Examples of stallone.api.ints.IIntArray

stallone.api.ints.IIntArray
TODO: change this copy paste documentation This is a joint interface for all primitive double containers with a fixed order of elements, e.g. arrays, tables, lists. In principle real-valued tensors can also be handled by this object, although we currently provide no method to directly access more than two indexes in order to keep the interface small. Single-index based access should work on higher-order tensors as well. All IDoubleArray's have a sequence in which individual elements can be iterated. The implementing object defines this sequence. Index-based methods such as get(i), set(i, x), and the iterator operate based on this sequence. This interface is the standard way of exchanging real-valued double containers, in order to make all Classes operating with such objects compatible. This option was chosen in order to prefer flexibility and ease-to-use over strict type specificity Methods operating with double containers may return more specific objects, but should accept IDoubleArray (or IComplexArray, see below) as parameters If you want to operate with complex numbers, check out IComplexArray @author noe

    Returns arr1 with all values occuring in arr2 removed. Does not change
    the order of arr1.
     */
    public <T extends IDoubleArray> T  removeValueToNew(T arr1, IDoubleArray vals)
    {
        IIntArray indexes = this.findAll(arr1, vals);
        return (removeIndexToNew(arr1, indexes));
    }

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    {
        if (arr.size() == 0)
        {
            return (arr);
        }
        IIntArray keep = Ints.util.removeValueToNew(Ints.create.arrayRange(arr.size()), index);
        return (subRows(arr, keep));
    }

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     * Test of estimateC method, of class MarkovModelUtilities.
     */
    @Test
    public void testEstimateC_IIntArray_int()
    {
        IIntArray traj = null;
        int lag = 0;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.estimateC(traj, lag);
        assertEquals(expResult, result);

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     * Test of estimateCmilestoning method, of class MarkovModelUtilities.
     */
    @Test
    public void testEstimateCmilestoning_3args_2()
    {
        IIntArray traj = null;
        Iterable<IIntArray> cores = null;
        int lag = 0;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.estimateCmilestoning(traj, cores, lag);

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     * Test of estimateCmilestoning method, of class MarkovModelUtilities.
     */
    @Test
    public void testEstimateCmilestoning_IIntArray_int()
    {
        IIntArray traj = null;
        int lag = 0;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.estimateCmilestoning(traj, lag);
        assertEquals(expResult, result);

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     * Test of estimateCstepping method, of class MarkovModelUtilities.
     */
    @Test
    public void testEstimateCstepping_IIntArray_int()
    {
        IIntArray traj = null;
        int lag = 0;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.estimateCstepping(traj, lag);
        assertEquals(expResult, result);

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    {
        Iterable<IIntArray> dtraj = null;
        ICountMatrixEstimator Cest = null;
        ITransitionMatrixEstimator Test = null;
        int ntimescales = 0;
        IIntArray lagtimes = null;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.timescales(dtraj, Cest, Test, ntimescales, lagtimes);
        assertEquals(expResult, result);
        // TODO review the generated test code and remove the default call to fail.

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    public void testMetastableStates()
    {
        IDoubleArray M = null;
        int nstates = 0;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IIntArray expResult = null;
        IIntArray result = instance.metastableStates(M, nstates);
        assertEquals(expResult, result);
        // TODO review the generated test code and remove the default call to fail.
        fail("The test case is a prototype.");
    }

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     */
    @Test
    public void testForwardCommittor()
    {
        IDoubleArray M = null;
        IIntArray A = null;
        IIntArray B = null;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.forwardCommittor(M, A, B);
        assertEquals(expResult, result);
        // TODO review the generated test code and remove the default call to fail.

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     */
    @Test
    public void testBackwardCommittor()
    {
        IDoubleArray M = null;
        IIntArray A = null;
        IIntArray B = null;
        MarkovModelUtilities instance = new MarkovModelUtilities();
        IDoubleArray expResult = null;
        IDoubleArray result = instance.backwardCommittor(M, A, B);
        assertEquals(expResult, result);
        // TODO review the generated test code and remove the default call to fail.

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