From babd6964abf873eec6d1d5a74d920a19f42b6c49 Mon Sep 17 00:00:00 2001
From: Srijan Upadhyay <srjnupadhyay@gmail.com>
Date: Tue, 20 Jan 2026 16:15:38 +0530
Subject: [PATCH 1/2] CUDA: add numeric conversion tests\n\nAdds kernel-based
 tests for device-side numeric conversions: intfloat, float/intcomplex,
 boolnumeric. Skips under cudasim. NumPy is used as the reference. Scope is
 intentionally limited to safe, well-defined CUDA conversions.

---
 .../numba/cuda/tests/test_conversion.py       | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 numba_cuda/numba/cuda/tests/test_conversion.py

diff --git a/numba_cuda/numba/cuda/tests/test_conversion.py b/numba_cuda/numba/cuda/tests/test_conversion.py
new file mode 100644
index 000000000..add069864
--- /dev/null
+++ b/numba_cuda/numba/cuda/tests/test_conversion.py
@@ -0,0 +1,75 @@
+import numpy as np
+
+from numba import cuda
+from numba.cuda.testing import CUDATestCase, skip_on_cudasim
+
+
+@cuda.jit
+def convert_kernel(inp, out):
+    i = cuda.grid(1)
+    if i < inp.size:
+        out[i] = inp[i]
+
+
+@skip_on_cudasim("Conversion semantics differ under cudasim")
+class TestCudaConversion(CUDATestCase):
+
+    def _launch_1d(self, kernel, args, size):
+        threadsperblock = 128
+        blockspergrid = (size + threadsperblock - 1) // threadsperblock
+        kernel[blockspergrid, threadsperblock](*args)
+        cuda.synchronize()
+
+
+    def _run_conversion(self, src, dst_dtype):
+        out = np.zeros_like(src, dtype=dst_dtype)
+
+        d_src = cuda.to_device(src)
+        d_out = cuda.to_device(out)
+
+        self._launch_1d(convert_kernel, (d_src, d_out), src.size)
+
+        result = d_out.copy_to_host()
+        expected = src.astype(dst_dtype)
+
+        np.testing.assert_array_equal(result, expected)
+
+
+    def test_int_to_float(self):
+        src = np.array([1, -2, 3, 4], dtype=np.int32)
+        self._run_conversion(src, np.float32)
+
+
+    def test_float_to_int_truncation(self):
+        src = np.array([1.7, -2.2, 3.9], dtype=np.float32)
+        self._run_conversion(src, np.int32)
+
+
+    def test_int_to_complex(self):
+        src = np.array([1, -2, 3], dtype=np.int32)
+        self._run_conversion(src, np.complex64)
+
+
+    def test_float_to_complex(self):
+        src = np.array([1.5, -2.25, 3.75], dtype=np.float32)
+        self._run_conversion(src, np.complex64)
+
+
+    def test_bool_to_int(self):
+        src = np.array([True, False, True], dtype=np.bool_)
+        self._run_conversion(src, np.int32)
+
+
+    def test_int_to_bool(self):
+        src = np.array([0, 1, -3, 4], dtype=np.int32)
+        self._run_conversion(src, np.bool_)
+
+
+    def test_bool_to_float(self):
+        src = np.array([True, False, True], dtype=np.bool_)
+        self._run_conversion(src, np.float32)
+
+
+    def test_float_to_bool(self):
+        src = np.array([0.0, 1.2, -0.5], dtype=np.float32)
+        self._run_conversion(src, np.bool_)

From afda17fdd294925984ca0be16ac41ffd742bed7f Mon Sep 17 00:00:00 2001
From: Srijan Upadhyay <104912634+CodersAcademy006@users.noreply.github.com>
Date: Wed, 21 Jan 2026 11:10:15 +0530
Subject: [PATCH 2/2] Update numba_cuda/numba/cuda/tests/test_conversion.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
---
 numba_cuda/numba/cuda/tests/test_conversion.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/numba_cuda/numba/cuda/tests/test_conversion.py b/numba_cuda/numba/cuda/tests/test_conversion.py
index add069864..6dbadf782 100644
--- a/numba_cuda/numba/cuda/tests/test_conversion.py
+++ b/numba_cuda/numba/cuda/tests/test_conversion.py
@@ -1,3 +1,6 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: BSD-2-Clause
+
 import numpy as np
 
 from numba import cuda