 0.3).should be_within(tolerance).of(0.8626174)
-      Gauss::TruncatedCorrection.v_exceeds_margin(0.1, 0.03).should be_within(tolerance).of(0.753861)
+      expect(Gauss::TruncatedCorrection.v_exceeds_margin(0.0, 0.740466)).to be_within(tolerance).of(1.32145197)
+      expect(Gauss::TruncatedCorrection.v_exceeds_margin(0.2, 0.3)).to be_within(tolerance).of(0.8626174)
+      expect(Gauss::TruncatedCorrection.v_exceeds_margin(0.1, 0.03)).to be_within(tolerance).of(0.753861)
     end
 
   end