style: apply ruff-format

pjordanandrsn · pjordanandrsn · commit d5d8c92c319d · 2026-07-09T15:20:26.000Z
diff --git a/bitsandbytes/nn/experts.py b/bitsandbytes/nn/experts.py
@@ -257,7 +257,6 @@ def _project(self, packed, absmax, shape, expert_idx, x, compute_dtype):
         dequant_fn = functools.partial(self._dequantize_expert, packed, absmax, shape, expert_idx, compute_dtype)
         return _FrozenLinearRecomputeBackward.apply(x, dequant_fn)
 
-
     def forward(
         self,
         hidden_states: torch.Tensor,
diff --git a/tests/test_experts4bit.py b/tests/test_experts4bit.py
@@ -323,7 +323,8 @@ def __init__(self):
     )
     assert q.gate_up_proj.dtype == torch.uint8 and q.down_proj.dtype == torch.uint8
     quantized_bytes = (
-        q.gate_up_proj.numel() + q.down_proj.numel()  # uint8 packed
+        q.gate_up_proj.numel()
+        + q.down_proj.numel()  # uint8 packed
         + (q.gate_up_absmax.numel() + q.down_absmax.numel()) * 4  # fp32 absmax
     )
     assert quantized_bytes < fp16_bytes / 3  # ~4x on the weights, minus small absmax overhead

Original file line number	Diff line number	Diff line change
`@@ -323,7 +323,8 @@ def __init__(self):`
`323`	`323`	`)`
`324`	`324`	`assert q.gate_up_proj.dtype == torch.uint8 and q.down_proj.dtype == torch.uint8`
`325`	`325`	`quantized_bytes = (`
`326`		`- q.gate_up_proj.numel() + q.down_proj.numel() # uint8 packed`
	`326`	`+ q.gate_up_proj.numel()`
	`327`	`+ + q.down_proj.numel() # uint8 packed`
`327`	`328`	`+ (q.gate_up_absmax.numel() + q.down_absmax.numel()) * 4 # fp32 absmax`
`328`	`329`	`)`
`329`	`330`	`assert quantized_bytes < fp16_bytes / 3 # ~4x on the weights, minus small absmax overhead`