Minutes_2019_03_12
Siu Kwan Lam edited this page Mar 19, 2019
·
1 revision
Attendees: Stan, Siu, Ehsan, Stuart
-
0.43.0 release
- Add note to release notes indicating known issues with NumPy 1.16
- action:
- stuart open PR to note the above + xfail/skip related tests
- fix setup script (see https://github.com/numba/numba/issues/3846)
-
llvmlite https://github.com/numba/llvmlite/pull/466
- opens up opportunity for LLVM pass in python
- LLVM IR manipulation API and lifetime tracking
-
complex type returns from C-ABI for scipy functions
-
#3855 - Extending and strengthening
numba.extending.overload
- #3854 - Support np.delete
- #3851 - Rewrite of refcount pruning pass w/o regex
- #3848 - LoweringError after NotImplementedError
-
#3846 - Install fails on clean Python 3.5 environment
- Add Python 3.5 back into wheel builds
- Fix setup.py to note that numpy is a build requirement
-
#3844 - "data type not understood" with readonly array argument
- already fixed
-
#3841 - Passing *args to function calls fails when parallel=True
- gufunc issue with tuples
-
#3840 - numba with cudatoolkit on Windows not finding libraries
- we think this is already fixed, no response from user
-
#3839 - Switch to LLVM 8 backend
- Delayed because LLVM 8 has another RC
-
#3838 - Add or document signature syntax for zero dimensional arrays
- Need to think harder about how zero-dimensional arrays function before making signature easier to type
- Should document workaround in FAQ
-
#3836 - Unicode String iteration
- see PR
-
#3835 - Support
list()
ctor for unicode types- see PR (same as above)
-
#3834 - support
__mul__
for strings- Good "first" issue
- #3849 - Python UnboundLocalError not recognized by numba
- #3843 - Numba 0.42.1 on Linux : 'No threading layer could be loaded' when config.THREADING_LAYER = 'omp'
- #3833 - Numba 0.43 RC checklist
-
#3853 - Fix some minor issues in the C source.
- failing some things in CI still
-
#3852 - Continuation of PR #2894
- finishing out jitclass default constructor arguments
-
#3850 - WIP: refactor np.interp
- trying to match what NumPy does better
-
#3847 - Allow fine-grained control of fastmath flags to partially address #2923
- Need to do more research on how this works in clang
- need to check that SVML is still OK
-
#3845 - Fix mutable flag transmission in .astype
- ready to merge
-
#3842 - Unicode type iteration
- will mark ready to merge
- Need better API for iterators
See https://github.com/numba/numba/projects/10
- Initial dictionary support
- many other fixes