diff --git a/code/IO.f90 b/code/IO.f90 index 3c030762a..5faac1743 100644 --- a/code/IO.f90 +++ b/code/IO.f90 @@ -588,7 +588,7 @@ function IO_hybridIA(Nast,ODFfileName) integer(pInt), parameter :: FILEUNIT = 999_pInt IO_hybridIA = 0.0_pReal ! initialize return value for case of error - write(6,'(/,a,/)',advance='no') ' Using linear ODF file:'//trim(ODFfileName) + write(6,'(/,a,/)',advance='no') ' Using linear ODF file: '//trim(ODFfileName) !-------------------------------------------------------------------------------------------------- ! parse header of ODF file @@ -627,8 +627,8 @@ function IO_hybridIA(Nast,ODFfileName) !-------------------------------------------------------------------------------------------------- ! determine limits, number of steps and step size - limits(1,1:3) = 720.0_pReal - limits(2,1:3) = 0.0_pReal + limits(1,1:3) = 721.0_pReal + limits(2,1:3) = -1.0_pReal steps = 0_pInt line=IO_read(FILEUNIT) @@ -649,9 +649,6 @@ function IO_hybridIA(Nast,ODFfileName) write(6,'(/,a,/,3(2x,f12.4,1x))',advance='no') ' Ending angles / ° = ',limits(2,1:3) write(6,'(/,a,/,3(2x,f12.4,1x))',advance='no') ' Angular steps / ° = ',deltas - limits = limits*INRAD - deltas = deltas*INRAD - if (all(abs(limits(1,1:3)) < tol_math_check)) then write(6,'(/,a,/)',advance='no') ' assuming vertex centered data' center = 0.0_pReal ! no need to shift @@ -661,7 +658,9 @@ function IO_hybridIA(Nast,ODFfileName) write(6,'(/,a,/)',advance='no') ' assuming cell centered data' center = 0.5_pReal ! shift data by half of a bin endif - + + limits = limits*INRAD + deltas = deltas*INRAD !-------------------------------------------------------------------------------------------------- ! read in data @@ -678,10 +677,10 @@ function IO_hybridIA(Nast,ODFfileName) do phi1=1_pInt,steps(1); do Phi=1_pInt,steps(2); do phi2=1_pInt,steps(3) line=IO_read(FILEUNIT) chunkPos = IO_stringPos(line) - eulers=[IO_floatValue(line,chunkPos,columns(1)),& ! read in again for consistency check only + eulers=[IO_floatValue(line,chunkPos,columns(1)),& ! read in again for consistency check only IO_floatValue(line,chunkPos,columns(2)),& IO_floatValue(line,chunkPos,columns(3))]*INRAD - if (any(abs((real([phi1,phi,phi2],pReal)-1.0_pReal + center)*deltas-eulers)>tol_math_check)) & ! check if data is in expected order (phi2 fast) + if (any(abs((real([phi1,phi,phi2],pReal) -1.0_pReal + center)*deltas-eulers)>tol_math_check)) & ! check if data is in expected order (phi2 fast) and correct for Fortran starting at 1 call IO_error(error_ID = 156_pInt, ext_msg='linear ODF data not in expected order') prob = IO_floatValue(line,chunkPos,columns(4)) @@ -756,7 +755,7 @@ function IO_hybridIA(Nast,ODFfileName) integer(pInt) pure function hybridIA_reps(dV_V,steps,C) implicit none - integer(pInt), intent(in), dimension(3) :: steps !< needs description + integer(pInt), intent(in), dimension(3) :: steps !< number of bins in Euler space real(pReal), intent(in), dimension(steps(3),steps(2),steps(1)) :: dV_V !< needs description real(pReal), intent(in) :: C !< needs description diff --git a/code/config/rollingTexture.txt b/code/config/rollingTexture.txt deleted file mode 100755 index 026eacdfc..000000000 --- a/code/config/rollingTexture.txt +++ /dev/null @@ -1,186629 +0,0 @@ -# Header: Project1::test1000::All data::Binned: Size=5.0, HW=5.0 4/15/2015 -# -# Bin Size: 5.0º -# Gaussian Smoothing: 5.0º -# phi1, PHI, phi2, ODF Bin value - 2.50 2.50 2.50 0.980476 - 2.50 2.50 7.50 0.773179 - 2.50 2.50 12.50 0.393272 - 2.50 2.50 17.50 0.149977 - 2.50 2.50 22.50 0.0624685 - 2.50 2.50 27.50 0.0485219 - 2.50 2.50 32.50 0.0601603 - 2.50 2.50 37.50 0.0760385 - 2.50 2.50 42.50 0.083846 - 2.50 2.50 47.50 0.084539 - 2.50 2.50 52.50 0.083846 - 2.50 2.50 57.50 0.0760385 - 2.50 2.50 62.50 0.0601603 - 2.50 2.50 67.50 0.0485219 - 2.50 2.50 72.50 0.0624686 - 2.50 2.50 77.50 0.149977 - 2.50 2.50 82.50 0.393272 - 2.50 2.50 87.50 0.773179 - 2.50 2.50 92.50 0.980476 - 2.50 2.50 97.50 0.773178 - 2.50 2.50 102.50 0.393272 - 2.50 2.50 107.50 0.149977 - 2.50 2.50 112.50 0.0624685 - 2.50 2.50 117.50 0.048522 - 2.50 2.50 122.50 0.0601603 - 2.50 2.50 127.50 0.0760386 - 2.50 2.50 132.50 0.083846 - 2.50 2.50 137.50 0.084539 - 2.50 2.50 142.50 0.083846 - 2.50 2.50 147.50 0.0760385 - 2.50 2.50 152.50 0.0601603 - 2.50 2.50 157.50 0.0485219 - 2.50 2.50 162.50 0.0624686 - 2.50 2.50 167.50 0.149977 - 2.50 2.50 172.50 0.393272 - 2.50 2.50 177.50 0.773178 - 2.50 2.50 182.50 0.980476 - 2.50 2.50 187.50 0.773179 - 2.50 2.50 192.50 0.393272 - 2.50 2.50 197.50 0.149977 - 2.50 2.50 202.50 0.0624685 - 2.50 2.50 207.50 0.0485219 - 2.50 2.50 212.50 0.0601603 - 2.50 2.50 217.50 0.0760385 - 2.50 2.50 222.50 0.083846 - 2.50 2.50 227.50 0.084539 - 2.50 2.50 232.50 0.083846 - 2.50 2.50 237.50 0.0760385 - 2.50 2.50 242.50 0.0601603 - 2.50 2.50 247.50 0.0485219 - 2.50 2.50 252.50 0.0624686 - 2.50 2.50 257.50 0.149977 - 2.50 2.50 262.50 0.393273 - 2.50 2.50 267.50 0.773179 - 2.50 2.50 272.50 0.980476 - 2.50 2.50 277.50 0.773178 - 2.50 2.50 282.50 0.393272 - 2.50 2.50 287.50 0.149977 - 2.50 2.50 292.50 0.0624686 - 2.50 2.50 297.50 0.0485219 - 2.50 2.50 302.50 0.0601603 - 2.50 2.50 307.50 0.0760385 - 2.50 2.50 312.50 0.083846 - 2.50 2.50 317.50 0.084539 - 2.50 2.50 322.50 0.083846 - 2.50 2.50 327.50 0.0760386 - 2.50 2.50 332.50 0.0601603 - 2.50 2.50 337.50 0.048522 - 2.50 2.50 342.50 0.0624685 - 2.50 2.50 347.50 0.149977 - 2.50 2.50 352.50 0.393272 - 2.50 2.50 357.50 0.773178 - 2.50 7.50 2.50 1.24804 - 2.50 7.50 7.50 0.987007 - 2.50 7.50 12.50 0.506917 - 2.50 7.50 17.50 0.197143 - 2.50 7.50 22.50 0.080438 - 2.50 7.50 27.50 0.0491677 - 2.50 7.50 32.50 0.045313 - 2.50 7.50 37.50 0.0573038 - 2.50 7.50 42.50 0.0692314 - 2.50 7.50 47.50 0.0738691 - 2.50 7.50 52.50 0.0692314 - 2.50 7.50 57.50 0.0573038 - 2.50 7.50 62.50 0.045313 - 2.50 7.50 67.50 0.0491677 - 2.50 7.50 72.50 0.080438 - 2.50 7.50 77.50 0.197142 - 2.50 7.50 82.50 0.506916 - 2.50 7.50 87.50 0.987006 - 2.50 7.50 92.50 1.24804 - 2.50 7.50 97.50 0.987009 - 2.50 7.50 102.50 0.506918 - 2.50 7.50 107.50 0.197143 - 2.50 7.50 112.50 0.080438 - 2.50 7.50 117.50 0.0491677 - 2.50 7.50 122.50 0.045313 - 2.50 7.50 127.50 0.0573038 - 2.50 7.50 132.50 0.0692314 - 2.50 7.50 137.50 0.0738691 - 2.50 7.50 142.50 0.0692314 - 2.50 7.50 147.50 0.0573038 - 2.50 7.50 152.50 0.045313 - 2.50 7.50 157.50 0.0491677 - 2.50 7.50 162.50 0.080438 - 2.50 7.50 167.50 0.197143 - 2.50 7.50 172.50 0.506917 - 2.50 7.50 177.50 0.987007 - 2.50 7.50 182.50 1.24804 - 2.50 7.50 187.50 0.987007 - 2.50 7.50 192.50 0.506917 - 2.50 7.50 197.50 0.197142 - 2.50 7.50 202.50 0.080438 - 2.50 7.50 207.50 0.0491677 - 2.50 7.50 212.50 0.045313 - 2.50 7.50 217.50 0.0573038 - 2.50 7.50 222.50 0.0692314 - 2.50 7.50 227.50 0.0738691 - 2.50 7.50 232.50 0.0692314 - 2.50 7.50 237.50 0.0573038 - 2.50 7.50 242.50 0.045313 - 2.50 7.50 247.50 0.0491677 - 2.50 7.50 252.50 0.0804381 - 2.50 7.50 257.50 0.197143 - 2.50 7.50 262.50 0.506919 - 2.50 7.50 267.50 0.987009 - 2.50 7.50 272.50 1.24804 - 2.50 7.50 277.50 0.987006 - 2.50 7.50 282.50 0.506917 - 2.50 7.50 287.50 0.197143 - 2.50 7.50 292.50 0.080438 - 2.50 7.50 297.50 0.0491677 - 2.50 7.50 302.50 0.045313 - 2.50 7.50 307.50 0.0573038 - 2.50 7.50 312.50 0.0692314 - 2.50 7.50 317.50 0.0738691 - 2.50 7.50 322.50 0.0692315 - 2.50 7.50 327.50 0.0573038 - 2.50 7.50 332.50 0.045313 - 2.50 7.50 337.50 0.0491677 - 2.50 7.50 342.50 0.0804379 - 2.50 7.50 347.50 0.197142 - 2.50 7.50 352.50 0.506916 - 2.50 7.50 357.50 0.987006 - 2.50 12.50 2.50 1.59627 - 2.50 12.50 7.50 1.29229 - 2.50 12.50 12.50 0.712488 - 2.50 12.50 17.50 0.305995 - 2.50 12.50 22.50 0.137474 - 2.50 12.50 27.50 0.0745081 - 2.50 12.50 32.50 0.0533662 - 2.50 12.50 37.50 0.0564789 - 2.50 12.50 42.50 0.0727374 - 2.50 12.50 47.50 0.0833499 - 2.50 12.50 52.50 0.0727374 - 2.50 12.50 57.50 0.0564789 - 2.50 12.50 62.50 0.0533663 - 2.50 12.50 67.50 0.0745082 - 2.50 12.50 72.50 0.137474 - 2.50 12.50 77.50 0.305995 - 2.50 12.50 82.50 0.712488 - 2.50 12.50 87.50 1.29229 - 2.50 12.50 92.50 1.59627 - 2.50 12.50 97.50 1.29229 - 2.50 12.50 102.50 0.712489 - 2.50 12.50 107.50 0.305995 - 2.50 12.50 112.50 0.137474 - 2.50 12.50 117.50 0.0745081 - 2.50 12.50 122.50 0.0533662 - 2.50 12.50 127.50 0.0564789 - 2.50 12.50 132.50 0.0727374 - 2.50 12.50 137.50 0.0833499 - 2.50 12.50 142.50 0.0727373 - 2.50 12.50 147.50 0.0564789 - 2.50 12.50 152.50 0.0533663 - 2.50 12.50 157.50 0.0745081 - 2.50 12.50 162.50 0.137474 - 2.50 12.50 167.50 0.305996 - 2.50 12.50 172.50 0.712488 - 2.50 12.50 177.50 1.29229 - 2.50 12.50 182.50 1.59627 - 2.50 12.50 187.50 1.29229 - 2.50 12.50 192.50 0.712488 - 2.50 12.50 197.50 0.305995 - 2.50 12.50 202.50 0.137474 - 2.50 12.50 207.50 0.0745082 - 2.50 12.50 212.50 0.0533663 - 2.50 12.50 217.50 0.0564789 - 2.50 12.50 222.50 0.0727373 - 2.50 12.50 227.50 0.0833499 - 2.50 12.50 232.50 0.0727373 - 2.50 12.50 237.50 0.0564789 - 2.50 12.50 242.50 0.0533663 - 2.50 12.50 247.50 0.0745083 - 2.50 12.50 252.50 0.137474 - 2.50 12.50 257.50 0.305996 - 2.50 12.50 262.50 0.71249 - 2.50 12.50 267.50 1.29229 - 2.50 12.50 272.50 1.59627 - 2.50 12.50 277.50 1.29228 - 2.50 12.50 282.50 0.712488 - 2.50 12.50 287.50 0.305995 - 2.50 12.50 292.50 0.137474 - 2.50 12.50 297.50 0.0745082 - 2.50 12.50 302.50 0.0533663 - 2.50 12.50 307.50 0.0564789 - 2.50 12.50 312.50 0.0727374 - 2.50 12.50 317.50 0.0833499 - 2.50 12.50 322.50 0.0727374 - 2.50 12.50 327.50 0.0564789 - 2.50 12.50 332.50 0.0533662 - 2.50 12.50 337.50 0.0745081 - 2.50 12.50 342.50 0.137474 - 2.50 12.50 347.50 0.305995 - 2.50 12.50 352.50 0.712487 - 2.50 12.50 357.50 1.29228 - 2.50 17.50 2.50 1.78132 - 2.50 17.50 7.50 1.49961 - 2.50 17.50 12.50 0.922101 - 2.50 17.50 17.50 0.474879 - 2.50 17.50 22.50 0.232682 - 2.50 17.50 27.50 0.106683 - 2.50 17.50 32.50 0.0442968 - 2.50 17.50 37.50 0.0422444 - 2.50 17.50 42.50 0.0669501 - 2.50 17.50 47.50 0.0823488 - 2.50 17.50 52.50 0.06695 - 2.50 17.50 57.50 0.0422444 - 2.50 17.50 62.50 0.0442969 - 2.50 17.50 67.50 0.106683 - 2.50 17.50 72.50 0.232683 - 2.50 17.50 77.50 0.474879 - 2.50 17.50 82.50 0.922101 - 2.50 17.50 87.50 1.49961 - 2.50 17.50 92.50 1.78132 - 2.50 17.50 97.50 1.49961 - 2.50 17.50 102.50 0.922101 - 2.50 17.50 107.50 0.474879 - 2.50 17.50 112.50 0.232682 - 2.50 17.50 117.50 0.106683 - 2.50 17.50 122.50 0.0442967 - 2.50 17.50 127.50 0.0422445 - 2.50 17.50 132.50 0.0669501 - 2.50 17.50 137.50 0.0823488 - 2.50 17.50 142.50 0.06695 - 2.50 17.50 147.50 0.0422444 - 2.50 17.50 152.50 0.0442968 - 2.50 17.50 157.50 0.106683 - 2.50 17.50 162.50 0.232682 - 2.50 17.50 167.50 0.474879 - 2.50 17.50 172.50 0.922101 - 2.50 17.50 177.50 1.49961 - 2.50 17.50 182.50 1.78132 - 2.50 17.50 187.50 1.49961 - 2.50 17.50 192.50 0.922101 - 2.50 17.50 197.50 0.474878 - 2.50 17.50 202.50 0.232682 - 2.50 17.50 207.50 0.106683 - 2.50 17.50 212.50 0.0442968 - 2.50 17.50 217.50 0.0422445 - 2.50 17.50 222.50 0.0669501 - 2.50 17.50 227.50 0.0823487 - 2.50 17.50 232.50 0.0669499 - 2.50 17.50 237.50 0.0422444 - 2.50 17.50 242.50 0.0442969 - 2.50 17.50 247.50 0.106683 - 2.50 17.50 252.50 0.232683 - 2.50 17.50 257.50 0.474879 - 2.50 17.50 262.50 0.922103 - 2.50 17.50 267.50 1.49961 - 2.50 17.50 272.50 1.78132 - 2.50 17.50 277.50 1.49961 - 2.50 17.50 282.50 0.922101 - 2.50 17.50 287.50 0.474879 - 2.50 17.50 292.50 0.232682 - 2.50 17.50 297.50 0.106683 - 2.50 17.50 302.50 0.0442969 - 2.50 17.50 307.50 0.0422444 - 2.50 17.50 312.50 0.0669501 - 2.50 17.50 317.50 0.0823487 - 2.50 17.50 322.50 0.0669501 - 2.50 17.50 327.50 0.0422444 - 2.50 17.50 332.50 0.0442968 - 2.50 17.50 337.50 0.106683 - 2.50 17.50 342.50 0.232682 - 2.50 17.50 347.50 0.474878 - 2.50 17.50 352.50 0.9221 - 2.50 17.50 357.50 1.49961 - 2.50 22.50 2.50 1.90406 - 2.50 22.50 7.50 1.67252 - 2.50 22.50 12.50 1.14035 - 2.50 22.50 17.50 0.656469 - 2.50 22.50 22.50 0.319308 - 2.50 22.50 27.50 0.138134 - 2.50 22.50 32.50 0.0639756 - 2.50 22.50 37.50 0.0402311 - 2.50 22.50 42.50 0.0410277 - 2.50 22.50 47.50 0.0480176 - 2.50 22.50 52.50 0.0410277 - 2.50 22.50 57.50 0.0402311 - 2.50 22.50 62.50 0.0639757 - 2.50 22.50 67.50 0.138134 - 2.50 22.50 72.50 0.319308 - 2.50 22.50 77.50 0.656469 - 2.50 22.50 82.50 1.14035 - 2.50 22.50 87.50 1.67252 - 2.50 22.50 92.50 1.90406 - 2.50 22.50 97.50 1.67252 - 2.50 22.50 102.50 1.14035 - 2.50 22.50 107.50 0.656469 - 2.50 22.50 112.50 0.319308 - 2.50 22.50 117.50 0.138134 - 2.50 22.50 122.50 0.0639756 - 2.50 22.50 127.50 0.0402311 - 2.50 22.50 132.50 0.0410277 - 2.50 22.50 137.50 0.0480175 - 2.50 22.50 142.50 0.0410277 - 2.50 22.50 147.50 0.0402312 - 2.50 22.50 152.50 0.0639756 - 2.50 22.50 157.50 0.138134 - 2.50 22.50 162.50 0.319308 - 2.50 22.50 167.50 0.656469 - 2.50 22.50 172.50 1.14035 - 2.50 22.50 177.50 1.67252 - 2.50 22.50 182.50 1.90406 - 2.50 22.50 187.50 1.67252 - 2.50 22.50 192.50 1.14035 - 2.50 22.50 197.50 0.656469 - 2.50 22.50 202.50 0.319308 - 2.50 22.50 207.50 0.138134 - 2.50 22.50 212.50 0.0639756 - 2.50 22.50 217.50 0.0402312 - 2.50 22.50 222.50 0.0410277 - 2.50 22.50 227.50 0.0480175 - 2.50 22.50 232.50 0.0410276 - 2.50 22.50 237.50 0.0402312 - 2.50 22.50 242.50 0.0639757 - 2.50 22.50 247.50 0.138135 - 2.50 22.50 252.50 0.319309 - 2.50 22.50 257.50 0.65647 - 2.50 22.50 262.50 1.14035 - 2.50 22.50 267.50 1.67252 - 2.50 22.50 272.50 1.90406 - 2.50 22.50 277.50 1.67252 - 2.50 22.50 282.50 1.14035 - 2.50 22.50 287.50 0.656469 - 2.50 22.50 292.50 0.319308 - 2.50 22.50 297.50 0.138134 - 2.50 22.50 302.50 0.0639757 - 2.50 22.50 307.50 0.0402312 - 2.50 22.50 312.50 0.0410277 - 2.50 22.50 317.50 0.0480176 - 2.50 22.50 322.50 0.0410277 - 2.50 22.50 327.50 0.0402312 - 2.50 22.50 332.50 0.0639756 - 2.50 22.50 337.50 0.138134 - 2.50 22.50 342.50 0.319307 - 2.50 22.50 347.50 0.656469 - 2.50 22.50 352.50 1.14035 - 2.50 22.50 357.50 1.67252 - 2.50 27.50 2.50 2.01833 - 2.50 27.50 7.50 1.81567 - 2.50 27.50 12.50 1.30406 - 2.50 27.50 17.50 0.780018 - 2.50 27.50 22.50 0.396484 - 2.50 27.50 27.50 0.178891 - 2.50 27.50 32.50 0.0744754 - 2.50 27.50 37.50 0.040116 - 2.50 27.50 42.50 0.0214562 - 2.50 27.50 47.50 0.0140425 - 2.50 27.50 52.50 0.0214562 - 2.50 27.50 57.50 0.0401161 - 2.50 27.50 62.50 0.0744755 - 2.50 27.50 67.50 0.178892 - 2.50 27.50 72.50 0.396484 - 2.50 27.50 77.50 0.780019 - 2.50 27.50 82.50 1.30406 - 2.50 27.50 87.50 1.81567 - 2.50 27.50 92.50 2.01833 - 2.50 27.50 97.50 1.81567 - 2.50 27.50 102.50 1.30406 - 2.50 27.50 107.50 0.780018 - 2.50 27.50 112.50 0.396484 - 2.50 27.50 117.50 0.178891 - 2.50 27.50 122.50 0.0744753 - 2.50 27.50 127.50 0.040116 - 2.50 27.50 132.50 0.0214562 - 2.50 27.50 137.50 0.0140425 - 2.50 27.50 142.50 0.0214562 - 2.50 27.50 147.50 0.0401161 - 2.50 27.50 152.50 0.0744754 - 2.50 27.50 157.50 0.178891 - 2.50 27.50 162.50 0.396484 - 2.50 27.50 167.50 0.780018 - 2.50 27.50 172.50 1.30406 - 2.50 27.50 177.50 1.81566 - 2.50 27.50 182.50 2.01833 - 2.50 27.50 187.50 1.81567 - 2.50 27.50 192.50 1.30406 - 2.50 27.50 197.50 0.780018 - 2.50 27.50 202.50 0.396484 - 2.50 27.50 207.50 0.178891 - 2.50 27.50 212.50 0.0744754 - 2.50 27.50 217.50 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32.50 32.50 0.114577 - 2.50 32.50 37.50 0.0480735 - 2.50 32.50 42.50 0.0146966 - 2.50 32.50 47.50 0.00726674 - 2.50 32.50 52.50 0.0146966 - 2.50 32.50 57.50 0.0480735 - 2.50 32.50 62.50 0.114577 - 2.50 32.50 67.50 0.222739 - 2.50 32.50 72.50 0.485034 - 2.50 32.50 77.50 0.882763 - 2.50 32.50 82.50 1.4145 - 2.50 32.50 87.50 1.90025 - 2.50 32.50 92.50 2.09376 - 2.50 32.50 97.50 1.90025 - 2.50 32.50 102.50 1.4145 - 2.50 32.50 107.50 0.882763 - 2.50 32.50 112.50 0.485034 - 2.50 32.50 117.50 0.222739 - 2.50 32.50 122.50 0.114577 - 2.50 32.50 127.50 0.0480734 - 2.50 32.50 132.50 0.0146966 - 2.50 32.50 137.50 0.00726675 - 2.50 32.50 142.50 0.0146966 - 2.50 32.50 147.50 0.0480735 - 2.50 32.50 152.50 0.114577 - 2.50 32.50 157.50 0.222739 - 2.50 32.50 162.50 0.485034 - 2.50 32.50 167.50 0.882763 - 2.50 32.50 172.50 1.4145 - 2.50 32.50 177.50 1.90025 - 2.50 32.50 182.50 2.09376 - 2.50 32.50 187.50 1.90025 - 2.50 32.50 192.50 1.4145 - 2.50 32.50 197.50 0.882763 - 2.50 32.50 202.50 0.485034 - 2.50 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37.50 0.175254 - 22.50 152.50 42.50 0.0640098 - 22.50 152.50 47.50 0.0215104 - 22.50 152.50 52.50 0.00698155 - 22.50 152.50 57.50 0.00898051 - 22.50 152.50 62.50 0.0367357 - 22.50 152.50 67.50 0.125017 - 22.50 152.50 72.50 0.378185 - 22.50 152.50 77.50 0.781422 - 22.50 152.50 82.50 1.40864 - 22.50 152.50 87.50 1.94106 - 22.50 152.50 92.50 2.28343 - 22.50 152.50 97.50 2.35998 - 22.50 152.50 102.50 2.32479 - 22.50 152.50 107.50 2.1941 - 22.50 152.50 112.50 1.66379 - 22.50 152.50 117.50 0.961774 - 22.50 152.50 122.50 0.446187 - 22.50 152.50 127.50 0.175254 - 22.50 152.50 132.50 0.0640097 - 22.50 152.50 137.50 0.0215103 - 22.50 152.50 142.50 0.00698155 - 22.50 152.50 147.50 0.00898052 - 22.50 152.50 152.50 0.0367356 - 22.50 152.50 157.50 0.125017 - 22.50 152.50 162.50 0.378185 - 22.50 152.50 167.50 0.781422 - 22.50 152.50 172.50 1.40864 - 22.50 152.50 177.50 1.94106 - 22.50 152.50 182.50 2.28343 - 22.50 152.50 187.50 2.35998 - 22.50 152.50 192.50 2.32479 - 22.50 152.50 197.50 2.1941 - 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42.50 67.50 187.50 2.6495 - 42.50 67.50 192.50 3.43339 - 42.50 67.50 197.50 3.88848 - 42.50 67.50 202.50 4.01288 - 42.50 67.50 207.50 3.45573 - 42.50 67.50 212.50 2.44198 - 42.50 67.50 217.50 1.48181 - 42.50 67.50 222.50 0.799248 - 42.50 67.50 227.50 0.347313 - 42.50 67.50 232.50 0.111848 - 42.50 67.50 237.50 0.0359556 - 42.50 67.50 242.50 0.0165972 - 42.50 67.50 247.50 0.014683 - 42.50 67.50 252.50 0.0407374 - 42.50 67.50 257.50 0.113132 - 42.50 67.50 262.50 0.294579 - 42.50 67.50 267.50 0.71739 - 42.50 67.50 272.50 1.46809 - 42.50 67.50 277.50 2.6495 - 42.50 67.50 282.50 3.43339 - 42.50 67.50 287.50 3.88848 - 42.50 67.50 292.50 4.01288 - 42.50 67.50 297.50 3.45573 - 42.50 67.50 302.50 2.44198 - 42.50 67.50 307.50 1.48181 - 42.50 67.50 312.50 0.799248 - 42.50 67.50 317.50 0.347314 - 42.50 67.50 322.50 0.111848 - 42.50 67.50 327.50 0.0359556 - 42.50 67.50 332.50 0.0165972 - 42.50 67.50 337.50 0.014683 - 42.50 67.50 342.50 0.0407372 - 42.50 67.50 347.50 0.113131 - 42.50 67.50 352.50 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42.50 77.50 147.50 0.128274 - 42.50 77.50 152.50 0.0398137 - 42.50 77.50 157.50 0.0143751 - 42.50 77.50 162.50 0.0153901 - 42.50 77.50 167.50 0.0295423 - 42.50 77.50 172.50 0.0636858 - 42.50 77.50 177.50 0.188114 - 42.50 77.50 182.50 0.460877 - 42.50 77.50 187.50 1.10963 - 42.50 77.50 192.50 1.93697 - 42.50 77.50 197.50 2.75934 - 42.50 77.50 202.50 3.36604 - 42.50 77.50 207.50 3.53594 - 42.50 77.50 212.50 3.14019 - 42.50 77.50 217.50 2.27581 - 42.50 77.50 222.50 1.33458 - 42.50 77.50 227.50 0.714016 - 42.50 77.50 232.50 0.317092 - 42.50 77.50 237.50 0.128273 - 42.50 77.50 242.50 0.0398135 - 42.50 77.50 247.50 0.014375 - 42.50 77.50 252.50 0.0153902 - 42.50 77.50 257.50 0.0295424 - 42.50 77.50 262.50 0.0636859 - 42.50 77.50 267.50 0.188114 - 42.50 77.50 272.50 0.460877 - 42.50 77.50 277.50 1.10963 - 42.50 77.50 282.50 1.93697 - 42.50 77.50 287.50 2.75934 - 42.50 77.50 292.50 3.36604 - 42.50 77.50 297.50 3.53593 - 42.50 77.50 302.50 3.14019 - 42.50 77.50 307.50 2.27581 - 42.50 77.50 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1.59318 - 42.50 82.50 292.50 2.07748 - 42.50 82.50 297.50 2.43484 - 42.50 82.50 302.50 2.36345 - 42.50 82.50 307.50 1.79502 - 42.50 82.50 312.50 1.15557 - 42.50 82.50 317.50 0.702272 - 42.50 82.50 322.50 0.409471 - 42.50 82.50 327.50 0.225079 - 42.50 82.50 332.50 0.110781 - 42.50 82.50 337.50 0.0555633 - 42.50 82.50 342.50 0.0563825 - 42.50 82.50 347.50 0.0631443 - 42.50 82.50 352.50 0.0668906 - 42.50 82.50 357.50 0.0978047 - 42.50 87.50 2.50 0.12541 - 42.50 87.50 7.50 0.308348 - 42.50 87.50 12.50 0.563066 - 42.50 87.50 17.50 0.796227 - 42.50 87.50 22.50 1.05709 - 42.50 87.50 27.50 1.36104 - 42.50 87.50 32.50 1.47625 - 42.50 87.50 37.50 1.29062 - 42.50 87.50 42.50 0.987444 - 42.50 87.50 47.50 0.711732 - 42.50 87.50 52.50 0.498344 - 42.50 87.50 57.50 0.34713 - 42.50 87.50 62.50 0.242098 - 42.50 87.50 67.50 0.170704 - 42.50 87.50 72.50 0.150682 - 42.50 87.50 77.50 0.163483 - 42.50 87.50 82.50 0.119755 - 42.50 87.50 87.50 0.0780954 - 42.50 87.50 92.50 0.12541 - 42.50 87.50 97.50 0.308348 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42.50 157.50 172.50 0.227896 - 42.50 157.50 177.50 0.620966 - 42.50 157.50 182.50 1.46809 - 42.50 157.50 187.50 2.50208 - 42.50 157.50 192.50 3.31096 - 42.50 157.50 197.50 3.52194 - 42.50 157.50 202.50 3.1379 - 42.50 157.50 207.50 2.5845 - 42.50 157.50 212.50 2.10945 - 42.50 157.50 217.50 1.61011 - 42.50 157.50 222.50 1.09447 - 42.50 157.50 227.50 0.60778 - 42.50 157.50 232.50 0.295947 - 42.50 157.50 237.50 0.121998 - 42.50 157.50 242.50 0.0369167 - 42.50 157.50 247.50 0.0123625 - 42.50 157.50 252.50 0.0183379 - 42.50 157.50 257.50 0.067052 - 42.50 157.50 262.50 0.227896 - 42.50 157.50 267.50 0.620966 - 42.50 157.50 272.50 1.46809 - 42.50 157.50 277.50 2.50208 - 42.50 157.50 282.50 3.31096 - 42.50 157.50 287.50 3.52194 - 42.50 157.50 292.50 3.1379 - 42.50 157.50 297.50 2.5845 - 42.50 157.50 302.50 2.10945 - 42.50 157.50 307.50 1.61011 - 42.50 157.50 312.50 1.09447 - 42.50 157.50 317.50 0.60778 - 42.50 157.50 322.50 0.295949 - 42.50 157.50 327.50 0.121999 - 42.50 157.50 332.50 0.0369169 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0.235544 -357.50 177.50 197.50 0.0924005 -357.50 177.50 202.50 0.0569323 -357.50 177.50 207.50 0.0533237 -357.50 177.50 212.50 0.0573382 -357.50 177.50 217.50 0.0686385 -357.50 177.50 222.50 0.0739503 -357.50 177.50 227.50 0.0700448 -357.50 177.50 232.50 0.0576317 -357.50 177.50 237.50 0.0448351 -357.50 177.50 242.50 0.0436249 -357.50 177.50 247.50 0.0759278 -357.50 177.50 252.50 0.184365 -357.50 177.50 257.50 0.448902 -357.50 177.50 262.50 0.84601 -357.50 177.50 267.50 1.11342 -357.50 177.50 272.50 0.987352 -357.50 177.50 277.50 0.578476 -357.50 177.50 282.50 0.235544 -357.50 177.50 287.50 0.0924006 -357.50 177.50 292.50 0.0569323 -357.50 177.50 297.50 0.0533238 -357.50 177.50 302.50 0.0573383 -357.50 177.50 307.50 0.0686385 -357.50 177.50 312.50 0.0739503 -357.50 177.50 317.50 0.0700448 -357.50 177.50 322.50 0.0576317 -357.50 177.50 327.50 0.0448351 -357.50 177.50 332.50 0.0436248 -357.50 177.50 337.50 0.0759277 -357.50 177.50 342.50 0.184365 -357.50 177.50 347.50 0.448901 -357.50 177.50 352.50 0.84601 -357.50 177.50 357.50 1.11343 diff --git a/processing/pre/hybridIA_linODFsampling.py b/processing/pre/hybridIA_linODFsampling.py index 408b0b73b..b5db17ed8 100755 --- a/processing/pre/hybridIA_linODFsampling.py +++ b/processing/pre/hybridIA_linODFsampling.py @@ -1,4 +1,5 @@ -#!/usr/bin/env python +#!/usr/bin/python +# -*- coding: UTF-8 no BOM -*- from optparse import OptionParser import damask @@ -6,7 +7,8 @@ import os,sys,math,re,random,string import numpy as np scriptID = string.replace('$Id$','\n','\\n') -scriptName = scriptID.split()[1] +scriptName = os.path.splitext(scriptID.split()[1])[0] + # --- helper functions --- def integerFactorization(i): @@ -16,44 +18,6 @@ def integerFactorization(i): j -= 1 return j - -def TSLheader(sizeX,sizeY,step): - - return [ - '# TEM_PIXperUM 1.000000', - '# x-star 0.509548', - '# y-star 0.795272', - '# z-star 0.611799', - '# WorkingDistance 18.000000', - '#', - '# Phase 1', - '# MaterialName Al', - '# Formula Fe', - '# Info', - '# Symmetry 43', - '# LatticeConstants 2.870 2.870 2.870 90.000 90.000 90.000', - '# NumberFamilies 4', - '# hklFamilies 1 1 0 1 0.000000 1', - '# hklFamilies 2 0 0 1 0.000000 1', - '# hklFamilies 2 1 1 1 0.000000 1', - '# hklFamilies 3 1 0 1 0.000000 1', - '# Categories 0 0 0 0 0 ', - '#', - '# GRID: SquareGrid', - '# XSTEP: ' + str(step), - '# YSTEP: ' + str(step), - '# NCOLS_ODD: ' + str(sizeX), - '# NCOLS_EVEN: ' + str(sizeX), - '# NROWS: ' + str(sizeY), - '#', - '# OPERATOR: ODFsammpling', - '#', - '# SAMPLEID: ', - '#', - '# SCANID: ', - '#', - ] - def binAsBins(bin,intervals): """ explode compound bin into 3D bins list """ bins = [0]*3 @@ -120,11 +84,11 @@ def directInversion (ODF,nSamples): incFactor = 1.0 nInvSamplesUpper = directInvRepetitions(ODF['dV_V'],scaleUpper) nIter += 1 - table.croak('%i:(%12.11f,%12.11f) %i <= %i <= %i'%(nIter,scaleLower,scaleUpper, + damask.util.croak('%i:(%12.11f,%12.11f) %i <= %i <= %i'%(nIter,scaleLower,scaleUpper, nInvSamplesLower,nOptSamples,nInvSamplesUpper)) nInvSamples = nInvSamplesUpper scale = scaleUpper - table.croak('created set of %i samples (%12.11f) with scaling %12.11f delivering %i'%(nInvSamples, + damask.util.croak('created set of %i samples (%12.11f) with scaling %12.11f delivering %i'%(nInvSamples, float(nInvSamples)/nOptSamples-1.0, scale,nSamples)) repetition = [None]*ODF['nBins'] # preallocate and clear @@ -227,7 +191,7 @@ def TothVanHoutteSTAT (ODF,nSamples): countSamples += 1 indexSelector += 1 - table.croak('created set of %i when asked to deliver %i'%(countSamples,nSamples)) + damask.util.croak('created set of %i when asked to deliver %i'%(countSamples,nSamples)) return orientations, reconstructedODF @@ -260,10 +224,6 @@ parser.add_option('-r', '--rnd', dest = 'randomSeed', type = 'int', metavar = 'int', \ help = 'seed of random number generator [%default]') -parser.add_option('--ang', - dest = 'ang', - action = 'store_true', - help = 'write TSL/EDAX .ang file [%default]') parser.set_defaults(randomSeed = None, number = 500, algorithm = 'IA', @@ -284,37 +244,34 @@ if filenames == []: filenames = [None] for name in filenames: try: - table = damask.ASCIItable(name = name, - buffered = False, readonly = True) - except: continue - table.croak('\033[1m'+scriptName+'\033[0m'+(': '+name if name else '')) + table = damask.ASCIItable(name = name, buffered = False, readonly=True) + except: + continue + damask.util.report(scriptName,name) randomSeed = int(os.urandom(4).encode('hex'), 16) if options.randomSeed == None else options.randomSeed # random seed per file for second phase random.seed(randomSeed) -# ------------------------------------------ read header ------------------------------------------ - +# ------------------------------------------ read header and data --------------------------------- table.head_read() errors = [] labels = ['phi1','Phi','phi2','intensity'] for i,index in enumerate(table.label_index(labels)): - if index < 0: errors.append('label {} not present.'.format(labels[i]) + if index < 0: errors.append('label {} not present.'.format(labels[i])) if errors != []: - table.croak(errors) + damask.util.croak(errors) table.close(dismiss = True) continue -# ------------------------------------------ read data -------------------------------------------- + table.data_readArray(labels) - binnedODF = table.data_readArray(labels) - # --------------- figure out limits (left/right), delta, and interval ----------------------------- ODF = {} - limits = np.array([np.min(table.data,axis=0), - np.max(table.data,axis=0)]) + limits = np.array([np.min(table.data[:,0:3],axis=0), + np.max(table.data[:,0:3],axis=0)]) ODF['limit'] = np.radians(limits[1,:]) ODF['center'] = 0.0 if all(limits[0,:]<1e-8) else 0.5 # vertex or cell centered @@ -322,8 +279,8 @@ for name in filenames: ODF['nBins'] = ODF['interval'].prod() ODF['delta'] = np.radians(np.array(limits[1,0:3]-limits[0,0:3])/(ODF['interval']-1)) - if binnedODF[0] != ODF['nBins']: - table.croak('expecting %i values but got %i'%(ODF['nBins'],len(linesBinnedODF))) + if table.data.shape[0] != ODF['nBins']: + damask.util.croak('expecting %i values but got %i'%(ODF['nBins'],table.data.shape[0])) continue # build binnedODF array @@ -333,15 +290,16 @@ for name in filenames: dg = ODF['delta'][0]*2.0*math.sin(ODF['delta'][1]/2.0)*ODF['delta'][2] for b in range(ODF['nBins']): ODF['dV_V'][b] = \ - max(0.0,table.data[b,column['intensity']]) * dg * \ + max(0.0,table.data[b,table.label_index('intensity')]) * dg * \ math.sin(((b//ODF['interval'][2])%ODF['interval'][1]+ODF['center'])*ODF['delta'][1]) if ODF['dV_V'][b] > 0.0: sumdV_V += ODF['dV_V'][b] ODF['nNonZero'] += 1 - for b in range(ODF['nBins']): ODF['dV_V'][b] /= sumdV_V # normalize dV/V + for b in range(ODF['nBins']): + ODF['dV_V'][b] /= sumdV_V # normalize dV/V - table.croak(['non-zero fraction: %12.11f (%i/%i)'%(float(ODF['nNonZero'])/ODF['nBins'], + damask.util.croak(['non-zero fraction: %12.11f (%i/%i)'%(float(ODF['nNonZero'])/ODF['nBins'], ODF['nNonZero'], ODF['nBins']), 'Volume integral of ODF: %12.11f\n'%sumdV_V, @@ -371,7 +329,7 @@ for name in filenames: indivSum['orig'] += ODF['dV_V'][bin] indivSquaredSum['orig'] += ODF['dV_V'][bin]**2 - table.croak(['sqrt(N*)RMSD of ODFs:\t %12.11f'% math.sqrt(nSamples*squaredDiff[method]), + damask.util.croak(['sqrt(N*)RMSD of ODFs:\t %12.11f'% math.sqrt(nSamples*squaredDiff[method]), 'RMSrD of ODFs:\t %12.11f'%math.sqrt(squaredRelDiff[method]), 'rMSD of ODFs:\t %12.11f'%(squaredDiff[method]/indivSquaredSum['orig']), 'nNonZero correlation slope:\t %12.11f'\ @@ -390,7 +348,7 @@ for name in filenames: materialConfig = [ '#' + scriptID + ' ' + ' '.join(sys.argv[1:]), - '# random seed %i'%randomSeed + '# random seed %i'%randomSeed, '#-------------------#', '', '#-------------------#', @@ -412,31 +370,12 @@ for name in filenames: eulers = Orientations[ID] materialConfig += ['[Grain%s]'%(str(ID+1).zfill(formatwidth)), - '(gauss) phi1 %10.5f Phi %10.5f phi2 %10.6f scatter 0.0 fraction 1.0'%(*eulers), + '(gauss) phi1 {} Phi {} phi2 {} scatter 0.0 fraction 1.0'.format(*eulers), ] #--- output finalization -------------------------------------------------------------------------- - with (open(os.path.splitext(name)[0]+'_'+method+'_'+str(nSamples)+'_material.config','w') as outfile: + with (open(os.path.splitext(name)[0]+'_'+method+'_'+str(nSamples)+'_material.config','w')) as outfile: outfile.write('\n'.join(materialConfig)+'\n') - # write ang file - if options.ang: - with open(os.path.splitext(name)[0]+'_'+method+'_'+str(nSamples)+'.ang','w') as outfile: - sizeY = integerFactorization(nSamples) - sizeX = nSamples / sizeY - table.croak('Writing .ang file: %i * %i = %i (== %i)'%(sizeX,sizeY,sizeX*sizeY,nSamples)) - # write header - outfile.write('\n'.join(TSLheader(sizeX,sizeY,1.0))+'\n') - - # write data - counter = 0 - for eulers in Orientations: - outfile.write('%10.5f %10.5f %10.5f '%(*np.radians(eulers)) + - '%10.5f %10.5f '%(counter%sizeX,counter//sizeX) + - '100.0 1.0 0 1 1.0\n') - counter += 1 - - #--- output finalization -------------------------------------------------------------------------- - table.close()