v2.2.0

Added

• OWN_GIL Mode - True parallel Python execution with Python 3.14+ subinterpreters. Each subinterpreter runs with its own GIL in a dedicated thread, enabling true parallelism for CPU-bound workloads.

• Process-Bound Python Environments - Per-Erlang-process Python namespaces with isolated globals/locals that persist across calls.

• Event Loop Pool - py_event_loop_pool distributes async tasks with scheduler-affinity routing.

• ByteChannel API - Raw byte streaming without term serialization. Ideal for HTTP bodies, file streaming, binary protocols.

• PyBuffer API - Zero-copy buffer for WSGI input streams with file-like interface.

• True streaming API - py:stream_start/3,4 and py:stream_cancel/1 for event-driven streaming from Python generators.

• erlang.whereis(name) - Lookup registered Erlang PIDs from Python.

• erlang.schedule_inline(callback) - Inline continuation scheduling.

• py:spawn_call/3,4,5 - Fire-and-forget with result delivery.

• Explicit bytes conversion - {bytes, Binary} tuple for round-trip safety.

• Import caching API - py:import/1,2, py:add_import/1,2, py:add_path/1.

• Per-interpreter preload code - Execute code in new interpreters with inherited globals.

Fixed

• Channel notification for create_task
• Channel waiter race condition
• Event loop isolation and resource safety
• Python 3.14 venv activation
• OWN_GIL safety fixes (mutex leak, deadlock prevention, env validation)

Changed

• py:cast is now fire-and-forget (use py:spawn_call for results)
• OWN_GIL requires Python 3.14+
• Removed auto-started io pool
• Removed py_event_router
• Config-based initialization for imports/paths

Performance

• Direct NIF channel operations (up to 1760x speedup)
• nif_process_ready_tasks optimization (~15% improvement)

See CHANGELOG.md for full details.