__________________________ test_normal_mode[float32] ___________________________
dtype = 'float32'

    @pytest.mark.parametrize('dtype', ['float32', 'float64', 'uint8', 'int'])
    def test_normal_mode(dtype):
        """Verify the computed BRIEF descriptors with expected for normal mode."""
        img = data.coins().astype(dtype)
    
        keypoints = corner_peaks(
            corner_harris(img), min_distance=5, threshold_abs=0, threshold_rel=0.1
        )
    
        extractor = BRIEF(descriptor_size=8, sigma=2)
    
>       extractor.extract(img, keypoints[:8])

skimage/feature/tests/test_brief.py:31: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <skimage.feature.brief.BRIEF object at 0xe11eb710>
image = array(…, dtype=float32)
keypoints = array([…])

    def extract(self, image, keypoints):
[…]
        # Removing keypoints that are within (patch_size / 2) distance from the
        # image border
        self.mask = _mask_border_keypoints(image.shape, keypoints, patch_size // 2)
    
>       keypoints = np.array(
            keypoints[self.mask, :], dtype=np.int64, order='C', copy=False
        )
E       ValueError: Unable to avoid copy while creating an array as requested.
E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.

skimage/feature/brief.py:201: ValueError