增加环绕侦察场景适配

backend_service/venv/lib/python3.13/site-packages/numpy/linalg/tests/test_deprecations.py

@@ -1,8 +1,9 @@
 """Test deprecation and future warnings.
 
 """
+import pytest
+
 import numpy as np
-from numpy.testing import assert_warns
 
 
 def test_qr_mode_full_future_warning():
@@ -14,7 +15,7 @@ def test_qr_mode_full_future_warning():
 
     """
     a = np.eye(2)
-    assert_warns(DeprecationWarning, np.linalg.qr, a, mode='full')
-    assert_warns(DeprecationWarning, np.linalg.qr, a, mode='f')
-    assert_warns(DeprecationWarning, np.linalg.qr, a, mode='economic')
-    assert_warns(DeprecationWarning, np.linalg.qr, a, mode='e')
+    pytest.warns(DeprecationWarning, np.linalg.qr, a, mode='full')
+    pytest.warns(DeprecationWarning, np.linalg.qr, a, mode='f')
+    pytest.warns(DeprecationWarning, np.linalg.qr, a, mode='economic')
+    pytest.warns(DeprecationWarning, np.linalg.qr, a, mode='e')

backend_service/venv/lib/python3.13/site-packages/numpy/linalg/tests/test_linalg.py

@@ -8,6 +8,7 @@ import sys
 import textwrap
 import threading
 import traceback
+import warnings
 
 import pytest
 
@@ -42,7 +43,6 @@ from numpy.testing import (
     assert_equal,
     assert_raises,
     assert_raises_regex,
-    suppress_warnings,
 )
 
 try:
@@ -1331,8 +1331,9 @@ class _TestNormGeneral(_TestNormBase):
             self.check_dtype(at, an)
             assert_almost_equal(an, 0.0)
 
-            with suppress_warnings() as sup:
-                sup.filter(RuntimeWarning, "divide by zero encountered")
+            with warnings.catch_warnings():
+                warnings.filterwarnings(
+                    'ignore', "divide by zero encountered", RuntimeWarning)
                 an = norm(at, -1)
                 self.check_dtype(at, an)
                 assert_almost_equal(an, 0.0)
@@ -1494,8 +1495,9 @@ class _TestNorm2D(_TestNormBase):
             self.check_dtype(at, an)
             assert_almost_equal(an, 2.0)
 
-            with suppress_warnings() as sup:
-                sup.filter(RuntimeWarning, "divide by zero encountered")
+            with warnings.catch_warnings():
+                warnings.filterwarnings(
+                    'ignore', "divide by zero encountered", RuntimeWarning)
                 an = norm(at, -1)
                 self.check_dtype(at, an)
                 assert_almost_equal(an, 1.0)
@@ -2216,8 +2218,7 @@ class TestTensorinv:
         ((24, 8, 3), 1),
         ])
     def test_tensorinv_shape(self, shape, ind):
-        a = np.eye(24)
-        a.shape = shape
+        a = np.eye(24).reshape(shape)
         ainv = linalg.tensorinv(a=a, ind=ind)
         expected = a.shape[ind:] + a.shape[:ind]
         actual = ainv.shape
@@ -2227,15 +2228,13 @@ class TestTensorinv:
         0, -2,
         ])
     def test_tensorinv_ind_limit(self, ind):
-        a = np.eye(24)
-        a.shape = (4, 6, 8, 3)
+        a = np.eye(24).reshape((4, 6, 8, 3))
         with assert_raises(ValueError):
             linalg.tensorinv(a=a, ind=ind)
 
     def test_tensorinv_result(self):
         # mimic a docstring example
-        a = np.eye(24)
-        a.shape = (24, 8, 3)
+        a = np.eye(24).reshape((24, 8, 3))
         ainv = linalg.tensorinv(a, ind=1)
         b = np.ones(24)
         assert_allclose(np.tensordot(ainv, b, 1), np.linalg.tensorsolve(a, b))

backend_service/venv/lib/python3.13/site-packages/numpy/linalg/tests/test_regression.py

@@ -33,7 +33,7 @@ class TestRegression:
                      1.51971555e-15 + 0.j,
                      -1.51308713e-15 + 0.j])
         a = arange(13 * 13, dtype=float64)
-        a.shape = (13, 13)
+        a = a.reshape((13, 13))
         a = a % 17
         va, ve = linalg.eig(a)
         va.sort()
@@ -165,6 +165,7 @@ class TestRegression:
         res = np.linalg.matrix_rank(x, rtol=rtol)
         assert res.shape == (4,)
 
+    @pytest.mark.thread_unsafe(reason="test is already testing threads with openblas")
     def test_openblas_threading(self):
         # gh-27036
         # Test whether matrix multiplication involving a large matrix always