Fixes for CPython int/float tests (pytorch#155978)

Pull Request resolved: pytorch#155978
Approved by: https://github.com/zou3519

Author: guilhermeleobas

test/dynamo/cpython/3_13/test_int.diff

@@ -1,5 +1,5 @@
 diff --git a/test/dynamo/cpython/3_13/test_int.py b/test/dynamo/cpython/3_13/test_int.py
-index 48825f46911..ac7aeacbc01 100644
+index 48825f46911..4ab200372ea 100644
 --- a/test/dynamo/cpython/3_13/test_int.py
 +++ b/test/dynamo/cpython/3_13/test_int.py
 @@ -1,13 +1,137 @@
@@ -153,7 +153,15 @@ index 48825f46911..ac7aeacbc01 100644
 
      def test_basic(self):
          self.assertEqual(int(314), 314)
-@@ -607,7 +731,7 @@ class IntTestCases(unittest.TestCase):
+@@ -566,6 +690,7 @@ class IntTestCases(unittest.TestCase):
+         self.assertEqual(n, 1)
+         self.assertIs(type(n), IntSubclass)
+ 
++    @skipIfTorchDynamo("flaky under dynamo")
+     def test_error_message(self):
+         def check(s, base=None):
+             with self.assertRaises(ValueError,
+@@ -607,7 +732,7 @@ class IntTestCases(unittest.TestCase):
          self.assertEqual(int('1_2_3_4_5_6_7', 32), 1144132807)
 
 
@@ -162,7 +170,7 @@ index 48825f46911..ac7aeacbc01 100644
 
      int_class = int  # Override this in subclasses to reuse the suite.
 
-@@ -818,7 +942,7 @@ class IntSubclassStrDigitLimitsTests(IntStrDigitLimitsTests):
+@@ -818,7 +943,7 @@ class IntSubclassStrDigitLimitsTests(IntStrDigitLimitsTests):
      int_class = IntSubclass
 
 
@@ -171,7 +179,7 @@ index 48825f46911..ac7aeacbc01 100644
      # Tests of the functions in _pylong.py.  Those get used when the
      # number of digits in the input values are large enough.
 
-@@ -922,4 +1046,4 @@ class PyLongModuleTests(unittest.TestCase):
+@@ -922,4 +1047,4 @@ class PyLongModuleTests(unittest.TestCase):
              bits <<= 1
 
  if __name__ == "__main__":

test/dynamo/cpython/3_13/test_int.py

@@ -9,7 +9,7 @@
 import torch._dynamo.test_case
 import unittest
 from torch._dynamo.test_case import CPythonTestCase
-from torch.testing._internal.common_utils import run_tests
+from torch.testing._internal.common_utils import run_tests, skipIfTorchDynamo
 
 __TestCase = CPythonTestCase
 
@@ -690,6 +690,7 @@ def __trunc__(self):
         self.assertEqual(n, 1)
         self.assertIs(type(n), IntSubclass)
 
+    @skipIfTorchDynamo("flaky under dynamo")
     def test_error_message(self):
         def check(s, base=None):
             with self.assertRaises(ValueError,