节点 n48

SEARCH
```python
LAMBDA = 0.85
```
REPLACE
```python
LAMBDA = 0.90
```

SEARCH
```python
ENTROPY_SHRINK = 0.4
ENTROPY_FLOOR = 0.6
STEP_CAP_STD = 2.5
```
REPLACE
```python
ENTROPY_SHRINK = 0.35
ENTROPY_FLOOR = 0.65
STEP_CAP_STD = 2.8
```

SEARCH
```python
TYPE_BLEND = 0.35
```
REPLACE
```python
DIRECTION_BLEND = 0.45
```

SEARCH
```python
    if TYPE_BLEND > 0 and "celltype" in last.obs.columns:
        labels = last.obs["celltype"].values
        unique_types = np.unique(labels)
        type_mean_disp = np.zeros_like(disp)
        for t in unique_types:
            m = labels == t
            type_mean_disp[m] = disp[m].mean(axis=0)

（只摘前 40 行）