[CI]Fixed the spell check function in typos.toml (#6753)

### What this PR does / why we need it?
The incorrect regular expression syntax `.*[UE4M3|ue4m3].*` actually
ignores all words containing any of the following characters: `u, e, 4,
m, 3, |`

```yaml
extend-ignore-identifiers-re = [".*Unc.*", ".*_thw",
    ".*UE8M0.*", ".*[UE4M3|ue4m3].*", ".*eles.*", ".*fo.*", ".*ba.*",
    ".*ot.*", ".*[Tt]h[rR].*"]
```
===fix===>
```yaml
extend-ignore-identifiers-re = [".*Unc.*", ".*_thw",
    ".*UE8M0.*", ".*(UE4M3|ue4m3]).*", ".*eles.*", ".*fo.*", ".*ba.*",
    ".*ot.*", ".*[Tt]h[rR].*"]
```

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
9562912cea

Signed-off-by: MrZ20 <2609716663@qq.com>
This commit is contained in:
SILONG ZENG
2026-02-14 11:57:26 +08:00
committed by GitHub
parent 64aea60f2e
commit e2237819a9
31 changed files with 79 additions and 72 deletions

View File

@@ -68,7 +68,7 @@ class D2DExpertWeightLoader:
self.updated_log2phy_map = log2phy_map
def asyn_expert_weight_transfer(self, reqs):
# Only when send/recv tasks are parsed into self.comm_op_list, d2d send/recv tasks can be luanched
# Only when send/recv tasks are parsed into self.comm_op_list, d2d send/recv tasks can be launched
if self.state != ExpertWeightUpdateState.READY:
return
@@ -80,7 +80,7 @@ class D2DExpertWeightLoader:
self.state = ExpertWeightUpdateState.TRANSFERRING
def update_expert_map_and_weight(self, reqs):
# Only after send/recv tasks have been luanched, expert_map and weight can be updated
# Only after send/recv tasks have been launched, expert_map and weight can be updated
if self.state != ExpertWeightUpdateState.TRANSFERRING:
return

View File

@@ -130,8 +130,8 @@ def jsq_placement(X, pieces, M, stage_weights):
score = 0.0
for s in range(n_stage):
tmp_sj = loads[s, j] + w[s]
numer_sj = tmp_sj if tmp_sj > stage_max[s] else stage_max[s]
score += stage_weights[s] * (numer_sj / denom[s])
number_sj = tmp_sj if tmp_sj > stage_max[s] else stage_max[s]
score += stage_weights[s] * (number_sj / denom[s])
if score < best_val:
best_val = score
best_j = j