[REVIEW] First pass of pd.read_orc changes in tests

[galipremsagar]

Description

This PR changes calls going via pyarrow and then to_pandas to directly call pd.read_orc. How-ever since pd.read_orc was added in pandas 1.0, we will need to version the call to this constructor. This PR does that.

Partially contributes to #11540

Checklist

• I am familiar with the Contributing Guidelines.
• New or existing tests cover these changes.
• The documentation is up to date with these changes.

[codecov]

Codecov Report

Base: 87.47% // Head: 88.08% // Increases project coverage by +0.60% 🎉

Coverage data is based on head (b69b791) compared to base (f817d96).
Patch has no changes to coverable lines.

❗ Current head b69b791 differs from pull request most recent head ec43524. Consider uploading reports for the commit ec43524 to get more accurate results

Additional details and impacted files

@@               Coverage Diff                @@
##           branch-22.12   #12103      +/-   ##
================================================
+ Coverage         87.47%   88.08%   +0.60%     
================================================
  Files               133      135       +2     
  Lines             21826    22100     +274     
================================================
+ Hits              19093    19466     +373     
+ Misses             2733     2634      -99     

Impacted Files	Coverage Δ
python/cudf/cudf/core/column/interval.py	85.45% <0.00%> (-9.10%)	⬇️
python/cudf/cudf/io/text.py	91.66% <0.00%> (-8.34%)	⬇️
python/cudf/cudf/core/_base_index.py	81.28% <0.00%> (-4.27%)	⬇️
python/cudf/cudf/io/json.py	92.06% <0.00%> (-2.68%)	⬇️
python/cudf/cudf/utils/utils.py	89.91% <0.00%> (-0.69%)	⬇️
python/cudf/cudf/core/column/timedelta.py	90.17% <0.00%> (-0.58%)	⬇️
python/cudf/cudf/core/column/datetime.py	89.21% <0.00%> (-0.51%)	⬇️
python/cudf/cudf/core/column/column.py	87.96% <0.00%> (-0.46%)	⬇️
python/dask_cudf/dask_cudf/core.py	73.72% <0.00%> (-0.41%)	⬇️
python/cudf/cudf/io/parquet.py	90.45% <0.00%> (-0.39%)	⬇️
... and 41 more

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[vuule]

Like the change!

Can we expect noticeably lower test execution time with this change? I don't have a good sense of how efficient the conversion is(was).

[wence-]

Thanks! My only comment is whether we need to support pandas pre 1.0 at all?

[galipremsagar]

Thanks! My only comment is whether we need to support pandas pre 1.0 at all?

Good catch. Rapids only support pandas >=1.0, so dropped the pre 1.0 code.

[galipremsagar]

@gpucibot merge