diff --git a/thunder/executors/torch_compile.py b/thunder/executors/torch_compile.py
index bfae5aa08..eecb0b725 100644
--- a/thunder/executors/torch_compile.py
+++ b/thunder/executors/torch_compile.py
@@ -72,7 +72,7 @@ def make_compiled(
     region_trace = TraceCtx(None)
     region_trace.args = sorted_unique_inputs
     region_trace.kwargs = {}
-    region_trace.names = set([a.name for a in region_trace.args])
+    region_trace.names = {a.name for a in region_trace.args}
     with tracectx(region_trace):
         for a in sorted_unique_inputs:
             prims.unpack_trivial(a, name=a.name)
@@ -86,7 +86,12 @@ def make_compiled(
             if o is not None:
                 region_trace.add_name(o.name)
         for sbsym in bsym.subsymbols:
-            list(map(lambda o: region_trace.add_name(o.name), filter(lambda o: o is not None and o.name not in region_trace.names, sbsym.flat_outs)))
+            list(
+                map(
+                    lambda o: region_trace.add_name(o.name),
+                    filter(lambda o: o is not None and o.name not in region_trace.names, sbsym.flat_outs),
+                )
+            )
 
     # maybe make this the default if no sig info is present?
     region_trace._siginfo = SigInfo("to_be_compiled")
diff --git a/thunder/tests/test_torch_compile_executor.py b/thunder/tests/test_torch_compile_executor.py
index 545c3c05d..684c5dedb 100644
--- a/thunder/tests/test_torch_compile_executor.py
+++ b/thunder/tests/test_torch_compile_executor.py
@@ -91,15 +91,17 @@ def fn(a):
     jfn = thunder.jit(fn, executors=(thunder.executors.torch_compile.torch_compile_ex,))
     assert_close(jfn(a), fn(a))
 
+
 @pytest.mark.skipif(not is_inductor_supported(), reason="inductor unsupported")
 @requiresCUDA
 @pytest.mark.skipif(not device_supports_bf16(torch.device("cuda")), reason="bf16 is not supported")
 def test_litgpt_fabric_for_callable():
-    from typing import Any, Callable, Optional, Tuple, Union, List, Dict
+    from typing import Any, Optional, Tuple, Union, List, Dict
+    from collections.abc import Callable
     from litgpt.model import Config, GPT
     import torch.nn as nn
 
-    def jit(fn: Callable, executors: List[str]) -> Any:
+    def jit(fn: Callable, executors: list[str]) -> Any:
         assert executors is not None
         return thunder.jit(fn, executors=executors)