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Valentin Haenel edited this page May 17, 2021 · 1 revision

Numba Meeting: 2021-05-11

Attendees:

NOTE: All communication is subject to the Numba Code of Conduct.

0. Feature Discussion/admin

1. New Issues

  • #7012 - pow() producing incorrect results for negative integer exponent
  • #7006 - Call to cuLinkAddData results in UNKNOWN_CUDA_ERROR
    • OS distro packaging problem unrelated to numba
  • #7002 - Purely scalar inputs break njit'd functions that utilize np.stack
  • #6998 - np.linalg.solve unexpectedly returns an F_CONTIGUOUS array for C_CONTIGUOUS inputs
    • mismatch in np implementation details on array layout
  • #6993 - Generators don't get cleaned up on
    • memory leak in generator

Closed Issues

2. New PRs

  • #7011 - WIP: Add the check of the 'noalias' attrubute before lowering 'inplace_bin' op, this fix #6949 .
  • #7010 - WIP: Add ddof argument to nanvar and nanstd
  • #7009 - Add writable args
  • #7008 - Added support for np.random.dirichlet with all size arguments
  • #7007 - Made stencil compilation not fail for arrays of conflicting types.
  • *** #7005 - Make numpy.searchsorted match NumPy when first argument is unsorted
  • #7004 - Test extending the CUDA target
  • #7003 - More mainline fixes
  • #7001 - Make some numba.core modules flake8 compliant
  • #6997 - CUDA: Remove catch of NotImplementedError in target.py
  • *** #6996 - Add constant lowering support for SliceTypes
    • Todd suggests adding test using in parfors
  • #6995 - Resolve issue where nan was being assigned to int type numpy array
  • #6992 - Moved typedlist iter into njit code instead of just getitem

Closed PRs

  • #7000 - Fix various issues on mainline.
  • #6999 - Fix errors introduced by the cloudpickle patch
  • #6994 - Wip/fix6990

3. Next Release: Version 0.54.0/0.37.0, RC=June 2021

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