Merge branch 'development' of magit1.mpie.de:damask/DAMASK into development
This commit is contained in:
Philip Eisenlohr
commit
9103ee544b
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@ -1,4 +1,3 @@
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!--------------------------------------------------------------------------------------------------
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!> @author Franz Roters, Max-Planck-Institut für Eisenforschung GmbH
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!> @author Philip Eisenlohr, Max-Planck-Institut für Eisenforschung GmbH
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!> @brief material subroutine for phenomenological crystal plasticity formulation using a powerlaw
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@ -60,6 +59,7 @@ module plastic_phenopowerlaw
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plastic_phenopowerlaw_tau0_slip, & !< initial critical shear stress for slip (input parameter, per family)
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plastic_phenopowerlaw_tau0_twin, & !< initial critical shear stress for twin (input parameter, per family)
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plastic_phenopowerlaw_tausat_slip, & !< maximum critical shear stress for slip (input parameter, per family)
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plastic_phenopowerlaw_H_int, & !< per family hardening activity(input parameter(optional), per family)
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plastic_phenopowerlaw_nonSchmidCoeff, &
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plastic_phenopowerlaw_interaction_SlipSlip, & !< interaction factors slip - slip (input parameter)
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@ -197,29 +197,30 @@ subroutine plastic_phenopowerlaw_init(fileUnit)
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source=0_pInt)
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allocate(plastic_phenopowerlaw_output(maxval(phase_Noutput),maxNinstance))
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plastic_phenopowerlaw_output = ''
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allocate(plastic_phenopowerlaw_outputID(maxval(phase_Noutput),maxNinstance), source=undefined_ID)
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allocate(plastic_phenopowerlaw_Noutput(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_Nslip(lattice_maxNslipFamily,maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_Ntwin(lattice_maxNtwinFamily,maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_Ntrans(lattice_maxNtransFamily,maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_totalNslip(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_totalNtwin(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_totalNtrans(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_gdot0_slip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_n_slip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_tau0_slip(lattice_maxNslipFamily,maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_outputID(maxval(phase_Noutput),maxNinstance),source=undefined_ID)
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allocate(plastic_phenopowerlaw_Noutput(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_Nslip(lattice_maxNslipFamily,maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_Ntwin(lattice_maxNtwinFamily,maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_Ntrans(lattice_maxNtransFamily,maxNinstance),source=0_pInt)
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allocate(plastic_phenopowerlaw_totalNslip(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_totalNtwin(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_totalNtrans(maxNinstance), source=0_pInt)
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allocate(plastic_phenopowerlaw_gdot0_slip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_n_slip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_tau0_slip(lattice_maxNslipFamily,maxNinstance),source=0.0_pReal)
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allocate(plastic_phenopowerlaw_tausat_slip(lattice_maxNslipFamily,maxNinstance),source=0.0_pReal)
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allocate(plastic_phenopowerlaw_gdot0_twin(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_n_twin(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_tau0_twin(lattice_maxNtwinFamily,maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_spr(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinB(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinC(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinD(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinE(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_h0_SlipSlip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_h0_TwinSlip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_h0_TwinTwin(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_H_int(lattice_maxNslipFamily,maxNinstance),source=0.0_pReal)
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allocate(plastic_phenopowerlaw_gdot0_twin(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_n_twin(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_tau0_twin(lattice_maxNtwinFamily,maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_spr(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinB(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinC(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinD(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_twinE(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_h0_SlipSlip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_h0_TwinSlip(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_h0_TwinTwin(maxNinstance), source=0.0_pReal)
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allocate(plastic_phenopowerlaw_interaction_SlipSlip(lattice_maxNinteraction,maxNinstance), &
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source=0.0_pReal)
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allocate(plastic_phenopowerlaw_interaction_SlipTwin(lattice_maxNinteraction,maxNinstance), &
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@ -340,7 +341,7 @@ subroutine plastic_phenopowerlaw_init(fileUnit)
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do j = 1_pInt, Nchunks_SlipFamilies
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plastic_phenopowerlaw_Nslip(j,instance) = IO_intValue(line,chunkPos,1_pInt+j)
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enddo
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case ('tausat_slip','tau0_slip')
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case ('tausat_slip','tau0_slip','H_int')
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tempPerSlip = 0.0_pReal
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do j = 1_pInt, Nchunks_SlipFamilies
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if (plastic_phenopowerlaw_Nslip(j,instance) > 0_pInt) &
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@ -351,6 +352,8 @@ subroutine plastic_phenopowerlaw_init(fileUnit)
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plastic_phenopowerlaw_tausat_slip(1:Nchunks_SlipFamilies,instance) = tempPerSlip(1:Nchunks_SlipFamilies)
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case ('tau0_slip')
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plastic_phenopowerlaw_tau0_slip(1:Nchunks_SlipFamilies,instance) = tempPerSlip(1:Nchunks_SlipFamilies)
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case ('H_int')
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plastic_phenopowerlaw_H_int(1:Nchunks_SlipFamilies,instance) = tempPerSlip(1:Nchunks_SlipFamilies)
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end select
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!--------------------------------------------------------------------------------------------------
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! parameters depending on number of twin families
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@ -967,7 +970,6 @@ subroutine plastic_phenopowerlaw_dotState(Tstar_v,ipc,ip,el)
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offset_accshear_twin = nSlip + nTwin + 2_pInt + nSlip
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plasticState(ph)%dotState(:,of) = 0.0_pReal
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!--------------------------------------------------------------------------------------------------
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! system-independent (nonlinear) prefactors to M_Xx (X influenced by x) matrices
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c_SlipSlip = plastic_phenopowerlaw_h0_SlipSlip(instance)*&
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@ -986,7 +988,7 @@ subroutine plastic_phenopowerlaw_dotState(Tstar_v,ipc,ip,el)
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index_myFamily = sum(lattice_NslipSystem(1:f-1_pInt,ph)) ! at which index starts my family
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slipSystems1: do i = 1_pInt,plastic_phenopowerlaw_Nslip(f,instance)
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j = j+1_pInt
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left_SlipSlip(j) = 1.0_pReal ! no system-dependent left part
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left_SlipSlip(j) = 1.0_pReal + plastic_phenopowerlaw_H_int(f,instance) ! modified no system-dependent left part
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left_SlipTwin(j) = 1.0_pReal ! no system-dependent left part
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right_SlipSlip(j) = abs(1.0_pReal-plasticState(ph)%state(j,of) / &
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(plastic_phenopowerlaw_tausat_slip(f,instance)+ssat_offset)) &
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@ -1013,6 +1015,7 @@ subroutine plastic_phenopowerlaw_dotState(Tstar_v,ipc,ip,el)
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enddo slipFamilies1
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j = 0_pInt
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twinFamilies1: do f = 1_pInt,lattice_maxNtwinFamily
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index_myFamily = sum(lattice_NtwinSystem(1:f-1_pInt,ph)) ! at which index starts my family
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@ -1,4 +1,3 @@
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### $Id$ ###
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[all]
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(output) phase
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(output) texture
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@ -1,2 +1 @@
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### $Id$ ###
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[none]
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@ -1,4 +1,3 @@
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### $Id$ ###
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[aLittleSomething]
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(output) f
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(output) p
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@ -1,4 +1,3 @@
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### $Id$ ###
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damage nonlocal
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initialDamage 1.0
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(output) damage
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@ -1,4 +1,3 @@
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### $Id$ ###
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hydrogenflux cahnhilliard
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initialHydrogenConc 0.0
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(output) hydrogenconc
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Parallel3]
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type isostrain
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Ngrains 3
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@ -1,4 +1,3 @@
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### $Id$ ###
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[SX]
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type isostrain
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Ngrains 1
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Taylor2]
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type isostrain
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Ngrains 2
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@ -1,4 +1,3 @@
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### $Id$ ###
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[directSX]
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type none
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@ -1,3 +1,2 @@
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### $Id$ ###
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porosity phasefield
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(output) porosity
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@ -1,4 +1,3 @@
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### $Id$ ###
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[8Grains]
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type RGC
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Ngrains 8
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@ -1,4 +1,3 @@
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### $Id$ ###
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thermal conduction
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initialT 300.0
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(output) temperature
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@ -1,4 +1,3 @@
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### $Id$ ###
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vacancyflux cahnhilliard
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initialVacancyConc 1e-6
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(output) vacancyconc
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@ -1,4 +1,3 @@
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### $Id$ ###
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[SX]
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type isostrain
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Ngrains 1
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@ -1,3 +1,2 @@
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### $Id$ ###
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(kinematics) vacancy_strain
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vacancy_strain_coeff 0.006
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@ -1,3 +1,2 @@
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### $Id$ ###
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(kinematics) thermal_expansion
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thermal_expansion11 0.00231
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@ -1,3 +1,2 @@
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### $Id$ ###
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(kinematics) hydrogen_strain
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hydrogen_strain_coeff 0.06
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@ -1,4 +1,3 @@
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### $Id$ ###
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[DP_Steel]
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/elementhomogeneous/
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crystallite 1
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@ -1,4 +1,3 @@
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### $Id$ ###
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[ElementHomogeneous]
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/elementhomogeneous/ # put this flag to set ips identical in one element (something like reduced integration)
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crystallite 1
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@ -1,3 +1,2 @@
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### $Id$ ###
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damage_diffusion11 1.0
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damage_mobility 0.001
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@ -1,4 +1,3 @@
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### $Id$ ###
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[TWIP_Steel_FeMnC]
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elasticity hooke
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Tungsten]
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elasticity hooke
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@ -1,4 +1,3 @@
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### $Id$ ###
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hydrogenflux_diffusion11 1.0
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hydrogenflux_mobility11 1.0
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hydrogenVolume 1e-28
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Aluminum_Isotropic]
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# Kuo, J. C., Mikrostrukturmechanik von Bikristallen mit Kippkorngrenzen. Shaker-Verlag 2004. http://edoc.mpg.de/204079
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@ -1,4 +1,3 @@
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### $Id$ ###
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[IsotropicVolumePreservation]
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elasticity hooke
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Orthorombic]
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elasticity hooke
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Aluminum]
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elasticity hooke
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Aluminum]
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elasticity hooke
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plasticity phenopowerlaw
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@ -1,4 +1,3 @@
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### $Id$ ###
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# Tasan et.al. 2015 Acta Materalia
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# Tasan et.al. 2015 International Journal of Plasticity
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# Diehl et.al. 2015 Meccanica
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|
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@ -1,4 +1,3 @@
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### $Id$ ###
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# Tasan et.al. 2015 Acta Materalia
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# Tasan et.al. 2015 International Journal of Plasticity
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# Diehl et.al. 2015 Meccanica
|
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|
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@ -1,4 +1,3 @@
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### $Id$ ###
|
||||
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|
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# parameters fitted by D. Ma to:
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|
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@ -1,4 +1,3 @@
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### $Id$ ###
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[cpTi-alpha]
|
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plasticity phenopowerlaw
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elasticity hooke
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|
|
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|
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@ -1,4 +1,3 @@
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### $Id$ ###
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[Aluminum]
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elasticity hooke
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plasticity phenopowerlaw
|
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|
|
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|
|
@ -1,3 +1,2 @@
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### $Id$ ###
|
||||
porosity_diffusion11 1.0
|
||||
porosity_mobility 0.001
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
thermal_conductivity11 237.0
|
||||
specific_heat 910.0
|
||||
mass_density 2700.0
|
||||
|
|
|
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|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
vacancyflux_diffusion11 1.0
|
||||
vacancyflux_mobility11 1.0
|
||||
vacancyFormationEnergy 1e-19
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
(source) damage_isoBrittle
|
||||
isobrittle_criticalStrainEnergy 1400000.0
|
||||
isobrittle_atol 0.01
|
||||
|
|
|
|||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
(source) thermal_dissipation
|
||||
dissipation_ColdWorkCoeff 0.95
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
(source) vacancy_irradiation
|
||||
irradiation_cascadeprobability 0.00001
|
||||
irradiation_cascadevolume 1000.0
|
||||
|
|
|
|||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
(source) vacancy_phenoplasticity
|
||||
phenoplasticity_ratecoeff 0.01
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
[FiberExample]
|
||||
axes x y -z # model coordinate x-, y-, z-axes correspond to which axes during texture measurement? this was a left handed coordinate system!
|
||||
# fiber axis in spherical coordinates: alpha crystal system, beta sample system
|
||||
|
|
|
|||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
[001]
|
||||
(gauss) phi1 0.000 Phi 0.000 phi2 0.000 scatter 0.000 fraction 1.000
|
||||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
[101]
|
||||
(gauss) phi1 0.000 Phi 45.000 phi2 90.000 scatter 0.000 fraction 1.000
|
||||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
[111]
|
||||
(gauss) phi1 0.000 Phi 54.7356 phi2 45.000 scatter 0.000 fraction 1.000
|
||||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
[123]
|
||||
(gauss) phi1 209.805 Phi 29.206 phi2 63.435 scatter 0.000 fraction 1.000
|
||||
|
|
@ -1,3 +1,2 @@
|
|||
### $Id$ ###
|
||||
[RandomSingleCrystals]
|
||||
(random) scatter 0.000 fraction 1.000
|
||||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
[Rolling]
|
||||
hybridIA rollingTexture.linearODF
|
||||
symmetry orthotropic # or monoclinic
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
### debugging parameters ###
|
||||
|
||||
# example:
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
### numerical parameters ###
|
||||
|
||||
# The material.config file needs to specify five parts:
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
### $Id$ ###
|
||||
### numerical parameters ###
|
||||
|
||||
relevantStrain 1.0e-7 # strain increment considered significant (used by crystallite to determine whether strain inc is considered significant)
|
||||
|
|
|
|||
|
|
@ -1,7 +1,3 @@
|
|||
#####################
|
||||
# $Id$
|
||||
#####################
|
||||
|
||||
#-------------------#
|
||||
<homogenization>
|
||||
#-------------------#
|
||||
|
|
|
|||
|
|
@ -1,7 +1,3 @@
|
|||
#####################
|
||||
# $Id$
|
||||
#####################
|
||||
|
||||
#-------------------#
|
||||
<homogenization>
|
||||
#-------------------#
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,glob,string,subprocess,shlex
|
||||
import os,sys,glob,subprocess,shlex
|
||||
from damask import Environment
|
||||
from damask import version as DAMASKVERSION
|
||||
|
||||
|
|
@ -47,9 +47,13 @@ compileOptions = ' -DSpectral -DFLOAT=8 -DINT=4 -I%s/lib -DDAMASKVERSION=\\\\\"\
|
|||
|
||||
#--- this saves the path of libraries to core.so, hence it is known during runtime ----------------
|
||||
if options['F90'] == 'gfortran':
|
||||
LDFLAGS = '-shared -Wl,-undefined,dynamic_lookup' # solved error: Undefined symbols for architecture x86_64: "_PyArg_ParseTupleAndKeywords" as found on https://lists.macosforge.org/pipermail/macports-dev/2013-May/022735.html
|
||||
# solved error: Undefined symbols for architecture x86_64: "_PyArg_ParseTupleAndKeywords"
|
||||
# as found on https://lists.macosforge.org/pipermail/macports-dev/2013-May/022735.html
|
||||
LDFLAGS = '-shared -Wl,-undefined,dynamic_lookup'
|
||||
else:
|
||||
LDFLAGS = ' -openmp -Wl' # some f2py versions/configurations compile with openMP, so linking against openMP is needed to prevent errors during loading of core module
|
||||
# some f2py versions/configurations compile with openMP, so linking against openMP is needed
|
||||
# to prevent errors during loading of core module
|
||||
LDFLAGS = ' -openmp -Wl'
|
||||
|
||||
#--- run path of for fftw during runtime ----------------------------------------------------------
|
||||
LDFLAGS += ',-rpath,%s/lib,-rpath,%s/lib64'%(options['FFTW_ROOT'],options['FFTW_ROOT'])
|
||||
|
|
|
|||
|
|
@ -1,7 +1,6 @@
|
|||
#
|
||||
# DAMASK Abaqus Environment File
|
||||
#
|
||||
# $Id$
|
||||
# ------------------------------------
|
||||
# originally taken from Abaqus ver. 6.11.1
|
||||
#
|
||||
|
|
|
|||
|
|
@ -1,7 +1,6 @@
|
|||
#
|
||||
# DAMASK Abaqus Environment File
|
||||
#
|
||||
# $Id$
|
||||
# ------------------------------------
|
||||
# originally taken from Abaqus ver. 6.11.1
|
||||
#
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# Makes postprocessing routines acessible from everywhere.
|
||||
|
|
|
|||
|
|
@ -1,7 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
import os,sys
|
||||
import numpy as np
|
||||
|
||||
|
|
@ -27,7 +25,7 @@ class ASCIItable():
|
|||
self.__IO__ = {'output': [],
|
||||
'buffered': buffered,
|
||||
'labeled': labeled, # header contains labels
|
||||
'labels': [], # labels according to file info
|
||||
'tags': [], # labels according to file info
|
||||
'readBuffer': [], # buffer to hold non-advancing reads
|
||||
'dataStart': 0,
|
||||
}
|
||||
|
|
@ -51,7 +49,7 @@ class ASCIItable():
|
|||
self.__IO__['out'] = outname
|
||||
|
||||
self.info = []
|
||||
self.labels = []
|
||||
self.tags = []
|
||||
self.data = []
|
||||
self.line = ''
|
||||
|
||||
|
|
@ -141,10 +139,10 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def head_read(self):
|
||||
"""
|
||||
get column labels by either reading
|
||||
|
||||
the first row or, if keyword "head[*]" is present,
|
||||
the last line of the header
|
||||
get column labels
|
||||
|
||||
by either reading the first row or,
|
||||
if keyword "head[*]" is present, the last line of the header
|
||||
"""
|
||||
import re,shlex
|
||||
|
||||
|
|
@ -161,7 +159,7 @@ class ASCIItable():
|
|||
if self.__IO__['labeled']: # table features labels
|
||||
|
||||
self.info = [self.__IO__['in'].readline().strip() for i in xrange(1,int(m.group(1)))]
|
||||
self.labels = shlex.split(self.__IO__['in'].readline()) # store labels found in last line
|
||||
self.tags = shlex.split(self.__IO__['in'].readline()) # store tags found in last line
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -180,11 +178,11 @@ class ASCIItable():
|
|||
else: break # last line of comments
|
||||
|
||||
if self.__IO__['labeled']: # table features labels
|
||||
self.labels = self.data # get labels from last line in "header"...
|
||||
self.tags = self.data # get tags from last line in "header"...
|
||||
self.data_read() # ...and remove from buffer
|
||||
|
||||
if self.__IO__['labeled']: # table features labels
|
||||
self.__IO__['labels'] = list(self.labels) # backup labels (make COPY, not link)
|
||||
if self.__IO__['labeled']: # table features tags
|
||||
self.__IO__['tags'] = list(self.tags) # backup tags (make COPY, not link)
|
||||
|
||||
try:
|
||||
self.__IO__['dataStart'] = self.__IO__['in'].tell() # current file position is at start of data
|
||||
|
|
@ -197,7 +195,7 @@ class ASCIItable():
|
|||
"""write current header information (info + labels)"""
|
||||
head = ['{}\theader'.format(len(self.info)+self.__IO__['labeled'])] if header else []
|
||||
head.append(self.info)
|
||||
if self.__IO__['labeled']: head.append('\t'.join(map(self._quote,self.labels)))
|
||||
if self.__IO__['labeled']: head.append('\t'.join(map(self._quote,self.tags)))
|
||||
|
||||
return self.output_write(head)
|
||||
|
||||
|
|
@ -261,19 +259,57 @@ class ASCIItable():
|
|||
try:
|
||||
for item in what: self.labels_append(item)
|
||||
except:
|
||||
self.labels += [self._removeCRLF(str(what))]
|
||||
self.tags += [self._removeCRLF(str(what))]
|
||||
else:
|
||||
self.labels += [self._removeCRLF(what)]
|
||||
self.tags += [self._removeCRLF(what)]
|
||||
|
||||
self.__IO__['labeled'] = True # switch on processing (in particular writing) of labels
|
||||
if reset: self.__IO__['labels'] = list(self.labels) # subsequent data_read uses current labels as data size
|
||||
self.__IO__['labeled'] = True # switch on processing (in particular writing) of tags
|
||||
if reset: self.__IO__['tags'] = list(self.tags) # subsequent data_read uses current tags as data size
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
def labels_clear(self):
|
||||
"""delete existing labels and switch to no labeling"""
|
||||
self.labels = []
|
||||
self.tags = []
|
||||
self.__IO__['labeled'] = False
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
def labels(self,
|
||||
tags = None,
|
||||
raw = False):
|
||||
"""
|
||||
tell abstract labels.
|
||||
|
||||
"x" for "1_x","2_x",... unless raw output is requested.
|
||||
operates on object tags or given list.
|
||||
"""
|
||||
from collections import Iterable
|
||||
|
||||
if tags is None: tags = self.tags
|
||||
|
||||
if isinstance(tags, Iterable) and not raw: # check whether list of tags is requested
|
||||
id = 0
|
||||
dim = 1
|
||||
labelList = []
|
||||
|
||||
while id < len(tags):
|
||||
if not tags[id].startswith('1_'):
|
||||
labelList.append(tags[id])
|
||||
else:
|
||||
label = tags[id][2:] # get label
|
||||
while id < len(tags) and tags[id] == '{}_{}'.format(dim,label): # check successors
|
||||
id += 1 # next label...
|
||||
dim += 1 # ...should be one higher dimension
|
||||
labelList.append(label) # reached end --> store
|
||||
id -= 1 # rewind one to consider again
|
||||
|
||||
id += 1
|
||||
dim = 1
|
||||
|
||||
else:
|
||||
labelList = self.tags
|
||||
|
||||
return labelList
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
def label_index(self,
|
||||
labels):
|
||||
|
|
@ -293,10 +329,10 @@ class ASCIItable():
|
|||
idx.append(int(label)-1) # column given as integer number?
|
||||
except ValueError:
|
||||
try:
|
||||
idx.append(self.labels.index(label)) # locate string in label list
|
||||
idx.append(self.tags.index(label)) # locate string in label list
|
||||
except ValueError:
|
||||
try:
|
||||
idx.append(self.labels.index('1_'+label)) # locate '1_'+string in label list
|
||||
idx.append(self.tags.index('1_'+label)) # locate '1_'+string in label list
|
||||
except ValueError:
|
||||
idx.append(-1) # not found...
|
||||
else:
|
||||
|
|
@ -304,10 +340,10 @@ class ASCIItable():
|
|||
idx = int(labels)-1 # offset for python array indexing
|
||||
except ValueError:
|
||||
try:
|
||||
idx = self.labels.index(labels)
|
||||
idx = self.tags.index(labels)
|
||||
except ValueError:
|
||||
try:
|
||||
idx = self.labels.index('1_'+labels) # locate '1_'+string in label list
|
||||
idx = self.tags.index('1_'+labels) # locate '1_'+string in label list
|
||||
except ValueError:
|
||||
idx = None if labels is None else -1
|
||||
|
||||
|
|
@ -332,16 +368,16 @@ class ASCIItable():
|
|||
try: # column given as number?
|
||||
idx = int(label)-1
|
||||
myDim = 1 # if found has at least dimension 1
|
||||
if self.labels[idx].startswith('1_'): # column has multidim indicator?
|
||||
while idx+myDim < len(self.labels) and self.labels[idx+myDim].startswith("%i_"%(myDim+1)):
|
||||
if self.tags[idx].startswith('1_'): # column has multidim indicator?
|
||||
while idx+myDim < len(self.tags) and self.tags[idx+myDim].startswith("%i_"%(myDim+1)):
|
||||
myDim += 1 # add while found
|
||||
except ValueError: # column has string label
|
||||
if label in self.labels: # can be directly found?
|
||||
if label in self.tags: # can be directly found?
|
||||
myDim = 1 # scalar by definition
|
||||
elif '1_'+label in self.labels: # look for first entry of possible multidim object
|
||||
idx = self.labels.index('1_'+label) # get starting column
|
||||
elif '1_'+label in self.tags: # look for first entry of possible multidim object
|
||||
idx = self.tags.index('1_'+label) # get starting column
|
||||
myDim = 1 # (at least) one-dimensional
|
||||
while idx+myDim < len(self.labels) and self.labels[idx+myDim].startswith("%i_"%(myDim+1)):
|
||||
while idx+myDim < len(self.tags) and self.tags[idx+myDim].startswith("%i_"%(myDim+1)):
|
||||
myDim += 1 # keep adding while going through object
|
||||
|
||||
dim.append(myDim)
|
||||
|
|
@ -351,16 +387,16 @@ class ASCIItable():
|
|||
try: # column given as number?
|
||||
idx = int(labels)-1
|
||||
dim = 1 # if found has at least dimension 1
|
||||
if self.labels[idx].startswith('1_'): # column has multidim indicator?
|
||||
while idx+dim < len(self.labels) and self.labels[idx+dim].startswith("%i_"%(dim+1)):
|
||||
if self.tags[idx].startswith('1_'): # column has multidim indicator?
|
||||
while idx+dim < len(self.tags) and self.tags[idx+dim].startswith("%i_"%(dim+1)):
|
||||
dim += 1 # add as long as found
|
||||
except ValueError: # column has string label
|
||||
if labels in self.labels: # can be directly found?
|
||||
if labels in self.tags: # can be directly found?
|
||||
dim = 1 # scalar by definition
|
||||
elif '1_'+labels in self.labels: # look for first entry of possible multidim object
|
||||
idx = self.labels.index('1_'+labels) # get starting column
|
||||
elif '1_'+labels in self.tags: # look for first entry of possible multidim object
|
||||
idx = self.tags.index('1_'+labels) # get starting column
|
||||
dim = 1 # is (at least) one-dimensional
|
||||
while idx+dim < len(self.labels) and self.labels[idx+dim].startswith("%i_"%(dim+1)):
|
||||
while idx+dim < len(self.tags) and self.tags[idx+dim].startswith("%i_"%(dim+1)):
|
||||
dim += 1 # keep adding while going through object
|
||||
|
||||
return np.array(dim) if isinstance(dim,Iterable) else dim
|
||||
|
|
@ -404,8 +440,8 @@ class ASCIItable():
|
|||
def data_rewind(self):
|
||||
self.__IO__['in'].seek(self.__IO__['dataStart']) # position file to start of data section
|
||||
self.__IO__['readBuffer'] = [] # delete any non-advancing data reads
|
||||
self.labels = list(self.__IO__['labels']) # restore label info found in header (as COPY, not link)
|
||||
self.__IO__['labeled'] = len(self.labels) > 0
|
||||
self.tags = list(self.__IO__['tags']) # restore label info found in header (as COPY, not link)
|
||||
self.__IO__['labeled'] = len(self.tags) > 0
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
def data_skipLines(self,
|
||||
|
|
@ -432,8 +468,8 @@ class ASCIItable():
|
|||
self.line = self.line.rstrip('\n')
|
||||
|
||||
if self.__IO__['labeled'] and respectLabels: # if table has labels
|
||||
items = shlex.split(self.line)[:len(self.__IO__['labels'])] # use up to label count (from original file info)
|
||||
self.data = items if len(items) == len(self.__IO__['labels']) else [] # take entries if label count matches
|
||||
items = shlex.split(self.line)[:len(self.__IO__['tags'])] # use up to label count (from original file info)
|
||||
self.data = items if len(items) == len(self.__IO__['tags']) else [] # take entries if label count matches
|
||||
else:
|
||||
self.data = shlex.split(self.line) # otherwise take all
|
||||
|
||||
|
|
@ -470,7 +506,7 @@ class ASCIItable():
|
|||
1))
|
||||
use = np.array(columns)
|
||||
|
||||
self.labels = list(np.array(self.labels)[use]) # update labels with valid subset
|
||||
self.tags = list(np.array(self.tags)[use]) # update labels with valid subset
|
||||
|
||||
self.data = np.loadtxt(self.__IO__['in'],usecols=use,ndmin=2)
|
||||
|
||||
|
|
@ -545,8 +581,8 @@ class ASCIItable():
|
|||
def datatype(item):
|
||||
return int(item) if type.lower() == 'i' else float(item)
|
||||
|
||||
N = grid.prod() # expected number of microstructure indices in data
|
||||
microstructure = np.zeros(N,type) # initialize as flat array
|
||||
N = grid.prod() # expected number of microstructure indices in data
|
||||
microstructure = np.zeros(N,type) # initialize as flat array
|
||||
|
||||
i = 0
|
||||
while i < N and self.data_read():
|
||||
|
|
@ -557,7 +593,7 @@ class ASCIItable():
|
|||
else: items = map(datatype,items)
|
||||
else: items = map(datatype,items)
|
||||
|
||||
s = min(len(items), N-i) # prevent overflow of microstructure array
|
||||
s = min(len(items), N-i) # prevent overflow of microstructure array
|
||||
microstructure[i:i+s] = items[:s]
|
||||
i += len(items)
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
import re
|
||||
|
||||
class Section():
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
import os,subprocess,shlex
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
import damask.geometry
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
from .geometry import Geometry
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
from .geometry import Geometry
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
import numpy as np
|
||||
import sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
from distutils.core import setup
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
from .solver import Solver
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
from .solver import Solver
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
import damask.solver
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
from .solver import Solver
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
|
||||
import os,sys,shutil
|
||||
import logging,logging.config
|
||||
|
|
@ -41,7 +40,7 @@ class Test():
|
|||
+'----------------------------------------------------------------')
|
||||
self.dirBase = os.path.dirname(os.path.realpath(sys.modules[self.__class__.__module__].__file__))
|
||||
self.parser = OptionParser(
|
||||
description = test_description+' (using class: $Id$)',
|
||||
description = test_description+' (using class: {})'.format(damask.version),
|
||||
usage='./test.py [options]')
|
||||
self.updateRequested = False
|
||||
self.parser.add_option("-d", "--debug", action="store_true",\
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
#!/usr/bin/python
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import threading,os,string
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,string,scipy
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,string,vtk
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import threading,time,os
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,re,fnmatch,vtk
|
||||
|
|
@ -227,7 +227,7 @@ for filename in args:
|
|||
locol = -1
|
||||
|
||||
for col,head in enumerate(headings):
|
||||
if head == {True:'1_ipinitialcoord',False:'1_nodeinitialcoord'}[options.cell]:
|
||||
if head == {True:'1_pos',False:'1_nodeinitialcoord'}[options.cell]:
|
||||
locol = col
|
||||
maxcol = max(maxcol,col+3)
|
||||
break
|
||||
|
|
@ -430,4 +430,4 @@ for filename in args:
|
|||
vtk = open(os.path.join(head,what+'_'+os.path.splitext(tail)[0]+'.vtk'), 'w')
|
||||
output(out[what],{'filepointer':vtk},'File')
|
||||
vtk.close()
|
||||
print
|
||||
print
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -10,16 +10,12 @@ import damask
|
|||
scriptName = os.path.splitext(os.path.basename(__file__))[0]
|
||||
scriptID = ' '.join([scriptName,damask.version])
|
||||
|
||||
def unravel(item):
|
||||
if hasattr(item,'__contains__'): return ' '.join(map(unravel,item))
|
||||
else: return str(item)
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# MAIN
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
|
||||
Add column(s) with derived values according to user-defined arithmetic operation between column(s).
|
||||
Add or alter column(s) with derived values according to user-defined arithmetic operation between column(s).
|
||||
Column labels are tagged by '#label#' in formulas. Use ';' for ',' in functions.
|
||||
Numpy is available as np.
|
||||
|
||||
|
|
@ -37,6 +33,13 @@ parser.add_option('-f','--formula',
|
|||
action = 'extend', metavar = '<string LIST>',
|
||||
help = '(list of) formulas corresponding to labels')
|
||||
|
||||
parser.add_option('-c','--condition',
|
||||
dest = 'condition', metavar='string',
|
||||
help = 'condition to filter rows')
|
||||
|
||||
parser.set_defaults(condition = None,
|
||||
)
|
||||
|
||||
(options,filenames) = parser.parse_args()
|
||||
|
||||
if options.labels is None or options.formulas is None:
|
||||
|
|
@ -53,7 +56,10 @@ if filenames == []: filenames = [None]
|
|||
|
||||
for name in filenames:
|
||||
try:
|
||||
table = damask.ASCIItable(name = name, buffered = False)
|
||||
table = damask.ASCIItable(name = name,
|
||||
buffered = False)
|
||||
output = damask.ASCIItable(name = name,
|
||||
buffered = False)
|
||||
except:
|
||||
continue
|
||||
damask.util.report(scriptName,name)
|
||||
|
|
@ -62,14 +68,41 @@ for name in filenames:
|
|||
|
||||
table.head_read()
|
||||
|
||||
# ------------------------------------------ build formulae ----------------------------------------
|
||||
|
||||
# -----------------------------------------------------------------------------------------------------
|
||||
specials = { \
|
||||
'_row_': 0,
|
||||
}
|
||||
|
||||
# ------------------------------------------ Evaluate condition ---------------------------------------
|
||||
if options.condition:
|
||||
interpolator = []
|
||||
condition = options.condition # copy per file, since might be altered inline
|
||||
breaker = False
|
||||
|
||||
for position,operand in enumerate(set(re.findall(r'#(([s]#)?(.+?))#',condition))): # find three groups
|
||||
condition = condition.replace('#'+operand[0]+'#',
|
||||
{ '': '{%i}'%position,
|
||||
's#':'"{%i}"'%position}[operand[1]])
|
||||
if operand[2] in specials: # special label
|
||||
interpolator += ['specials["%s"]'%operand[2]]
|
||||
else:
|
||||
try:
|
||||
interpolator += ['%s(table.data[%i])'%({ '':'float',
|
||||
's#':'str'}[operand[1]],
|
||||
table.label_index(operand[2]))] # ccould be generalized to indexrange as array lookup
|
||||
except:
|
||||
damask.util.croak('column "{}" not found.'.format(operand[2]))
|
||||
breaker = True
|
||||
|
||||
if breaker: continue # found mistake in condition evaluation --> next file
|
||||
|
||||
evaluator_condition = "'" + condition + "'.format(" + ','.join(interpolator) + ")"
|
||||
|
||||
else: condition = ''
|
||||
|
||||
# ------------------------------------------ build formulae ----------------------------------------
|
||||
|
||||
evaluator = {}
|
||||
brokenFormula = {}
|
||||
|
||||
for label,formula in zip(options.labels,options.formulas):
|
||||
for column in re.findall(r'#(.+?)#',formula): # loop over column labels in formula
|
||||
|
|
@ -82,15 +115,15 @@ for name in filenames:
|
|||
elif dim > 1: # multidimensional input (vector, tensor, etc.)
|
||||
replacement = 'np.array(table.data[{}:{}],dtype=float)'.format(idx,idx+dim) # use (flat) array representation
|
||||
else:
|
||||
damask.util.croak('column {} not found...'.format(column))
|
||||
brokenFormula[label] = True
|
||||
damask.util.croak('column {} not found, skipping {}...'.format(column,label))
|
||||
options.labels.remove(label)
|
||||
break
|
||||
|
||||
formula = formula.replace('#'+column+'#',replacement)
|
||||
|
||||
if label not in brokenFormula:
|
||||
evaluator[label] = formula
|
||||
|
||||
evaluator[label] = formula
|
||||
|
||||
|
||||
# ------------------------------------------ process data ------------------------------------------
|
||||
|
||||
firstLine = True
|
||||
|
|
@ -98,32 +131,53 @@ for name in filenames:
|
|||
|
||||
while outputAlive and table.data_read(): # read next data line of ASCII table
|
||||
specials['_row_'] += 1 # count row
|
||||
|
||||
output.data_clear()
|
||||
|
||||
# ------------------------------------------ calculate one result to get length of labels ---------
|
||||
|
||||
if firstLine:
|
||||
firstLine = False
|
||||
labelDim = {}
|
||||
for label in [x for x in options.labels if x not in set(brokenFormula)]:
|
||||
for label in [x for x in options.labels]:
|
||||
labelDim[label] = np.size(eval(evaluator[label]))
|
||||
if labelDim[label] == 0: brokenFormula[label] = True
|
||||
if labelDim[label] == 0: options.labels.remove(label)
|
||||
|
||||
# ------------------------------------------ assemble header ---------------------------------------
|
||||
|
||||
if label not in brokenFormula:
|
||||
table.labels_append(['{}_{}'.format(i+1,label) for i in xrange(labelDim[label])] if labelDim[label] > 1
|
||||
else label)
|
||||
output.labels_clear()
|
||||
tabLabels = table.labels()
|
||||
for label in tabLabels:
|
||||
dim = labelDim[label] if label in options.labels \
|
||||
else table.label_dimension(label)
|
||||
output.labels_append(['{}_{}'.format(i+1,label) for i in xrange(dim)] if dim > 1 else label)
|
||||
|
||||
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
|
||||
table.head_write()
|
||||
for label in options.labels:
|
||||
if label in tabLabels: continue
|
||||
output.labels_append(['{}_{}'.format(i+1,label) for i in xrange(labelDim[label])]
|
||||
if labelDim[label] > 1
|
||||
else label)
|
||||
|
||||
output.info = table.info
|
||||
output.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
|
||||
output.head_write()
|
||||
|
||||
# ------------------------------------------ process data ------------------------------------------
|
||||
|
||||
for label in [x for x in options.labels if x not in set(brokenFormula)]:
|
||||
table.data_append(unravel(eval(evaluator[label])))
|
||||
for label in output.labels():
|
||||
oldIndices = table.label_indexrange(label)
|
||||
Nold = max(1,len(oldIndices)) # Nold could be zero for new columns
|
||||
Nnew = len(output.label_indexrange(label))
|
||||
output.data_append(eval(evaluator[label]) if label in options.labels and
|
||||
(condition == '' or eval(eval(evaluator_condition)))
|
||||
else np.tile([table.data[i] for i in oldIndices]
|
||||
if label in tabLabels
|
||||
else np.nan,
|
||||
np.ceil(float(Nnew)/Nold))[:Nnew]) # spread formula result into given number of columns
|
||||
|
||||
outputAlive = table.data_write() # output processed line
|
||||
outputAlive = output.data_write() # output processed line
|
||||
|
||||
# ------------------------------------------ output finalization -----------------------------------
|
||||
# ------------------------------------------ output finalization -----------------------------------
|
||||
|
||||
table.close() # close ASCII tables
|
||||
table.input_close() # close ASCII tables
|
||||
output.close() # close ASCII tables
|
||||
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
@ -64,10 +64,12 @@ for name in filenames:
|
|||
errors = []
|
||||
remarks = []
|
||||
|
||||
if table.label_dimension(options.pos) != 3: errors.append('coordinates {} are not a vector.'.format(options.pos))
|
||||
if table.label_dimension(options.pos) != 3:
|
||||
errors.append('coordinates "{}" are not a vector.'.format(options.pos))
|
||||
else: colCoord = table.label_index(options.pos)
|
||||
|
||||
if table.label_dimension(options.defgrad) != 9: errors.append('deformation gradient {} is not a tensor.'.format(options.defgrad))
|
||||
if table.label_dimension(options.defgrad) != 9:
|
||||
errors.append('deformation gradient "{}" is not a tensor.'.format(options.defgrad))
|
||||
else: colF = table.label_index(options.defgrad)
|
||||
|
||||
if remarks != []: damask.util.croak(remarks)
|
||||
|
|
@ -91,21 +93,21 @@ for name in filenames:
|
|||
maxcorner = np.array(map(max,coords))
|
||||
grid = np.array(map(len,coords),'i')
|
||||
size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
|
||||
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 set to smallest among other spacings
|
||||
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # grid==1 spacing set to smallest among other ones
|
||||
|
||||
N = grid.prod()
|
||||
|
||||
# --------------- figure out columns to process ---------------------------------------------------
|
||||
key = '1_%s'%options.defgrad
|
||||
if key not in table.labels:
|
||||
file['croak'].write('column %s not found...\n'%key)
|
||||
key = '1_'+options.defgrad
|
||||
if table.label_index(key) == -1:
|
||||
damask.util.croak('column "{}" not found...'.format(key))
|
||||
continue
|
||||
else:
|
||||
column = table.labels.index(key) # remember columns of requested data
|
||||
column = table.label_index(key) # remember columns of requested data
|
||||
|
||||
# ------------------------------------------ assemble header ---------------------------------------
|
||||
if options.shape: table.labels_append(['shapeMismatch(%s)' %options.defgrad])
|
||||
if options.volume: table.labels_append(['volMismatch(%s)'%options.defgrad])
|
||||
if options.shape: table.labels_append(['shapeMismatch({})'.format(options.defgrad)])
|
||||
if options.volume: table.labels_append(['volMismatch({})'.format(options.defgrad)])
|
||||
table.head_write()
|
||||
|
||||
# ------------------------------------------ read deformation gradient field -----------------------
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,itertools
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,time,copy
|
||||
import numpy as np
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,math
|
||||
|
|
|
|||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue