Example usage for java.math BigInteger doubleValue

Introduction

In this page you can find the example usage for java.math BigInteger doubleValue.

Prototype

public double doubleValue() 

Source Link

Document

Converts this BigInteger to a double .

Usage

From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *///w  w  w  .  j  ava  2s .co  m
@Test
public void testAggregatedSetCollection() {

    List<WellSet> collection = new ArrayList<WellSet>();

    for (Plate plate : array) {
        collection.add(plate.dataSet());
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, mc);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : collection) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (Well well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet set : collection) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);

        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./*from   w ww  .  j  a va2s . c o  m*/
 */
@Test
public void testAggregatedPlateArrayIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

    Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(arrayIndices, begin,
            end - begin, mc);
    Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>();

    for (PlateBigInteger plate : arrayIndices) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (WellBigInteger well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateBigInteger plate : arrayIndices) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *//*  w ww  .ja  v  a  2 s  .com*/
@Test
public void testAggregatedSetArray() {

    WellSet[] setArray = new WellSet[array.length];

    for (int i = 0; i < setArray.length; i++) {
        setArray[i] = array[i].dataSet();
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(setArray, mc);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : setArray) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (Well well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet set : setArray) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);

        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }

}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from   ww w .  j av a  2  s. c om
 */
@Test
public void testAggregatedPlateCollectionIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

    List<PlateBigInteger> collection = Arrays.asList(arrayIndices);
    Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(collection, begin,
            end - begin, mc);

    Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>();

    for (PlateBigInteger plate : collection) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (WellBigInteger well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateBigInteger plate : collection) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.// w  w w .j a  va  2  s .c om
 */
@Test
public void testAggregatedSetCollectionIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

    List<WellSet> collection = new ArrayList<WellSet>();

    for (Plate plate : arrayIndices) {
        collection.add(plate.dataSet());
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, begin, end - begin, mc);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : collection) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (Well well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet set : collection) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *//*from   w w  w. ja va  2  s  .c om*/
@Test
public void testAggregatedSetCollection() {

    List<WellSetBigInteger> collection = new ArrayList<WellSetBigInteger>();

    for (PlateBigInteger plate : array) {
        collection.add(plate.dataSet());
    }

    Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, mc);
    Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>();

    for (WellSetBigInteger set : collection) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (WellBigInteger well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetBigInteger set : collection) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);

        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *//* w ww  .  j a  va2  s. c o m*/
@Test
public void testAggregatedSetArray() {

    WellSetBigInteger[] setArray = new WellSetBigInteger[array.length];

    for (int i = 0; i < setArray.length; i++) {
        setArray[i] = array[i].dataSet();
    }

    Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(setArray, mc);
    Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>();

    for (WellSetBigInteger set : setArray) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (WellBigInteger well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetBigInteger set : setArray) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);

        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }

}

---

From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.//w ww. j av  a  2 s  .  c o  m
 */
@Test
public void testAggregatedSetArrayIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

    WellSet[] setArrayIndices = new WellSet[arrayIndices.length];

    for (int i = 0; i < setArrayIndices.length; i++) {
        setArrayIndices[i] = arrayIndices[i].dataSet();
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(setArrayIndices, begin, end - begin,
            mc);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : setArrayIndices) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (Well well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet plate : setArrayIndices) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection./*from  w ww. ja  v  a  2s .  co  m*/
 */
@Test
public void testAggregatedSetCollectionIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

    List<WellSetBigInteger> collection = new ArrayList<WellSetBigInteger>();

    for (PlateBigInteger plate : arrayIndices) {
        collection.add(plate.dataSet());
    }

    Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, begin,
            end - begin, mc);
    Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>();

    for (WellSetBigInteger set : collection) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (WellBigInteger well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetBigInteger set : collection) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.// w w w . j a v a2 s. co  m
 */
@Test
public void testAggregatedSetArrayIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

    WellSetBigInteger[] setArrayIndices = new WellSetBigInteger[arrayIndices.length];

    for (int i = 0; i < setArrayIndices.length; i++) {
        setArrayIndices[i] = arrayIndices[i].dataSet();
    }

    Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(setArrayIndices, begin,
            end - begin, mc);
    Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>();

    for (WellSetBigInteger set : setArrayIndices) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();

        for (WellBigInteger well : set) {

            double[] input = new double[well.size()];
            int index = 0;

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetBigInteger plate : setArrayIndices) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

        assertEquals(corrected[0], corrected[1]);
    }
}

---

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