update the test suite for dpnp.fft module

.pre-commit-config.yaml

@@ -99,6 +99,7 @@ repos:
             "--disable=c-extension-no-member",
             "--disable=import-error",
             "--disable=redefined-builtin",
-            "--disable=unused-wildcard-import"
+            "--disable=unused-wildcard-import",
+            "--disable=too-many-positional-arguments"
             ]
         files: '^dpnp/(dpnp_iface.*|fft|linalg)'

CHANGELOG.md

@@ -8,7 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
-### Change
+### Changed
 
 ### Fixed
 
@@ -50,7 +50,7 @@ In addition, this release completes implementation of `dpnp.fft` module and adds
 * Added implementation of `dpnp.resize` and `dpnp.rot90` functions [#2030](https://github.com/IntelPython/dpnp/pull/2030)
 * Added implementation of `dpnp.require` function [#2036](https://github.com/IntelPython/dpnp/pull/2036)
 
-### Change
+### Changed
 
 * Extended pre-commit pylint check to `dpnp.fft` module [#1860](https://github.com/IntelPython/dpnp/pull/1860)
 * Reworked `vm` vector math backend to reuse `dpctl.tensor` functions around unary and binary functions [#1868](https://github.com/IntelPython/dpnp/pull/1868)
@@ -114,6 +114,7 @@ In addition, this release completes implementation of `dpnp.fft` module and adds
 * Updated `dpnp.fft` backend to depend on `INTEL_MKL_VERSION` flag to ensures that the appropriate code segment is executed based on the version of OneMKL [#2035](https://github.com/IntelPython/dpnp/pull/2035)
 * Use `dpctl::tensor::alloc_utils::sycl_free_noexcept` instead of `sycl::free` in `host_task` tasks associated with life-time management of temporary USM allocations [#2058](https://github.com/IntelPython/dpnp/pull/2058)
 * Improved implementation of `dpnp.kron` to avoid unnecessary copy for non-contiguous arrays [#2059](https://github.com/IntelPython/dpnp/pull/2059)
+* Updated the test suit for `dpnp.fft` module [#2071](https://github.com/IntelPython/dpnp/pull/2071)
 
 ### Fixed
 

tests/test_fft.py

@@ -564,10 +564,13 @@ def test_fftn_out(self, axes, s):
         assert_dtype_allclose(iresult, iexpected, check_only_type_kind=True)
 
     def test_negative_s(self):
-        # stock NumPy 2.0, if s is -1, the whole input is used (no padding/trimming).
-        a_np = numpy.empty((3, 4, 5), dtype=numpy.complex64)
+        x1 = numpy.random.uniform(-10, 10, 60)
+        x2 = numpy.random.uniform(-10, 10, 60)
+        a_np = numpy.array(x1 + 1j * x2, dtype=numpy.complex64).reshape(3, 4, 5)
         a = dpnp.array(a_np)
 
+        # For dpnp and stock NumPy 2.0, if s is -1, the whole input is used
+        # (no padding or trimming).
         result = dpnp.fft.fftn(a, s=(-1, -1), axes=(0, 2))
         expected = numpy.fft.fftn(a_np, s=(3, 5), axes=(0, 2))
         assert_dtype_allclose(result, expected, check_only_type_kind=True)