Adaptations to reduction test

tests/kernelcreation/test_reduction.py

@@ -6,39 +6,23 @@ import pystencils as ps
 from pystencils import AddReducedAssignment
 
 
-@pytest.mark.parametrize('dtype', ["float64", "float32"])
-def test_log(dtype):
-    a = sp.Symbol("a")
+@pytest.mark.parametrize('dtype', ["float64"])
+def test_reduction(dtype):
     x = ps.fields(f'x: {dtype}[1d]')
+    w = sp.Symbol("w")
 
-    # kernel with main assignments and no reduction
+    # kernel with reduction assignment
 
-    main_assignment = ps.AssignmentCollection({x.center(): a})
+    reduction_assignment = AddReducedAssignment(w, x.center())
 
-    ast_main = ps.create_kernel(main_assignment, default_dtype=dtype)
-    code_main = ps.get_code_str(ast_main)
-    kernel_main = ast_main.compile()
+    config = ps.CreateKernelConfig(cpu_openmp=True)
 
-    # ps.show_code(ast)
-
-    if dtype == "float64":
-        assert "float" not in code_main
-
-    array = np.zeros((10,), dtype=dtype)
-    kernel_main(x=array, a=100)
-    assert np.allclose(array, 4.60517019)
-
-    # kernel with single reduction assignment
-
-    omega = sp.Symbol("omega")
-
-    reduction_assignment = AddReducedAssignment(omega, x.center())
-
-    ast_reduction = ps.create_kernel(reduction_assignment, default_dtype=dtype)
-    code_reduction = ps.get_code_str(ast_reduction)
+    ast_reduction = ps.create_kernel([reduction_assignment], config, default_dtype=dtype)
+    #code_reduction = ps.get_code_str(ast_reduction)
     kernel_reduction = ast_reduction.compile()
 
-    if dtype == "float64":
-        assert "float" not in code_reduction
+    ps.show_code(ast_reduction)
 
-    ps.show_code(ast_reduction)
+    array = np.ones((10,), dtype=dtype)
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+    kernel_reduction(x=array, w=0)
+    # TODO: check if "w = #points"
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