I'm porting a data acquisition app from Windows for execution under RHEL 8. I've attempted to follow the installation directions on the National Instrument site and downloaded the 2021 Q4 drivers and installed the desired package
yum install ni-rhel8centos8-drivers-2021Q4.rpm
I couldn't find any DAQmx .so files nor includes after installing this package. The instructions here say to download and install the desired packages. I attempted to install the listed "ni-daqmx" package, but get the following:
Problem: package ni-daqmx-ef-21.3.0.49317-0+f165.x86_64 requires ni-mxdf >= 21.3.0, but none of the providers can be installed
- package ni-daqmx-21.3.0.49319-0+f167.noarch requires ni-daqmx-ef >= 21.3.0, but none of the providers can be installed
- package ni-mxdf-21.3.0.49275-0+f123.x86_64 obsoletes nimxdfi < 21.3.0.49275 provided by nimxdfi-14.2.1-f0.i386
- conflicting requests
- problem with installed package nimxdfi-14.2.1-f0.i386
(try to add '--skip-broken' to skip uninstallable packages or '--nobest' to use not only best candidate packages)
How can this be resolved, or should I just fall back to DAQmx Base 15 (which I had installed previously and removed completely)?
Related
I'm unable to install 3 of the MinGw Packages using the get-installer. It shows that the installation has failed because it can't download the compressed file from the sourceforge site.
I need the MinGw packages for use in Code Blocks. Is there any way I can fix this issue (or) if possible
Can I download the remaining files manually?
Please chip in with a suggestion/method to help with completing the installation. I'm using a Windows 7 32-bit system.
I'm having trouble installing the "car" package after upgrading R to 3.6.2 (from 3.4) on Ubuntu 16.04 due to (at least one) dependency (nloptr) that cannot be installed either. It seems to be a problem of the C++ compiler (it is using some deprecated "config" settings, however I'm lost trying to fix this).
I called the following command in R (from the terminal):
install.packages("nloptr")
Error Information:
Installing package into ‘/home/heike/R/x86_64-pc-linux-gnu-library/3.6’
(as ‘lib’ is unspecified)
--- Please select a CRAN mirror for use in this session ---
trying URL 'https://ftp.fau.de/cran/src/contrib/nloptr_1.2.1.tar.gz'
Content type 'application/x-gzip' length 2448313 bytes (2.3 MB)
==================================================
downloaded 2.3 MB
* installing source package ‘nloptr’ ...
** package ‘nloptr’ successfully unpacked and MD5 sums checked
** using staged installation
'config' variable 'CPP' is deprecated
'config' variable 'CXXCPP' is deprecated
checking whether the C++ compiler works... no
configure: error: in /tmp/RtmpPLaJFA/R.INSTALL5e5ed06eeac/nloptr': configure: error: C++ compiler cannot create executables See config.log' for more details
ERROR: configuration failed for package ‘nloptr’
Steps taken so far
changed CRAN mirror and source.list entry
uninstalled and reinstalled R 3.6.2 (also on different machine), same issue remained
System Information
OS Version: Ubuntu 16.04 (x86_64-pc-linux-gnu (64-bit))
R Version: 3.6.2 (2019-12-12)
We have done a lot of work to make nloptr installation better. In essence, you have several choices:
if the system version of the nlopt library is present, use it -- that is the easiest so try installing it via sudo apt-get install libnlopt-dev and then reinstall
if it is not found, then a download of the source and build happens, and this seems to fail on your almost four year old Ubuntu system as it is hard to support all flavours --- but this works swimmingly on newer ones (I run Ubuntu too, but currently 19.10)
there are binaries for you as, see the Ubuntu packages page -- however these may not match your current R version which is mismatches to your distro R version
dependening on where you got R from (did you install a .deb?) you could use the Michael Rutter PPAs to get a current r-cran-nloptr
All this can also be discussed in detail on the r-sig-debian list for R on Debian and Ubuntu.
Edit: In response to the comment below:
To see what package apt knows about, do apt-cache policy r-cran-nloptr. Per the link I gave above we know Ubuntu has a r-cran-nloptr for your (very old) Xenial installation. However it will clash with the very new and current R you have running. Such as the costs of mixing and matching.
To access the Rutter PPAs and its over four thousand current binaries see the fourth paragraph at the top of the Ubuntu at CRAN README
Edit 2: I may have been too pessimistic. The Rutter PPA for the current R binaries has trusty, xenial and bionic. See https://launchpad.net/~marutter/+archive/ubuntu/c2d4u3.5
I am trying to figure out how to install c++ 14.0 offline using suggestions from other Stackoverflow Q&A. But none of them seem to work. I need it for Cython. I don't want to install the binary version. I installed suggested redistributables and then restarted the server for paths to be applied properly but when I pip install cython.tar it still does not find the c++ 14.0 dependency. Any help would be greatly appreciated.
The following are links to what I have installed based on other Stackoverflow answers:
Microsoft Build Tools 2015: https://www.microsoft.com/en-za/download/details.aspx?id=48159
Windows 10 SDK ISO: https://developer.microsoft.com/en-us/windows/downloads/windows-10-sdk
Then I restarted the windows server and I even ran the following command suggested by some other answers:
python -m pip install setuptools --upgrade
After months of researching and trying all sorts of methods the following has worked:
Step 1: Download the build_tools.exe of your choice
Step 2: Make sure you are on a machine with the exact same environment you are going to install the c++ dependencies on. i.e. If server is windows server 2016 64bit run a vm to emulate that exact environment.
Step 3: Goto this site to get a list of all possible components you can download in the next step - https://learn.microsoft.com/en-us/visualstudio/install/workload-component-id-vs-community?view=vs-2019
Step 4: Follow the following instructions to get a local cache download of your choice -
https://learn.microsoft.com/en-us/visualstudio/install/create-an-offline-installation-of-visual-studio?view=vs-2019
Step 5: copy everything to the server and continue following the instructions from step 4
Step 6: restart the machine to apply paths properly
Step 7: copy rc.exe and rcdll.dll from C:\Program Files (x86)\Windows Kits\8.0\bin\x86 to C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin
Step 8: Download the latest setuptools from pypi.org
Step 9: run the following command with admin rights python -m pip install path/to/setuptools.tar --upgrade
Step 10: Restart machine again to apply paths.
Once all steps are followed c++ 14.0 (or of your choice) will be installed properly and linked with no issues.
Install chocolatey, then use their script to install Visual Studio 2019 build tools, better use following command:
choco install visualstudio2019buildtools --package-parameters "--allWorkloads --includeRecommended --includeOptional --passive --locale en-US"
After that you will see Visual Studio GUI installer where you can manually select packages needed (be aware of size)
Source: https://chocolatey.org/packages/visualstudio2019buildtools
According to this site, "Another option is to use Microsoft’s Visual C. One must then use the same version which the installed Python was compiled with." It's likely you're not on a matching version. Cython itself recommends MinGW, which is easy enough to install following the directions on their site. Just make sure the compiler and standard library are in your Windows PATH. I believe they have to be added manually, which is pretty easy in Windows 10.
download visualcppbuildtools_full.exe file and execute.
unselect all the checkboxes.
install button will be shown, click it.
restart pc and it's done.
I was following a Lynda tutorial that was showing how to add versioning to my APIs. It told me to install the NuGet package Microsoft.AspNetCore.Mvc.Versioning. I tried that and it gave me an error because it needed Microsoft.AspNetCore.Mvc.Core. So I tried to install that package, and, again, another error because it needed another package.
So I started googling for a way to make VS 2017 pull in dependencies with NuGet installation. None of the answers that I found were helpful. I’ve tried managing as packageReference and packages.config. “Allow format selection on first package install” is unchecked. And so on.
So I decided to just power through and add all the dependencies manually. I had to install 29 packages. It took me over half an hour, not including time spent chasing the cat up and down the stairs screaming at the top of my lungs.
Is there some switch I forgot to flip, or some options I didn't add, or does Microsoft really think we might want the option to install a package without installing its dependencies?
How do I get VS 2017 to install the dependencies for packages that I am trying to install?
I have reproduced this issue on my side. This is the correct behavior for nuget. That because the package which you want to install have a indirect dependency Microsoft.AspNetCore.Authentication.Abstractions (>= 2.2.0).
Note: (Version need >= 2.2.0).
However, the default package for the .net core API project also have same indirect dependency Microsoft.AspNetCore.Authentication.Abstractions (>= 2.1.1 && < 2.2.0) with version limit (>= 2.1.1 && < 2.2.0).
Note: version limit (>= 2.1.1 && < 2.2.0).
It conflict with dependency of package Microsoft.AspNetCore.Mvc.Versioning. That the reason why nuget not install the dependencies for package.
To resolve this issue, we just need to update the target framework (Right click project->Properties->Target Framework) from .NET Core 2.1 to .NET Core 2.2 for your .net core API project.
If you do not have the version 2.2.0, please download it from here and install it:
.NET SDKs for Visual Studio
After update the target framework to 2.2, the default package Microsoft.AspNetCore.App will be update to Microsoft.AspNetCore.App 2.2.0, which dependency update to Microsoft.AspNetCore.Authentication.Abstractions(>= 2.2.0 && < 2.3.0). So it compatible with the dependencies of the package Microsoft.AspNetCore.Mvc.Versioning 3.1.1.
Now I can install the package Microsoft.AspNetCore.Mvc.Versioning 3.1.1 with its dependency.
Hope this helps.
I am using a virtualenv for a django setup. I am trying to build a view that pulls data from logs and then graphs the data. Eventually I would like to have this real-time and live. If you have any recommendations on other solutions that would suit my project best, please do not hesitate to include them in the comment fields below.
I have attempted to install matplotlib from pip using pip install matplotlib.
I receive the following message:
* The following required packages can not be built:
* freetype
I then validated that it was installed
yum install freetype
Package freetype-2.3.11-14.el6_3.1.x86_64 already installed and latest version
I then found that there is a python-matplotlib which is an older version .99. However, I want to keep this inside of the virtual environment and not system wide.
find / -name *freetype*
/var/lib/yum/yumdb/f/d2807dcfe3762c0b9f8ef1d9bf0f05788e73282a-freetype-2.3.11-14.el6_3.1- x86_64
/usr/lib64/libfreetype.so.6.3.22
/usr/lib64/libfreetype.so.6
/usr/share/doc/freetype-2.3.11
I searched all over stackoverflow and only saw solutions for ubuntu which did not transfer over to centos.
Thank you for your time,
John
pip is going to compile matlibplot on your local machine, so you'll need freetype development headers installed as well.
CentOS 6+, Fedora, etc.:
$ sudo yum -y install freetype freetype-devel libpng-devel
On older operating systems (e.g. CentOS 5), you may run into a more specific freetype versioning issue with newer releases of matlibplot. If you're version agnostic, sticking with a legacy 1.3.x release will negate these dependency issues:
$ pip install matplotlib==1.3.1
Please note, you may need to downgrade your numpy to 1.8 in order to make matplotlib 1.3 work.
$ pip install numpy==1.8
Good luck!
I have just had a similar (albeit not exactly the same) situation. I'll write it up here as this page comes up among the first search results.
CentOS 5
pip install matplotlib complains about freetype
Both freetype and freetype-devel are installed.
~/.pip/pip.log provides the explanation of the problem. There is the line:
freetype: no [Requires freetype2 2.3 or later. Found 2.2.1.]
Obviously, the solution is either to upgrade freetype or downgrade matplotlib.
The second is easier (assuming I am OK with the older version).
pip install matplotlib==1.3.1 works fine.
On the matplotlib installation, this is what I did. Not sure if this is going to help you. Just followed the steps here:
http://pkgs.org/centos-6/centos-x86_64/python-matplotlib-0.99.1.2-1.el6.x86_64.rpm.html
I did not use pip, btw and have CentOS 6.4.
I had this happen to me in two different situations, see if yours is one of them:
freetype was installed, but not in the $PATH yet. Just exiting the shell and starting a new one fixed this.
I was building matplotlib from source, and trying to build from the master branch. After I switched to v1.3.x it correctly detected freetype.