`raw=True` no longer applies to groupby().rolling() in 1.0.0
#### Code Sample, a copy-pastable example if possible

```python
df = pd.DataFrame({'id': [1, 1, 1], 'value': [1, 2, 3]})

def foo(x):
    print(type(x))
    return 0.0
```
When setting `raw=True`
```
>>> df.groupby("id").value.rolling(1).apply(foo, raw=True, engine='numba')
<class 'pandas.core.series.Series'>
<class 'pandas.core.series.Series'>
<class 'pandas.core.series.Series'>
id
1   0    0.0
    1    0.0
    2    0.0
Name: value, dtype: float64

>>> df.groupby("id").value.rolling(1).apply(foo, raw=True, engine='cython')
<class 'pandas.core.series.Series'>
<class 'pandas.core.series.Series'>
<class 'pandas.core.series.Series'>
id
1   0    0.0
    1    0.0
    2    0.0
Name: value, dtype: float64

>>> df.groupby("id").value.rolling(1).apply(foo, raw=True)
<class 'pandas.core.series.Series'>
<class 'pandas.core.series.Series'>
<class 'pandas.core.series.Series'>
id
1   0    0.0
    1    0.0
    2    0.0
Name: value, dtype: float64
```

#### Problem description

This changes the behavior of `raw=True`, it seems it no long allows user to pass numpy array to a rolling udf.

