Source code for sfepy.discrete.evaluate_variable

import numpy as nm

from sfepy.base.base import assert_
from sfepy.terms.extmods import terms

[docs]def eval_real(vec, conn, geo, mode, shape, bf=None): """ Evaluate basic derived quantities of a real variable given its DOF vector, connectivity and reference mapping. """ n_el, n_qp, dim, n_en, n_comp = shape dtype = nm.float64 if mode == 'val': function = terms.dq_state_in_qp out = nm.empty((n_el, n_qp, n_comp, 1), dtype=dtype) if bf is not None: function(out, vec, bf, conn) else: function(out, vec, geo.bf, conn) elif mode == 'grad': function = terms.dq_grad out = nm.empty((n_el, n_qp, dim, n_comp), dtype=dtype) function(out, vec, geo, conn) elif mode == 'div': assert_(n_comp == dim) function = terms.dq_div_vector out = nm.empty((n_el, n_qp, 1, 1), dtype=dtype) function(out, vec, geo, conn) elif mode == 'cauchy_strain': assert_(n_comp == dim) function = terms.dq_cauchy_strain sym = (dim + 1) * dim // 2 out = nm.empty((n_el, n_qp, sym, 1), dtype=dtype) function(out, vec, geo, conn) else: raise ValueError('unsupported variable evaluation mode! (%s)' % mode) return out
[docs]def eval_complex(vec, conn, geo, mode, shape, bf=None): """ Evaluate basic derived quantities of a complex variable given its DOF vector, connectivity and reference mapping. """ n_el, n_qp, dim, n_en, n_comp = shape if mode == 'val': function = terms.dq_state_in_qp rout = nm.empty((n_el, n_qp, n_comp, 1), dtype=nm.float64) iout = nm.empty((n_el, n_qp, n_comp, 1), dtype=nm.float64) if bf is not None: function(rout, vec.real.copy(), bf, conn) function(iout, vec.imag.copy(), bf, conn) else: function(rout, vec.real.copy(), geo.bf, conn) function(iout, vec.imag.copy(), geo.bf, conn) out = rout + 1j * iout elif mode == 'grad': function = terms.dq_grad rout = nm.empty((n_el, n_qp, dim, n_comp), dtype=nm.float64) iout = nm.empty((n_el, n_qp, dim, n_comp), dtype=nm.float64) function(rout, vec.real.copy(), geo, conn) function(iout, vec.imag.copy(), geo, conn) out = rout + 1j * iout elif mode == 'div': assert_(n_comp == dim) function = terms.dq_div_vector rout = nm.empty((n_el, n_qp, 1, 1), dtype=nm.float64) iout = nm.empty((n_el, n_qp, 1, 1), dtype=nm.float64) function(rout, vec.real.copy(), geo, conn) function(iout, vec.imag.copy(), geo, conn) out = rout + 1j * iout elif mode == 'cauchy_strain': assert_(n_comp == dim) function = terms.dq_cauchy_strain sym = (dim + 1) * dim // 2 rout = nm.empty((n_el, n_qp, sym, 1), dtype=nm.float64) iout = nm.empty((n_el, n_qp, sym, 1), dtype=nm.float64) function(rout, vec.real.copy(), geo, conn) function(iout, vec.imag.copy(), geo, conn) out = rout + 1j * iout else: raise ValueError('unsupported variable evaluation mode! (%s)' % mode) return out