Updated the api names and test cases

Author: rahulr-NI

build/helper/codegen_helper.py

@@ -132,10 +132,7 @@ def _get_library_interpreter_output_param_return_snippet(output_parameter, param
     val_suffix = '' if is_custom_type else '.value'
 
     if output_parameter['use_array']:
-        if output_parameter['numpy'] and output_parameter['complex_type'] is not None:
-            snippet = 'list({}_array)'.format(output_parameter['python_name'])
-        else:
-            snippet = '{}_array'.format(output_parameter['python_name'])
+        snippet = '{}_array'.format(output_parameter['python_name'])
     elif output_parameter['is_buffer']:
         if output_parameter['size']['mechanism'] == 'fixed':
             size = str(output_parameter['size']['value'])

build/helper/metadata_add_all.py

@@ -133,9 +133,9 @@ def _add_complex_type(parameter):
 
 
 def _add_array_dimension(parameter):
-    '''Adds a array_dimension parameter to the metadata for 3d arrays'''
+    '''Adds a array_dimension parameter to the metadata for multi dimensional arrays'''
     if 'array_dimension' not in parameter:
-        parameter['array_dimension'] = 0
+        parameter['array_dimension'] = 1
 
 
 def _add_numpy_info(parameter, parameters, config):

build/templates/_library_interpreter.py.mako

@@ -55,10 +55,10 @@ def _get_ctypes_pointer_for_buffer(value=None, library_type=None, size=None):
             complex_dtype = numpy.dtype(library_type)
             if value.ndim > 1:
                 # we create a flattened view of the multi-dimensional numpy array
-                structured_array = value.reshape(-1).view(complex_dtype)
+                restructured_array_view = value.ravel().view(complex_dtype)
             else:
-                structured_array = value.view(complex_dtype)
-            return structured_array.ctypes.data_as(ctypes.POINTER(library_type))
+                restructured_array_view = value.view(complex_dtype)
+            return restructured_array_view.ctypes.data_as(ctypes.POINTER(library_type))
         else:
             return numpy.ctypeslib.as_ctypes(value)
         % else:

build/templates/session.py/numpy_3d_array_method.py.mako

@@ -30,6 +30,10 @@
             raise TypeError('${parameter['python_name']} must be in C-order')
         if ${parameter['python_name']}.dtype is not numpy.dtype('${parameter['numpy_type']}'):
             raise TypeError('${parameter['python_name']} must be numpy.ndarray of dtype=${parameter['numpy_type']}, is ' + str(${parameter['python_name']}.dtype))
+%   if parameter['array_dimension'] > 1:
+        if ${parameter['python_name']}.ndim != ${parameter['array_dimension']}:
+            raise TypeError('${parameter['python_name']} must be numpy.ndarray of dimension=${parameter['array_dimension']}, is ' + str(${parameter['python_name']}.ndim))
+%   endif
 % endfor
 % for p in helper.filter_parameters(parameters, helper.ParameterUsageOptions.INTERPRETER_METHOD_CALL):
 %   if 'python_api_converter_name' in p: