Added custom LofarDeviceProxy to enhance support for high-dimensional arrays in attribtues

lofar_station_client/device_proxy.py

-from tango import DeviceProxy
-from tango import ExtractAs
+import ast
+from functools import lru_cache
 
 import numpy
 
-import ast
-from functools import lru_cache
+from tango import DeviceProxy
+from tango import ExtractAs
+
 
 class LofarDeviceProxy(DeviceProxy):
-    """ A LOFAR-specific tango.DeviceProxy that provides
-        a richer experience. """
+    """A LOFAR-specific tango.DeviceProxy that provides
+    a richer experience."""
 
     # cache attribute configurations, as they are not expected to change,
     # but carry a cost to retrieve from the server.
@@ -22,7 +23,7 @@ class LofarDeviceProxy(DeviceProxy):
         # "format" property describes actual dimensions as a tuple (x, y, z, ...),
         # so reshape the value accordingly.
         fmt = self.get_attribute_config(name).format
-        if fmt and fmt[0] == "(" and type(attr.value) == numpy.ndarray:
+        if fmt and fmt[0] == "(" and isinstance(attr.value, numpy.ndarray):
             shape = ast.literal_eval(fmt)
             attr.value = attr.value.reshape(shape)