Merge branch 'development' of magit1.mpie.de:damask/DAMASK into miscImprovements
This commit is contained in:
Martin Diehl
commit
c05307a273
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@ -150,6 +150,7 @@ program DAMASK_spectral
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MPI_file_get_position, &
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MPI_file_write, &
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MPI_abort, &
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MPI_finalize, &
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MPI_allreduce, &
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PETScFinalize
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@ -230,8 +231,6 @@ program DAMASK_spectral
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endif
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do j = 1_pInt, 9_pInt
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temp_maskVector(j) = IO_stringValue(line,chunkPos,i+j) /= '*' ! true if not a *
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enddo
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do j = 1_pInt,9_pInt
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if (temp_maskVector(j)) temp_valueVector(j) = IO_floatValue(line,chunkPos,i+j) ! read value where applicable
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enddo
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loadCases(currentLoadCase)%deformation%maskLogical = & ! logical mask in 3x3 notation
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@ -243,8 +242,6 @@ program DAMASK_spectral
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temp_valueVector = 0.0_pReal
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do j = 1_pInt, 9_pInt
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temp_maskVector(j) = IO_stringValue(line,chunkPos,i+j) /= '*' ! true if not an asterisk
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enddo
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do j = 1_pInt,9_pInt
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if (temp_maskVector(j)) temp_valueVector(j) = IO_floatValue(line,chunkPos,i+j) ! read value where applicable
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enddo
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loadCases(currentLoadCase)%P%maskLogical = transpose(reshape(temp_maskVector,[ 3,3]))
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@ -301,14 +298,14 @@ program DAMASK_spectral
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write(6,'(1x,a,i6)') 'load case: ', currentLoadCase
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if (.not. loadCases(currentLoadCase)%followFormerTrajectory) &
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write(6,'(2x,a)') 'drop guessing along trajectory'
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if (loadCases(currentLoadCase)%deformation%myType=='l') then
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if (loadCases(currentLoadCase)%deformation%myType == 'l') then
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do j = 1_pInt, 3_pInt
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if (any(loadCases(currentLoadCase)%deformation%maskLogical(j,1:3) .eqv. .true.) .and. &
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any(loadCases(currentLoadCase)%deformation%maskLogical(j,1:3) .eqv. .false.)) &
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errorID = 832_pInt ! each row should be either fully or not at all defined
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enddo
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write(6,'(2x,a)') 'velocity gradient:'
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else if (loadCases(currentLoadCase)%deformation%myType=='f') then
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else if (loadCases(currentLoadCase)%deformation%myType == 'f') then
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write(6,'(2x,a)') 'deformation gradient at end of load case:'
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else
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write(6,'(2x,a)') 'deformation gradient rate:'
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@ -337,7 +334,7 @@ program DAMASK_spectral
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enddo; write(6,'(/)',advance='no')
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enddo
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if (any(abs(math_mul33x33(loadCases(currentLoadCase)%rotation, &
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math_transpose33(loadCases(currentLoadCase)%rotation))-math_I3) >&
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math_transpose33(loadCases(currentLoadCase)%rotation))-math_I3) > &
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reshape(spread(tol_math_check,1,9),[ 3,3]))&
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.or. abs(math_det33(loadCases(currentLoadCase)%rotation)) > &
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1.0_pReal + tol_math_check) errorID = 846_pInt ! given rotation matrix contains strain
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@ -377,7 +374,7 @@ program DAMASK_spectral
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call Polarisation_init
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case default
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call IO_error(error_ID = 891, ext_msg = trim(spectral_solver))
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call IO_error(error_ID = 891_pInt, ext_msg = trim(spectral_solver))
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end select
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@ -427,29 +424,30 @@ program DAMASK_spectral
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allocate(outputSize(worldsize), source = 0_MPI_OFFSET_KIND)
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outputSize(worldrank+1) = size(materialpoint_results,kind=MPI_OFFSET_KIND)*int(pReal,MPI_OFFSET_KIND)
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call MPI_allreduce(MPI_IN_PLACE,outputSize,worldsize,MPI_LONG,MPI_SUM,PETSC_COMM_WORLD,ierr) ! get total output size over each process
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if(ierr /=0_pInt) call IO_error(894_pInt, ext_msg='MPI_allreduce')
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if (ierr /= 0_pInt) call IO_error(error_ID=894_pInt, ext_msg='MPI_allreduce')
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call MPI_file_open(PETSC_COMM_WORLD, &
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trim(getSolverWorkingDirectoryName())//trim(getSolverJobName())//'.spectralOut', &
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MPI_MODE_WRONLY + MPI_MODE_APPEND, &
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MPI_INFO_NULL, &
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resUnit, &
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ierr)
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if(ierr /=0_pInt) call IO_error(894_pInt, ext_msg='MPI_file_open')
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if (ierr /= 0_pInt) call IO_error(error_ID=894_pInt, ext_msg='MPI_file_open')
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call MPI_file_get_position(resUnit,fileOffset,ierr) ! get offset from header
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if(ierr /=0_pInt) call IO_error(894_pInt, ext_msg='MPI_file_get_position')
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if (ierr /= 0_pInt) call IO_error(error_ID=894_pInt, ext_msg='MPI_file_get_position')
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fileOffset = fileOffset + sum(outputSize(1:worldrank)) ! offset of my process in file (header + processes before me)
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call MPI_file_seek (resUnit,fileOffset,MPI_SEEK_SET,ierr)
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if(ierr /=0_pInt) call IO_error(894_pInt, ext_msg='MPI_file_seek')
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if (ierr /= 0_pInt) call IO_error(error_ID=894_pInt, ext_msg='MPI_file_seek')
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if (.not. appendToOutFile) then ! if not restarting, write 0th increment
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do i=1, size(materialpoint_results,3)/(maxByteOut/(materialpoint_sizeResults*pReal))+1 ! slice the output of my process in chunks not exceeding the limit for one output
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outputIndex=int([(i-1_pInt)*((maxRealOut)/materialpoint_sizeResults)+1_pInt, &
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do i = 1, size(materialpoint_results,3)/(maxByteOut/(materialpoint_sizeResults*pReal))+1 ! slice the output of my process in chunks not exceeding the limit for one output
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outputIndex = int([(i-1_pInt)*((maxRealOut)/materialpoint_sizeResults)+1_pInt, &
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min(i*((maxRealOut)/materialpoint_sizeResults),size(materialpoint_results,3))],pLongInt)
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call MPI_file_write(resUnit,reshape(materialpoint_results(:,:,outputIndex(1):outputIndex(2)),&
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call MPI_file_write(resUnit, &
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reshape(materialpoint_results(:,:,outputIndex(1):outputIndex(2)), &
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[(outputIndex(2)-outputIndex(1)+1)*materialpoint_sizeResults]), &
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(outputIndex(2)-outputIndex(1)+1)*materialpoint_sizeResults,&
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(outputIndex(2)-outputIndex(1)+1)*materialpoint_sizeResults, &
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MPI_DOUBLE, MPI_STATUS_IGNORE, ierr)
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if(ierr /=0_pInt) call IO_error(894_pInt, ext_msg='MPI_file_write')
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if (ierr /= 0_pInt) call IO_error(error_ID=894_pInt, ext_msg='MPI_file_write')
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enddo
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fileOffset = fileOffset + sum(outputSize) ! forward to current file position
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if (worldrank == 0) &
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@ -488,7 +486,7 @@ program DAMASK_spectral
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endif
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timeinc = timeinc / 2.0_pReal**real(cutBackLevel,pReal) ! depending on cut back level, decrease time step
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forwarding: if(totalIncsCounter >= restartInc) then
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forwarding: if (totalIncsCounter >= restartInc) then
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stepFraction = 0_pInt
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!--------------------------------------------------------------------------------------------------
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@ -594,7 +592,7 @@ program DAMASK_spectral
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guess,timeinc,timeIncOld,remainingLoadCaseTime)
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end select
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if(.not. solres(field)%converged) exit ! no solution found
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if (.not. solres(field)%converged) exit ! no solution found
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enddo
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stagIter = stagIter + 1_pInt
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stagIterate = stagIter < stagItMax .and. &
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@ -709,6 +707,13 @@ program DAMASK_spectral
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call PETScFinalize(ierr); CHKERRQ(ierr)
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#ifdef _OPENMP
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call MPI_finalize(i)
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if (i /= 0_pInt) then
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call IO_error(error_ID=894, el=i, ext_msg="Finalize()")
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endif
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#endif
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if (notConvergedCounter > 0_pInt) call quit(3_pInt) ! error if some are not converged
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call quit(0_pInt) ! no complains ;)
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113
code/Makefile
113
code/Makefile
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@ -257,10 +257,10 @@ COMPILE_OPTIONS_gfortran :=-DDAMASKVERSION=\"${DAMASKVERSION}\"\
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#-Wunsafe-loop-optimizations: warn if the loop cannot be optimized due to nontrivial assumptions.
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#-Wstrict-overflow:
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DEBUG_OPTIONS_gfortran :=-g\
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-fbacktrace\
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-fdump-core\
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-fcheck=all\
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DEBUG_OPTIONS_gfortran :=-g \
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-fbacktrace \
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-fdump-core \
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-fcheck=all \
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-ffpe-trap=invalid,zero,overflow
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###################################################################################################
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@ -300,37 +300,60 @@ COMPILE =$(OPENMP_FLAG_$(F90)) $(STANDARD_CHECK_$(F90)) $(OPTIMIZATION_$
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COMPILE_MAXOPTI =$(OPENMP_FLAG_$(F90)) $(STANDARD_CHECK_$(F90)) $(OPTIMIZATION_$(MAXOPTI)_$(F90)) $(COMPILE_OPTIONS_$(F90)) $(INCLUDE_DIRS) $(PRECISION_$(F90))
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###################################################################################################
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SOURCE_FILES = \
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source_thermal_dissipation.o source_thermal_externalheat.o \
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source_damage_isoBrittle.o source_damage_isoDuctile.o source_damage_anisoBrittle.o source_damage_anisoDuctile.o \
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source_vacancy_phenoplasticity.o source_vacancy_irradiation.o source_vacancy_thermalfluc.o
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source_thermal_dissipation.o \
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source_thermal_externalheat.o \
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source_damage_isoBrittle.o \
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source_damage_isoDuctile.o \
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source_damage_anisoBrittle.o \
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source_damage_anisoDuctile.o \
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source_vacancy_phenoplasticity.o \
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source_vacancy_irradiation.o \
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source_vacancy_thermalfluc.o
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KINEMATICS_FILES = \
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kinematics_cleavage_opening.o kinematics_slipplane_opening.o \
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kinematics_cleavage_opening.o \
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kinematics_slipplane_opening.o \
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kinematics_thermal_expansion.o \
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kinematics_vacancy_strain.o kinematics_hydrogen_strain.o
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kinematics_vacancy_strain.o \
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kinematics_hydrogen_strain.o
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PLASTIC_FILES = \
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plastic_dislotwin.o plastic_disloUCLA.o plastic_isotropic.o \
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plastic_phenopowerlaw.o plastic_titanmod.o plastic_nonlocal.o plastic_none.o \
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plastic_dislotwin.o \
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plastic_disloUCLA.o \
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plastic_isotropic.o \
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plastic_phenopowerlaw.o \
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plastic_titanmod.o \
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plastic_nonlocal.o \
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plastic_none.o \
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plastic_phenoplus.o
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THERMAL_FILES = \
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thermal_isothermal.o thermal_adiabatic.o thermal_conduction.o
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thermal_isothermal.o \
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thermal_adiabatic.o \
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thermal_conduction.o
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DAMAGE_FILES = \
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damage_none.o damage_local.o damage_nonlocal.o
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damage_none.o \
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damage_local.o \
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damage_nonlocal.o
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VACANCYFLUX_FILES = \
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vacancyflux_isoconc.o vacancyflux_isochempot.o vacancyflux_cahnhilliard.o
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vacancyflux_isoconc.o \
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vacancyflux_isochempot.o \
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vacancyflux_cahnhilliard.o
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POROSITY_FILES = \
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porosity_none.o porosity_phasefield.o
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porosity_none.o \
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porosity_phasefield.o
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HYDROGENFLUX_FILES = \
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hydrogenflux_isoconc.o hydrogenflux_cahnhilliard.o
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hydrogenflux_isoconc.o \
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hydrogenflux_cahnhilliard.o
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HOMOGENIZATION_FILES = \
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homogenization_RGC.o homogenization_isostrain.o homogenization_none.o
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homogenization_RGC.o \
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homogenization_isostrain.o \
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homogenization_none.o
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#####################
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# Spectral Solver
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@ -351,11 +374,28 @@ DAMASK_spectral.o: INTERFACENAME := spectral_interface.f90
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SPECTRAL_SOLVER_FILES = spectral_mech_AL.o spectral_mech_Basic.o spectral_mech_Polarisation.o \
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spectral_thermal.o spectral_damage.o
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SPECTRAL_FILES = C_routines.o system_routines.o prec.o DAMASK_interface.o IO.o numerics.o debug.o math.o \
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FEsolving.o mesh.o material.o lattice.o \
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$(SOURCE_FILES) $(KINEMATICS_FILES) $(PLASTIC_FILES) constitutive.o \
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SPECTRAL_FILES = C_routines.o \
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system_routines.o \
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prec.o \
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DAMASK_interface.o \
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IO.o \
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numerics.o \
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debug.o \
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math.o \
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FEsolving.o \
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mesh.o \
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material.o \
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lattice.o \
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$(SOURCE_FILES) \
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$(KINEMATICS_FILES) \
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$(PLASTIC_FILES) \
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constitutive.o \
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crystallite.o \
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$(THERMAL_FILES) $(DAMAGE_FILES) $(VACANCYFLUX_FILES) $(HYDROGENFLUX_FILES) $(POROSITY_FILES) \
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$(THERMAL_FILES) \
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$(DAMAGE_FILES) \
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$(VACANCYFLUX_FILES) \
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$(HYDROGENFLUX_FILES) \
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$(POROSITY_FILES) \
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$(HOMOGENIZATION_FILES) homogenization.o \
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CPFEM2.o \
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spectral_utilities.o \
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@ -401,14 +441,31 @@ DAMASK_FEM.exe: INCLUDE_DIRS += -I./
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FEM_SOLVER_FILES = FEM_mech.o FEM_thermal.o FEM_damage.o FEM_vacancyflux.o FEM_porosity.o FEM_hydrogenflux.o
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FEM_FILES = prec.o DAMASK_interface.o FEZoo.o IO.o numerics.o debug.o math.o \
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FEsolving.o mesh.o material.o lattice.o \
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$(SOURCE_FILES) $(KINEMATICS_FILES) $(PLASTIC_FILES) constitutive.o \
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FEM_FILES = prec.o \
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DAMASK_interface.o \
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FEZoo.o \
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IO.o \
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numerics.o \
|
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debug.o \
|
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math.o \
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FEsolving.o \
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mesh.o \
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material.o \
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lattice.o \
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$(SOURCE_FILES) \
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$(KINEMATICS_FILES) \
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$(PLASTIC_FILES) \
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constitutive.o \
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crystallite.o \
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$(THERMAL_FILES) $(DAMAGE_FILES) $(VACANCYFLUX_FILES) $(HYDROGENFLUX_FILES) $(POROSITY_FILES) \
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$(THERMAL_FILES) \
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$(DAMAGE_FILES) \
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$(VACANCYFLUX_FILES) \
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$(HYDROGENFLUX_FILES) \
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$(POROSITY_FILES) \
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$(HOMOGENIZATION_FILES) homogenization.o \
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CPFEM.o \
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FEM_utilities.o $(FEM_SOLVER_FILES)
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FEM_utilities.o \
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$(FEM_SOLVER_FILES)
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DAMASK_FEM.exe: DAMASK_FEM_driver.o
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$(PREFIX) $(LINKERNAME) $(OPENMP_FLAG_$(F90)) $(LINK_OPTIONS_$(F90)) $(STANDARD_CHECK_$(F90)) $(OPTIMIZATION_$(MAXOPTI)_$(F90)) \
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|
@ -658,8 +715,8 @@ tidy:
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@rm -rf *.inst.f90 # for instrumentation
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@rm -rf *.pomp.f90 # for instrumentation
|
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@rm -rf *.pp.f90 # for instrumentation
|
||||
@rm -rf *.pdb # for instrumnentation
|
||||
@rm -rf *.opari.inc # for instrumnentation
|
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@rm -rf *.pdb # for instrumentation
|
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@rm -rf *.opari.inc # for instrumentation
|
||||
|
||||
.PHONY: cleanDAMASK
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cleanDAMASK:
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|
|
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|
@ -11,7 +11,15 @@ bin_link = { \
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],
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}
|
||||
|
||||
MarcReleases =[2011,2012,2013,2013.1,2014,2014.2,2015]
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||||
MarcReleases =[ \
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'2011',
|
||||
'2012',
|
||||
'2013',
|
||||
'2013.1',
|
||||
'2014',
|
||||
'2014.2',
|
||||
'2015',
|
||||
]
|
||||
|
||||
damaskEnv = damask.Environment()
|
||||
baseDir = damaskEnv.relPath('code/')
|
||||
|
|
@ -20,27 +28,41 @@ binDir = damaskEnv.options['DAMASK_BIN']
|
|||
if not os.path.isdir(binDir):
|
||||
os.mkdir(binDir)
|
||||
|
||||
for dir in bin_link:
|
||||
for file in bin_link[dir]:
|
||||
src = os.path.abspath(os.path.join(baseDir,dir,file))
|
||||
if os.path.exists(src):
|
||||
sym_link = os.path.abspath(os.path.join(binDir,\
|
||||
{True: dir,
|
||||
False:os.path.splitext(file)[0]}[file == '']))
|
||||
if os.path.lexists(sym_link): os.remove(sym_link)
|
||||
os.symlink(src,sym_link)
|
||||
sys.stdout.write(sym_link+' -> '+src+'\n')
|
||||
sys.stdout.write('\nsymbolic linking...\n')
|
||||
|
||||
for subDir in bin_link:
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||||
theDir = os.path.abspath(os.path.join(baseDir,subDir))
|
||||
sys.stdout.write('\n'+binDir+' ->\n'+theDir+damask.util.deemph(' ...')+'\n')
|
||||
|
||||
for theFile in bin_link[subDir]:
|
||||
theName,theExt = os.path.splitext(theFile)
|
||||
src = os.path.abspath(os.path.join(theDir,theFile))
|
||||
|
||||
for version in MarcReleases:
|
||||
src = os.path.abspath(os.path.join(baseDir,'DAMASK_marc.f90'))
|
||||
if os.path.exists(src):
|
||||
sym_link = os.path.abspath(os.path.join(baseDir,'DAMASK_marc'+str(version)+'.f90'))
|
||||
sym_link = os.path.abspath(os.path.join(binDir,subDir if theFile == '' else theName))
|
||||
|
||||
if os.path.lexists(sym_link):
|
||||
os.remove(sym_link)
|
||||
sys.stdout.write(sym_link)
|
||||
output = theName+damask.util.deemph(theExt)
|
||||
else:
|
||||
sys.stdout.write(damask.util.emph(sym_link))
|
||||
output = damask.util.emph(theName)+damask.util.deemph(theExt)
|
||||
|
||||
sys.stdout.write(damask.util.deemph('... ')+output+'\n')
|
||||
os.symlink(src,sym_link)
|
||||
sys.stdout.write(' -> '+src+'\n')
|
||||
|
||||
|
||||
sys.stdout.write('\nMSC.Marc versioning...\n\n')
|
||||
theMaster = 'DAMASK_marc.f90'
|
||||
|
||||
for version in MarcReleases:
|
||||
src = os.path.abspath(os.path.join(baseDir,theMaster))
|
||||
if os.path.exists(src):
|
||||
sym_link = os.path.abspath(os.path.join(baseDir,'DAMASK_marc{}.f90'.format(version)))
|
||||
if os.path.lexists(sym_link):
|
||||
os.remove(sym_link)
|
||||
output = version
|
||||
else:
|
||||
output = damask.util.emph(version)
|
||||
|
||||
sys.stdout.write(' '+output+'\n')
|
||||
os.symlink(theMaster,sym_link)
|
||||
|
|
|
|||
|
|
@ -13,23 +13,47 @@ if not os.path.isdir(binDir):
|
|||
os.mkdir(binDir)
|
||||
|
||||
#define ToDo list
|
||||
processing_subDirs = ['pre','post','misc',]
|
||||
processing_extensions = ['.py','.sh',]
|
||||
processing_subDirs = ['pre',
|
||||
'post',
|
||||
'misc',
|
||||
]
|
||||
processing_extensions = ['.py',
|
||||
'.sh',
|
||||
]
|
||||
|
||||
sys.stdout.write('\nsymbolic linking...\n')
|
||||
|
||||
for subDir in processing_subDirs:
|
||||
theDir = os.path.abspath(os.path.join(baseDir,subDir))
|
||||
|
||||
sys.stdout.write('\n'+binDir+' ->\n'+theDir+damask.util.deemph(' ...')+'\n')
|
||||
|
||||
for theFile in os.listdir(theDir):
|
||||
if os.path.splitext(theFile)[1] in processing_extensions: # only consider files with proper extensions
|
||||
theName,theExt = os.path.splitext(theFile)
|
||||
if theExt in processing_extensions: # only consider files with proper extensions
|
||||
|
||||
src = os.path.abspath(os.path.join(theDir,theFile))
|
||||
sym_link = os.path.abspath(os.path.join(binDir,os.path.splitext(theFile)[0]))
|
||||
sym_link = os.path.abspath(os.path.join(binDir,theName))
|
||||
|
||||
if os.path.lexists(sym_link):
|
||||
os.remove(sym_link)
|
||||
sys.stdout.write(sym_link)
|
||||
output = theName+damask.util.deemph(theExt)
|
||||
else:
|
||||
sys.stdout.write(damask.util.emph(sym_link))
|
||||
output = damask.util.emph(theName)+damask.util.deemph(theExt)
|
||||
|
||||
sys.stdout.write(damask.util.deemph('... ')+output+'\n')
|
||||
os.symlink(src,sym_link)
|
||||
sys.stdout.write(' -> '+src+'\n')
|
||||
|
||||
|
||||
sys.stdout.write('\npruning broken links...\n')
|
||||
|
||||
brokenLinks = 0
|
||||
|
||||
for filename in os.listdir(binDir):
|
||||
path = os.path.join(binDir,filename)
|
||||
if os.path.islink(path) and not os.path.exists(path):
|
||||
sys.stdout.write(' '+damask.util.delete(path)+'\n')
|
||||
os.remove(path)
|
||||
brokenLinks += 1
|
||||
|
||||
sys.stdout.write(('none.' if brokenLinks == 0 else '')+'\n')
|
||||
|
|
|
|||
|
|
@ -17,40 +17,47 @@ class Test():
|
|||
|
||||
variants = []
|
||||
|
||||
def __init__(self,test_description):
|
||||
def __init__(self,description = ''):
|
||||
|
||||
logger = logging.getLogger()
|
||||
logger.setLevel(0)
|
||||
fh = logging.FileHandler('test.log') # create file handler which logs even debug messages
|
||||
fh.setLevel(logging.DEBUG)
|
||||
full = logging.Formatter('%(asctime)s - %(levelname)s: \n%(message)s')
|
||||
fh.setFormatter(full)
|
||||
fh.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s: \n%(message)s'))
|
||||
|
||||
ch = logging.StreamHandler(stream=sys.stdout) # create console handler with a higher log level
|
||||
ch.setLevel(logging.INFO)
|
||||
# create formatter and add it to the handlers
|
||||
plain = logging.Formatter('%(message)s')
|
||||
ch.setFormatter(plain)
|
||||
# add the handlers to the logger
|
||||
ch.setFormatter(logging.Formatter('%(message)s'))
|
||||
|
||||
logger = logging.getLogger()
|
||||
logger.addHandler(fh)
|
||||
logger.addHandler(ch)
|
||||
logger.setLevel(0)
|
||||
|
||||
logging.info('!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n' \
|
||||
+'----------------------------------------------------------------\n' \
|
||||
+'| '+test_description+'\n' \
|
||||
+'----------------------------------------------------------------')
|
||||
logging.info('\n'.join(['+'*40,
|
||||
'-'*40,
|
||||
'| '+description,
|
||||
'-'*40,
|
||||
]))
|
||||
self.dirBase = os.path.dirname(os.path.realpath(sys.modules[self.__class__.__module__].__file__))
|
||||
self.parser = OptionParser(
|
||||
description = test_description+' (using class: {})'.format(damask.version),
|
||||
usage='./test.py [options]')
|
||||
self.updateRequested = False
|
||||
self.parser.add_option("-d", "--debug", action="store_true",\
|
||||
dest="debug",\
|
||||
help="debug run, don't calculate but use existing results")
|
||||
self.parser.add_option("-p", "--pass", action="store_true",\
|
||||
dest="accept",\
|
||||
help="calculate results but always consider test as successfull")
|
||||
self.parser.set_defaults(debug=False,
|
||||
accept=False)
|
||||
|
||||
self.parser = OptionParser(description = '{} (using class: {})'.format(description,damask.version),
|
||||
usage = './test.py [options]')
|
||||
self.parser.add_option("-d", "--debug",
|
||||
action = "store_true",
|
||||
dest = "debug",
|
||||
help = "debug run, don't calculate but use existing results")
|
||||
self.parser.add_option("-p", "--pass",
|
||||
action = "store_true",
|
||||
dest = "accept",
|
||||
help = "calculate results but always consider test as successfull")
|
||||
self.parser.add_option("-u", "--update",
|
||||
action = "store_true",
|
||||
dest = "update",
|
||||
help = "use current test results as new reference"
|
||||
)
|
||||
self.parser.set_defaults(debug = False,
|
||||
accept = False,
|
||||
update = False,
|
||||
)
|
||||
|
||||
def execute(self):
|
||||
"""Run all variants and report first failure."""
|
||||
|
|
@ -65,15 +72,17 @@ class Test():
|
|||
return variant+1 # return culprit
|
||||
return 0
|
||||
else:
|
||||
if not self.testPossible(): return -1
|
||||
if not self.feasible(): return -1
|
||||
|
||||
self.clean()
|
||||
self.prepareAll()
|
||||
for variant in xrange(len(self.variants)):
|
||||
|
||||
for variant,name in enumerate(self.variants):
|
||||
try:
|
||||
self.prepare(variant)
|
||||
self.run(variant)
|
||||
self.postprocess(variant)
|
||||
if self.updateRequested: # update requested
|
||||
if self.options.update: # update requested
|
||||
self.update(variant)
|
||||
elif not (self.options.accept or self.compare(variant)): # no update, do comparison
|
||||
return variant+1 # return culprit
|
||||
|
|
@ -82,8 +91,8 @@ class Test():
|
|||
return variant+1 # return culprit
|
||||
return 0
|
||||
|
||||
def testPossible(self):
|
||||
"""Check if test is possible or not (e.g. no license available)."""
|
||||
def feasible(self):
|
||||
"""Check whether test is possible or not (e.g. no license available)."""
|
||||
return True
|
||||
|
||||
def clean(self):
|
||||
|
|
@ -458,17 +467,13 @@ class Test():
|
|||
columns = [None], # list of list of column labels (per file)
|
||||
rtol = 1e-5,
|
||||
atol = 1e-8,
|
||||
preFilter = -1.0,
|
||||
postFilter = -1.0,
|
||||
debug = False):
|
||||
"""
|
||||
compare tables with np.allclose
|
||||
|
||||
threshold can be used to ignore small values (a negative number disables this feature)
|
||||
"""
|
||||
"""compare tables with np.allclose"""
|
||||
if not (isinstance(files, Iterable) and not isinstance(files, str)): # check whether list of files is requested
|
||||
files = [str(files)]
|
||||
|
||||
if len(files) < 2: return True # single table is always close to itself...
|
||||
|
||||
tables = [damask.ASCIItable(name = filename,readonly = True) for filename in files]
|
||||
for table in tables:
|
||||
table.head_read()
|
||||
|
|
@ -477,7 +482,7 @@ class Test():
|
|||
columns = columns[:len(files)] # truncate to same length as files
|
||||
|
||||
for i,column in enumerate(columns):
|
||||
if column is None: columns[i] = tables[i].labels(raw = True) # if no column is given, read all
|
||||
if column is None: columns[i] = tables[i].labels(raw = True) # if no column is given, use all
|
||||
|
||||
logging.info('comparing ASCIItables')
|
||||
for i in xrange(len(columns)):
|
||||
|
|
@ -487,37 +492,37 @@ class Test():
|
|||
)
|
||||
logging.info(files[i]+':'+','.join(columns[i]))
|
||||
|
||||
if len(files) < 2: return True # single table is always close to itself...
|
||||
|
||||
maximum = np.zeros(len(columns[0]),dtype='f')
|
||||
data = []
|
||||
for table,labels in zip(tables,columns):
|
||||
# peek into the ASCII table to figure out real table size
|
||||
# the cryptic table header does not share the same size as real
|
||||
# table
|
||||
table.data_readArray(columns[0])
|
||||
maximum = np.zeros(table.data.shape[1], dtype='f')
|
||||
data = [] # list of feature table extracted from each file (ASCII table)
|
||||
for table, labels in zip(tables, columns):
|
||||
table.data_readArray(labels)
|
||||
data.append(np.where(np.abs(table.data)<preFilter,np.zeros_like(table.data),table.data))
|
||||
maximum += np.abs(table.data).max(axis=0)
|
||||
for label in labels:
|
||||
idx = table.label_indexrange(label)
|
||||
maximum[idx] = np.maximum(maximum[idx],
|
||||
np.amax(np.linalg.norm(table.data[:,idx],axis=1)))
|
||||
data.append(table.data)
|
||||
table.close()
|
||||
|
||||
maximum /= len(tables)
|
||||
maximum = np.where(maximum >0.0, maximum, 1) # avoid div by zero for empty columns
|
||||
maximum = np.where(maximum > 0.0, maximum, 1) # avoid div by zero for empty columns
|
||||
|
||||
|
||||
# normalize each table
|
||||
for i in xrange(len(data)):
|
||||
data[i] /= maximum
|
||||
|
||||
mask = np.zeros_like(table.data,dtype='bool')
|
||||
|
||||
for table in data:
|
||||
mask |= np.where(np.abs(table)<postFilter,True,False) # mask out (all) tiny values
|
||||
|
||||
if debug:
|
||||
logging.debug(str(maximum))
|
||||
allclose = np.absolute(data[0]-data[1]) <= (atol + rtol*np.absolute(data[1]))
|
||||
for ok,valA,valB in zip(allclose,data[0],data[1]):
|
||||
logging.debug('{}:\n {}\n{}\n'.format(ok,valA,valB))
|
||||
|
||||
allclose = True # start optimistic
|
||||
for i in xrange(1,len(data)):
|
||||
if debug:
|
||||
t0 = np.where(mask,0.0,data[i-1])
|
||||
t1 = np.where(mask,0.0,data[i ])
|
||||
j = np.argmin(np.abs(t1)*rtol+atol-np.abs(t0-t1))
|
||||
logging.info('{:f}'.format(np.amax(np.abs(t0-t1)/(np.abs(t1)*rtol+atol))))
|
||||
logging.info('{:f} {:f}'.format((t0*maximum).flatten()[j],(t1*maximum).flatten()[j]))
|
||||
allclose &= np.allclose(np.where(mask,0.0,data[i-1]),
|
||||
np.where(mask,0.0,data[i ]),rtol,atol) # accumulate "pessimism"
|
||||
allclose &= np.allclose(data[i-1],data[i],rtol,atol) # accumulate "pessimism"
|
||||
|
||||
return allclose
|
||||
|
||||
|
|
@ -545,14 +550,16 @@ class Test():
|
|||
|
||||
def report_Success(self,culprit):
|
||||
|
||||
ret = culprit
|
||||
|
||||
if culprit == 0:
|
||||
logging.critical(('The test' if len(self.variants) == 1 else 'All {} tests'.format(len(self.variants))) + ' passed')
|
||||
logging.critical('\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n')
|
||||
return 0
|
||||
if culprit == -1:
|
||||
logging.warning('Warning: Could not start test')
|
||||
return 0
|
||||
msg = 'The test passed' if len(self.variants) == 1 \
|
||||
else 'All {} tests passed.'.format(len(self.variants))
|
||||
elif culprit == -1:
|
||||
msg = 'Warning: Could not start test...'
|
||||
ret = 0
|
||||
else:
|
||||
logging.critical(' ********\n * Test {} failed...\n ********'.format(culprit))
|
||||
logging.critical('\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n')
|
||||
return culprit
|
||||
msg = ' * Test "{}" failed.'.format(self.variants[culprit-1])
|
||||
|
||||
logging.critical('\n'.join(['*'*40,msg,'*'*40]) + '\n')
|
||||
return ret
|
||||
|
|
|
|||
|
|
@ -20,6 +20,7 @@ class bcolors:
|
|||
FAIL = '\033[91m'
|
||||
ENDC = '\033[0m'
|
||||
BOLD = '\033[1m'
|
||||
DIM = '\033[2m'
|
||||
UNDERLINE = '\033[4m'
|
||||
|
||||
def disable(self):
|
||||
|
|
@ -70,9 +71,19 @@ def report_geom(info,
|
|||
|
||||
# -----------------------------
|
||||
def emph(what):
|
||||
"""emphasizes string on screen"""
|
||||
"""boldens string"""
|
||||
return bcolors.BOLD+srepr(what)+bcolors.ENDC
|
||||
|
||||
# -----------------------------
|
||||
def deemph(what):
|
||||
"""dims string"""
|
||||
return bcolors.DIM+srepr(what)+bcolors.ENDC
|
||||
|
||||
# -----------------------------
|
||||
def delete(what):
|
||||
"""dims string"""
|
||||
return bcolors.DIM+srepr(what)+bcolors.ENDC
|
||||
|
||||
# -----------------------------
|
||||
def execute(cmd,
|
||||
streamIn = None,
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys
|
||||
import math # noqa
|
||||
import numpy as np
|
||||
from optparse import OptionParser
|
||||
import damask
|
||||
|
|
@ -14,7 +15,7 @@ scriptID = ' '.join([scriptName,damask.version])
|
|||
# --------------------------------------------------------------------
|
||||
|
||||
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
|
||||
Replace all rows for which column 'label' has identical values by a single row containing their average.
|
||||
Apply a user-specified function to condense all rows for which column 'label' has identical values into a single row.
|
||||
Output table will contain as many rows as there are different (unique) values in the grouping column.
|
||||
|
||||
Examples:
|
||||
|
|
@ -25,11 +26,33 @@ parser.add_option('-l','--label',
|
|||
dest = 'label',
|
||||
type = 'string', metavar = 'string',
|
||||
help = 'column label for grouping rows')
|
||||
parser.add_option('-f','--function',
|
||||
dest = 'function',
|
||||
type = 'string', metavar = 'string',
|
||||
help = 'mapping function [%default]')
|
||||
parser.add_option('-a','--all',
|
||||
dest = 'all',
|
||||
action = 'store_true',
|
||||
help = 'apply mapping function also to grouping column')
|
||||
|
||||
parser.set_defaults(function = 'np.average')
|
||||
|
||||
(options,filenames) = parser.parse_args()
|
||||
|
||||
funcModule,funcName = options.function.split('.')
|
||||
|
||||
try:
|
||||
mapFunction = getattr(locals().get(funcModule) or
|
||||
globals().get(funcModule) or
|
||||
__import__(funcModule),
|
||||
funcName)
|
||||
except:
|
||||
mapFunction = None
|
||||
|
||||
if options.label is None:
|
||||
parser.error('no grouping column specified.')
|
||||
if not hasattr(mapFunction,'__call__'):
|
||||
parser.error('function "{}" is not callable.'.format(options.function))
|
||||
|
||||
|
||||
# --- loop over input files -------------------------------------------------------------------------
|
||||
|
|
@ -38,10 +61,6 @@ if filenames == []: filenames = [None]
|
|||
|
||||
for name in filenames:
|
||||
try: table = damask.ASCIItable(name = name,
|
||||
outname = os.path.join(
|
||||
os.path.split(name)[0],
|
||||
options.label+'_averaged_'+os.path.split(name)[1]
|
||||
) if name else name,
|
||||
buffered = False)
|
||||
except: continue
|
||||
damask.util.report(scriptName,name)
|
||||
|
|
@ -53,6 +72,8 @@ for name in filenames:
|
|||
damask.util.croak('column {} is not of scalar dimension.'.format(options.label))
|
||||
table.close(dismiss = True) # close ASCIItable and remove empty file
|
||||
continue
|
||||
else:
|
||||
grpColumn = table.label_index(options.label)
|
||||
|
||||
# ------------------------------------------ assemble info ---------------------------------------
|
||||
|
||||
|
|
@ -64,17 +85,17 @@ for name in filenames:
|
|||
table.data_readArray()
|
||||
rows,cols = table.data.shape
|
||||
|
||||
table.data = table.data[np.lexsort([table.data[:,table.label_index(options.label)]])]
|
||||
table.data = table.data[np.lexsort([table.data[:,grpColumn]])] # sort data by grpColumn
|
||||
|
||||
values,index = np.unique(table.data[:,table.label_index(options.label)], return_index = True)
|
||||
index = np.append(index,rows)
|
||||
avgTable = np.empty((len(values), cols))
|
||||
values,index = np.unique(table.data[:,grpColumn], return_index = True) # unique grpColumn values and their positions
|
||||
index = np.append(index,rows) # add termination position
|
||||
grpTable = np.empty((len(values), cols)) # initialize output
|
||||
|
||||
for j in xrange(cols) :
|
||||
for i in xrange(len(values)) :
|
||||
avgTable[i,j] = np.average(table.data[index[i]:index[i+1],j])
|
||||
for i in xrange(len(values)): # iterate over groups (unique values in grpColumn)
|
||||
grpTable[i] = np.apply_along_axis(mapFunction,0,table.data[index[i]:index[i+1]]) # apply mapping function
|
||||
if not options.all: grpTable[i,grpColumn] = table.data[index[i],grpColumn] # restore grouping column value
|
||||
|
||||
table.data = avgTable
|
||||
table.data = grpTable
|
||||
|
||||
# ------------------------------------------ output result -------------------------------
|
||||
|
||||
|
|
@ -3,6 +3,7 @@
|
|||
|
||||
import os,vtk
|
||||
import damask
|
||||
import numpy as np
|
||||
from collections import defaultdict
|
||||
from optparse import OptionParser
|
||||
|
||||
|
|
@ -37,12 +38,17 @@ parser.add_option('-v', '--vector',
|
|||
dest = 'vector',
|
||||
action = 'extend', metavar = '<string LIST>',
|
||||
help = 'vector value label(s)')
|
||||
parser.add_option('-t', '--tensor',
|
||||
dest = 'tensor',
|
||||
action = 'extend', metavar = '<string LIST>',
|
||||
help = 'tensor (3x3) value label(s)')
|
||||
parser.add_option('-c', '--color', dest='color', action='extend',
|
||||
metavar ='<string LIST>',
|
||||
help = 'RGB color tuples')
|
||||
|
||||
parser.set_defaults(scalar = [],
|
||||
vector = [],
|
||||
tensor = [],
|
||||
color = [],
|
||||
inplace = False,
|
||||
render = False,
|
||||
|
|
@ -97,6 +103,7 @@ for name in filenames:
|
|||
|
||||
for datatype,dimension,label in [['scalar',1,options.scalar],
|
||||
['vector',3,options.vector],
|
||||
['tensor',9,options.tensor],
|
||||
['color',3,options.color],
|
||||
]:
|
||||
for i,dim in enumerate(table.label_dimension(label)):
|
||||
|
|
@ -107,7 +114,7 @@ for name in filenames:
|
|||
remarks.append('adding {} "{}"...'.format(datatype,me))
|
||||
active[datatype].append(me)
|
||||
|
||||
if datatype in ['scalar','vector']: VTKarray[me] = vtk.vtkDoubleArray()
|
||||
if datatype in ['scalar','vector', 'tensor']: VTKarray[me] = vtk.vtkDoubleArray()
|
||||
elif datatype == 'color': VTKarray[me] = vtk.vtkUnsignedCharArray()
|
||||
|
||||
VTKarray[me].SetNumberOfComponents(dimension)
|
||||
|
|
@ -125,10 +132,14 @@ for name in filenames:
|
|||
|
||||
for datatype,labels in active.items(): # loop over scalar,color
|
||||
for me in labels: # loop over all requested items
|
||||
theData = [table.data[i] for i in table.label_indexrange(me)] # read strings
|
||||
if datatype == 'color': VTKarray[me].InsertNextTuple3(*map(lambda x: int(255.*float(x)),theData))
|
||||
elif datatype == 'vector': VTKarray[me].InsertNextTuple3(*map(float,theData))
|
||||
elif datatype == 'scalar': VTKarray[me].InsertNextValue(float(theData[0]))
|
||||
theData = [float(table.data[i]) for i in table.label_indexrange(me)] # read strings
|
||||
if datatype == 'color': VTKarray[me].InsertNextTuple3(*map(lambda x: int(255.*x),theData))
|
||||
elif datatype == 'scalar': VTKarray[me].InsertNextValue(theData[0])
|
||||
elif datatype == 'vector': VTKarray[me].InsertNextTuple3(*theData)
|
||||
elif datatype == 'tensor': VTKarray[me].InsertNextTuple9(*0.5*(np.array(theData)+
|
||||
np.array(theData) \
|
||||
.reshape(3,3).T \
|
||||
.reshape(9)))
|
||||
|
||||
table.input_close() # close input ASCII table
|
||||
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@
|
|||
|
||||
import os,vtk
|
||||
import damask
|
||||
import numpy as np
|
||||
from collections import defaultdict
|
||||
from optparse import OptionParser
|
||||
|
||||
|
|
@ -38,6 +39,10 @@ parser.add_option('-v', '--vector',
|
|||
dest = 'vector',
|
||||
action = 'extend', metavar = '<string LIST>',
|
||||
help = 'vector value label(s)')
|
||||
parser.add_option('-t', '--tensor',
|
||||
dest = 'tensor',
|
||||
action = 'extend', metavar = '<string LIST>',
|
||||
help = 'tensor (3x3) value label(s)')
|
||||
parser.add_option('-c', '--color',
|
||||
dest = 'color',
|
||||
action = 'extend', metavar = '<string LIST>',
|
||||
|
|
@ -45,6 +50,7 @@ parser.add_option('-c', '--color',
|
|||
|
||||
parser.set_defaults(scalar = [],
|
||||
vector = [],
|
||||
tensor = [],
|
||||
color = [],
|
||||
inplace = False,
|
||||
render = False,
|
||||
|
|
@ -95,6 +101,7 @@ for name in filenames:
|
|||
|
||||
for datatype,dimension,label in [['scalar',1,options.scalar],
|
||||
['vector',3,options.vector],
|
||||
['tensor',9,options.tensor],
|
||||
['color',3,options.color],
|
||||
]:
|
||||
for i,dim in enumerate(table.label_dimension(label)):
|
||||
|
|
@ -105,7 +112,7 @@ for name in filenames:
|
|||
remarks.append('adding {} "{}"...'.format(datatype,me))
|
||||
active[datatype].append(me)
|
||||
|
||||
if datatype in ['scalar','vector']: VTKarray[me] = vtk.vtkDoubleArray()
|
||||
if datatype in ['scalar','vector','tensor']: VTKarray[me] = vtk.vtkDoubleArray()
|
||||
elif datatype == 'color': VTKarray[me] = vtk.vtkUnsignedCharArray()
|
||||
|
||||
VTKarray[me].SetNumberOfComponents(dimension)
|
||||
|
|
@ -128,8 +135,12 @@ for name in filenames:
|
|||
for me in labels: # loop over all requested items
|
||||
theData = [table.data[i] for i in table.label_indexrange(me)] # read strings
|
||||
if datatype == 'color': VTKarray[me].InsertNextTuple3(*map(lambda x: int(255.*float(x)),theData))
|
||||
elif datatype == 'vector': VTKarray[me].InsertNextTuple3(*map(float,theData))
|
||||
elif datatype == 'scalar': VTKarray[me].InsertNextValue(float(theData[0]))
|
||||
elif datatype == 'vector': VTKarray[me].InsertNextTuple3(*map(float,theData))
|
||||
elif datatype == 'tensor': VTKarray[me].InsertNextTuple9(*0.5*(np.array(theData)+
|
||||
np.array(theData) \
|
||||
.reshape(3,3).T \
|
||||
.reshape(9)))
|
||||
|
||||
table.close() # close input ASCII table
|
||||
|
||||
|
|
|
|||
|
|
@ -79,9 +79,9 @@ for name in filenames:
|
|||
coords = [np.unique(table.data[:,i]) for i in xrange(3)]
|
||||
|
||||
if options.mode == 'cell':
|
||||
coords = [0.5 * np.array([3.0 * coords[i][0] - coords[i][0 + len(coords[i]) > 1]] + \
|
||||
coords = [0.5 * np.array([3.0 * coords[i][0] - coords[i][0 + int(len(coords[i]) > 1)]] + \
|
||||
[coords[i][j-1] + coords[i][j] for j in xrange(1,len(coords[i]))] + \
|
||||
[3.0 * coords[i][-1] - coords[i][-1 - (len(coords[i]) > 1)]]) for i in xrange(3)]
|
||||
[3.0 * coords[i][-1] - coords[i][-1 - int(len(coords[i]) > 1)]]) for i in xrange(3)]
|
||||
|
||||
grid = np.array(map(len,coords),'i')
|
||||
N = grid.prod() if options.mode == 'point' else (grid-1).prod()
|
||||
|
|
|
|||
|
|
@ -30,30 +30,37 @@ parser.add_option('-s', '--substitute',
|
|||
dest = 'substitute',
|
||||
action = 'extend', metavar = '<string LIST>',
|
||||
help = 'substitutions of microstructure indices from,to,from,to,...')
|
||||
parser.add_option('--float',
|
||||
dest = 'real',
|
||||
action = 'store_true',
|
||||
help = 'use float input')
|
||||
|
||||
parser.set_defaults(origin = (0.0,0.0,0.0),
|
||||
microstructure = 0,
|
||||
substitute = [],
|
||||
real = False,
|
||||
)
|
||||
|
||||
(options, filenames) = parser.parse_args()
|
||||
|
||||
datatype = 'f' if options.real else 'i'
|
||||
|
||||
sub = {}
|
||||
for i in xrange(len(options.substitute)/2): # split substitution list into "from" -> "to"
|
||||
sub[int(options.substitute[i*2])] = int(options.substitute[i*2+1])
|
||||
|
||||
# --- loop over input files -------------------------------------------------------------------------
|
||||
# --- loop over input files ----------------------------------------------------------------------
|
||||
|
||||
if filenames == []: filenames = [None]
|
||||
|
||||
for name in filenames:
|
||||
try:
|
||||
table = damask.ASCIItable(name = name,
|
||||
buffered = False, labeled = False)
|
||||
try: table = damask.ASCIItable(name = name,
|
||||
buffered = False,
|
||||
labeled = False)
|
||||
except: continue
|
||||
damask.util.report(scriptName,name)
|
||||
|
||||
# --- interpret header ----------------------------------------------------------------------------
|
||||
# --- interpret header ---------------------------------------------------------------------------
|
||||
|
||||
table.head_read()
|
||||
info,extra_header = table.head_getGeom()
|
||||
|
|
@ -73,9 +80,9 @@ for name in filenames:
|
|||
table.close(dismiss = True)
|
||||
continue
|
||||
|
||||
# --- read data ------------------------------------------------------------------------------------
|
||||
# --- read data ----------------------------------------------------------------------------------
|
||||
|
||||
microstructure = table.microstructure_read(info['grid']) # read microstructure
|
||||
microstructure = table.microstructure_read(info['grid'],datatype) # read microstructure
|
||||
|
||||
# --- do work ------------------------------------------------------------------------------------
|
||||
|
||||
|
|
@ -90,9 +97,9 @@ for name in filenames:
|
|||
substituted += options.microstructure # shift microstructure indices
|
||||
|
||||
newInfo['origin'] = info['origin'] + options.origin
|
||||
newInfo['microstructures'] = substituted.max()
|
||||
newInfo['microstructures'] = len(np.unique(substituted))
|
||||
|
||||
# --- report ---------------------------------------------------------------------------------------
|
||||
# --- report -------------------------------------------------------------------------------------
|
||||
|
||||
remarks = []
|
||||
if (any(newInfo['origin'] != info['origin'])):
|
||||
|
|
@ -101,7 +108,7 @@ for name in filenames:
|
|||
remarks.append('--> microstructures: %i'%newInfo['microstructures'])
|
||||
if remarks != []: damask.util.croak(remarks)
|
||||
|
||||
# --- write header ---------------------------------------------------------------------------------
|
||||
# --- write header -------------------------------------------------------------------------------
|
||||
|
||||
table.labels_clear()
|
||||
table.info_clear()
|
||||
|
|
@ -116,12 +123,12 @@ for name in filenames:
|
|||
])
|
||||
table.head_write()
|
||||
|
||||
# --- write microstructure information ------------------------------------------------------------
|
||||
# --- write microstructure information -----------------------------------------------------------
|
||||
|
||||
formatwidth = int(math.floor(math.log10(microstructure.max())+1))
|
||||
format = '%g' if options.real else '%{}i'.format(int(math.floor(math.log10(microstructure.max())+1)))
|
||||
table.data = substituted.reshape((info['grid'][0],info['grid'][1]*info['grid'][2]),order='F').transpose()
|
||||
table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
|
||||
table.data_writeArray(format,delimiter = ' ')
|
||||
|
||||
# --- output finalization --------------------------------------------------------------------------
|
||||
# --- output finalization ------------------------------------------------------------------------
|
||||
|
||||
table.close() # close ASCII table
|
||||
|
|
|
|||
Loading…
Reference in New Issue