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Port details
py-astroML Tools for machine learning and data mining in Astronomy
1.0.2_1 astro on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout 1.0.2_1Version of this port present on the latest quarterly branch.
Maintainer: wen@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2023-03-04 10:39:05
Last Update: 2023-06-27 19:34:34
Commit Hash: 3d9a815
License: BSD3CLAUSE
WWW:
https://www.astroml.org/
Description:
AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib, and distributed under the BSD license. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.
Homepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

Manual pages:
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist
There is no configure plist information for this port.
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}astroML>0:astro/py-astroML@${PY_FLAVOR}
To install the port:
cd /usr/ports/astro/py-astroML/ && make install clean
To add the package, run one of these commands:
  • pkg install astro/py-astroML
  • pkg install py39-astroML
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py39-astroML listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py39-astroML
Package flavors (<flavor>: <package>)
  • py39: py39-astroML
distinfo:
TIMESTAMP = 1677925316 SHA256 (astroML-1.0.2.post1.tar.gz) = 45188a7a88a36ca3ec5a3aa04e5fa227f42d17415a6e168fb523375c1aabe291 SIZE (astroML-1.0.2.post1.tar.gz) = 115119

Packages (timestamps in pop-ups are UTC):
py39-astroML
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest--------
FreeBSD:13:quarterly------1.0.2_1-
FreeBSD:14:latest1.0.2_11.0.2_1--1.0.2_1---
FreeBSD:14:quarterly1.0.2_11.0.2_1--1.0.2_1-1.0.2_1-
FreeBSD:15:latest1.0.2_11.0.2_1n/a-n/a-1.0.2_1-
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py39-setuptools>=63.1.0 : devel/py-setuptools@py39
  2. python3.9 : lang/python39
Test dependencies:
  1. python3.9 : lang/python39
Runtime dependencies:
  1. py39-numpy>=1.16,1<1.25,1 : math/py-numpy@py39
  2. py39-scipy>=0.19 : science/py-scipy@py39
  3. py39-matplotlib>=3.0 : math/py-matplotlib@py39
  4. py39-scikit-learn>=0.18 : science/py-scikit-learn@py39
  5. py39-astropy>=3.0 : astro/py-astropy@py39
  6. py39-setuptools>=63.1.0 : devel/py-setuptools@py39
  7. python3.9 : lang/python39
There are no ports dependent upon this port

Configuration Options:
No options to configure
Options name:
astro_py-astroML
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/a/astroML/
  2. https://pypi.org/packages/source/a/astroML/
Collapse this list.

Number of commits found: 3

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
1.0.2_1
27 Jun 2023 19:34:34
commit hash: 3d9a815d9c5acbb71f4bb07738bdeab4879feacbcommit hash: 3d9a815d9c5acbb71f4bb07738bdeab4879feacbcommit hash: 3d9a815d9c5acbb71f4bb07738bdeab4879feacbcommit hash: 3d9a815d9c5acbb71f4bb07738bdeab4879feacb files touched by this commit
Rene Ladan (rene) search for other commits by this committer
all: remove explicit versions in USES=python for "3.x+"

The logic in USES=python will automatically convert this to 3.8+ by
itself.

Adjust two ports that only had Python 3.7 mentioned but build fine
on Python 3.8 too.

finance/quickfix: mark BROKEN with PYTHON

libtool: compile:  c++ -DHAVE_CONFIG_H -I. -I../.. -I -I. -I.. -I../.. -I../C++
-DLIBICONV_PLUG -DPYTHON_MAJOR_VERSION=3 -Wno-unused-variable
-Wno-maybe-uninitialized -O2 -pipe -DLIBICONV_PLUG -fstack-protector-strong
-fno-strict-aliasing -DLIBICONV_PLUG -Wall -ansi
-Wno-unused-command-line-argument -Wpointer-arith -Wwrite-strings
-Wno-overloaded-virtual -Wno-deprecated-declarations -Wno-deprecated -std=c++0x
-MT _quickfix_la-QuickfixPython.lo -MD -MP -MF
.deps/_quickfix_la-QuickfixPython.Tpo -c QuickfixPython.cpp  -fPIC -DPIC -o
.libs/_quickfix_la-QuickfixPython.o
warning: unknown warning option '-Wno-maybe-uninitialized'; did you mean
'-Wno-uninitialized'? [-Wunknown-warning-option]
QuickfixPython.cpp:175:11: fatal error: 'Python.h' file not found
          ^~~~~~~~~~
1 warning and 1 error generated.

Reviewed by:	portmgr, vishwin, yuri
Differential Revision:	<https://reviews.freebsd.org/D40568>
1.0.2_1
23 Apr 2023 09:09:58
commit hash: 8d3e020ed032a8db00208994d0db646de7dc6f5bcommit hash: 8d3e020ed032a8db00208994d0db646de7dc6f5bcommit hash: 8d3e020ed032a8db00208994d0db646de7dc6f5bcommit hash: 8d3e020ed032a8db00208994d0db646de7dc6f5b files touched by this commit
Gerald Pfeifer (gerald) search for other commits by this committer
*: Bump PORTREVISIONs for math/mpc update to 1.3.1
1.0.2
04 Mar 2023 10:37:21
commit hash: 781b4dae6fc22fc3abc1f7fd0b2ca62cf228f8d0commit hash: 781b4dae6fc22fc3abc1f7fd0b2ca62cf228f8d0commit hash: 781b4dae6fc22fc3abc1f7fd0b2ca62cf228f8d0commit hash: 781b4dae6fc22fc3abc1f7fd0b2ca62cf228f8d0 files touched by this commit
Wen Heping (wen) search for other commits by this committer
astro/py-astroML: Add new port

AstroML is a Python module for machine learning and data mining built on
numpy, scipy, scikit-learn, and matplotlib, and distributed under the BSD
license. It contains a growing library of statistical and machine learning
routines for analyzing astronomical data in python, loaders for several
open astronomical datasets, and a large suite of examples of analyzing and
visualizing astronomical datasets.

Number of commits found: 3