Minutes_2019_01_08

Attendees: Siu, Stuart, Todd, Stan, Ehsan

0. Feature Discussion

ARM machine CI/CD offer https://github.com/numba/numba/issues/3308#issuecomment-451536356
- Stan to reply
CI cleanup:
- Remove extra services from numba and llvmlite repos
- Remove unneeded badges from README's / docs (like appveyor)
- Decide how to add test coverage monitoring back in
  - Travis CI has good integration with other services, but too slow to run full test suite with coverage turned on
  - Not sure how to handle secret tokens on Azure yet
  - Secret tokens can't be enabled for PRs (or someone could commit test code changes to exfiltrate the token) so not sure how to have code coverage reporting on PRs
Numba 0.43 planning:
- Feb 26 RC date?
- Initial dictionary support
- Need to focus on finishing / closing stale PRs
- Investigate speeding up test suite (large sections of serial test execution)
- What other major features / initiatives?
  - http://numba.pydata.org/numba-doc/latest/developer/roadmap.html
- Time to start The Great Numba Code Cleanup?
  - Need to augment @overload with more type information first
  - Then we can be sure to add it as we refactor

#3666 - LLVM IR parsing error in a large function
#3665 - PyPI wheels for numba contain incorrect hashes which lead to resolver failure on strict hash checking
- double check linux
#3664 - Trace var types in undefined lists for better error message
#3659 - Array comprehension fails against multidimensional array
#3658 - KeyError when caching with multiple files
#3656 - Threading improvements in roadmap
#3653 - Return of tuple with optional type
#3652 - Lowering error with automatic parallelization
#3650 - nopython mode -- numpy.where function not working with True/False yield values supplied
#3649 - np.linalg.norm impl kwarg ord broken
#3644 - Dictionary support
#3642 - gdb launch potential race condition (safe, just undesirable)
#3641 - trouble with Literal{T} & undefined local
#3639 - [Docs?] Numba creates multiple Python objects for an object returned more than once
#3637 - config.threading_layer = 'intel-openmp'
#3636 - Add outdated warning to old docs.
#3635 - Forcing parallel and nogil for CC
#3634 - kmeans list comprehension
#3632 - Using CC cant use function defined in own module
#3629 - Time for first njit compilation
#3628 - why not I can complie the code using numba.jit
#3625 - Segfault using generated_jit and profiler
#3619 - FakeCUDAAtomic Add, Min and Max methods do not return the old value

#3654 - List of lists with array type error
#3647 - How to write a cuda kernel function that performs a regression（least square estimator ）for each thread?
#3626 - Numba 0.42 final release checklist
#3623 - Issue with list comprehension
#3621 - Nested ctypes calls using njit(cache=True) results in segmentation fault
#3620 - Unsupported nested memory-managed object

#3663 - Removes coverage computation from travisci builds
#3661 - Access C Struct as Numpy Structured Array
#3660 - Added Ignore message to test numba.tests.test_lists.TestLists.test_mul_error…
#3657 - [WIP] np.max, np.min, np.nanmax, np.nanmin - support for complex dtypes
#3655 - WIP: support numpy.average
#3648 - WIP: Fail on @overload signature mismatch.
#3646 - [WIP] Log internal errors encountered in typeinfer
- looking for feedback
#3645 - Enforce and fix that AbstractTemplate.generic must be returning a Sig…
#3640 - [WIP] PassThruContainer
- provides feedback for user
#3638 - Fix frame injection in the dispatcher tracing path.
#3633 - Support for np.extract
#3630 - np.where with broadcasting
#3627 - Support for np.trapz
#3615 - ~~Fix gdb support on RPi~~ closed

#3662 - Replace six with numba.six
#3651 - fix link to berryconda in docs
#3643 - Remove support_literals usage
#3631 - Update changelog
#3624 - Fix invalid enabling of caching for function that references dynamic external addresses
#3622 - Handle User Defined Exceptions with args.
#3618 - Skip gdb tests on ARM.
#3617 - Draft roadmap as of Dec 2018
#3616 - Skip gdb tests on ARM.
#3614 - Resolve #3586

#3604 - [WIP] Support for np.interp
#3592 - WIP: Add dead branch prune before type inference.
#3561 - Fixing the boolean copy from data
- In progress
#3556 - [WIP] Support for np.trim_zeros
- in progress
#3519 - WIP: fix-3457 support of numpy repeat.
#3468 - Add support for np.clip and ndarray.clip.
- depends on fix on @overload_method for kwargs
3450 - [WIP] generated_jit for CUDA kernels
3134 - [WIP] Cfunc x86 abi
- Needs re-review
3046 - Pairwise sum implementation.
#2999 - Support LowLevelCallable
#2942 - Fix linkage nature (declspec(dllexport)) of some test functions
#2894: [WIP] Implement jitclass default constructor arguments.
#2817: [WIP] Emit LLVM optimization remarks

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