Pydiverse-pipedag

- increased metadata_version to 0.3.2 => please delete metadata with pipedag-manage when upgrading from <= 0.6.6 to >= 0.6.7
- Make separator customizable when splitting RawSql into statements.
- Add `DropNickname` for DB2 and drop nicknames when dropping schemas.
- Add debug function `materialize_table`.
- Update install instructions and dependencies to enable DB2 and mssql development on OS X with an `arm64` architecture.
- Update PR template
- Run `RUNSTATS` on every DB2 table after creation
- Add `materialization_details` as an option to `IBMDB2TableStore`. For now DB2 compression, DB2 table spaces are supported and Postgres `unlogged` tables are supported.
- For Postgres `unlogged` tables this is a breaking change. The `unlogged_tables` option does not exist anymore. Instead, use `materialization_details: __any__: unlogged: true`.

Workaround for known Problems:
- add materialization_details in configuration when using ibm_db2 database connection

- Implement support for loading polars dataframes from DuckDB.
- Accelerate storing of dataframes (pandas and polars) to DuckDB (10-100x speedup).
- Fix `TypeError` being raised when using pydiverse transform SQLTableImpl together with a local table cache.

- Implemented automatic versioning of tasks by setting task version to [](AUTO_VERSION).
This feature is currently only supported by Polars [`LazyFrame`](inv:plreference/lazyframe/index) and by Pandas.
- Added [](kroki_url) config option.

- Allow invocation of undecorated task functions when calling task object outside of flow definition context.
- Rename `ignore_fresh_input` to `ignore_cache_function`.
- Fix race condition leading to `JSONDecodeError` in [](ParquetTableCache) when setting `store_input: true` together with the `DaskEngine`.
- Fix running subset of tasks not working due to tables and blobs being retrieved from wrong schema.

- Fix crash during config initialization when using [](DatabaseLockManager) together with `PostgreSQL`.

- Switch back to using numpy nullable dtypes for Pandas as default.
- Ensure that indices get created in same schema as corresponding table (IBM Db2).
- Fix private method `SQLTableStore.get_stage_hash`.