perf: use is_between to skip parquet row groups

[taki-mekhalfa]

Closes #13908

I tried to add row groups pruning when handling is_between conditions.

example df:

>>> df
shape: (90, 1)
┌─────┐
│ d   │
│ --- │
│ i64 │
╞═════╡
│ 10  │
│ 11  │
│ 12  │
│ 13  │
│ 14  │
│ …   │
│ 95  │
│ 96  │
│ 97  │
│ 98  │
│ 99  │
└─────┘

>>> pl.scan_parquet('test.parquet').filter(pl.col('d').is_between(4, 9)).collect()
parquet file can be skipped, the statistics were sufficient to apply the predicate.
shape: (0, 1)
┌─────┐
│ d   │
│ --- │
│ i64 │
╞═════╡
└─────┘

>>> pl.scan_parquet('test.parquet').filter(pl.col('d').is_between(200, 900)).collect()
parquet file can be skipped, the statistics were sufficient to apply the predicate.
shape: (0, 1)
┌─────┐
│ d   │
│ --- │
│ i64 │
╞═════╡
└─────┘

>>> pl.scan_parquet('test.parquet').filter(pl.col('d').is_between(1, 10, closed='none')).collect()
parquet file can be skipped, the statistics were sufficient to apply the predicate.
shape: (0, 1)
┌─────┐
│ d   │
│ --- │
│ i64 │
╞═════╡
└─────┘

[deanm0000]

Fixes this #13908

[ritchie46]

Nice, thanks a lot.