Пример #1
0
def PCSAxRhFitXX(transformed_coos, sse_ordered, exp_data, stage):
    """

    :param transformed_coos:
    :param sse_ordered:
    :param exp_data:
    :param stage:
    :return:
    """

    nh_dict = coorNHdict(transformed_coos, sse_ordered)

    pcs_data = exp_data['pcs_data']

    # print "pcs_data", pcs_data
    ntags = len(pcs_data)

    # Define Thomas's implementaion of hollow concentric shells

    metal_def = exp_data['metal_spheres']
    M = [metal_def[0], metal_def[1]]
    nM = metal_def[2]
    npts = metal_def[3]

    rMx = fastT1FM.MakeDvector(npts)  # allocate memmory
    rMy = fastT1FM.MakeDvector(npts)
    rMz = fastT1FM.MakeDvector(npts)
    fixedPointsOnSpheres(M, nM, rMx, rMy, rMz)

    # Temp storage of tensor values
    temp_tensor = []

    for tag in range(0, ntags):

        xyz_HN, smotif_pcs = matchPCS(nh_dict, pcs_data[tag])

        total_pcs, pcs_bool = usuablePCS(smotif_pcs)

        if pcs_bool:  # save some time for not running

            # Thomas's fast Tensor calc code
            frag_len = len(smotif_pcs)
            nsets = len(smotif_pcs[0])
            xyz = fastT1FM.MakeDMatrix(frag_len, 3)
            pcs = fastT1FM.MakeDMatrix(nsets, frag_len)

            for k in range(nsets):
                for j in range(frag_len):
                    fastT1FM.SetDArray(k, j, pcs, smotif_pcs[j][k])

            cm = [0.0, 0.0, 0.0]
            for j in range(frag_len):
                cm[0] = cm[0] + xyz_HN[j][0]
                cm[1] = cm[1] + xyz_HN[j][1]
                cm[2] = cm[2] + xyz_HN[j][2]
            cm[0] /= float(frag_len)
            cm[1] /= float(frag_len)
            cm[2] /= float(frag_len)
            for j in range(frag_len):
                fastT1FM.SetDArray(j, 0, xyz, xyz_HN[j][0] - cm[0])
                fastT1FM.SetDArray(j, 1, xyz, xyz_HN[j][1] - cm[1])
                fastT1FM.SetDArray(j, 2, xyz, xyz_HN[j][2] - cm[2])

            tensor = fastT1FM.MakeDMatrix(nsets, 8)
            Xaxrh_range = fastT1FM.MakeDMatrix(nsets, 4)
            for i in range(0, nsets):
                fastT1FM.SetDArray(i, 0, Xaxrh_range, 0.05)
                fastT1FM.SetDArray(i, 1, Xaxrh_range, 200.0)
                fastT1FM.SetDArray(i, 2, Xaxrh_range, 0.05)
                fastT1FM.SetDArray(i, 3, Xaxrh_range, 200.0)
            # ****
            chisqr = fastT1FM.rfastT1FM_multi(npts, rMx, rMy, rMz, nsets,
                                              frag_len, xyz, pcs, tensor,
                                              Xaxrh_range)
            # ****

            saupe_array = []

            for kk in range(nsets):
                temp_saupe = []
                for j in range(3, 8):
                    temp_saupe.append(fastT1FM.GetDArray(kk, j, tensor))
                saupe_array.append(temp_saupe)

            x = fastT1FM.GetDArray(0, 0, tensor)
            y = fastT1FM.GetDArray(0, 1, tensor)
            z = fastT1FM.GetDArray(0, 2, tensor)
            metal_pos = [x + cm[0], y + cm[1], z + cm[2]]

            # Compute and check Axial and Rhombic parameters
            AxRh = calcAxRh(saupe_array)

            # chisqr = checkAxRh(AxRh, chisqr, total_pcs, stage)  # modifies the values of chisqr
            chisqr = checkAxRhCutoffs(AxRh, chisqr, total_pcs, exp_data,
                                      stage)  # modifies the values of chisqr
            AxRh.append(metal_pos)  # add metal pos

            # Free memory
            fastT1FM.FreeDMatrix(xyz)
            fastT1FM.FreeDMatrix(pcs)
            fastT1FM.FreeDMatrix(Xaxrh_range)
            fastT1FM.FreeDMatrix(tensor)
        else:
            chisqr = 1.0e+30

        if chisqr < 1.0e+30:
            nchisqr = chisqr / float(total_pcs - (nsets * 5))
            snchisqr = nchisqr / float(math.pow(total_pcs, 1 / 3.0))
            temp_tensor.append([tag, snchisqr, AxRh])
        else:
            fastT1FM.FreeDArray(rMx)
            fastT1FM.FreeDArray(rMy)
            fastT1FM.FreeDArray(rMz)
            tfalse = []
            return tfalse

    fastT1FM.FreeDArray(rMx)
    fastT1FM.FreeDArray(rMy)
    fastT1FM.FreeDArray(rMz)

    return temp_tensor
Пример #2
0
        tensor = fastT1FM.MakeDMatrix(nsets, 8)
        ttmp = fastT1FM.MakeDvector(5)
        Xtmp = fastT1FM.MakeDvector(2)
        Xaxrh_range = fastT1FM.MakeDMatrix(nsets, 4)
        # this is specific for benchmmark set ! unless you define a broad range !!
        # Tm
        fastT1FM.SetDArray(0, 0, Xaxrh_range, 0.05)
        fastT1FM.SetDArray(0, 1, Xaxrh_range, 100.0)
        fastT1FM.SetDArray(0, 2, Xaxrh_range, 0.05)
        fastT1FM.SetDArray(0, 3, Xaxrh_range, 100.0)
                    # Tb
        fastT1FM.SetDArray(1, 0, Xaxrh_range, 0.05)
        fastT1FM.SetDArray(1, 1, Xaxrh_range, 100.0)
        fastT1FM.SetDArray(1, 2, Xaxrh_range, 0.05)
        fastT1FM.SetDArray(1, 3, Xaxrh_range, 100.0)
        chisqr = fastT1FM.rfastT1FM_multi(npts, rMx, rMy, rMz, nsets, frag_len, xyz, pcs, tensor, Xaxrh_range)

        if (chisqr < 1.0e+30):
            x = fastT1FM.GetDArray(0, 0, tensor)
            y = fastT1FM.GetDArray(0, 1, tensor)
            z = fastT1FM.GetDArray(0, 2, tensor)
            saupe_array=[]
            for kk in range(nsets):
                temp_saupe=[]
                for j in range(3,8):
                    temp_saupe.append(fastT1FM.GetDArray(kk, j, tensor))
                    fastT1FM.SetDvector(j-3, ttmp, fastT1FM.GetDArray(kk, j, tensor))
                saupe_array.append(temp_saupe)
            metalpos=[x+cm[0], y+cm[1], z+cm[2]]
            AxRh=calc_axrh(saupe_array)