Release v3.16.0: Add complete ARRAY type support

Major Features:
- Complete ARRAY type support with native format parsing
- SQLAlchemy AthenaArray type integration
- Smart comma splitting for struct arrays: [{name=John, age=30}] → [{'name': 'John', 'age': 30}]
- Comprehensive DDL compilation tests for complex types (ARRAY, MAP, STRUCT)

ARRAY Type Features:
- Native format: [1, 2, 3] → [1, 2, 3]
- JSON format support: ["a", "b"] → ["a", "b"]
- Struct arrays: [{name=John, age=30}] → [{'name': 'John', 'age': 30}]
- Nested arrays: [[1, 2], [3, 4]]
- SQLAlchemy integration: AthenaArray(String), AthenaArray(Integer)

Testing Improvements:
- 50+ new ARRAY type tests across converter, cursor, and SQLAlchemy
- DDL compilation tests for all complex types
- Comprehensive coverage of type combinations and edge cases

Documentation:
- Complete ARRAY Type Support section in SQLAlchemy docs
- Usage examples, data format support, and migration guide
- Updated introduction to reflect complete ARRAY support

This release completes the complex data type support trilogy alongside
MAP and STRUCT types, providing full native handling for all Amazon
Athena complex data types.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: laughingman7743

pyathena/__init__.py

@@ -10,7 +10,7 @@
     from pyathena.connection import Connection, ConnectionCursor
     from pyathena.cursor import Cursor
 
-__version__ = "3.15.0"
+__version__ = "3.16.0"
 user_agent_extra: str = f"PyAthena/{__version__}"
 
 # Globals https://www.python.org/dev/peps/pep-0249/#globals