Examples of org.apache.commons.math.random.RandomDataImpl.nextInt()

Class org.apache.commons.math.random.RandomDataImpl

Examples of org.apache.commons.math.random.RandomDataImpl.nextInt()

org.apache.commons.math.random.RandomDataImpl.nextInt()
Generate a random int value uniformly distributed between lower and upper, inclusive. @param lower the lower bound. @param upper the upper bound. @return the random integer. @throws NumberIsTooLargeException if {@code lower >= upper}.


        ResizableDoubleArray eDA2 = new ResizableDoubleArray(2);
        assertEquals("Initial number of elements should be 0", 0, eDA2.getNumElements());


        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 1000);


        for( int i = 0; i < iterations; i++) {
            eDA2.addElement( i );
        }

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        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0f, 3.5f);
        assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );


        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 3000);


        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }

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      }
    }
    state.getMap().remove(LAST_SETTING);
    state.getMap().remove(LAST_TABLE_SETTING);
    RandomData random = new RandomDataImpl();
    if (random.nextInt(0, 1) == 0) {
      changeTableSetting(random, state, props);
    } else {
      changeSetting(random, state, props);
    }
  }

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        RandomData randomData = new RandomDataImpl();


        // Fill weights array with random int values between 1 and 5
        int[] intWeights = new int[len];
        for (int i = 0; i < len; i++) {
            intWeights[i] = randomData.nextInt(1, 5);
            weights[i] = intWeights[i];
        }


        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with

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      }
    }
    state.getMap().remove(LAST_SETTING);
    state.getMap().remove(LAST_TABLE_SETTING);
    RandomData random = new RandomDataImpl();
    if (random.nextInt(0, 1) == 0) {
      changeTableSetting(random, state, props);
    } else {
      changeSetting(random, state, props);
    }
  }

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  public static Number pickRange(NumberRange range) {
    Number result = null;
    RandomData randomData = new RandomDataImpl();


    if (range.getMinimumNumber() instanceof Integer && range.getMaximumNumber() instanceof Integer) {
      result = randomData.nextInt(range.getMinimumInteger(), range.getMaximumInteger());
    }


    if (range.getMinimumNumber() instanceof Long && range.getMaximumNumber() instanceof Long) {
      result = randomData.nextLong(range.getMinimumLong(), range.getMaximumLong());
    }

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        ResizableDoubleArray eDA2 = new ResizableDoubleArray(2);
        assertEquals("Initial number of elements should be 0", 0, eDA2.getNumElements());
        
        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 1000);
        
        for( int i = 0; i < iterations; i++) {
            eDA2.addElement( i );
        }

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        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0f, 3.5f);
        assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );
        
        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 3000);
        
        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }

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        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0f, 3.5f);
        assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );


        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 3000);


        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }

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     *
     * @return array of random double values
     */
    private double[] generateSample() {
        final RandomData randomData = new RandomDataImpl();
        final int sampleSize = randomData.nextInt(10,100);
        double[] out = new double[sampleSize];
        for (int i = 0; i < out.length; i++) {
            out[i] = randomData.nextUniform(-100, 100);
        }
        return out;

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