Organize array datamodel tests

Author: ZzEeKkAa

numba_dpex/tests/core/types/DpnpNdArray/test_models.py

@@ -0,0 +1,62 @@
+# SPDX-FileCopyrightText: 2020 - 2023 Intel Corporation
+#
+# SPDX-License-Identifier: Apache-2.0
+
+import pytest
+from numba import types
+from numba.core.datamodel import default_manager, models
+from numba.core.registry import cpu_target
+
+from numba_dpex.core.datamodel.models import (
+    USMArrayDeviceModel,
+    USMArrayHostModel,
+    dpex_data_model_manager,
+)
+from numba_dpex.core.types.dpnp_ndarray_type import DpnpNdArray, USMNdArray
+
+
+@pytest.fixture(
+    params=[
+        array(ndim=ndim, dtype=types.float32, layout="C")
+        for array in [DpnpNdArray, USMNdArray]
+        for ndim in range(4)
+    ]
+)
+def nd_array(request):
+    return request.param
+
+
+def test_model_for_array(nd_array):
+    """Test the datamodel for DpnpNdArray that is registered with numba's
+    default datamodel manager and numba_dpex's kernel data model manager.
+    """
+    device_model = dpex_data_model_manager.lookup(nd_array)
+    assert isinstance(device_model, USMArrayDeviceModel)
+    host_model = default_manager.lookup(nd_array)
+    assert isinstance(host_model, USMArrayHostModel)
+
+
+def test_dpnp_usm_ndarray_model():
+    """Test for dpctl.tensor.usm_ndarray model.
+
+    It is a subclass of models.StructModel and models.ArrayModel.
+    """
+
+    assert issubclass(USMArrayHostModel, models.StructModel)
+    assert issubclass(USMArrayDeviceModel, models.StructModel)
+
+
+def test_flattened_member_count(nd_array):
+    """Test that the number of flattened member count matches the number of
+    flattened args generated by the CpuTarget's ArgPacker.
+    """
+
+    cputargetctx = cpu_target.target_context
+    dpex_dmm = cputargetctx.data_model_manager
+
+    argty_tuple = tuple([nd_array])
+    datamodel = dpex_dmm.lookup(nd_array)
+    num_flattened_args = datamodel.flattened_field_count
+    ap = cputargetctx.get_arg_packer(argty_tuple)
+
+    assert num_flattened_args == len(ap._be_args)