Sqlalchemy-cratedb

- CI: Verified support on Python 3.13
- Dependencies: Updated to `crate-1.0.0.dev2`

- Propagate error traces properly, using the `error_trace` `connect_args` option,
by using `crate-1.0.0.dev1`
- Use slightly amended `do_execute`, `do_execute_no_params`, `do_executemany`
to store their responses into the request context instance

- Added `quote_relation_name` support utility function

- Added/reactivated documentation as `sqlalchemy-cratedb`
- Added `CrateIdentifierPreparer`, in order to quote reserved words
like `object` properly, for example when used as column names.
- Fixed `CrateDialect.get_pk_constraint` to return `list` instead of `set` type
- Added re-usable patches and polyfills from application adapters.
New utilities: `patch_autoincrement_timestamp`, `refresh_after_dml`,
`check_uniqueness_factory`
- Added `table_kwargs` context manager to enable pandas/Dask to support
CrateDB dialect table options.
- Fixed SQL rendering of special DDL table options in `CrateDDLCompiler`.
Before, configuring `crate_"translog.durability"` was not possible.
- Unlocked supporting timezone-aware `DateTime` fields
- Added support for marshalling Python `datetime.date` values on `sa.DateTime` fields

- Added support for CrateDB's [FLOAT_VECTOR] data type and its accompanying
[KNN_MATCH] function, for HNSW matches. For SQLAlchemy column definitions,
you can use it like `FloatVector(dimensions=1536)`.
- Fixed `get_table_names()` reflection method to respect the
`schema` query argument in SQLAlchemy connection URLs.

[FLOAT_VECTOR]: https://cratedb.com/docs/crate/reference/en/latest/general/ddl/data-types.html#float-vector
[KNN_MATCH]: https://cratedb.com/docs/crate/reference/en/latest/general/builtins/scalar-functions.html#scalar-knn-match

- Dependencies: Use `crate==1.0.0dev0`