[CI][RFC] Replace black-jupyter with ruff-format (#37210)

Co-authored-by: Alison Shao <a.shao@wustl.edu>

test/manual/quant/test_block_fp8.py

@@ -46,9 +46,9 @@ def native_per_token_group_quant_fp8(
     quantized tensor along with the scaling factor used for quantization.
     Note that only `torch.float8_e4m3fn` is supported for now.
     """
-    assert (
-        x.shape[-1] % group_size == 0
-    ), "the last dimension of `x` cannot be divisible by `group_size`"
+    assert x.shape[-1] % group_size == 0, (
+        "the last dimension of `x` cannot be divisible by `group_size`"
+    )
     assert x.is_contiguous(), "`x` is not contiguous"
 
     finfo = torch.finfo(dtype)
@@ -343,7 +343,6 @@ def native_w8a8_block_fp8_matmul(A, B, As, Bs, block_size, output_dtype=torch.fl
 
 
 class TestW8A8BlockFP8Matmul(CustomTestCase):
-
     if not _is_cuda:
         OUT_DTYPES = [torch.float32, torch.half, torch.bfloat16]
         M = [1, 7, 83, 512, 2048]

test/manual/quant/test_block_fp8_deep_gemm_blackwell.py

@@ -171,7 +171,6 @@ def block_quant_dequant(
 
 
 class TestDeepGemmBlackwell(CustomTestCase):
-
     if not _is_cuda:
         OUT_DTYPES = [torch.float32, torch.half, torch.bfloat16]
         M = [1, 7, 83, 512, 2048]

test/manual/quant/test_deepseek_v32_fp4_4gpu.py

@@ -67,7 +67,7 @@ class TestDeepseekV32FP4DP(CustomTestCase):
 
         if is_in_ci():
             write_github_step_summary(
-                f"### test_gsm8k (deepseek-v3-fp4)\n" f'{metrics["score"]=:.3f}\n'
+                f'### test_gsm8k (deepseek-v3-fp4)\n{metrics["score"]=:.3f}\n'
             )
 
         self.assertGreater(metrics["score"], 0.93)
@@ -135,7 +135,7 @@ class TestDeepseekV32FP4TP(CustomTestCase):
 
         if is_in_ci():
             write_github_step_summary(
-                f"### test_gsm8k (deepseek-v3-fp4)\n" f'{metrics["score"]=:.3f}\n'
+                f'### test_gsm8k (deepseek-v3-fp4)\n{metrics["score"]=:.3f}\n'
             )
 
         self.assertGreater(metrics["score"], 0.93)

test/manual/quant/test_deepseek_v3_fp4_4gpu_trtllm.py

@@ -70,7 +70,7 @@ class TestDeepseekV3FP4(CustomTestCase):
 
         if is_in_ci():
             write_github_step_summary(
-                f"### test_gsm8k (deepseek-v3-fp4)\n" f'{metrics["score"]=:.3f}\n'
+                f'### test_gsm8k (deepseek-v3-fp4)\n{metrics["score"]=:.3f}\n'
             )
 
         self.assertGreater(metrics["score"], 0.93)
@@ -83,7 +83,7 @@ class TestDeepseekV3FP4(CustomTestCase):
 
         if is_in_ci():
             write_github_step_summary(
-                f"### test_bs_1_speed (deepseek-v3-fp4)\n" f"{speed=:.2f} token/s\n"
+                f"### test_bs_1_speed (deepseek-v3-fp4)\n{speed=:.2f} token/s\n"
             )
 
         self.assertGreater(speed, 120)

test/manual/quant/test_eval_fp8_accuracy.py

@@ -46,7 +46,6 @@ class TestEvalFP8Accuracy(CustomTestCase):
 
 
 class TestEvalFP8DynamicQuantAccuracy(CustomTestCase):
-
     def _run_test(self, model, other_args, expected_score):
         base_url = DEFAULT_URL_FOR_TEST
         other_args = other_args or []