dn | Domain name tools for Node.js | Runtime Evironment library

The command is for bash so obviously it can't run in PowerShell. There are many changes necessary

• PowerShell currently doesn't support process substitution (which is that <(command) part) so you must save the output into file
• The escape character in PowerShell is ` and not \ so you must replace all those escape characters to the correct one

So the result would be something like this

it's because you're overriding the name of real database field with a property of the model.

PDFs are not entirely text files, so trying to read it as one with .text() is introducing errors into the binary parts of it (e.g. the graphics!).

You need r.blob().

It seems the error comes from code generating NAs in the homals function, specifically for your data for the number_credits levels, which causes problems with sort(as.numeric((rownames(clist[[i]])))) and the attempt to catch the error, since one of the levels does not give an NA value.

So either you have to modify the homals function to take care of such an edge case, or change problematic factor levels. This might be something to file as a bug report to the package maintainer.

As a work-around in your case you could do something like:

You could check that the values for the two columns are unique throughout the dataset

df = df.drop_duplicates(subset=['C2_xsampa','Consonant'])

You can get the inverse df[~df] to get the rows that are incorrect

edit just saw the r language tag I believe distinct(select(df, C2_xsampa, Consonant)) will do

If d contains the dictionary from the question, you can use this example:

Try to use date instead of string for the date. and use @DateTimeFormat

You can use set_edge_attr like below

I was able to reproduce your code. It seems to me that this is indeed elegant, even if it does not leverage the full power of the solver. The reason is, that Rcpp creates an interface to the compiled model via an ordinary R function. So back-calls from the slovers (e.g. lsoda) to R are necessary in each time step. Such back-calls are not for the "plain" C/Fortran interface. Here communication between solver and model takes place at the machine code level.

With this informational, I can see that we don't need to expect initialization issues at the C/C++ level, but it looks like a typical case. As the model function is simply the derivative of the model (and only this). The integration is done by the solver "from outside". It calls the model always with the actual integration state, derived from the time step before (roughly speaking). Therefore, it is not possible to force the state variables to fixed values within the model function.

However, there are several options how to resolve this:

• chaining of lsoda calls
• use of events

The following shows a chained approach, but I am not yet sure about the initialization of the parameters in the first time segment, so may only be part of the solution.