minor: change numpy import to suppress depracation warning

pylops/basicoperators/restriction.py

@@ -1,12 +1,11 @@
 __all__ = ["Restriction"]
 
 import logging
-
 from typing import Sequence, Union
 
 import numpy as np
 import numpy.ma as np_ma
-from numpy.core.multiarray import normalize_axis_index
+from numpy.lib.array_utils import normalize_axis_index
 
 from pylops import LinearOperator
 from pylops.utils._internal import _value_or_sized_to_tuple
@@ -128,8 +127,13 @@ def __init__(
                 )
                 forceflat = None
 
-        super().__init__(dtype=np.dtype(dtype), dims=dims, dimsd=dimsd,
-                         forceflat=forceflat, name=name)
+        super().__init__(
+            dtype=np.dtype(dtype),
+            dims=dims,
+            dimsd=dimsd,
+            forceflat=forceflat,
+            name=name,
+        )
 
         iavareshape = np.ones(len(self.dims), dtype=int)
         iavareshape[axis] = len(iava)

pytests/test_torchoperator.py

@@ -21,7 +21,7 @@ def test_TorchOperator(par):
     """
     # temporarily, skip tests on mac as torch seems not to recognized
     # numpy when v2 is installed
-    if platform.system is not "Darwin":
+    if platform.system() != "Darwin":
         Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])))
         Top = TorchOperator(Dop, batch=False)
 
@@ -47,7 +47,7 @@ def test_TorchOperator_batch(par):
     """Apply forward for input with multiple samples (= batch) and flattened arrays"""
     # temporarily, skip tests on mac as torch seems not to recognized
     # numpy when v2 is installed
-    if platform.system is not "Darwin":
+    if platform.system() != "Darwin":
         Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])))
         Top = TorchOperator(Dop, batch=True)
 
@@ -66,7 +66,7 @@ def test_TorchOperator_batch_nd(par):
     """Apply forward for input with multiple samples (= batch) and nd-arrays"""
     # temporarily, skip tests on mac as torch seems not to recognized
     # numpy when v2 is installed
-    if platform.system is not "Darwin":
+    if platform.system() != "Darwin":
         Dop = MatrixMult(
             np.random.normal(0.0, 1.0, (par["ny"], par["nx"])), otherdims=(2,)
         )