[Py] Update documentation for utility test functions. (#3115)

* Update documentation for utility test functions.

* Remove unnecesary code and update comment.

python/test/ngraph/util.py

@@ -16,9 +16,8 @@
 
 import numpy as np
 import ngraph as ng
-
-from string import ascii_uppercase
-
+from ngraph.utils.types import NumericData
+from typing import Any, Callable, List
 import test
 
 
@@ -32,10 +31,14 @@ def get_runtime():
 
 
 def run_op_node(input_data, op_fun, *args):
+    # type: (NumericData, Callable, *Any) -> List[NumericData]
     """Run computation on node performing `op_fun`.
 
     `op_fun` has to accept a node as an argument.
 
+    This function converts passed raw input data to nGraph Constant Node and that form is passed
+    to `op_fun`.
+
     :param input_data: The input data for performed computation.
     :param op_fun: The function handler for operation we want to carry out.
     :param args: The arguments passed to operation we want to carry out.
@@ -45,14 +48,8 @@ def run_op_node(input_data, op_fun, *args):
     comp_args = []
     op_fun_args = []
     comp_inputs = []
-    for idx, data in enumerate(input_data):
-        if np.isscalar(data):
-            op_fun_args.append(ng.constant(data, _get_numpy_dtype(data)))
-        else:
-            node = ng.parameter(data.shape, name=ascii_uppercase[idx], dtype=data.dtype)
-            op_fun_args.append(node)
-            comp_args.append(node)
-            comp_inputs.append(data)
+    for data in input_data:
+        op_fun_args.append(ng.constant(data, _get_numpy_dtype(data)))
     op_fun_args.extend(args)
     node = op_fun(*op_fun_args)
     computation = runtime.computation(node, *comp_args)
@@ -60,10 +57,15 @@ def run_op_node(input_data, op_fun, *args):
 
 
 def run_op_numeric_data(input_data, op_fun, *args):
+    # type: (NumericData, Callable, *Any) -> List[NumericData]
     """Run computation on node performing `op_fun`.
 
     `op_fun` has to accept a scalar or an array.
 
+    This function passess input data AS IS. This mean that in case they're a scalar (integral,
+    or floating point value) or a NumPy's ndarray object they will be automatically converted
+    to nGraph's Constant Nodes.
+
     :param input_data: The input data for performed computation.
     :param op_fun: The function handler for operation we want to carry out.
     :param args: The arguments passed to operation we want to carry out.