Use numpy.ctypeslib

To avoid (silent) errors when reading lists / arrays in the parameter
provider, explicitly use numpy.ctypeslib

cadet/cadet_dll_utils.py

@@ -46,8 +46,9 @@ def param_provider_get_double(
         except TypeError:
             float_val = float(o[0])
 
-        val[0] = ctypes.c_double(float_val)
-        log_print(f"GET scalar [double] {n}: {float(val[0])}")
+        np_val = np.ctypeslib.as_array(val, shape=(1,))
+        np_val[0] = float_val
+        log_print(f"GET scalar [double] {n}: {np_val[0]}")
         return 0
 
     return -1
@@ -85,8 +86,9 @@ def param_provider_get_int(
         except TypeError:
             int_val = int(o[0])
 
-        val[0] = ctypes.c_int(int_val)
-        log_print(f"GET scalar [int] {n}: {int(val[0])}")
+        np_val = np.ctypeslib.as_array(val, shape=(1,))
+        np_val[0] = int_val
+        log_print(f"GET scalar [int] {n}: {np_val[0]}")
         return 0
 
     return -1
@@ -124,8 +126,9 @@ def param_provider_get_bool(
         except TypeError:
             int_val = int(o[0])
 
-        val[0] = ctypes.c_uint8(int_val)
-        log_print(f"GET scalar [bool] {n}: {bool(val[0])}")
+        np_val = np.ctypeslib.as_array(val, shape=(1,))
+        np_val[0] = int_val
+        log_print(f"GET scalar [bool] {n}: {bool(np_val[0])}")
         return 0
 
     return -1
@@ -208,8 +211,9 @@ def param_provider_get_double_array(
     if n in c:
         o = c[n]
         if isinstance(o, list):
-            o = np.ascontiguousarray(o)
-        if not isinstance(o, np.ndarray) or o.dtype != np.double or not o.flags.c_contiguous:
+            o = np.ascontiguousarray(o, dtype=np.float64)
+
+        if not isinstance(o, np.ndarray) or o.dtype != np.float64 or not o.flags.c_contiguous:
             return -1
 
         n_elem[0] = ctypes.c_int(o.size)
@@ -251,8 +255,9 @@ def param_provider_get_int_array(
     if n in c:
         o = c[n]
         if isinstance(o, list):
-            o = np.ascontiguousarray(o)
-        if not isinstance(o, np.ndarray) or o.dtype != int or not o.flags.c_contiguous:
+            o = np.ascontiguousarray(o, dtype=np.int32)
+
+        if not isinstance(o, np.ndarray) or o.dtype != np.int32 or not o.flags.c_contiguous:
             return -1
 
         n_elem[0] = ctypes.c_int(o.size)
@@ -339,9 +344,20 @@ def param_provider_get_int_array_item(
         o = c[n]
 
         try:
-            int_val = int(o)
-        except TypeError:
-            int_val = int(o[index])
+            # If it's a list, convert it to a NumPy array
+            if isinstance(o, list):
+                o = np.ascontiguousarray(o, dtype=np.int32)
+
+            # Validate it's a NumPy array with appropriate dtype
+            if isinstance(o, np.ndarray) and o.dtype == np.int32:
+                int_val = o[index]  # Retrieve the value by index
+            else:
+                # Handle scalar values
+                int_val = int(o)
+
+        except (TypeError, IndexError) as e:
+            log_print(f"ERROR retrieving array item for {n} at index {index}: {e}")
+            return -1
 
         val[0] = ctypes.c_int(int_val)
         log_print(f"GET array [int] ({index}) {n}: {val[0]}")