Release v1.0.1

Changed:

• Updates of dependencies and change of build tool to uv

Release v1.0.0

Added:

• Package API declared stable.

Version 0.4.0 Retry decorator

Added:

• New @Retry decorator for retries of coroutine calls.

Version 0.3.1 Bugfix for a potential memory leak

Added:

• Doctests to ensure the examples in the documentation keep being correct

Fixed:

• A potential memory leak in case was fixed. It could occur if one of the tasks waiting for the
  result of a function decorated with @Batch was cancelled.

Changed:

• Decorators are now implemented in submodules. The public interface is unchanged

Version 0.3.0 Adding support for numpy

Added:

• Support for numpy arrays in the @Batch decorator

Version 0.2.0 Stabilizing the @batch decorator

Added:

• Propagation of function exceptions to all callers for the @Batch decorator
• A dockerized example service using minibatching and load shedding

Fixed:

• Occasional Python 3.8 f-strings were replaced by a Python 3.7 compatible implementation
• A race condition was fixed that occurred in case of multiple concurrent calls running into the
  max_waiting_time at the same moment

Version 0.1.0 First release on PyPI

Added:

• @Batch decorator for minibatching of coroutine calls.
• @limit_jobs decorator to limit the number of concurrent calls to a coroutine function.