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Closes rapidsai#14537.

Authors:
  - Matthew Murray (https://github.com/Matt711)
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - GALI PREM SAGAR (https://github.com/galipremsagar)
  - Matthew Roeschke (https://github.com/mroeschke)
  - Vyas Ramasubramani (https://github.com/vyasr)

URL: rapidsai#16601

…#16574)

Improves performance of wide strings (avg > 64 bytes) when using `cudf::strings::slice_strings`.
Addresses some concerns from issue rapidsai#15924

Authors:
  - David Wendt (https://github.com/davidwendt)

Approvers:
  - Bradley Dice (https://github.com/bdice)
  - Muhammad Haseeb (https://github.com/mhaseeb123)

URL: rapidsai#16574

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rapidsai#16787)

The NVbench application `PARQUET_READER_NVBENCH` in libcudf currently crashes with the segmentation fault. To reproduce:

```
./PARQUET_READER_NVBENCH -d 0 -b 1 --run-once -a io_type=FILEPATH -a compression_type=SNAPPY -a cardinality=0 -a run_length=1
```
 
The root cause is that some (1) `thread_local`  objects on the main thread in `libcudf` and (2) `static` objects in `kvikio` are destroyed after `cudaDeviceReset()` in NVbench and upon program termination. These objects should simply be leaked, since their destructors making CUDA calls upon program termination constitutes UB in CUDA.

This simple PR is the cuDF side of the fix. The other part is done here rapidsai/kvikio#462.

closes rapidsai#13229

Authors:
  - Tianyu Liu (https://github.com/kingcrimsontianyu)
  - Vukasin Milovanovic (https://github.com/vuule)

Approvers:
  - Vukasin Milovanovic (https://github.com/vuule)
  - Nghia Truong (https://github.com/ttnghia)

URL: rapidsai#16787

…ilable (rapidsai#16652)

There are some places where a public object like `DataFrame` or `Index` accesses a `ColumnAccessor` attribute when it's accessible in a shared subclass attribute instead (like `Frame`).

In an effort to access the `ColumnAccessor` less, replaced usages of `._data.attribute` with a `Frame` specific attribute`

Authors:
  - Matthew Roeschke (https://github.com/mroeschke)
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

URL: rapidsai#16652

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This PR adds `cudf-polars` to the top level build script.

Authors:
  - https://github.com/brandon-b-miller
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - GALI PREM SAGAR (https://github.com/galipremsagar)
  - Jake Awe (https://github.com/AyodeAwe)

URL: rapidsai#16898

Before when `columns=` was a `cudf.Series/Index` we would call `return array.unique.to_pandas()`, but `.unique` is a method not a property so this would have raised an error.

Also took the time to refactor the helper methods here and push down the `errors=` keyword to `Frame._drop_column`

Authors:
  - Matthew Roeschke (https://github.com/mroeschke)

Approvers:
  - Bradley Dice (https://github.com/bdice)

URL: rapidsai#16712

This PR is a first pass at rapidsai#15937. We will close rapidsai#15937 after rapidsai#15162 is closed

Authors:
  - Matthew Murray (https://github.com/Matt711)

Approvers:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

URL: rapidsai#16810

Fixes rapidsai#16625

This PR fixes a slow implementation of the centroid merging step during the tdigest merge aggregation.  Previously it was doing a linear march over the individual tdigests per group and merging them one by one.  This led to terrible performance for large numbers of groups.  In principle though, all this really was doing was a segmented sort of centroid values. So that's what this PR changes it to.  Speedup for 1,000,000 input tidests with 1,000,000 individual groups is ~1000x,

```
Old
---------------------------------------------------------------------------------------------------------------
Benchmark                                                                     Time             CPU   Iterations
---------------------------------------------------------------------------------------------------------------
TDigest/many_tiny_groups/1000000/1/1/10000/iterations:8/manual_time        7473 ms         7472 ms            8
TDigest/many_tiny_groups2/1000000/1/1/1000/iterations:8/manual_time        7433 ms         7431 ms            8
```


```
New
---------------------------------------------------------------------------------------------------------------
Benchmark                                                                     Time             CPU   Iterations
---------------------------------------------------------------------------------------------------------------
TDigest/many_tiny_groups/1000000/1/1/10000/iterations:8/manual_time        6.72 ms         6.79 ms            8
TDigest/many_tiny_groups2/1000000/1/1/1000/iterations:8/manual_time        1.24 ms         1.32 ms            8
```

Authors:
  - https://github.com/nvdbaranec
  - Muhammad Haseeb (https://github.com/mhaseeb123)
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - Muhammad Haseeb (https://github.com/mhaseeb123)
  - Nghia Truong (https://github.com/ttnghia)
  - Mike Wilson (https://github.com/hyperbolic2346)

URL: rapidsai#16780

This PR displays delta's for CPU and GPU usage metrics that are extracted from `cudf.pandas` pytests.

Authors:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - Jake Awe (https://github.com/AyodeAwe)

URL: rapidsai#16864

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