[pkgsrc/trunk]: pkgsrc/math/py-numba py-numba: updated to 0.45.1

[adam <adam%pkgsrc.org@localhost>]

details:   https://anonhg.NetBSD.org/pkgsrc/rev/e3e0c4adbab3
branches:  trunk
changeset: 399322:e3e0c4adbab3
user:      adam <adam%pkgsrc.org@localhost>
date:      Tue Aug 06 20:00:42 2019 +0000

description:
py-numba: updated to 0.45.1

Version 0.45.1
This patch release addresses some regressions reported in the 0.45.0 release and adds support for NumPy 1.17:

* accept scalar/0d-arrays
* Fix. Parfors reduction vars not deleted.
* Use process level locks for fork() only.
* Try to fix.
* Fix np1.17 isnan, isinf, isfinite ufuncs
* Fix np.interp for np1.17 nan handling
* Fix nump1.17 random function non-aliasing

Version 0.45.0
In this release, Numba gained an experimental numba.typed.List container as a future replacement of the reflected list. In addition, functions decorated with parallel=True can now be cached to reduce 
compilation overhead associated with the auto-parallelization.

Enhancements from user contributed PRs (with thanks!):

James Bourbeau added the Numba version to reportable error messages, added the signature parameter to inspect_types, improved the docstring of normalize_signatur, and fixed by adding reference 
counting to register_dispatcher
Guilherme Leobas implemented the dominator tree and dominance frontier algorithms
Nick White fixed the issue with round in the CUDA target.
Joshua Adelman added support for determining if a value is in a range (i.e. x in range(...)), and added windowing functions (np.bartlett, np.hamming, np.blackman, np.hanning, np.kaiser) from NumPy.
Lucio Fernandez-Arjona added support for np.select
Rob Ennis added support for np.flatnonzero
Keith Kraus extended the __cuda_array_interface__ with an optional mask attribute.
Gregory R. Lee replaced deprecated use of inspect.getargspec

diffstat:

 math/py-numba/Makefile |   4 ++--
 math/py-numba/distinfo |  10 +++++-----
 2 files changed, 7 insertions(+), 7 deletions(-)

diffs (28 lines):

diff -r b2bb38e5cd60 -r e3e0c4adbab3 math/py-numba/Makefile
--- a/math/py-numba/Makefile    Tue Aug 06 19:43:35 2019 +0000
+++ b/math/py-numba/Makefile    Tue Aug 06 20:00:42 2019 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.10 2019/06/21 08:07:47 adam Exp $
+# $NetBSD: Makefile,v 1.11 2019/08/06 20:00:42 adam Exp $
 
-DISTNAME=      numba-0.44.1
+DISTNAME=      numba-0.45.1
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numba/}
diff -r b2bb38e5cd60 -r e3e0c4adbab3 math/py-numba/distinfo
--- a/math/py-numba/distinfo    Tue Aug 06 19:43:35 2019 +0000
+++ b/math/py-numba/distinfo    Tue Aug 06 20:00:42 2019 +0000
@@ -1,7 +1,7 @@
-$NetBSD: distinfo,v 1.9 2019/06/21 08:07:47 adam Exp $
+$NetBSD: distinfo,v 1.10 2019/08/06 20:00:42 adam Exp $
 
-SHA1 (numba-0.44.1.tar.gz) = 46fb3983e7b437e4538d9120a2e2547ee9684fba
-RMD160 (numba-0.44.1.tar.gz) = 95a485234bbfba71e854f4ef6d70ff2a86de8ee5
-SHA512 (numba-0.44.1.tar.gz) = b29f413ede9ac3396a25fabaaa107cc4b0b71c4d6fd4c5d57d3b22accbb1c922f77b8f4eea060fdf857e3d27f2ab4433405a3765f272bb1a7ab749547beb2ea4
-Size (numba-0.44.1.tar.gz) = 1692943 bytes
+SHA1 (numba-0.45.1.tar.gz) = 145161745447afea32a4dcdd0bf4875896d220df
+RMD160 (numba-0.45.1.tar.gz) = a996debccb1a6889789c926d3b4d28262c30aceb
+SHA512 (numba-0.45.1.tar.gz) = a35a151dce050e0b90420d2ce073687e5ee069255a1a8c2ef6df2a0e16c4540215ce7bc1f0d8081558fa6abb8e8c786ed35903d345ac209c95d4a0d947045e46
+Size (numba-0.45.1.tar.gz) = 1782845 bytes
 SHA1 (patch-numba_npyufunc_workqueue.c) = 0bcbeff869174265a2d776f847e880a99676d812