| Port details |
- py-algopy Algorithmic Differentiation (AD) and Taylor polynomial approximations
- 0.5.7_2 math
 =0      0.5.7_2Version of this port present on the latest quarterly branch. - Maintainer: yuri@FreeBSD.org
- Port Added: 2018-04-17 22:25:07
- Last Update: 2021-04-07 08:09:01
- Commit Hash: cf118cc
- Also Listed In: python
- License: BSD3CLAUSE
- Description:
- The purpose of AlgoPy is the evaluation of higher-order derivatives in the
forward and reverse mode of Algorithmic Differentiation (AD) of functions
that are implemented as Python programs. Particular focus are functions that
contain numerical linear algebra functions as they often appear in statistically
motivated functions. The intended use of AlgoPy is for easy prototyping at
reasonable execution speeds. More precisely, for a typical program a directional
derivative takes order 10 times as much time as time as the function evaluation.
This is approximately also true for the gradient.
WWW: https://pythonhosted.org/algopy/
- SVNWeb : git : Homepage
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}algopy>0:math/py-algopy@${PY_FLAVOR}
- To install the port: cd /usr/ports/math/py-algopy/ && make install clean
- To add the package, run one of these commands:
- pkg install math/py-algopy
- pkg install py38-algopy
NOTE: This is a Python port. Instead of py38-algopy listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py38-algopy
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1524003219
SHA256 (algopy-0.5.7.zip) = 6955f676fce3858fa3585cb7f3f7e1796cb93377d24016419b6699291584b7df
SIZE (algopy-0.5.7.zip) = 189516
- Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py38-setuptools>0 : devel/py-setuptools@py38
- python3.8 : lang/python38
- Runtime dependencies:
-
- py38-numpy>=1.16,1<1.20,1 : math/py-numpy@py38
- py38-setuptools>0 : devel/py-setuptools@py38
- python3.8 : lang/python38
- There are no ports dependent upon this port
- Configuration Options:
- No options to configure
- Options name:
- math_py-algopy
- USES:
- python:3.6+ zip
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 6
| Commit History - (may be incomplete: see SVNWeb link above for full details) |
| Date | By | Description |
|---|
07 Apr 2021 08:09:01
  0.5.7_2
|
mat |
One more small cleanup, forgotten yesterday.
Reported by: lwhsu |
06 Apr 2021 14:31:07
0.5.7_2
|
mat |
Remove # $FreeBSD$ from Makefiles. |
28 Dec 2020 23:02:15
  0.5.7_2
|
antoine |
Drop python 2.7 support from a few ports
With hat: portmgr |
26 Jul 2019 20:46:57
0.5.7_2
|
gerald |
Bump PORTREVISION for ports depending on the canonical version of GCC
as defined in Mk/bsd.default-versions.mk which has moved from GCC 8.3
to GCC 9.1 under most circumstances now after revision 507371.
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using Mk/bsd.octave.mk which in turn features USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang,
c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib
plus, everything INDEX-11 shows with a dependency on lang/gcc9 now.
PR: 238330 |
12 Dec 2018 01:35:36
0.5.7_1
|
gerald |
Bump PORTREVISION for ports depending on the canonical version of GCC
defined via Mk/bsd.default-versions.mk which has moved from GCC 7.4 t
GCC 8.2 under most circumstances.
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using Mk/bsd.octave.mk which in turn features USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang,
c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib
plus, as a double check, everything INDEX-11 showed depending on lang/gcc7.
PR: 231590 |
17 Apr 2018 22:24:52
0.5.7
|
yuri |
New port: math/py-algopy: Algorithmic Differentiation (AD) and Taylor polynomial
approximations |
Number of commits found: 6
|
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