test_class.file: modules/ml/src/test/java/org/apache/ignite/ml/util/generators/primitives/scalar/GaussRandomProducerTest.java
test_class.identifier: GaussRandomProducerTest
test_case.body: @Test
      public void testSeedConsidering() {
          GaussRandomProducer producer1 = new GaussRandomProducer(0L);
          GaussRandomProducer producer2 = new GaussRandomProducer(0L);
  
          assertEquals(producer1.get(), producer2.get(), 0.0001);
      }
test_case.class_method_signature: GaussRandomProducerTest.testSeedConsidering()
test_case.full_signature: @Test public void testSeedConsidering()
test_case.identifier: testSeedConsidering
test_case.invocations: assertEquals get get
test_case.modifiers: @Test public
test_case.parameters: ()
test_case.return: void
test_case.signature: void testSeedConsidering()
focal_class.declarator: mean
focal_class.modifier: private final
focal_class.original_string: private final double mean;
focal_class.type: double
focal_class.var_name: mean
focal_class.declarator: variance
focal_class.modifier: private final
focal_class.original_string: private final double variance;
focal_class.type: double
focal_class.var_name: variance
focal_class.file: modules/ml/src/main/java/org/apache/ignite/ml/util/generators/primitives/scalar/GaussRandomProducer.java
focal_class.identifier: GaussRandomProducer
focal_class.class_method_signature: GaussRandomProducer.GaussRandomProducer()
focal_class.full_signature: public  GaussRandomProducer()
focal_class.identifier: GaussRandomProducer
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.signature:  GaussRandomProducer()
focal_class.class_method_signature: GaussRandomProducer.GaussRandomProducer(long seed)
focal_class.full_signature: public  GaussRandomProducer(long seed)
focal_class.identifier: GaussRandomProducer
focal_class.modifiers: public
focal_class.parameters: (long seed)
focal_class.signature:  GaussRandomProducer(long seed)
focal_class.class_method_signature: GaussRandomProducer.GaussRandomProducer(double mean, double variance)
focal_class.full_signature: public  GaussRandomProducer(double mean, double variance)
focal_class.identifier: GaussRandomProducer
focal_class.modifiers: public
focal_class.parameters: (double mean, double variance)
focal_class.signature:  GaussRandomProducer(double mean, double variance)
focal_class.class_method_signature: GaussRandomProducer.GaussRandomProducer(double mean, double variance, long seed)
focal_class.full_signature: public  GaussRandomProducer(double mean, double variance, long seed)
focal_class.identifier: GaussRandomProducer
focal_class.modifiers: public
focal_class.parameters: (double mean, double variance, long seed)
focal_class.signature:  GaussRandomProducer(double mean, double variance, long seed)
focal_class.class_method_signature: GaussRandomProducer.get()
focal_class.full_signature: @Override public Double get()
focal_class.identifier: get
focal_class.modifiers: @Override public
focal_class.parameters: ()
focal_class.return: Double
focal_class.signature: Double get()
focal_class.superclass: extends RandomProducerWithGenerator
focal_method.body: @Override public Double get() {
          return mean + generator().nextGaussian() * Math.sqrt(variance);
      }
focal_method.class_method_signature: GaussRandomProducer.get()
focal_method.full_signature: @Override public Double get()
focal_method.identifier: get
focal_method.invocations: nextGaussian generator sqrt
focal_method.modifiers: @Override public
focal_method.parameters: ()
focal_method.return: Double
focal_method.signature: Double get()