I have spent two days analyzing my options without coming up with a satisfying answer to this problem: what is the best and easiest way to set up an Installer that installs two different versions of of a package based on OS version range such as 10.6 - 10.8 and >10.8.
Is there an undocumented Key in PackageInfo that could be edited?
If I create a project, is there some code I could use in the Distribution.dist file to control the process of installing one package and not the other.
I really would rather not use a post flight script with ditto to do this, it would be really ugly.
Ideally, the excellent Packages would have an option, but does not.
I found the solution with the generous help from Stephane.
Using his excellent Packages IDE, it turns out that you can configure a range of options in the Installation Type Presentation pane.
Custom Install and Option can be hidden. It is possible to identify a large range of interdependent options that are linked. You can also create JavaScript, if this is not enough.
His IDE is highly recommended!
http://s.sudre.free.fr/Software/Packages/about.html
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Julia has a package for binary decision diagrams called CUDD_jll available from JuliaHub. The package is able to install and compile on the Apple M1 architecture. It does appear to install and compile on macOS v13 running Julia v1.82. But the user interface from an older package CUDD does not appear to be compatible with CUDD_jll.
What is needed is a test or examples revealing user commands for initializing cudd, defining logical variables, and the basic operations of AND, OR, NOT.
Does anyone have such information they will share?
_jll packages are generally not meant to be used directly, they're backend dependencies that will be automatically installed when you add a package that uses them.
In this case, CUDD.jl is the package you want to install and work with. That will automatically install CUDD_jll as a dependency and use it. Actually, the current CUDD.jl doesn't yet use CUDD_jll as a backend. It instead does its own download of the CUDD library, from a source that doesn't provide M1-compatible binaries. CUDD_jll is a recent effort to change that. It does provide binaries for the M1 architecture, but is yet to be merged in as a backend.
In the meantime, you can try ] add CUDD#update-to-yggdrasil to directly add the branch that uses CUDA_jll as the backend, and see if that works for you. (Once the PR gets merged, you can remove this branch-specific dependency and ] add CUDD like before.)
The Apple M1 system is not compatible with CUDD. My mistake, sorry.
I'm looking to generate lists of apt package versions for specific packages, like sudo,ssh, etc. OSQuery seems to have an option to generate this with rpm_packages however I can find no mention of apt_packages.
I don't mean apt_sources, and the apps table appears to be a MacOS only thing.
I might be just missing a table listing versions of binaries.
Are you looking for the deb_packages table?
apps is macOS specific, as it enumerates the macOS Applications.
I made an application using GTK3 on Windows (Mingw_x64 installation of GTK) and I cannot really figure out how to make a distribution out of this. According to official documentation of PyGObject, it is possible in some way.
I already tried to make a package using setuptools, but PyGObject documentation is not saying much about this process and I was not able to configure setup correctly to make it work. PyGObject has a lot of dependecies and weird imports, that I do not know how to include.
I also tried Pyinstaller, which claims it has GTK support, and it really can pack it into executable, however it is not working. I tried these two options:
make only one file (.exe), but in this situations, it throws an error, that some file is not found (libpixbufloader-ani.dll)
create a directory with all needed files (libpixbufloader-ani.dll and other libs are included this time), but when running exe, another exeption occurs, this time Struct and 2 other libraries are missing (strangely, there is a folder that contains Struct)
Becouse of the missing files, I tried adding as many paths containing needed libraries as possible to Pyinstaller, but without success.
Does anyone have any experience with packaging GTK appliciations in Python? There is definitely a way to do this, but I am not very experienced with packaging. If needed, I can provide more information.
This is an issue that has been brought up on PyInstaller's GitHub page, as others (including myself) have experienced the same issue that you've mentioned.
The last time I tried the dev version of PyInstaller, the issue still wasn't fixed, but I managed to get a working executable by using PyInstaller to find the dependencies that my Python3/GTK3 app needed, and then I used cx_Freeze to generate the final executable.
I am trying to install the latest SVN Update OpenSceneGraph-3.1.4 on Mac OS X Mountain Lion.
Do I need to install a specific WindowSystemInterface ?
$ osgviewer cow.osg
View::setUpViewAcrossAllScreens() : Error, no WindowSystemInterface available, cannot create windows.
Viewer::realize() - failed to set up any windows.
I build and re-build many times, using CMake with or without Gui, compiling Unix files or from within Xcode, but still same problem.
Thank you!
If you'd like a more recent Mac OSG binary which includes a
user-runnable installer, OSG Frameworks supporting both 32 and 64-bit
archs, etc. you can use the one published by ARToolworks:
http://www.artoolworks.com/dist/openscenegraph/3.1.x/
It doesn't include the COLLADA (.dae) plugin but most other plugins
are present.
Regards, Phil.
It sounds like somehow the GraphicsWindow*.cpp file didn't compile and link and execute, as this is what provides the WindowSystemInterface. This is an unusual condition, as normally this is built automatically, linked in and executed as the library starts up and the user is never the wiser.
I'm not sure what to advise you, only to re-check you build process as something has gone very wrong.
I'm a total newbie in Mac OS X, R and C++. Sound like a good mix, doesn't it?
I have the need to use RQuantLib, because I want to use some pricing functions part of the QuantLib package inside R, all on a Mac OS X-powered environment.
I've correctly installed QuantLib. I've already asked to the official QuantLib mailing list, and together we seem to have reached the conclusion that the problems I'm encountering are not related to my QuantLib installation, which seems ok and correctly configured.
So, I turned to R to try and solve the problem. Whenever I try to run ZeroCouponBond from within R, copying and pasting the first example provided with the official documentation, I get the following error:
"Error in DiscountCurve.default(discountCurve.param, list(flat = 0.05)) :
cannot find function errorOccured"
Now, I would rule any syntax.related problem out, since I'm copying the very same example present in the official help.
I don't know what I did wrong, but I know I need to find a solution at all costs. I've installed Rcpp, and the configuration seems really ok. Just one question I was not able to find an answert to: in my understanding, RQuantLib basically acts as a link between QuantLib and R. If that's correct, how can I tell RQuantLib where to look to find libQuantLib.a, that is, the compiled library resulting from the "make && sudo make install" commands performed while installing QuantLib itself?
Right, so, I've finally managed to get it to work.
First of all, I would like to say that things would have been much easier if a thorough, step-by-step installation procedure had been provided. I acknowledge I'm a total newbie, but I think other people approaching to R for the first time might encounter difficulties similar to those I had to overcome.
Anyway, this is what I did:
I've downloaded the .tar.gz source packages for both Rcpp and RQuantLib from cran.r-project.org
I've compiled them installing them from within the R environment. This is where I was making a mistake. Indeed, I was trying to compile them by invoking the configure installation script from the terminal; however, as Dirk said, the config script looks for QuantLib's quantlib-config script, and I didn't know the correct syntax to tell the configure script the correct path to QuantLib. Executing the procedure from R (by just installing the package) sorts out any problem, as all the dependencies are correctly located and loaded
So, that's pretty much it: just install the .tar.gz source package as you would do with the binary version, and everything should work ok.
Of course, I'm still curious to understand:
If it is possible to compile Rcpp and RQuantLib from the terminal; and
Why the binary version for Mac OS X will not work on my system, ie: why do I have to compile starting from the source code?
Thank you so much to anyone willing to answer my (probably naive and silly) questions. I'm eager to understand a bit more!
Thanks!
The RQuantLib package uses a tool called configure which determines the patch at package build-time. It looks for the script quantlib-config from which it learns about the location of libQuantLib.a.
First, install boost (brew install boost) and, secondly, Quantlib (currently at 1.7.1) by following instructions at http://quantlib.org/install/macosx.shtml:
cd QuantLib-1.x.y
./configure --enable-static --with-boost-include=/opt/local/include/ \
--with-boost-lib=/opt/local/lib/ --prefix=/opt/local/
make && sudo make install
It takes some time (~1 hour) for make.
Then in R or Rstudio, install packages Rcpp and RQuantlib. The later requires type="source" since only source package is available.
At this point, you should be able to use RQuantlib. The American Option value (SPY as of 4/1/2016, maturity 7/15/2016) can be calculated in R as
AmericanOption("put", strike=206, volatility=0.1525, underlying = 206.92, 0.021, 0.003, 73/252, engine="CrankNicolson")