DataFrame.nlargest/nsmallest fail on sliced frame about cudf HOT 1 CLOSED

In [1]: import pandas as pd, pygdf as gd

In [2]: df = pd.DataFrame({'x': range(100), 'y': list(map(float, range(100)))})

In [3]: gdf = gd.DataFrame.from_pandas(df)

In [4]: p = gdf[10:20]

In [5]: p
Out[5]:
      x    y
10   10 10.0
11   11 11.0
12   12 12.0
13   13 13.0
14   14 14.0
15   15 15.0
16   16 16.0
17   17 17.0
18   18 18.0
19   19 19.0

In [6]: p.sort_values('x')
Out[6]:
      x    y
10   10 10.0
11   11 11.0
12   12 12.0
13   13 13.0
14   14 14.0
15   15 15.0
16   16 16.0
17   17 17.0
18   18 18.0
19   19 19.0

In [7]: x = p.x

In [8]: x.sort_values()
Out[8]:

 0   10
 1   11
 2   12
 3   13
 4   14
 5   15
 6   16
 7   17
 8   18
 9   19