UFMT formatting on test/mobile

[FFFrog]

Partially addresses #123062

Ran lintrunner on:
test/mobile

Detail:

$ lintrunner -a --take UFMT --all-files
ok No lint issues.
Successfully applied all patches.

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✅ You can merge normally! (3 Unrelated Failures)

As of commit bfbdb0c with merge base 07cecf4 ():

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

• docker-builds / docker-build (linux.12xlarge, pytorch-linux-focal-rocm-n-1-py3) (gh)
  Process completed with exit code 1.
• trunk / linux-focal-cuda12.1-py3.10-gcc9 / test (nogpu_AVX512, 1, 1, linux.2xlarge) (gh)
  profiler/test_profiler.py::TestProfiler::test_source_multithreaded_open_in_scope_work_in_main_thread_True
• trunk / linux-focal-cuda12.1-py3.10-gcc9 / test (nogpu_NO_AVX2, 1, 1, linux.2xlarge) (gh)
  profiler/test_profiler.py::TestProfiler::test_source_multithreaded_open_in_scope_work_in_main_thread_True

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[ezyang]

lintcheck.sh reveals this diff which is ok

diff --git a/test/mobile/test_lite_script_type.py b/test/mobile/test_lite_script_type.py
index 156ffb6adcb..a0a13529be6 100644
--- a/test/mobile/test_lite_script_type.py
+++ b/test/mobile/test_lite_script_type.py
@@ -14,9 +14,9 @@ from torch.testing._internal.common_utils import run_tests, TestCase
 
 class TestLiteScriptModule(TestCase):
     def test_typing_namedtuple(self):
-        myNamedTuple = NamedTuple(  # noqa: UP014
+        myNamedTuple = NamedTuple(
             "myNamedTuple", [("a", List[torch.Tensor])]
-        )
+        )  # noqa: UP014
 
         class MyTestModule(torch.nn.Module):
             def forward(self, a: torch.Tensor):

[ezyang]

@pytorchbot merge

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