From: Michael Orlitzky <michael@orlitzky.com>
Date: Tue, 17 Apr 2012 01:31:41 +0000 (-0400)
Subject: Make the minimum number of changes necessary to work with repa-3.1.1.1. Unfortunately... 
X-Git-Tag: 0.0.1~52
X-Git-Url: http://gitweb.michael.orlitzky.com/?p=spline3.git;a=commitdiff_plain;h=3544d15ebbd0176c9aac2fd0e0e94468abc56879

Make the minimum number of changes necessary to work with repa-3.1.1.1. Unfortunately, to do so, we compute some things sequentially.
---

diff --git a/src/Grid.hs b/src/Grid.hs
index 26f4425..192bbaf 100644
--- a/src/Grid.hs
+++ b/src/Grid.hs
@@ -10,6 +10,7 @@ module Grid (
 where
 
 import qualified Data.Array.Repa as R
+import qualified Data.Array.Repa.Operators.Traversal as R (unsafeTraverse)
 import Test.HUnit (Assertion, assertEqual)
 import Test.Framework (Test, testGroup)
 import Test.Framework.Providers.HUnit (testCase)
@@ -121,7 +122,7 @@ zoom :: Values3D -> ScaleFactor -> Values3D
 zoom v3d scale_factor
     | xsize == 0 || ysize == 0 || zsize == 0 = empty3d
     | otherwise =
-        R.compute $ R.unsafeTraverse v3d transExtent f
+        R.computeS $ R.unsafeTraverse v3d transExtent f
           where
             (xsize, ysize, zsize) = dims v3d
             transExtent = zoom_shape scale_factor
diff --git a/src/MRI.hs b/src/MRI.hs
index a246bf5..094991c 100644
--- a/src/MRI.hs
+++ b/src/MRI.hs
@@ -20,11 +20,13 @@ where
 
 import Data.Word
 import Data.Bits
-import Data.Array.Repa                  as R
-import Data.Array.Repa.Repr.Unboxed     as R
-import Data.Array.Repa.IO.Binary        as R
+import Data.Array.Repa                          as R
+import Data.Array.Repa.Eval                     as R (now)
+import Data.Array.Repa.Repr.Unboxed             as R
+import Data.Array.Repa.IO.Binary                as R
 import Data.Array.Repa.Algorithms.ColorRamp     as R
-import Data.Array.Repa.IO.BMP           as R (writeImageToBMP)
+import Data.Array.Repa.Operators.Traversal      as R (unsafeTraverse)
+import Data.Array.Repa.IO.BMP                   as R (writeImageToBMP)
 
 import Values
 
@@ -64,7 +66,7 @@ type ColorData sh = Array U sh RGB
 read_word16s :: FilePath -> IO RawData3D
 read_word16s path = do
   arr <- R.readArrayFromStorableFile path mri_shape
-  now $ R.copy arr
+  now $ R.copyS arr
 
 
 
@@ -123,7 +125,7 @@ write_word16s = R.writeArrayToStorableFile
 
 values_to_colors :: (Shape sh) => (Values sh) -> (ColorData sh)
 values_to_colors arr =
-  R.compute $ R.map (truncate_rgb . ramp_it) arr
+  R.computeS $ R.map (truncate_rgb . ramp_it) arr
   where
     ramp_it :: Double -> (Double, Double, Double)
     ramp_it x =
@@ -151,4 +153,4 @@ write_values_slice_to_bitmap v3d path =
   R.writeImageToBMP path colors
   where
     arr_bracketed = bracket_array v3d
-    colors = values_to_colors $ R.compute $ R.map fromIntegral arr_bracketed
+    colors = values_to_colors $ R.computeS $ R.map fromIntegral arr_bracketed
diff --git a/src/Main.hs b/src/Main.hs
index cfd1724..c1456f4 100644
--- a/src/Main.hs
+++ b/src/Main.hs
@@ -34,9 +34,9 @@ main3d = do
   arr <- read_word16s in_file
   let arr'          = swap_bytes arr
   let arrMRI        = R.reshape mri_shape arr'
-  let dbl_data      = R.compute $ R.map fromIntegral arrMRI
+  let dbl_data      = R.computeS $ R.map fromIntegral arrMRI
   let output        = zoom dbl_data zoom_factor
-  let word16_output = R.compute $ round_array output
+  let word16_output = R.computeS $ round_array output
   write_word16s out_file word16_output
 
 
@@ -47,13 +47,13 @@ main2d = do
   let zoom_factor = (1, scale, scale)
   let out_file = "output.bmp"
   arr           <- read_word16s in_file
-  let arrSlice  = R.computeUnboxed $ z_slice 50 $ flip_x $ flip_y $ swap_bytes arr
+  let arrSlice  = R.computeUnboxedS $ z_slice 50 $ flip_x $ flip_y $ swap_bytes arr
   let arrSlice' = R.reshape mri_slice3d arrSlice
 
   -- If zoom isn't being inlined we need to extract the slice before hand,
   -- and convert it to the require formed.
-  let dbl_data  = R.compute $ R.map fromIntegral arrSlice'
+  let dbl_data  = R.computeS $ R.map fromIntegral arrSlice'
   let output    = zoom dbl_data zoom_factor
-  let arrSlice0 = R.computeUnboxed $ z_slice 0 output
+  let arrSlice0 = R.computeUnboxedS $ z_slice 0 output
   
   write_values_slice_to_bitmap arrSlice0 out_file