Resolve tests failures with elementwise functions towards numpy 2.0 (#2590)

The PR is follow of #2589 to address remaining issue observing on
Windows only.

There is data type mismatch in result returned for numpy.power,
numpy.floor_divide, numpy.fmod, and numpy.remainder for "numpy < 2.1.0".
They return int32, but expected int64.
Where dpnp behavior is aligned with "numpy >= 2.1.0".

Author: antonwolfy

CHANGELOG.md

@@ -64,6 +64,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Resolved the issue in `dpnp.random` functions to allow any value of `size` where each element is castable to `Py_ssize_t` type [#2578](https://github.com/IntelPython/dpnp/pull/2578)
 * Resolved `conda build --test` issue in python 3.9 environment [#2583](https://github.com/IntelPython/dpnp/pull/2583)
 * Fixed tests for the rounding functions to depend on minimum required numpy version [#2589](https://github.com/IntelPython/dpnp/pull/2589)
+* Fixed tests for the ufuncs to depend on minimum required numpy version [#2590](https://github.com/IntelPython/dpnp/pull/2590)
 
 ### Security
 

dpnp/tests/test_mathematical.py

@@ -1992,6 +1992,7 @@ def test_discont(self, dt):
         assert result.dtype == ia.dtype == a.dtype
 
 
+@testing.with_requires("numpy>=2.1.0")
 @pytest.mark.usefixtures("suppress_divide_invalid_numpy_warnings")
 @pytest.mark.parametrize("val_type", [bool, int, float])
 @pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))

dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py

@@ -367,6 +367,7 @@ def check_binary(self, xp):
         return y
 
 
+@testing.with_requires("numpy>=2.1.0")
 @testing.parameterize(
     *(
         testing.product(
@@ -409,6 +410,7 @@ def test_binary(self):
         self.check_binary()
 
 
+@testing.with_requires("numpy>=2.1.0")
 @testing.parameterize(
     *(
         testing.product(
@@ -487,7 +489,7 @@ def test_binary(self):
         self.check_binary()
 
 
-@testing.with_requires("numpy>=2.0")
+@testing.with_requires("numpy>=2.1.0")
 class TestArithmeticBinary3(ArithmeticBinaryBase):
 
     @pytest.mark.parametrize(