I have been working on a way to export models from Simulink to a FMU, which we will open source when we have a not-so-buggy version. Me and a collegue finally got a working version and extracted our first FMU from just a zip.
As it turns out, we must be doing something wrong within the program. Our FMU works fine, except for inputs. None of the inputs seem to be working. This have been tested mutliple times, like having a constant go to an out, which works, and I have also tested working FMUs made from our other non-open-source software and they work. I just can't seem to find what is different from theirs to ours FMU.
Here is a dropbox link if anyone wants the source of the test FMU. The model is simple, with one input going straight towards the output and one output getting fed from a constant. Currently, I can read the one output getting a constant, but not the input one. It's always 0. The dropbox folder includes the generated zip file from the model, the model.slx file, the generated FMU and also a folder containing everything inside the FMU. I know we aren't including all sources inside the FMU just yet, but I will fix that when we find out what our issue is with the FMU's. The sources exist inside the zip, so nothing is left out.
If anyone with experience around FMI has had this issue before or maybe have a clue what we could be doing wrong, I would be so greateful if you could share your experience.
I fixed my issue by changing the FMUSDK fmuTemplate.c file to call functions and handle my own inputs and outputs instead.
Related
I have the following directory containing these CSV files:
/data/one.csv
/data/two.csv
/data/three.csv
/data/four.csv
If I want to read everything, I can simply do:
/data/*.csv
but I can not seem to read everything, except four.csv.
This:
/data/*[^four]*.csv
seemed to work but I think that if the list of files would be bigger, than this way of reading would probably be wrong (because of double wildcards).
Is there a good way to do this? I also am aware that:
/data/{one,two,three,^four}.csv
would solve this specific case, but I need the except method for future needs.
Thank you very much!
I am not 100% sure that this method will work, but you can try. You can use Bash/Python or whatever script to scan all the csv files in the folder, but not with the names four.csv.
The input for spark will be (assuming you have files: one.csv, two.csv, three.csv, four.csv, five.csv ,...up to n.csv files)
PathToFiles=[/data/one.csv, /data/two.csv, /data/three.csv, /data/five.csv, ..., /data/n.csv]
Then you can use (the code is in python)
filesRDD = spark.sparkContext.wholeTextFiles(",".join(PathToFiles))
I have wrote similar code in java, in my impression, it works and you can try.
This is a great package for Bayesian optimization of hyperparameters (especially mixed integer/continuous/categorical...and has shown to be better than Spearmint in benchmarks). However, clearly it is meant for Linux. What do I do...?
First you need to download swig.exe (the whole package) and unzip it. Then drop it somewhere and add the folder to path so that the installer for SMAC3 can call swig.exe.
Next, the Resource module is going to cause issues because that is only meant for Linux. That is specifically used by Pynisher. You'll need to comment out import pynisher in the execute_func.py module. Then, set use_pynisher:bool=False in the def __init__(self...) in the same module. The default is true.
Then, go down to the middle of the module where an if self.use_pynisher....else statement exists. Obviously our code now enters the else part, but it is not setup correctly. Change result = self.ta(config, **obj_kwargs) to result = self.ta(list(config.get_dictionary().values())). This part may need to be adjusted yet depending on what kind of inputs your function handles, but essentially you can see that this will enable the basic example shown in the included branin_fmin.py module. If doing the random forest example, don't change at all...etc.
I set summarise = TRUE in the function run.jags, then saved the output object as save(out, file="out.RData").
When I later load this object I can retrieve the summaries, plots, etc.
However, when I use the exact same code and run the model, and save output on a Linux cluster, then later load the object in Windows to work with it, the summaries and plots are not available. When I type summary(out), print(out), plot(out), or add.summaries(out), I get the following error message:
Error: Invalid runjags.object provided; the output of a runjags function (with class 'runjags') must be supplied
This even though class(out) returns "runjags".
In fact, names(out) reveals that the summaries (and a lot of other stuff) is not included in the output. The help file does indicate that summaries/plots, etc, are included by default.
Is there something about running the model in Linux that 1) prevents summaries from being generated, or 2) messes up the class of the output object?
I can of course use the coda package and do out2 <- as.mcmc.list(out), then I can use coda function to work with the output.
The problem was not Linux (see comment by Matt Denwood), but an old version of runjags. I updated runjags on the Linux machine (well, I had the system admin do it), and that fixed the problem.
I am trying to use the Sphinx4 library for speech recognition, but I cannot seem to figure out the correct combination of acoustic model-dictionary-language model. I have tried out various combinations and I get a different error every time.
I am trying to follow the tutorial on http://cmusphinx.sourceforge.net/wiki/tutorialsphinx4. I do not have a config.xml as I would if I was using ConfigurationManager instead of Configuration, because there is no perceivable way of passing the location of the config file to the Configuration itself (ConfigMgr takes it as an argument to the constructor); and that might be my problem right there. I just do not know how to point to one, and since the tutorial says "It is possible to configure low-level components of the application through XML file although you should do that ONLY IF you understand what is going on.", I assume having a config.xml file is not compulsory.
Combining the latest dictionary (7b - obtained from Sourceforge) with the latest acoustic model (cmusphinx-en-us-5.2.tar.gz - from SF again) and the language model (cmusphinx-5.0-en-us.lm.gz - from SF again) results in NullPointerException in startRecognition. The issue is similar to the problem here: sphinx-4 NullPointerException at startRecognition, but the link given in the answer no longer works. I obtained 0.7a from SF (since that is the dict the link seems to point at), but I am getting even earlier in the execution Error loading word: ;;; when I use that one. I tried downloading latest models and dict from the Github repo, that results in java.lang.IndexOutOfBoundsException: Index: 16128, Size: 16128.
Any help is much appreciated!
You need to use latest code from github
http://github.com/cmusphinx/sphinx4
as described by tutorial
http://cmusphinx.sourceforge.net/wiki/tutorialsphinx4
Correct models (en-us) are already included, you should not replace anything. You should not configure any XML files, use samples as provided in the sources.
I'm processing a data set and running into a problem - although I xlswrite all the relevant output variables to a big Excel file that is timestamped, I don't save the code that actually generated that result. So if I try to recreate a certain set of results, I can't do it without relying on memory (which is obviously not a good plan). I'd like to know if there's a command(s) that will help me save the m-files used to generate the output Excel file, as well as the Excel file itself, in a folder I can name and timestamp so I don't have to do this manually.
In my perfect world I would run the master code file that calls 4 or 5 other function m-files, then all those m-files would be saved along with the Excel output to a folder names results_YYYYMMDDTIME. Does this functionality exist? I can't seem to find it.
There's no such functionality built in.
You could build a dependency tree of your main function by using depfun with mfilename.
depfun(mfilename()) will return a list of all functions/m-files that are called by the currently executing m-file.
This will include all files that come as MATLAB builtins, you might want to remove those (and only record the MATLAB version in your excel sheet).
As pseudocode:
% get all files:
dependencies = depfun(mfilename());
for all dependencies:
if not a matlab-builtin:
copyfile(dependency, your_folder)
As a "long term" solution you might want to check if using a version control system like subversion, mercurial (or one of many others) would be applicable in your case.
In larger projects this is preferred way to record the version of source code used to produce a certain result.