I'm not able to install the python library for mesos 0.28 (Latest as of 2016/3/31)
For previous versions I know you could just install the egg file with easy_install, however I'm not able to find such an egg file for mesos 0.28
Previously I recall there was a link to the egg files for each version in the Download page, however now it is nowhere to be found.
Only mesos.interface can be installed via pypi, but I was able to find various python eggs with mesos.native at the following locations:
http://downloads.mesosphere.io/master/ubuntu/14.04/mesos-0.26.0-py2.7-linux-x86_64.egg
http://downloads.mesosphere.io/master/centos/7/mesos-0.22.0-py2.7-linux-x86_64.egg
http://downloads.mesosphere.io/master/ubuntu/12.04/mesos_0.16.0-rc2_amd64.egg
Give one of those a shot, or tinker with one of them to get the version/platform you need. That's what I'm doing until I hear back from mesosphere support.
The download links to pythong eggs have been removed from the site but you can still get them from PyPI : https://pypi.python.org/pypi/mesos.interface
Hope that helps.
[EDIT]
Forgot to mention that mesos.native is packaged with the mesos packages you get from mesosphere repo.
Related
is there a way to install rstan on a Gentoo amd64 system? rstan depends on v8-r (https://cran.r-project.org/web/packages/V8/index.html), which depends on a v8 installation. I haven't found a working v8 ebuild, v8 failed to compile with didactic-duck ebuilds. I also tried nodejs, without success. Compiling v8 from source failed with "unsupported linux distro".
Thanks, Sven
UPDATE: as of the latest version of V8 you can use:
# For Linux: download libv8 during installation
Sys.setenv(DOWNLOAD_STATIC_LIBV8=1)
install.packages("V8")
This way, you can install the V8 package on any x64 Linux system, without separate system requirements. See also this post: https://ropensci.org/technotes/2020/11/12/installing-v8/
Original answer
The R package V8 simply needs libv8 headers and shared library. The best solution is to use the V8 engine from NodeJS, but this can only be done if NodeJS itself was built with the --shared option. I don't use Gentoo myself, but from the above I guess this is currently not the case.
You have to talk to the maintainer of the nodejs package in Gentoo, and ask them to enable shared libnode. Below some references about this from Fedora and Debian, that might get you started:
Fedora: https://src.fedoraproject.org/rpms/nodejs/pull-request/4 and https://src.fedoraproject.org/rpms/R-V8
Debian: https://packages.debian.org/bullseye/libnode-dev and https://packages.debian.org/bullseye/r-cran-v8
If you can't get this to work, you could also build libv8 yourself, but I have to warn you this is pretty painful because upstream changes their API and build system every few weeks.
Some working examples are:
Homebrew: https://github.com/homebrew/homebrew-core/blob/master/Formula/v8.rb
Arch: https://aur.archlinux.org/packages/v8-r/
Same problem here.
I am afraid I don't have an answer myself. If it helps, the furthest that I have gone is to install "nodejs" and then manually try to install V8 from source:
R CMD INSTALL --configure-vars='INCLUDE_DIR=/usr/include/node/deps/v8/include LIB_DIR=/usr/include/node/libplatform' V8_3.2.0.tar.gz
But CRAN complains about "cannot find -lv8_libplatform", and with other combinations of INCLUDE_DIR and LIB_DIR I have not succeeded.
I have also tried several ebuilds from didactic-duck and even one from petkovich.
Also, installing from source seems to be impossible.
What "nodejs" install is the following, in case someone else has an idea about how to combine INCLUDE_DIR and LIB_DIR, or at least to enlight whether with nodejs is enough, or a full v8 installation is needed:
/usr/include/node/v8-fast-api-calls.h
/usr/include/node/v8-internal.h
/usr/include/node/v8-platform.h
/usr/include/node/v8-profiler.h
/usr/include/node/v8-util.h
/usr/include/node/v8-value-serializer-version.h
/usr/include/node/v8-version-string.h
/usr/include/node/v8-version.h
/usr/include/node/v8-wasm-trap-handler-posix.h
/usr/include/node/v8-wasm-trap-handler-win.h
/usr/include/node/v8.h
/usr/include/node/v8config.h
/usr/include/node/deps/v8
/usr/include/node/deps/v8/include
/usr/include/node/libplatform/v8-tracing.h
Thank you very much.
How would I install things on Pepper, since I don't know what package manager it uses. I usually use apt on my Ubuntu machine and want to install some packages on Pepper. I'm not sure what package manager Pepper has (if any) and want to install some packages, but also only know the name of the package using apt (not sure if the package name is the same on other package managers). And if possible, would I be able to install apt on Pepper. Thanks.
Note: From the research I've done, Pepper is using NaoQi which is based off Gentoo which uses portage.
You don't have root access on Pepper, which limits what you can install (and apt isn't on the robot anyway).
Some possibilities:
Include your content in Choregraphe projects - when you install a package, the whole directory structure is installed (more exactly, what's listed in the .pml); so you can put arbitrary files on your robot, and you can usually include whatever dependencies your code needs.
Install python packages with pip.
In NAOqi 2.5, a slightly older version of pip is installed that will not always work out of the box; I recommend upgrading it:
pip install --user --upgrade pip
... you can then use the upgraded pip to install other packages, using the upgraded pip, and always --user:
/home/nao/.local/bin/pip install --user whatever-package-you-need
Note however that if you do this and use your packages in your code running on Pepper, that code won't work on other robots until you do pip on them, which is why I usually only do this for tests; for production code I prefer packaging all dependencies in my app's package.
As a workaround if you need to install software (or just newer versions of software) using Gentoo Prefix is an option.
Gentoo Prefix builds a Gentoo OS on any location (no need of root, can be any folder). It includes it's own portage (package manager) to install new software.
I maintain a few projects to work with Pepper and use "any" software I want. Note that they are built for 64b (amd64) and 32b (x86) even though for Pepper only the 32b matter.
gentoo_prefix_ci and gentoo_prefix_ci_32b Which builds nightly the bootstrap of the Gentoo Prefix system. This is a process that takes a while to compile (3-6h depending on your machine) and that breaks from time to time (as upstream packages are updated and bugs are found, Gentoo is a rolling release distribution). Every night updated binary images ready to use can be found in the Releases section.
For ROS users that want to run it on the robot, based on the previous work, I maintain also ros_overlay_on_gentoo_prefix and ros_overlay_on_gentoo_prefix_32b. They provide nightly builds with binary releases of ROS Kinetic and ROS Melodic over Gentoo Prefix using ros-overlay. You can find ready-to-use 'ros_base' and 'desktop' releases.
For purposes related to the RoboCup#Home Social Standard Platform League where the Pepper robot is used I also maintain a specific build that contains a lot of additional software. This project is called pepper_os and it builds 270+ ROS packages, a lot of Python packages (250+ including Theano, dlib, Tensorflow, numpy...) and all the necessary dependencies for these to build (750+ packages). Note that the base image (it's built with Docker) is the actual Pepper 2.5.5.5 image, so it can be used for debugging as it if it was in the real robot (although without sensors and such).
Maybe this approach, or these projects, are useful.
The package manager on pepper is disabled. But you can copy the files to the robot and write your own service that imports any package you might need.
As a supplement on importing:
http://www.about-robots.com/how-to-import-python-files-in-your-pepper-apps.html
To get rid of error :
" SSL3_GET_SERVER_CERTIFICATE:certificate verify failed
".
If you use python and requests package, just add verify=False at the end of your parameters.
r=requests.get(URL,params,header,verify=False)
Works with my Pepper
To get rid of
InsecurePlatformWarning: A true SSLContext object is not available.
install
/home/nao/.local/bin/pip install --user requests[security]
To get rid of:
CryptographyDeprecationWarning: Support for your Python version is deprecated.
install
/home/nao/.local/bin/pip install --user cryptography==2.2.2
If it based on Gentoo maybe we could try to install portage with pip.
pip install portage
Just a thought.
this is my first question on StackOverflow. Usually I find a solution from someone else's question but this time the internet does not seem to have many answers.
So I'm getting this message after using go get and every time I try and compile and run my application.
# pkg-config --cflags rdkafka
Package rdkafka was not found in the pkg-config
search path. Perhaps you should add the directory containing `rdkafka.pc'
to the PKG_CONFIG_PATH environment variable Package 'rdkafka', required by
'virtual:world', not found
I searched the issues on the github page for the repo and found one thread related to this, but none of those solutions seem to work for me. I'm running fedora 26, I have go 1.9 installed.
I've tried:
dnf install
Compiling from source as instructed on their README
yum install because I became desperate.
Downloading and installing from the RPM
Has anyone come accross this and maybe have an idea of how I can fix it?
I suggest that you install librdkafka from Confluent's repository as described in their documentation. But I think that you'll need to build librdkafka from source RPMs, like I'm doing for Ubuntu.
So I got it working thanks to Remi. Adding the repo from https://rpms.remirepo.net/ (I used the one for Fedora 26). Then just installing it using:
sudo dnf --enablerepo=remi install librdkafka-devel
Jython Package installation issue, using pip
Hi, I have installed Jython2.7 configured with pydev in eclipse neon, also configured python 3.6 package
I am able to install packages for python using pip installer?
pip install "packagename"
Below are some of the packages in python/Lib/Site-packages directory
I was able to install all the packages
How do I use pip installer to install packages for jython?
I tried to install Jip package with
jython install setup.py
The binary File got installed in the Jython/Lib/Site-packages folder
However, I am not able to use it.
where and how do I get Jython package binaries like jip?
Also, Please let me know how to search jython packages?
Also, How to make pip install library packages in jython?
Any other configuration like jython home, etc that should be made?
This answer is going to be really generic but I just recently have slogged my way through the setup for jython/jip/pip and here's roughly what I had to do.
Firstly, I'm running Windows 7 64 Bit from behind a proxy (work machine.)
Had to install jython 2.7.0 instead of 2.7.1 because (I think anyway) 2.7.1 requires admin privileges which I don't have on my work PC.
Pip didn't install correctly during the Jython installation and I spent an obscene amount of time trying to get it installed and functioning as I knew it from my cpython days. NOTE: Just because you get pip installed, doesn't mean you can use any package on a python package repo. As of 2.7.0, Jython doesn't have end to end capability to interpret/compile some libraries that rely on certain python wrappers of native OS function calls. I believe 2.7.1 makes solid progress in the direction of supporting all needed native calls but don't quote me on that. For example, I tried to use wxPython to make a simple GUI to test my jython install. Trying to install it from pip kept causing really non-specific error info that took me a lot of time to figure out that the cause was jython simply couldn't compile the wxPython source so beware.
I had to set environment variables 'http_proxy' and 'https_proxy' in the form of http://proxyhosturl:port and https://proxyhosturl:port respectively to get out from behind the proxies without having to invoke pip with the proxy switch every time I called it.
To actually install pip, have a look here. These instructions are for Python and Linux/Unix but the principle is roughly the same. Just use jython -m instead of python -m and ignore the '$' at the start of each command line.
Also be sure to CD to your python_home/bin folder when invoking the ez_install exe.
If that doesn't work (didn't for me), try using get-pip.py script with these instructions https://pip.pypa.io/en/stable/installing/ (remember jython instead of python etc.). Download it, cd to the download location and follow the noted install steps. Worth noting is about half way down the install instructions where it details installing from local archives (source/binary zip or tar.gz archives of pip and setuptools as better described here: https://packaging.python.org/tutorials/installing-packages/#installing-from-local-archives).
The links to the bin archives of pip and setuptools are here:
https://pypi.python.org/pypi/setuptools
https://pypi.python.org/pypi/pip
It may also be worth making sure that your PATH environment variable has the jython/bin path in the variable value. The jython installer should do this but, again, mine did not.
If all goes well, you should be able to invoke pip with the --version switch and if it prints a line with the installed pip version info then you should be good to go
Another quirky issue I had was I could invoke a function of pip one time and any subsequent times I would get a stack trace ending with something along the lines of an object not having a certain property. I fixed that by finding my temp directory by opening a windows explorer instance and typing %TEMP% in the address bar and hitting enter, it should take you to a subdir of your AppData folder and there you may see a folder with the name of the package you were trying to install and the text "_pip" somewhere in the directory name. Delete the directory and try the pip install command again. I had to do this + invoke pip install pip -U to update my install to the latest version. Then pip began behaving correctly in my instance.
pip search numpy (or your library name) will generate a list of results with the same logic it uses to locate your desired package when you call pip install but, again, just because it returns a matching package doesn't mean it will compile when you install it (numpy doesn't work because of the missing java to C native function calls I described earlier.) The trade off is that you can import code artifacts from Java JAR files in your Jython script files and leverage their functionality with relative ease. Between the public Java APIs available and the python packages that work with the jython interpretor, you can (in my experience) come up with a way to accomplish your task. See the following info on JIP, Maven and IDEs.
IDE and jython integration (Eclipse)
- If you are stuck using Eclipse (like me) it actually has pretty decent support for python development. Install the PyDev plugin for Eclipse from Help -> Install Software. Put in this URL https://marketplace.eclipse.org/content/pydev-python-ide-eclipse, hit tab, and select the PyDev plugin and hit 'finish.'
- Setup the jython interpretor info from Windows -> Preferences -> PyDev. Provide the path to your jython.jar file.
- You should now be able to use File -> New PyDev project to create a basic python project and configure it to use your version of Jython and Java.
Brief Overview of Jip and Maven
- jip is a jython package that is invoked very similarly to pip but instead will download JAR files from the Maven Central Repository instead of python packages from pypi.com, for example. See the install instructions described here. Note the install procedure for a global jip install which differ from just pip install jip. https://pypi.python.org/pypi/jip/
- I never got jip to work exactly as I wished because there's not a ton of documentation on it outside of what I already linked. However, if you install a JAR using jip, you have to go to your project in Eclipse and actually add the JARs themselves to your PYTHONPATH in order for import statements and editing to have intellisense and so that you don't get a classnotfound exception at runtime. See following screen shot.
- There is a JIP config file that you can use similar to the pip config ini file but I have yet to find any exhaustive documentation on it's setup.
Note in the above screen shot the first entry in the External libraries entries. By default, pip places installed packages in that directory so to enable eclipse to find them, you need to also ensure that location is entered.
In Conclusion
- I have more to add to this answer and I will do so as soon as possible. In the meantime, see this example project I've loaded into github.
https://github.com/jheidlage1222/jython_java_integration_example
It shows basic config and how to interface with JARs from python code. I used the apache httpcomponents library as an example. Good luck amigo.
It's late and I should go to bed and maybe that's why I can't figure this out. I'm on a fedora-13 machine and I just ran
yum install gambit-c
I installed it because I want to follow along in a schemed text book.
but now that it's installed, how do I start the scheme interpreter??
It looks from the RPM listing that the binaries are named gsi, gsix, and gsc, all in /usr/bin. I suspect that gsi is the interpreter.
For more details, there's also the manual entry for gsi.
BTW: I don't know about the Fedora RPM, but I found that the Ubuntu repository's Gambit-C was quite outdated (4.0-ish), with missing features like simple compilation of stand-alone executables. The most recent version is 4.6. If your RPM's version is a few decimal places behind, I'd suggest just installing from source; it's a pretty standard configure -> make -> make install sequence. Just remember the following option when running configure:
./configure --enable-single-host
This speeds things up quite a bit.