cleaning up my PR

pyccel/ast/class_defs.py

@@ -23,23 +23,23 @@
 from .numpytypes import NumpyNumericType, NumpyNDArrayType
 from .cudatypes  import CudaArrayType
 
 __all__ = (
     'BooleanClass',
     'CudaArrayClass',
     'IntegerClass',
     'FloatClass',
     'ComplexClass',
     'DictClass',
     'FloatClass',
     'IntegerClass',
     'ListClass',
     'NumpyArrayClass',
     'SetClass',
     'StringClass',
     'TupleClass',
     'get_cls_base',
     'literal_classes',
 )
 #=======================================================================================
 
 #=======================================================================================
@@ -266,8 +266,6 @@
         return CudaArrayClass
     elif isinstance(class_type, (NumpyNumericType, NumpyNDArrayType)):
         return NumpyArrayClass
-
-
     # elif isinstance(class_type, StackArrayType):
     elif isinstance(class_type, TupleType):
         return TupleClass

pyccel/stdlib/ndarrays/ndarrays.c

@@ -664,7 +664,6 @@ void copy_data(t_ndarray **ds, t_ndarray src, uint32_t offset, bool elem_wise_cp
     }
 }
 
-#=
 
 void array_copy_data(t_ndarray *dest, t_ndarray src, uint32_t offset)
 {

tests/pyccel/test_pyccel.py

@@ -62,9 +62,8 @@ def compile_pyccel(path_dir, test_file, options = ""):
     cmd = [shutil.which("pyccel"), test_file]
     if options != "":
         cmd += options.strip().split()
-    p = subprocess.run(cmd, capture_output = True, universal_newlines=True, cwd=path_dir)
-    print(p.stdout)
-    print(p.stderr)
+    p = subprocess.Popen(cmd, universal_newlines=True, cwd=path_dir)
+    p.wait()
     assert p.returncode==0
 
 #------------------------------------------------------------------------------