MNT: np.array(a, copy=False) raises an error in numpy 2 if the array cannot be copied

fsl/data/bitmap.py

@@ -179,7 +179,7 @@ class Bitmap(object):
             for ci, ch in enumerate(dtype.names):
                 data[ch] = self.data[..., ci]
 
-        data = np.array(data, order='F', copy=False)
+        data = np.asarray(data, order='F')
 
         return fslimage.Image(data,
                               name=self.name,

fsl/transform/affine.py

@@ -62,7 +62,7 @@ def veclength(vec):
 
     Multiple vectors may be passed in, with a shape of ``(n, 3)``.
     """
-    vec = np.array(vec, copy=False).reshape(-1, 3)
+    vec = np.asarray(vec).reshape(-1, 3)
     return np.sqrt(np.einsum('ij,ij->i', vec, vec))
 
 
@@ -71,7 +71,7 @@ def normalise(vec):
 
     Multiple vectors may be passed in, with a shape of ``(n, 3)``.
     """
-    vec = np.array(vec, copy=False).reshape(-1, 3)
+    vec = np.asarray(vec).reshape(-1, 3)
     n   = (vec.T / veclength(vec)).T
 
     if n.size == 3:

fsl/utils/image/resample.py

@@ -190,7 +190,7 @@ def resample(image,
     if origin not in ('centre', 'corner'):
         raise ValueError('Invalid value for origin: {}'.format(origin))
 
-    data = np.array(image[sliceobj], dtype=dtype, copy=False)
+    data = np.asarray(image[sliceobj], dtype=dtype)
 
     if len(data.shape) != len(newShape):
         raise ValueError('Data dimensions do not match new shape: '

fsl/utils/memoize.py

@@ -242,8 +242,8 @@ def skipUnchanged(func):
             isarray    = oldIsArray or newIsArray
 
             if isarray:
-                a = np.array(oldVal, copy=False)
-                b = np.array(value,  copy=False)
+                a = np.asarray(oldVal)
+                b = np.asarray(value)
 
                 nochange = (a.shape == b.shape) and np.allclose(a, b)
             else: