markovify actually throws out any sentences including quotes, parentheses or square brackets by default because they tend to end up unbalanced in the generated sentences. I overrode that behavior because it was removing a huge number of sentences from the training, like almost every single title in /r/relationships and most comments from /r/scenesfromahat. But by doing that I've ended up with the

When we call markovchainFit with the laplace or bootstrap method, it should warn us that the method is not available for a list. For example:

c1<-c("a","b","c","c","e") 
c2<-c("a","b","d","e") 
c3<-c("a","c","b","c","d") 
c4<-c("a","b","b","d","b","c","d","e") 
c5<-c("a","c","c","d","d") 
c6<-c("a","c","d","d","b","b","e") 

mylist<-list(c1,c2,c3,c4,c5,c6) 
mylistMc<-markovch

The current unit test for the diagnostics functions only test if the function call works. In the future, we should add proper unit tests to ensure the resulting computations are correct.

• add unit test for discretediag
• add unit test for gelmandiag
• add unit test for gewekediag
• add unit test for heideldiag
• add unit test for rafterydiag

Checking nondeterministic models under an arbitrary scheduler allows us to use the (faster) algorithms for DTMCs/CTMCs. This might be useful, e.g., when the nondeterminism is known to be spurious.

In some sense, this would be the reverse operation of --transformation:to-nondet.
Note that for MAs it might be necessary to also invoke --[transformation:]eliminate-chains to get a CTMC (this

https://github.com/telegram-bots/imaginaryfriend/blob/737375bf28d9fb12666b19374c152b1e212c10ed/src/service/reply_generator.py#L5

please, document this class's methods and the logic. I believe ReplyGenerator is the core part of the code

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