Update sqlalchemy requirement from <2.0 to <3.0

[dependabot[bot]]

Updates the requirements on sqlalchemy to permit the latest version.

Release notes

Sourced from sqlalchemy's releases.

2.0.5.post1

Released: March 5, 2023

orm

• [orm] [bug] Added constructor arguments to the built-in mapping collection types including KeyFuncDict, _orm.attribute_keyed_dict(), _orm.column_keyed_dict() so that these dictionary types may be constructed in place given the data up front; this provides further compatibility with tools such as Python dataclasses .asdict() which relies upon invoking these classes directly as ordinary dictionary classes.

  References: #9418

• [orm] [bug] [regression] Fixed multiple regressions due to #8372, involving _orm.attribute_mapped_collection() (now called _orm.attribute_keyed_dict()).

  First, the collection was no longer usable with "key" attributes that were not themselves ordinary mapped attributes; attributes linked to descriptors and/or association proxy attributes have been fixed.

  Second, if an event or other operation needed access to the "key" in order to populate the dictionary from an mapped attribute that was not loaded, this also would raise an error inappropriately, rather than trying to load the attribute as was the behavior in 1.4. This is also fixed.

  For both cases, the behavior of #8372 has been expanded. #8372 introduced an error that raises when the derived key that would be used as a mapped dictionary key is effectively unassigned. In this change, a warning only is emitted if the effective value of the ".key" attribute is None, where it cannot be unambiguously determined if this None was intentional or not. None will be not supported as mapped collection dictionary keys going forward (as it typically refers to NULL which means "unknown"). Setting _orm.attribute_keyed_dict.ignore_unpopulated_attribute will now cause such None keys to be ignored as well.

  References: #9424

• [orm] [bug] Identified that the sqlite and mssql+pyodbc dialects are now compatible with the SQLAlchemy ORM's "versioned rows" feature, since SQLAlchemy now computes rowcount for a RETURNING statement in this specific case by counting the rows returned, rather than relying upon cursor.rowcount. In particular, the ORM versioned rows use case (documented at mapper_version_counter) should now be fully supported with the SQL Server pyodbc dialect.

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