This affects versions of the package pydash before 6.0.0. A number of pydash methods such as pydash.objects.invoke() and pydash.collections.invoke_map() accept dotted paths (Deep Path Strings) to target a nested Python object, relative to the original source object. These paths can be used to target internal class attributes and dict items, to retrieve, mod…
python: bump all USE_PYTHON=distutils consumers after RUN_DEPENDS removal
Any missed ports, feel free to bump.
Any ports that need setuptools at runtime can have the devel/py-setuptools
manually added back to RUN_DEPENDS, but understand that this practice
is deprecated; see CHANGES for details.
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>
Remove WWW entries moved into port Makefiles
Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.
This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.
Approved by: portmgr (tcberner)
Add WWW entries to port Makefiles
It has been common practice to have one or more URLs at the end of the
ports' pkg-descr files, one per line and prefixed with "WWW:". These
URLs should point at a project website or other relevant resources.
Access to these URLs required processing of the pkg-descr files, and
they have often become stale over time. If more than one such URL was
present in a pkg-descr file, only the first one was tarnsfered into
the port INDEX, but for many ports only the last line did contain the
port specific URL to further information.
There have been several proposals to make a project URL available as
a macro in the ports' Makefiles, over time.
This commit implements such a proposal and moves one of the WWW: entries
of each pkg-descr file into the respective port's Makefile. A heuristic
attempts to identify the most relevant URL in case there is more than
one WWW: entry in some pkg-descr file. URLs that are not moved into the
Makefile are prefixed with "See also:" instead of "WWW:" in the pkg-descr
files in order to preserve them.
There are 1256 ports that had no WWW: entries in pkg-descr files. These
ports will not be touched in this commit.
The portlint port has been adjusted to expect a WWW entry in each port
Makefile, and to flag any remaining "WWW:" lines in pkg-descr files as
deprecated.
Approved by: portmgr (tcberner)
Update to v4.8.0
Changelog
=========
v4.8.0 (2020-06-13)
-------------------
- Support attribute based setters like ``argparse.Namespace`` in ``set_``, ``set_with``, ``update``, and ``update_with``.
- Fix exception in ``order_by`` when ``None`` used as a sort key. Thanks elijose55_!
- Fix behavior of ``pick_by`` to return the passed in argument when only one argument given. Previously, an empty dictionary was returned. Thanks elijose55_!
- Officially support Python 3.8.
Reported by: portscout
The kitchen sink of Python utility libraries for doing "stuff" in a functional way. Based on the Lo-Dash Javascript library.
Looking for a library that is more memory efficient and better suited for
large datasets? Check out fnc! It's built around generators and iteration
and has iteratee-first function signatures.
WWW: https://pypi.org/pypi/pydash/