search for: transitions

Hello, from a software I have the following output in xml (see below): It is a series of matrices, for each age one. I have 3 categories (might vary in the application), hence, 3x3 matrices where each element gives the probability of transition from i to j. I would like read this data into R (preferably in a list, where each list element is one of the age specific matrices) and - after altering

...ove in reference to each other using a moving average variable. Therefore I think I need all animals simulated within one subroutine (loop). I probably haven't explained thie very well but here is the code I have been working on.... #creation of a 6*6 matrix with the transition probabilities transitions<-matrix(0,nrow=6,ncol=6); transitions[1,1]<- (0/6); transitions[1,2]<- (0/6); transitions[1,3]<-(0/6); transitions[1,4]<-(0/6);transitions[1,5]<-(0/6); transitions[1,6]<-(6/6);transitions[2,1]<- (1/6);transitions[2,2]<- (1/6); transitions[2,3]<-(1/6); transitions[2,4]&...

...gt;> Thanks Anshu! >> >> I've recently added more functional units to our Schedule.td and the >> generation time became painfully long. In fact, the main problem was >> in writeTableAndAPI(). I propose another patch to fix it: >> - Fixed memory leaks. >> - Transitions are attached to states. >> >> I've regenerated the DFA table of Hexagon and everything is ok. >> Please review it. > > I had a few comments about the design change that you're introducing > with the patch: > > This patch adds multiple points of control for a...

On Wed, Sep 11, 2019 at 08:48:28AM -0500, Eric Blake wrote: > On 9/11/19 5:40 AM, Richard W.M. Jones wrote: > > Very much a work in progress as there are still many tests using > > qemu-io which are candidates for conversion. > > > > You'll notice at the end of test-full.sh that the new test has some > > duplicated code which looks as if it ought to be

...r working on the patch. It looks good to me except for the removal of the Transition class: > (1) Should I completely remove Transition and create a map structure in State (input, state) to replace them? Yes, please remove the Transition class and create a map structure in State instead of TransitionSet. Thanks -Anshu On 8/25/2012 6:42 AM, Ivan Llopard wrote: > Hi Anshu, > > Thanks again for your feedbacks. > > On 24/08/2012 17:01, Anshuman Dasgupta wrote: >> Hi Ivan, >> >>> I missed last 2 commits made by Alexey. Following his advices, I >>> upda...

Very much a work in progress as there are still many tests using qemu-io which are candidates for conversion. You'll notice at the end of test-full.sh that the new test has some duplicated code which looks as if it ought to be refactored into a Python function. When I tried to do that, I got loads of strange Python problems which may indicate bugs in nbdsh itself or problems with my

...ks good to me except for the > removal of the Transition class: > > > (1) Should I completely remove Transition and create a map structure > in State (input, state) to replace them? > > Yes, please remove the Transition class and create a map structure in > State instead of TransitionSet. Sure. Please, take a look at the new patch. Ivan > > Thanks > -Anshu > > > > On 8/25/2012 6:42 AM, Ivan Llopard wrote: >> Hi Anshu, >> >> Thanks again for your feedbacks. >> >> On 24/08/2012 17:01, Anshuman Dasgupta wrote: >>> Hi Iva...

...1) > boxes <- data.frame(rbind(b1,b2,b3,b4)) > colnames(boxes) <- c("y97","y98","y99","y00") > boxes y97 y98 y99 y00 b1 1 1 4 2 b2 1 4 4 3 b3 4 4 1 2 b4 3 1 1 1 > My problem is that there are 16 possible transitions, but not all possible transitions occur at each time step. Therefore, don't think I could do something easy like create a table for each time step and add them together, for example: > t1.boxes <- table(boxes$y98, boxes$y97) > t1.boxes 1 3 4 1 1 1 0 4 1 0 1 > t2.boxes &...

...t;> +void State::AddInsnClass(unsigned InsnClass, >>>>>>> Add a top level comment describing the function >>>>>>> >>>>>>> + std::map<State*, std::set<Transition*, ltTransition>, ltState> >>>>>>> stateTransitions; >>>>>>> You should be able to use SmallSet here. Also, this line exceeds 80 >>>>>>> columns. >>>>>> I tried but SmallSet is not iterable. SmallSetPtr could be useful >>>>>> here but it doesn't allow custom sorting. &...

...t;>>>>> +void State::AddInsnClass(unsigned InsnClass, >>>>>> Add a top level comment describing the function >>>>>> >>>>>> + std::map<State*, std::set<Transition*, ltTransition>, ltState> >>>>>> stateTransitions; >>>>>> You should be able to use SmallSet here. Also, this line exceeds 80 >>>>>> columns. >>>>> I tried but SmallSet is not iterable. SmallSetPtr could be useful >>>>> here but it doesn't allow custom sorting. >>>>&...

Hi, All. I'd have a set of data in an array: process <- c( 5 , 7 , 4 , 1 , 4 , 1 , 4 , 1 , 4 , 4 , 1 , 5 , 4 , ...) and I'd like to know the number of transitions in this data. I calculate transitions as the number of times a number follows another number. thus, something like this would be a 1 deep transition: 1 --> 1 : 10% (and actual number of 1 --> 1 occurrences) 1 --> 2 : 2% 1 --> 3 : 23% ... 2 --> 1 : 2% 2 --> 2 : 8% (etc.) of cou...

As part of adding `"deopt"` operand bundles, we're aiming to change RewriteStatepointsForGC (called RS4GC henceforth) from rewriting existing `gc.statepoint` calls to transforming normal LLVM calls and invokes into `gc.statepoint` calls and invokes (i.e. to do PlaceSafepoints + RS4GC in one step). This will make `gc.statepoint` an artifact of the gc lowering strategy that only

Hi all, I'd like to thank those who helped me with my previous loop function question with agents/events. I have solved the problem with the advice from this community. I have now moved on to the next step, which requires me to find all the transition pair within an event. A sample data and the R commands I've written are as follow: x <-

...;>>>> >>>>> +void State::AddInsnClass(unsigned InsnClass, >>>>> Add a top level comment describing the function >>>>> >>>>> + std::map<State*, std::set<Transition*, ltTransition>, ltState> >>>>> stateTransitions; >>>>> You should be able to use SmallSet here. Also, this line exceeds 80 >>>>> columns. >>>> I tried but SmallSet is not iterable. SmallSetPtr could be useful >>>> here but it doesn't allow custom sorting. >>>> >>>>...

On Thu, Jan 14, 2016 at 01:29:13PM -0800, Paul E. McKenney wrote: > So smp_mb() provides transitivity, as do pairs of smp_store_release() > and smp_read_acquire(), But they provide different grades of transitivity, which is where all the confusion lays. smp_mb() is strongly/globally transitive, all CPUs will agree on the order. Whereas the RCpc release+acquire is weakly so, only the two

On Thu, Jan 14, 2016 at 01:29:13PM -0800, Paul E. McKenney wrote: > So smp_mb() provides transitivity, as do pairs of smp_store_release() > and smp_read_acquire(), But they provide different grades of transitivity, which is where all the confusion lays. smp_mb() is strongly/globally transitive, all CPUs will agree on the order. Whereas the RCpc release+acquire is weakly so, only the two

...ch. It should be ok now. > Thanks Anshu! > > I've recently added more functional units to our Schedule.td and the > generation time became painfully long. In fact, the main problem was > in writeTableAndAPI(). I propose another patch to fix it: > - Fixed memory leaks. > - Transitions are attached to states. > > I've regenerated the DFA table of Hexagon and everything is ok. > Please review it. I had a few comments about the design change that you're introducing with the patch: This patch adds multiple points of control for adding a transition: there's n...

Hello, I am trying to implement a formula aij= transition from state S_i to S_j/no of transition at state S_i Code I have written is working with three state {1,2,3 }, but if the number of states become={1,2,3,4,......n} then the code will not work, so can some help me with this. For and some rows of my data frame look like

Hi, I am still not familiar with vectorization. Could you help with making this for loop more efficient? The code is trying to make a Q matrix for a multidimensional state space with specific conditions. thanks Mira tmp = 0:(maxvals[1]) for(i in 2:nchars) { tmp <- outer(tmp, 0:(maxvals[i]), FUN="paste", sep=".") } states = tmp stateidx = array(1:length(states),

Hi, I think you overthought this one a little bit, I don't know if this is the kind of code you are expecting but I came up with something like that: generate_transition_matrix <- function(data, n_states) { #To be sure I imagine you should check n_states is right at this point transitions <- matrix(0, n_states, n_states) #we could improve a little bit here because at step N+1 source is dest from step N #but it would not be as readable for (k in 1:(length(data) - 1)) { source_state <- data[k] dest_state <- data[k+1] transitions[source_sta...