Transonic-Pythran

.hgignore

@@ -23,6 +23,8 @@ venv/*
 
 *build/*
 **/__pythran__
+**/__python__
+**/__numba__
 .tox/*
 
 *.so

fluidimage/calcul/interpolate/meson.build

@@ -21,4 +21,8 @@ py.install_sources(
   subdir: 'fluidimage/calcul/interpolate'
 )
 
+run_command(['transonic', '--meson', '--backend', backend, 'thin_plate_spline.py'], check: true)
 
+foreach be : backends
+  subdir('__' + be + '__')
+endforeach

fluidimage/calcul/meson.build

@@ -21,3 +21,10 @@ py.install_sources(
 
 subdir('interpolate')
 subdir('plot_evaluate_subpix')
+
+run_command(['transonic', '--meson', '--backend', backend, 'correl.py', 'subpix.py'], check: true)
+
+foreach be : backends
+  subdir('__' + be + '__')
+endforeach
+

fluidimage/topologies/example.py

@@ -27,10 +27,10 @@
 def cpu1(array1: A, array2: A, nloops: int = 10):
     a = np.arange(10000000 // nloops)
     result = a
-    for i in range(nloops):
+    for _ in range(nloops):
         result += a**3 + a**2 + 2
 
-    for i in range(nloops):
+    for _ in range(nloops):
         array1 = array1 * array2
     return (array1, array1)
 
@@ -39,10 +39,10 @@ def cpu1(array1: A, array2: A, nloops: int = 10):
 def cpu2(array1: A, array2: A, nloops: int = 10):
     a = np.arange(10000000 // nloops)
     result = a
-    for i in range(nloops):
+    for _ in range(nloops):
         result += a**3 + a**2 + 2
 
-    for i in range(nloops):
+    for _ in range(nloops):
         array1 = np.multiply(array1, array2)
     return array1
 

fluidimage/topologies/meson.build

@@ -26,4 +26,8 @@ py.install_sources(
   subdir: 'fluidimage/topologies'
 )
 
+run_command(['transonic', '--meson', '--backend', backend, 'example.py'], check: true)
 
+foreach be : backends
+  subdir('__' + be + '__')
+endforeach