增加环绕侦察场景适配

backend_service/venv/lib/python3.13/site-packages/numpy/matrixlib/tests/test_defmatrix.py

@@ -288,10 +288,10 @@ class TestMatrixReturn:
             'argmin', 'choose', 'dump', 'dumps', 'fill', 'getfield',
             'getA', 'getA1', 'item', 'nonzero', 'put', 'putmask', 'resize',
             'searchsorted', 'setflags', 'setfield', 'sort',
-            'partition', 'argpartition', 'newbyteorder', 'to_device',
+            'partition', 'argpartition', 'to_device',
             'take', 'tofile', 'tolist', 'tobytes', 'all', 'any',
             'sum', 'argmax', 'argmin', 'min', 'max', 'mean', 'var', 'ptp',
-            'prod', 'std', 'ctypes', 'itemset', 'bitwise_count',
+            'prod', 'std', 'ctypes', 'bitwise_count',
             ]
         for attrib in dir(a):
             if attrib.startswith('_') or attrib in excluded_methods:

backend_service/venv/lib/python3.13/site-packages/numpy/matrixlib/tests/test_masked_matrix.py

@@ -116,7 +116,7 @@ class TestMaskedMatrix:
         # Test setting
         test = masked_array(np.matrix([[1, 2, 3]]), mask=[0, 0, 1])
         testflat = test.flat
-        testflat[:] = testflat[[2, 1, 0]]
+        testflat[:] = testflat[np.array([2, 1, 0])]
         assert_equal(test, control)
         testflat[0] = 9
         # test that matrices keep the correct shape (#4615)
@@ -182,26 +182,26 @@ class TestMaskedMatrix:
 class TestSubclassing:
     # Test suite for masked subclasses of ndarray.
 
-    def setup_method(self):
+    def _create_data(self):
         x = np.arange(5, dtype='float')
         mx = MMatrix(x, mask=[0, 1, 0, 0, 0])
-        self.data = (x, mx)
+        return x, mx
 
     def test_maskedarray_subclassing(self):
         # Tests subclassing MaskedArray
-        (x, mx) = self.data
+        mx = self._create_data()[1]
         assert_(isinstance(mx._data, np.matrix))
 
     def test_masked_unary_operations(self):
         # Tests masked_unary_operation
-        (x, mx) = self.data
+        x, mx = self._create_data()
         with np.errstate(divide='ignore'):
             assert_(isinstance(log(mx), MMatrix))
             assert_equal(log(x), np.log(x))
 
     def test_masked_binary_operations(self):
         # Tests masked_binary_operation
-        (x, mx) = self.data
+        x, mx = self._create_data()
         # Result should be a MMatrix
         assert_(isinstance(add(mx, mx), MMatrix))
         assert_(isinstance(add(mx, x), MMatrix))
@@ -215,7 +215,7 @@ class TestSubclassing:
 
     def test_masked_binary_operations2(self):
         # Tests domained_masked_binary_operation
-        (x, mx) = self.data
+        x, mx = self._create_data()
         xmx = masked_array(mx.data.__array__(), mask=mx.mask)
         assert_(isinstance(divide(mx, mx), MMatrix))
         assert_(isinstance(divide(mx, x), MMatrix))

backend_service/venv/lib/python3.13/site-packages/numpy/matrixlib/tests/test_matrix_linalg.py

@@ -1,4 +1,6 @@
 """ Test functions for linalg module using the matrix class."""
+import pytest
+
 import numpy as np
 from numpy.linalg.tests.test_linalg import (
     CondCases,
@@ -12,13 +14,13 @@ from numpy.linalg.tests.test_linalg import (
     PinvCases,
     SolveCases,
     SVDCases,
+    TestQR as _TestQR,
     _TestNorm2D,
     _TestNormDoubleBase,
     _TestNormInt64Base,
     _TestNormSingleBase,
     apply_tag,
 )
-from numpy.linalg.tests.test_linalg import TestQR as _TestQR
 
 CASES = []
 
@@ -81,6 +83,9 @@ class TestDetMatrix(DetCases, MatrixTestCase):
     pass
 
 
+@pytest.mark.thread_unsafe(
+    reason="residuals not calculated properly for square tests (gh-29851)"
+)
 class TestLstsqMatrix(LstsqCases, MatrixTestCase):
     pass