Inclusive Testing (#48)

* Fixed several errors with calls and tests.

The inclusive_scan_operations.py file was not calling the correct function, had to add that in with the correct c pointer calls.
Dove into the c++ files for the dim assertion error, realized that was just an issue with the c++ file, fixed that as well.
The test_inclusive.py file didn't have F16 coverage, checked for that as well.

* Adhered to checkstyle requirements.

---------

Co-authored-by: AzeezIsh <[email protected]>

Author: AzeezIsh

arrayfire_wrapper/lib/vector_algorithms/inclusive_scan_operations.py

@@ -28,7 +28,7 @@ def scan_by_key(key: AFArray, arr: AFArray, dim: int, op: BinaryOperator, inclus
     source: https://arrayfire.org/docs/group__scan__func__scanbykey.htm#gaaae150e0f197782782f45340d137b027
     """
     out = AFArray.create_null_pointer()
-    call_from_clib(scan.__name__, ctypes.pointer(out), key, arr, dim, op.value, inclusive_scan)
+    call_from_clib(scan_by_key.__name__, ctypes.pointer(out), key, arr, dim, op.value, inclusive_scan)
     return out
 
 

tests/test_inclusive.py

@@ -0,0 +1,228 @@
+import pytest
+
+import arrayfire_wrapper.dtypes as dtype
+import arrayfire_wrapper.lib as wrapper
+from tests.utility_functions import check_type_supported, get_all_types, get_real_types
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (3,),
+        (3, 3),
+        (3, 3, 3),
+        (3, 3, 3, 3),
+    ],
+)
+@pytest.mark.parametrize("dtype_name", get_all_types())
+def test_accum_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
+    """Test accumulate operation across all supported data types."""
+    check_type_supported(dtype_name)
+    if dtype_name == dtype.f16:
+        pytest.skip()
+    values = wrapper.randu(shape, dtype_name)
+    result = wrapper.accum(values, 0)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "dim",
+    [
+        0,
+        1,
+        2,
+        3,
+    ],
+)
+def test_accum_dims(dim: int) -> None:
+    """Test accumulate dimensions operation"""
+    shape = (3, 3)
+    values = wrapper.randu(shape, dtype.f32)
+    result = wrapper.accum(values, dim)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "invdim",
+    [
+        -1,
+        5,
+    ],
+)
+def test_accum_invdims(invdim: int) -> None:
+    """Test accumulate invalid dimensions operation"""
+    with pytest.raises(RuntimeError):
+        shape = (3, 3)
+        values = wrapper.randu(shape, dtype.f32)
+        result = wrapper.accum(values, invdim)
+        assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (3,),
+        (3, 3),
+        (3, 3, 3),
+        (3, 3, 3, 3),
+    ],
+)
+@pytest.mark.parametrize("dtype_name", get_all_types())
+def test_scan_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
+    """Test scan operation across all supported data types."""
+    check_type_supported(dtype_name)
+    if dtype_name == dtype.f16:
+        pytest.skip()
+    values = wrapper.randu(shape, dtype_name)
+    result = wrapper.scan(values, 0, wrapper.BinaryOperator.ADD, True)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}, dtype {dtype_name}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "dim",
+    [
+        0,
+        1,
+        2,
+        3,
+    ],
+)
+def test_scan_dims(dim: int) -> None:
+    """Test scan dimensions operation"""
+    shape = (3, 3)
+    values = wrapper.randu(shape, dtype.f32)
+    result = wrapper.scan(values, dim, wrapper.BinaryOperator.ADD, True)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for dimension: {dim}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "invdim",
+    [
+        -1,
+        5,
+    ],
+)
+def test_scan_invdims(invdim: int) -> None:
+    """Test scan invalid dimensions operation"""
+    with pytest.raises(RuntimeError):
+        shape = (3, 3)
+        values = wrapper.randu(shape, dtype.f32)
+        result = wrapper.scan(values, invdim, wrapper.BinaryOperator.ADD, True)
+        assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "binaryOp",
+    [
+        0,
+        1,
+        2,
+        3,
+    ],
+)
+def test_scan_binaryOp(binaryOp: int) -> None:
+    """Test scan dimensions operation"""
+    shape = (3, 3)
+    values = wrapper.randu(shape, dtype.f32)
+    result = wrapper.scan(values, 0, wrapper.BinaryOperator(binaryOp), True)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for operation: {binaryOp}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (3,),
+        (3, 3),
+        (3, 3, 3),
+        (3, 3, 3, 3),
+    ],
+)
+@pytest.mark.parametrize("dtype_name", get_real_types())
+def test_scan_by_key_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
+    """Test scan_by_key operation across all supported data types."""
+    check_type_supported(dtype_name)
+    if (
+        dtype_name == dtype.f16
+        or dtype_name == dtype.f32
+        or dtype_name == dtype.uint16
+        or dtype_name == dtype.uint8
+        or dtype_name == dtype.int16
+    ):
+        pytest.skip()
+    values = wrapper.randu(shape, dtype_name)
+    result = wrapper.scan_by_key(values, values, 0, wrapper.BinaryOperator.ADD, True)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}, dtype {dtype_name}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "dim",
+    [
+        0,
+        1,
+        2,
+        3,
+    ],
+)
+def test_scan_by_key_dims(dim: int) -> None:
+    """Test scan_by_key dimensions operation"""
+    shape = (3, 3)
+    values = wrapper.randu(shape, dtype.int32)
+    result = wrapper.scan_by_key(values, values, dim, wrapper.BinaryOperator.ADD, True)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for dimension: {dim}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "invdim",
+    [
+        -1,
+        5,
+    ],
+)
+def test_scan_by_key_invdims(invdim: int) -> None:
+    """Test scan_by_key invalid dimensions operation"""
+    with pytest.raises(RuntimeError):
+        shape = (3, 3)
+        values = wrapper.randu(shape, dtype.int32)
+        result = wrapper.scan_by_key(values, values, invdim, wrapper.BinaryOperator.ADD, True)
+        assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "binaryOp",
+    [
+        0,
+        1,
+        2,
+        3,
+    ],
+)
+def test_scan_by_key_binaryOp(binaryOp: int) -> None:
+    """Test scan_by_key dimensions operation"""
+    shape = (3, 3)
+    values = wrapper.randu(shape, dtype.int32)
+    result = wrapper.scan_by_key(values, values, 0, wrapper.BinaryOperator(binaryOp), True)
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for operation: {binaryOp}"  # noqa
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (3,),
+        (3, 3),
+        (3, 3, 3),
+        (3, 3, 3, 3),
+    ],
+)
+@pytest.mark.parametrize("dtype_name", get_real_types())
+def test_where_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
+    """Test where operation across all supported data types."""
+    check_type_supported(dtype_name)
+    if dtype_name == dtype.f16:
+        pytest.skip()
+    values = wrapper.randu(shape, dtype_name)
+    result = wrapper.where(values)
+    assert wrapper.get_dims(result)[0] == 3 ** len(shape), f"failed for shape: {shape}, dtype {dtype_name}"  # noqa