anchor.diff:    end
   
     describe '#rand' do
  -    it 'returns a number between 0 and 1 by default' do
  -      fail
  -    end
  -
  -    it 'returns a bounded value when bounds are specified' do
  -      fail
  -    end
  +    it 'passes the G-test at a 95% significance level'
     end
   
     describe '#==' do
  
positive.code: require 'statistical/distribution/<%= distribution %>'
  
  describe Statistical::Rng::<%= distribution.capitalize.camelcase %> do
    it 'passes the G-test at a 95% significance level' do
    end
  
    describe '.new' do
      context 'when called with no arguments' do
        fail
      end
  
      context 'when parameters are specified' do
        fail
      end
  
      context 'when initialized with a seed' do
        it 'should be repeatable for the same arguments' do
  
negative.code:         fail
        end
      end
    end
  end
  
  
  describe Statistical::Distribution::<%= distribution.capitalize.camelcase %> do
    describe '.new' do
      context 'when called with no arguments'
  
      context 'when upper and lower bounds are specified'
    end
  
  
    describe '#pdf' do
      context 'when called with x < lower_bound'
  
      context 'when called with x > upper_bound'
  
      context 'when called with x in [lower_bound, upper_bound]'
    end
  
    describe '#cdf' do
      context 'when called with x < lower'
  
      context 'when called with x > upper'
  
      context 'when called with x in [lower, upper]'
    end
  
    describe '#quantile' do
      context 'when called for x < 0' do
        let(:<%= distribution[0] %>dist) {Statistical::Distribution::<%= distribution.capitalize.camelcase %>.new}
        it {
          expect {<%= distribution[0] %>dist.quantile(-Float::EPSILON)}.to raise_error(RangeError)
        }
      end
  
      context 'when called for x > 1' do
        let(:<%= distribution[0] %>dist) {Statistical::Distribution::<%= distribution.capitalize.camelcase %>.new}
        it {  
          expect {<%= distribution[0] %>dist.quantile(1 + Float::EPSILON)}.to raise_error(RangeError)
        }
      end
  
      context 'when called for x in [0, 1]' do
        let(:<%= distribution[0] %>dist) {Statistical::Distribution::<%= distribution.capitalize.camelcase %>.new}
      end
    end
  
    describe '#p_value' do
      it 'should be the same as #quantile'
    end
  
    describe '#mean' do
      it 'should return the correct mean'
    end
  
    describe '#variance' do
      it 'should return the correct variance'
    end
  
    describe '#==' do
      context 'when compared against another Uniform distribution' do
        it 'returns `true` if they have the same parameters'
        it 'returns `false` if they have different parameters'
      end
    end
  end