Minutes_2019_08_27

Attendees: Stuart, Pearu, Val, Todd, Siu, Stan, Ehsan, Aaron

0. Feature Discussion

**** #4484 - Nested parallel function will never return and weird concurrency
- TOFIX: try to detect threadpool lockup
- SUGGEST: TBB
**** #4483 - Incorrect results for np.dot with zero-sized arrays
- What should it do?
#4481 - function accelerated by jit can not use lambda
- sorted doesn't support key
#4479 - np.argsort and ndarray.argsort only on 1-D data
- need to look into this
#4478 - Support for new const arrays / ndarray.setflags
- setflags usage can be problematic
#4477 - How to express bool arguments to a @guvectorise function?
- no action required
**** #4473 - Type hints for Numba code base
#4471 - Array order check is too strict
- good idea, but requires a lot of changes in implementations of NumPy calls
#4470 - Can't create a numpy array from a numpy array
- PR in flight
#4469 - Issue using differently shaped NumPy array
- needs more investigation
#4466 - Support passing scalars by reference to ctypes/cffi methods
- good suggestion
#4465 - Overload with kwargs provides inconsistent type arguments
- need more helpers to make life easier with kwargs
- related to declarative typing

#4482 - Fix example in guvectorize docstring.
#4480 - [WIP] Reimplementing np.mean with overload and adding axis parameter
#4476 - [WIP] Another attempt at fixing frame injection in the dispatcher tracing path
#4475 - Overload np.array to accept arrays
**** #4474 - Fix liveness for remove dead of parfors (and other IR extensions)
#4472 - [WIP] allow dtype input argument in np.sum
#4468 - Prevent CUDA kernel launch without a specified launch config.
**** #4467 - [WIP] Literal dispatch
#4464 - Add a newline in patched errors

Finish pending rewrite passes
Python 3.8 support
Document best practices for constructing new compiler pipelines
Define autodiscovery system for Numba extensions (like numba_scipy or HPAT) that don't need direct user import
Allow opt-in dispatching of functions by literal value
Making caching aware of transitive dependencies
Define declarative typing system for @overload (to be used in future releases)
Numba Runtime C API for extensions to register reference-counted memory with the runtime.
Start using new CI system in parallel with existing one
Priority bug fixes:
- Low performance of JIT method calls (requested by Pandas devs)
- Others TBD