CVS commit: pkgsrc/math/py-autograd

To: pkgsrc-changes%NetBSD.org@localhost
Subject: CVS commit: pkgsrc/math/py-autograd
From: "Adam Ciarcinski" <adam%netbsd.org@localhost>
Date: Mon, 27 Apr 2020 19:03:26 +0000

Module Name:    pkgsrc
Committed By:   adam
Date:           Mon Apr 27 19:03:26 UTC 2020

Modified Files:
        pkgsrc/math/py-autograd: Makefile PLIST distinfo

Log Message:
py-autograd: updated to 1.3

1.3:
Unknown changes


To generate a diff of this commit:
cvs rdiff -u -r1.2 -r1.3 pkgsrc/math/py-autograd/Makefile \
    pkgsrc/math/py-autograd/PLIST pkgsrc/math/py-autograd/distinfo

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

Modified files:

Index: pkgsrc/math/py-autograd/Makefile
diff -u pkgsrc/math/py-autograd/Makefile:1.2 pkgsrc/math/py-autograd/Makefile:1.3
--- pkgsrc/math/py-autograd/Makefile:1.2        Sun Oct  8 20:22:46 2017
+++ pkgsrc/math/py-autograd/Makefile    Mon Apr 27 19:03:26 2020
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.2 2017/10/08 20:22:46 adam Exp $
+# $NetBSD: Makefile,v 1.3 2020/04/27 19:03:26 adam Exp $
 
-DISTNAME=      autograd-1.1.13
+DISTNAME=      autograd-1.3
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=a/autograd/}
@@ -10,10 +10,10 @@ HOMEPAGE=   https://github.com/HIPS/autogr
 COMMENT=       Efficiently computes derivatives of numpy code
 LICENSE=       mit
 
-USE_LANGUAGES= # none
-
 DEPENDS+=      ${PYPKGPREFIX}-future>=0.15.2:../../devel/py-future
-DEPENDS+=      ${PYPKGPREFIX}-numpy>=1.12:../../math/py-numpy
+
+USE_LANGUAGES= # none
 
 .include "../../lang/python/egg.mk"
+.include "../../math/py-numpy/buildlink3.mk"
 .include "../../mk/bsd.pkg.mk"
Index: pkgsrc/math/py-autograd/PLIST
diff -u pkgsrc/math/py-autograd/PLIST:1.2 pkgsrc/math/py-autograd/PLIST:1.3
--- pkgsrc/math/py-autograd/PLIST:1.2   Sun Oct  8 20:22:46 2017
+++ pkgsrc/math/py-autograd/PLIST       Mon Apr 27 19:03:26 2020
@@ -1,4 +1,4 @@
-@comment $NetBSD: PLIST,v 1.2 2017/10/08 20:22:46 adam Exp $
+@comment $NetBSD: PLIST,v 1.3 2020/04/27 19:03:26 adam Exp $
 ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
 ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
 ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
@@ -7,18 +7,33 @@ ${PYSITELIB}/${EGG_INFODIR}/top_level.tx
 ${PYSITELIB}/autograd/__init__.py
 ${PYSITELIB}/autograd/__init__.pyc
 ${PYSITELIB}/autograd/__init__.pyo
-${PYSITELIB}/autograd/container_types.py
-${PYSITELIB}/autograd/container_types.pyc
-${PYSITELIB}/autograd/container_types.pyo
-${PYSITELIB}/autograd/convenience_wrappers.py
-${PYSITELIB}/autograd/convenience_wrappers.pyc
-${PYSITELIB}/autograd/convenience_wrappers.pyo
+${PYSITELIB}/autograd/builtins.py
+${PYSITELIB}/autograd/builtins.pyc
+${PYSITELIB}/autograd/builtins.pyo
 ${PYSITELIB}/autograd/core.py
 ${PYSITELIB}/autograd/core.pyc
 ${PYSITELIB}/autograd/core.pyo
-${PYSITELIB}/autograd/errors.py
-${PYSITELIB}/autograd/errors.pyc
-${PYSITELIB}/autograd/errors.pyo
+${PYSITELIB}/autograd/differential_operators.py
+${PYSITELIB}/autograd/differential_operators.pyc
+${PYSITELIB}/autograd/differential_operators.pyo
+${PYSITELIB}/autograd/extend.py
+${PYSITELIB}/autograd/extend.pyc
+${PYSITELIB}/autograd/extend.pyo
+${PYSITELIB}/autograd/misc/__init__.py
+${PYSITELIB}/autograd/misc/__init__.pyc
+${PYSITELIB}/autograd/misc/__init__.pyo
+${PYSITELIB}/autograd/misc/fixed_points.py
+${PYSITELIB}/autograd/misc/fixed_points.pyc
+${PYSITELIB}/autograd/misc/fixed_points.pyo
+${PYSITELIB}/autograd/misc/flatten.py
+${PYSITELIB}/autograd/misc/flatten.pyc
+${PYSITELIB}/autograd/misc/flatten.pyo
+${PYSITELIB}/autograd/misc/optimizers.py
+${PYSITELIB}/autograd/misc/optimizers.pyc
+${PYSITELIB}/autograd/misc/optimizers.pyo
+${PYSITELIB}/autograd/misc/tracers.py
+${PYSITELIB}/autograd/misc/tracers.pyc
+${PYSITELIB}/autograd/misc/tracers.pyo
 ${PYSITELIB}/autograd/numpy/__init__.py
 ${PYSITELIB}/autograd/numpy/__init__.pyc
 ${PYSITELIB}/autograd/numpy/__init__.pyo
@@ -28,24 +43,30 @@ ${PYSITELIB}/autograd/numpy/fft.pyo
 ${PYSITELIB}/autograd/numpy/linalg.py
 ${PYSITELIB}/autograd/numpy/linalg.pyc
 ${PYSITELIB}/autograd/numpy/linalg.pyo
-${PYSITELIB}/autograd/numpy/numpy_extra.py
-${PYSITELIB}/autograd/numpy/numpy_extra.pyc
-${PYSITELIB}/autograd/numpy/numpy_extra.pyo
-${PYSITELIB}/autograd/numpy/numpy_grads.py
-${PYSITELIB}/autograd/numpy/numpy_grads.pyc
-${PYSITELIB}/autograd/numpy/numpy_grads.pyo
+${PYSITELIB}/autograd/numpy/numpy_boxes.py
+${PYSITELIB}/autograd/numpy/numpy_boxes.pyc
+${PYSITELIB}/autograd/numpy/numpy_boxes.pyo
+${PYSITELIB}/autograd/numpy/numpy_jvps.py
+${PYSITELIB}/autograd/numpy/numpy_jvps.pyc
+${PYSITELIB}/autograd/numpy/numpy_jvps.pyo
+${PYSITELIB}/autograd/numpy/numpy_vjps.py
+${PYSITELIB}/autograd/numpy/numpy_vjps.pyc
+${PYSITELIB}/autograd/numpy/numpy_vjps.pyo
+${PYSITELIB}/autograd/numpy/numpy_vspaces.py
+${PYSITELIB}/autograd/numpy/numpy_vspaces.pyc
+${PYSITELIB}/autograd/numpy/numpy_vspaces.pyo
 ${PYSITELIB}/autograd/numpy/numpy_wrapper.py
 ${PYSITELIB}/autograd/numpy/numpy_wrapper.pyc
 ${PYSITELIB}/autograd/numpy/numpy_wrapper.pyo
 ${PYSITELIB}/autograd/numpy/random.py
 ${PYSITELIB}/autograd/numpy/random.pyc
 ${PYSITELIB}/autograd/numpy/random.pyo
-${PYSITELIB}/autograd/optimizers.py
-${PYSITELIB}/autograd/optimizers.pyc
-${PYSITELIB}/autograd/optimizers.pyo
 ${PYSITELIB}/autograd/scipy/__init__.py
 ${PYSITELIB}/autograd/scipy/__init__.pyc
 ${PYSITELIB}/autograd/scipy/__init__.pyo
+${PYSITELIB}/autograd/scipy/integrate.py
+${PYSITELIB}/autograd/scipy/integrate.pyc
+${PYSITELIB}/autograd/scipy/integrate.pyo
 ${PYSITELIB}/autograd/scipy/linalg.py
 ${PYSITELIB}/autograd/scipy/linalg.pyc
 ${PYSITELIB}/autograd/scipy/linalg.pyo
@@ -61,18 +82,39 @@ ${PYSITELIB}/autograd/scipy/special.pyo
 ${PYSITELIB}/autograd/scipy/stats/__init__.py
 ${PYSITELIB}/autograd/scipy/stats/__init__.pyc
 ${PYSITELIB}/autograd/scipy/stats/__init__.pyo
+${PYSITELIB}/autograd/scipy/stats/beta.py
+${PYSITELIB}/autograd/scipy/stats/beta.pyc
+${PYSITELIB}/autograd/scipy/stats/beta.pyo
+${PYSITELIB}/autograd/scipy/stats/chi2.py
+${PYSITELIB}/autograd/scipy/stats/chi2.pyc
+${PYSITELIB}/autograd/scipy/stats/chi2.pyo
 ${PYSITELIB}/autograd/scipy/stats/dirichlet.py
 ${PYSITELIB}/autograd/scipy/stats/dirichlet.pyc
 ${PYSITELIB}/autograd/scipy/stats/dirichlet.pyo
+${PYSITELIB}/autograd/scipy/stats/gamma.py
+${PYSITELIB}/autograd/scipy/stats/gamma.pyc
+${PYSITELIB}/autograd/scipy/stats/gamma.pyo
 ${PYSITELIB}/autograd/scipy/stats/multivariate_normal.py
 ${PYSITELIB}/autograd/scipy/stats/multivariate_normal.pyc
 ${PYSITELIB}/autograd/scipy/stats/multivariate_normal.pyo
 ${PYSITELIB}/autograd/scipy/stats/norm.py
 ${PYSITELIB}/autograd/scipy/stats/norm.pyc
 ${PYSITELIB}/autograd/scipy/stats/norm.pyo
+${PYSITELIB}/autograd/scipy/stats/poisson.py
+${PYSITELIB}/autograd/scipy/stats/poisson.pyc
+${PYSITELIB}/autograd/scipy/stats/poisson.pyo
 ${PYSITELIB}/autograd/scipy/stats/t.py
 ${PYSITELIB}/autograd/scipy/stats/t.pyc
 ${PYSITELIB}/autograd/scipy/stats/t.pyo
+${PYSITELIB}/autograd/test_util.py
+${PYSITELIB}/autograd/test_util.pyc
+${PYSITELIB}/autograd/test_util.pyo
+${PYSITELIB}/autograd/tracer.py
+${PYSITELIB}/autograd/tracer.pyc
+${PYSITELIB}/autograd/tracer.pyo
 ${PYSITELIB}/autograd/util.py
 ${PYSITELIB}/autograd/util.pyc
 ${PYSITELIB}/autograd/util.pyo
+${PYSITELIB}/autograd/wrap_util.py
+${PYSITELIB}/autograd/wrap_util.pyc
+${PYSITELIB}/autograd/wrap_util.pyo
Index: pkgsrc/math/py-autograd/distinfo
diff -u pkgsrc/math/py-autograd/distinfo:1.2 pkgsrc/math/py-autograd/distinfo:1.3
--- pkgsrc/math/py-autograd/distinfo:1.2        Sun Oct  8 20:22:46 2017
+++ pkgsrc/math/py-autograd/distinfo    Mon Apr 27 19:03:26 2020
@@ -1,6 +1,6 @@
-$NetBSD: distinfo,v 1.2 2017/10/08 20:22:46 adam Exp $
+$NetBSD: distinfo,v 1.3 2020/04/27 19:03:26 adam Exp $
 
-SHA1 (autograd-1.1.13.tar.gz) = f19d160875032bbdb8f993bb52bd6cca72e6d9af
-RMD160 (autograd-1.1.13.tar.gz) = b70b5229408ee6bc147f7192f794286a5715fe39
-SHA512 (autograd-1.1.13.tar.gz) = cff4fb229de2b4800ddb93fd8efbec360c38ec4a4f0c55bd8fa7eec83a922bf395b1365eaeaa3655ab8702eaad9ef179d4ed041cc891ee69c6e30e129132dbb3
-Size (autograd-1.1.13.tar.gz) = 26641 bytes
+SHA1 (autograd-1.3.tar.gz) = 9dc88df4078c111f45731e0934cf8c0fd9a87723
+RMD160 (autograd-1.3.tar.gz) = 4566e05e7ca36c37b3b804d60b7610cc8b3c04ef
+SHA512 (autograd-1.3.tar.gz) = 6cffa84dc489cb4eca2e2ae2a0866cfeccc3ad1717f90b582fdb0530d8f1a4cc9cc6801db6ad1584587b3df84826cb2b6f5d08f665038f6978ab1451042a8195
+Size (autograd-1.3.tar.gz) = 38257 bytes

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