/* file: UniformDenseBatch.java */
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 //  Content:
 //     Java example of uniform distribution

package com.intel.daal.examples.distributions;

import com.intel.daal.algorithms.distributions.*;
import com.intel.daal.algorithms.distributions.uniform.*;
import com.intel.daal.data_management.data.NumericTable;
import com.intel.daal.data_management.data.HomogenNumericTable;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;

class UniformDenseBatch {
    private static DaalContext context = new DaalContext();

    public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
        /* Create input table to fill with random numbers */
        HomogenNumericTable dataTable = new HomogenNumericTable(context, Float.class, 1, 10, NumericTable.AllocationFlag.DoAllocate);

        /* Create the algorithm */
        Batch uniform = new Batch(context, Float.class, Method.defaultDense, 0.0, 1.0);

        /* Set the algorithm input */
        uniform.input.set(InputId.tableToFill, dataTable);

        /* Set the Mersenne Twister engine to the distribution */
        com.intel.daal.algorithms.engines.mt19937.Batch eng = new com.intel.daal.algorithms.engines.mt19937.Batch(context, Float.class, com.intel.daal.algorithms.engines.mt19937.Method.defaultDense, 777);

        /* Perform computations */

        /* Print the results */
        Service.printNumericTable("Uniform distribution output:", dataTable);

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