From 58f80d8d38a679197f5d785bb3debe8b051d94cb Mon Sep 17 00:00:00 2001
From: brucekimrokcmu <kwangkyk@alumni.cmu.edu>
Date: Tue, 25 Jul 2023 14:06:29 -0700
Subject: [PATCH] added comma for reformatting

---
 tests/unit/test_list_int_bindings.py | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/tests/unit/test_list_int_bindings.py b/tests/unit/test_list_int_bindings.py
index f0324ae..3de7a3e 100644
--- a/tests/unit/test_list_int_bindings.py
+++ b/tests/unit/test_list_int_bindings.py
@@ -18,35 +18,35 @@ def test_max_pool2d(self):
             l = ops.max_pool2d(t, 3, 1)
             check_correct(
                 " %4 = torch.aten.max_pool2d %arg0, %1, %2, %3, %0, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l = ops.max_pool2d(t, (3, 3), 1)
             check_correct(
                 " %4 = torch.aten.max_pool2d %arg0, %1, %2, %3, %0, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l = ops.max_pool2d(t, 3, (2, 2))
             check_correct(
                 " %4 = torch.aten.max_pool2d %arg0, %1, %2, %3, %0, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l = ops.max_pool2d(t, 3, 1, 2, 3)
             check_correct(
                 " %4 = torch.aten.max_pool2d %arg0, %1, %2, %3, %0, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l = ops.max_pool2d(t, 3, 1, [2, 2], 3)
             check_correct(
                 " %4 = torch.aten.max_pool2d %arg0, %1, %2, %3, %0, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor",
-                l.owner
+                l.owner,
             )
 
     def test_max_pool2d_with_indices(self):
@@ -55,26 +55,26 @@ def test_max_pool2d_with_indices(self):
             l, s = ops.max_pool2d_with_indices(t, 3)
             check_correct(
                 "%result0, %result1 = torch.aten.max_pool2d_with_indices %arg0, %0, %1, %2, %1, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor, !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l, s = ops.max_pool2d_with_indices(t, 3, (1, 1), 2)
             check_correct(
                 "%result0, %result1 = torch.aten.max_pool2d_with_indices %arg0, %0, %1, %2, %1, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor, !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l, s = ops.max_pool2d_with_indices(t, 3, (1, 1), 2, [4, 4])
             check_correct(
                 "%result0, %result1 = torch.aten.max_pool2d_with_indices %arg0, %0, %1, %2, %1, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor, !torch.tensor",
-                l.owner
+                l.owner,
             )
 
             t = pi.rand(1, 3, 32, 32)
             l, s = ops.max_pool2d_with_indices(t, 3, 1, 2, 4)
             check_correct(
                 "%result0, %result1 = torch.aten.max_pool2d_with_indices %arg0, %0, %1, %2, %1, %false : !torch.tensor<[1,3,32,32],f64>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.tensor, !torch.tensor",
-                l.owner
+                l.owner,
             )