Added unit tests for the diagonal function

arrayfire_wrapper/lib/create_and_modify_array/manage_array.py

@@ -166,7 +166,7 @@ def get_scalar(arr: AFArray, dtype: Dtype, /) -> int | float | complex | bool |
     out = dtype.c_type()
     call_from_clib(get_scalar.__name__, ctypes.pointer(out), arr)
     if dtype == c32 or dtype == c64:
-        return complex(out[0], out[1]) # type: ignore
+        return complex(out[0], out[1])  # type: ignore
     else:
         return cast(int | float | complex | bool | None, out.value)
 

tests/test_diag.py

@@ -0,0 +1,43 @@
+import pytest
+
+import arrayfire_wrapper.dtypes as dtypes
+import arrayfire_wrapper.lib as wrapper
+
+
+@pytest.mark.parametrize("diagonal_shape", [(2,), (10,), (100,), (1000,)])
+def test_diagonal_shape(diagonal_shape: tuple) -> None:
+    """Test if diagonal array is keeping the shape of the passed into the input array"""
+    in_arr = wrapper.constant(1, diagonal_shape, dtypes.s16)
+    diag_array = wrapper.diag_create(in_arr, 0)
+
+    extracted_diagonal = wrapper.diag_extract(diag_array, 0)
+
+    assert wrapper.get_dims(extracted_diagonal)[0 : len(diagonal_shape)] == diagonal_shape  # noqa: E203
+
+
+@pytest.mark.parametrize("diagonal_shape", [(2,), (10,), (100,), (1000,)])
+def test_diagonal_val(diagonal_shape: tuple) -> None:
+    """Test if diagonal array is keeping the same value as that of the values passed into the input array"""
+    dtype = dtypes.s16
+    in_arr = wrapper.constant(1, diagonal_shape, dtype)
+    diag_array = wrapper.diag_create(in_arr, 0)
+
+    extracted_diagonal = wrapper.diag_extract(diag_array, 0)
+
+    assert wrapper.get_scalar(extracted_diagonal, dtype) == wrapper.get_scalar(in_arr, dtype)
+
+
+@pytest.mark.parametrize(
+    "diagonal_shape",
+    [
+        (10, 10, 10),
+        (100, 100, 100, 100),
+    ],
+)
+def test_invalid_diagonal(diagonal_shape: tuple) -> None:
+    """Test if an invalid diagonal shape is being properly handled"""
+    with pytest.raises(RuntimeError):
+        in_arr = wrapper.constant(1, diagonal_shape, dtypes.s16)
+        diag_array = wrapper.diag_create(in_arr, 0)
+
+        wrapper.diag_extract(diag_array, 0)

tests/test_random.py

@@ -0,0 +1,111 @@
+import random
+
+import pytest
+
+import arrayfire_wrapper.dtypes as dtypes
+import arrayfire_wrapper.lib as wrapper
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (random.randint(1, 10), 1),
+        (random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+    ],
+)
+def test_randu_shape(shape: tuple) -> None:
+    """Test if randu function creates an array with the correct shape."""
+    dtype = dtypes.s16
+
+    result = wrapper.randu(shape, dtype)
+
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape  # noqa: E203
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (random.randint(1, 10), 1),
+        (random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+    ],
+)
+def test_random_uniform_shape(shape: tuple) -> None:
+    """Test if rand uniform function creates an array with the correct shape."""
+    dtype = dtypes.s16
+    engine = wrapper.create_random_engine(100, 10)
+
+    result = wrapper.random_uniform(shape, dtype, engine)
+
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape  # noqa: E203
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (random.randint(1, 10), 1),
+        (random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+    ],
+)
+def test_randn_shape(shape: tuple) -> None:
+    """Test if randn function creates an array with the correct shape."""
+    dtype = dtypes.f32
+
+    result = wrapper.randn(shape, dtype)
+
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape  # noqa: E203
+
+
+@pytest.mark.parametrize(
+    "shape",
+    [
+        (),
+        (random.randint(1, 10), 1),
+        (random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+        (random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
+    ],
+)
+def test_random_normal_shape(shape: tuple) -> None:
+    """Test if random normal function creates an array with the correct shape."""
+    dtype = dtypes.f32
+    engine = wrapper.create_random_engine(100, 10)
+
+    result = wrapper.random_normal(shape, dtype, engine)
+
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape  # noqa: E203
+
+
+@pytest.mark.parametrize(
+    "engine_index",
+    [100, 200, 300],
+)
+def test_create_random_engine(engine_index: int) -> None:
+    engine = wrapper.create_random_engine(engine_index, 10)
+
+    engine_type = wrapper.random_engine_get_type(engine)
+
+    assert engine_type == engine_index
+
+
+@pytest.mark.parametrize(
+    "invalid_index",
+    [random.randint(301, 600), random.randint(301, 600), random.randint(301, 600)],
+)
+def test_invalid_random_engine(invalid_index: int) -> None:
+    "Test if invalid engine types are properly handled"
+    with pytest.raises(RuntimeError):
+
+        invalid_engine = wrapper.create_random_engine(invalid_index, 10)
+
+        engine_type = wrapper.random_engine_get_type(invalid_engine)
+
+        assert engine_type == invalid_engine