`src.tools`¶

Submodules¶

`get_tensor_distance`(S1, S2, rot_tensor)	S1 has a grid lu1 x lv1 and S2 lu2 x lv2x3 with the same Np
`phi_coeff_from_nb`(k, phisize)	the coefficents of Phi are store as 1d array,
`get_matrix_dPhi`(phisize, grids)	generate the tensor (2+lc) xluxlvx2 of divergence free vector fields
`compute_j`(boldpsi, matrixd_phi, Np)
`compute_dpsi_full`(dpsi, Np)
`get_rot_tensor`(Np)
`compute_Qj`(matrixd_phi, dpsi, dS)	take only the segment whitout rotation of j
`compute_dQjdtheta`(matrixd_phi, dpsi, dS, dtheta, dSdtheta)	take only the segment whitout rotation of j
`compute_LS_old`(T, j, dS, normalp)	T is the distance tensor Npxlu1xlv1xlu2xlv2 x 3
`compute_LS`(T, matrixd_phi, dpsi, rot_tensor, normalp)	T is the distance tensor Npxlu1xlv1xlu2xlv2 x 3
`compute_dLS`(T, matrixd_phi, dpsi, rot_tensor, normalp, theta, dtildetheta)	T is the distance tensor Npxlu1xlv1xlu2xlv2 x 3

src.tools.get_tensor_distance(S1, S2, rot_tensor)¶: S1 has a grid lu1 x lv1 and S2 lu2 x lv2x3 with the same Np return the tensor Npxlu1xlv1xlu2xlv2 x 3 of the vector between such that T[i,j,k,l,m,n] is the nth coordinates bwn the rotation of 2pi i/Np psi1_j,k and psi2_l,m

src.tools.phi_coeff_from_nb(k, phisize)¶: the coefficents of Phi are store as 1d array, this function make the conversion with a 2d matrix

src.tools.get_matrix_dPhi(phisize, grids)¶: generate the tensor (2+lc) xluxlvx2 of divergence free vector fields lc is the number of fourier component given by phisize

src.tools.compute_Qj(matrixd_phi, dpsi, dS)¶: take only the segment whitout rotation of j

src.tools.compute_dQjdtheta(matrixd_phi, dpsi, dS, dtheta, dSdtheta)¶: take only the segment whitout rotation of j

src.tools.compute_LS_old(T, j, dS, normalp)¶: T is the distance tensor Npxlu1xlv1xlu2xlv2 x 3 and j the current tensor (lc+2) x Np x lu1 x lv1 x 3 dS lu1 x lv1 normalp 3 x lu2 x lv2

src.tools.compute_LS(T, matrixd_phi, dpsi, rot_tensor, normalp)¶: T is the distance tensor Npxlu1xlv1xlu2xlv2 x 3 and j the current tensor (lc+2) x Np x lu1 x lv1 x 3 dS lu1 x lv1 normalp 3 x lu2 x lv2

src.tools.compute_dLS(T, matrixd_phi, dpsi, rot_tensor, normalp, theta, dtildetheta)¶: T is the distance tensor Npxlu1xlv1xlu2xlv2 x 3 and j the current tensor (lc+2) x Np x lu1 x lv1 x 3 dS lu1 x lv1 normalp 3 x lu2 x lv2