unit tests for iotafunction (#19)

* unit tests for iotafunction

* Fixed import formatting and automatic checks

---------

Co-authored-by: Chaluvadi <saketh.chaluvadi@intel.com>

tests/test_iota.py

@@ -0,0 +1,125 @@
+import random
+
+import numpy as np
+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_iota_shape(shape: tuple) -> None:
+    """Test if identity creates an array with the correct shape"""
+    dtype = dtypes.s16
+    t_shape = (1, 1)
+
+    result = wrapper.iota(shape, t_shape, dtype)
+
+    assert wrapper.get_dims(result)[0 : len(shape)] == shape  # noqa: E203
+
+
+def test_iota_invalid_shape() -> None:
+    """Test if iota handles a shape with greater than 4 dimensions"""
+    with pytest.raises(TypeError) as excinfo:
+        invalid_shape = (
+            random.randint(1, 10),
+            random.randint(1, 10),
+            random.randint(1, 10),
+            random.randint(1, 10),
+            random.randint(1, 10),
+        )
+        dtype = dtypes.s16
+        t_shape = ()
+
+        wrapper.iota(invalid_shape, t_shape, dtype)
+
+    assert f"CShape.__init__() takes from 1 to 5 positional arguments but {len(invalid_shape) + 1} were given" in str(
+        excinfo.value
+    )
+
+
+@pytest.mark.parametrize(
+    "t_shape",
+    [
+        (1,),
+        (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_iota_tshape(t_shape: tuple) -> None:
+    """Test if iota properly uses t_shape to change the size of the array and result in correct dimensions"""
+    shape = np.array([2, 2])
+    dtype = dtypes.s64
+
+    if len(shape.shape) < len(t_shape):
+        shape = np.append(shape, np.ones(len(t_shape) - len(shape), dtype=int))
+
+    result_shape = shape * t_shape
+
+    result = wrapper.iota(tuple(shape), t_shape, dtype)
+
+    result_dims = tuple(int(value) for value in wrapper.get_dims(result))
+
+    assert (result_dims[0 : len(result_shape)] == result_shape).all()  # noqa: E203
+
+
+@pytest.mark.parametrize(
+    "t_shape",
+    [
+        (0,),
+        (-1, -1),
+    ],
+)
+def test_iota_tshape_zero(t_shape: tuple) -> None:
+    """Test it iota properly handles negative or zero t_shapes"""
+    with pytest.raises(RuntimeError):
+        shape = (2, 2)
+
+        dtype = dtypes.s16
+
+        wrapper.iota(shape, t_shape, dtype)
+
+
+def test_iota_tshape_invalid() -> None:
+    """Test it iota properly handles a tshape with greater than 4 dimensions"""
+    with pytest.raises(TypeError):
+        shape = (2, 2)
+        invalid_tshape = (
+            random.randint(1, 10),
+            random.randint(1, 10),
+            random.randint(1, 10),
+            random.randint(1, 10),
+            random.randint(1, 10),
+        )
+        dtype = dtypes.s16
+
+        wrapper.iota(shape, invalid_tshape, dtype)
+
+
+@pytest.mark.parametrize(
+    "dtype_index",
+    [i for i in range(13)],
+)
+def test_iota_dtype(dtype_index: int) -> None:
+    """Test if iota creates an array with the correct dtype"""
+    if (dtype_index in [1, 4]) or (dtype_index in [2, 3] and not wrapper.get_dbl_support()):
+        pytest.skip()
+
+    shape = (5, 5)
+    t_shape = (2, 2)
+    dtype = dtypes.c_api_value_to_dtype(dtype_index)
+
+    result = wrapper.iota(shape, t_shape, dtype)
+
+    assert dtypes.c_api_value_to_dtype(wrapper.get_type(result)) == dtype