Bumps [conda-incubator/setup-miniconda](https://github.com/conda-incubator/setup-miniconda) from 2.2.0 to 2.3.0.
- [Release notes](https://github.com/conda-incubator/setup-miniconda/releases)
- [Changelog](https://github.com/conda-incubator/setup-miniconda/blob/main/CHANGELOG.md)
- [Commits](conda-incubator/setup-miniconda@v2.2.0...v2.3.0)

---
updated-dependencies:
- dependency-name: conda-incubator/setup-miniconda
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* add preoptimizer and datetime_coercion rule

* fix pytest

* add pytest

* style

* check for math exprs

* style

* fix logic

* handle nested binaryexprs

* remove whitespace

* temporarily remove sql.rs changes

* readd preoptimizer logic

* use with_new_exprs

* style

---------

Co-authored-by: Jeremy Dyer <[email protected]>
Co-authored-by: Charles Blackmon-Luca <[email protected]>

* Bump GPU CI to CUDA 11.8

* Resolve deprecation warnings

* Update gpuCI `RAPIDS_VER` to `24.02`

* Un-xfail q38

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Charles Blackmon-Luca <[email protected]>

* Initial python version bump in CI

* Add libprotobuf to GPU CI environments

* Replace mentions of old env files

* Remove strict channel priority to try to unblock env solves?

* Establish minimum version for mlflow

* Revert "Remove strict channel priority to try to unblock env solves?"

This reverts commit e454833.

* Try strict channel priority without nodefaults

* Bump mlflow min version to fix windows failures

* Build python 3.11 wheels

* Run wheel builds in PR test

* Try protoc action in wheels build to unblock

* Skip hive testing on 3.11 for now

* Fix workflow syntax errors

* Stop running wheel CI

* Bump pyo3 abi minor version

* Initial run of pyupgrade to py39

* Continue marking test_dask_fsql as flaky

* More places to drop 3.8

* Try running tests on python 3.12

* Add environment file

* Skip sasl installation

* Drop protoc build dep

* Drop mlflow constraint

* Set min version for mlflow

* Drop mlflow from 3.12 tests for now

* Relocate docker/server files to continuous_integration

* Unpin dask/distributed

* unpin 3.9 gpu environment

* add 3.12 to classifiers

* unpin dask in gpuci 3.9

Bumps [async-trait](https://github.com/dtolnay/async-trait) from 0.1.74 to 0.1.77.
- [Release notes](https://github.com/dtolnay/async-trait/releases)
- [Commits](https://github.com/dtolnay/async-trait/commits)

---
updated-dependencies:
- dependency-name: async-trait
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Pin sklearn to <1.4

* Unpin sqlalchemy<2

* Refactor pyhive input/tests for sqlalchemy 2

* Use astype to normalize dtypes in _assert_query_gives_same_result

* Refine pd.NA normalization in _assert_query_gives_same_result

* Explicitly compute pandas result in test_join_reorder

* xfail tpot tests, unpin sklearn

* Linting

* Pin dask/distributed

* Bump version to 2024.1.0-rc0

* Bump GPU envs and docs to CTK 11.8

* Use conda nightlies for dask/distributed in GPU envs