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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def loadPrsOrd(vecRunLngth, strPathPresOrd, vecVslStim):
 """Load presentation order of motion directions. Parameters vecRunLngth : list Number of volumes in every run strPathPresOrd : str Path to the npy vector containing order of presented motion directions. vecVslStim: list Key of (stimulus) condition presented in every run Returns ------- aryPresOrdAprt : 1d numpy array, shape [n_vols] Presentation order of aperture position. aryPresOrdMtn : 1d numpy array, shape [n_vols] Presentation order of motion direction. """

    print('------Load presentation order of motion directions')
    aryPresOrd = np.empty((0, 2))
    for idx01 in range(0, len(vecRunLngth)):
        # reconstruct file name
        # ---> consider: some runs were shorter than others(replace next row)
        filename1 = (strPathPresOrd + str(vecVslStim[idx01]) +
                     '.pickle')
        # filename1 = (strPathPresOrd + str(idx01+1) + '.pickle')
        # load array
        with open(filename1, 'rb') as handle:
            array1 = pickle.load(handle)
        tempCond = array1["Conditions"]
        tempCond = tempCond[:vecRunLngth[idx01], :]
        # add temp array to aryPresOrd
        aryPresOrd = np.concatenate((aryPresOrd, tempCond), axis=0)
    aryPresOrdAprt = aryPresOrd[:, 0].astype(int)
    aryPresOrdMtn = aryPresOrd[:, 1].astype(int)

    return aryPresOrdAprt, aryPresOrdMtn