=      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~None+3457;N$ async calls%dynamic serializable data for logging0Mget the continuation context: closure, continuation, state, child threads etc1run the continuation context2compose a list of continuations3run the closure (the x. in 'x >>= f') of the current bind operation.4run the continuation (the f+ in 'x >> f') of the current bind operation5run a chain of continuations. It is up to the programmer to assure by construction that each continuation type-check with the next and the parameter type match the input of the first continuation and that the output is of the type intended.6Ua sinonym of empty that can be used in a monadic expression. it stop the computation7Bset the current closure and continuation for the current statement8reset the closure and continuation. remove inner binds than the prevous computations may have stacked in the list of continuations.;zset the maximun number of threads for a procedure. It is useful to limit the parallelization of transient code that uses O N and K<jdelete all the previous childs generated by the expressions and continue execution of the current thread.=Fadd n threads to the limit of threads. If there is no limit, it set it>-assure that at least there are n threads left@LThe threads generated in the process passed as parameter will not be killed.AzThe threads will be killed when the parent thread dies. That is the default. This can be invoked to revert the effect of @Bkill all the child processesC:Get the session data for the desired type if there is any.DkgetSessionData specialized for the Transient monad. if Nothing, the monadic computation does not continue.If there is no such data, D silently stop the computation. That may or may not be the desired behaviour. To make sure that this does not get unnoticed, use this construction:  getSData <|> error "no data"EJset session data for this type. retrieved with getSessionData orr getSDataF!a shorter name for setSessionDataIgenerator of identifiersK variant of OS that repeatedly executes the IO computation and kill the previously created childsnIt is useful in single threaded problems where each event discard the computations spawned by previous eventsM`variant of + parallel` that execute the IO computation once, and kill the previous child threadsNRvariant that spawn free threads. Since there is not thread control, this is fasterOreturn empty to the current thread and launch the IO action in a new thread and attaches the continuation after it. if the result of the action is , the process is repeated. if not, it finish.+If the maximum number of threads, set with ; has been reached O7 perform the work sequentially, in the current thread.When OTfinish, increase the counter of threads available, if there is a limitation of them.The behaviour of O depend on  if , O( will excute again the IO action. with ,  and , O- will execute the continuation and will stop.T=kill all the threads associated with the continuation contextUdeinvert an event handler. The first parameter is the event handler to be deinverted the second is the value to return to the event handler it configures the event handler by calling the first parameter, that set the event handler, with the current continuationXfinstall a event receiver that wait for a string and trigger the continuation when this string arrives.Yvalidates an input entered in the keyboard in non blocking mode. non blocking means that the user can enter also anything else to activate other option unlike X(, input only wait for one valid responseZ non blocking  with a validator`keep the main thread running, initiate the asynchronous keyboard input and execute the transient computation. It also read a slash separated list of string that are interpreted by X and Y( as if they were entered by the keyboarda same than `Jbut do not initiate the asynchronous keyboard input. Useful for debuggingbGforce the finalization of the main thread and thus, all the applicationc:alternative operator for maybe values. Used in infix moden  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmd  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcn*+'()&%$ !"#,-.m/012345lkji  h g6f78ed9:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcU     !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklm*+None35;Nqsynonymous of rrwrite the result of the computation in the log and return it. but if there is data in the internal log, it read the data from the log and do not execute the computation.!It accept nested step's. The effect is that if the outer step is executed completely the log of the inner steps are erased. If it is not the case, the inner steps are logged this reduce the log of large computations to the minimum. That is a feature not present in the package Workflow. { r <- step $ do step this :: TransIO () step that :: TransIO () step thatOther liftIO $ print rwhen - is executed, the log is just the value of r. but when  thatOther& is executed the log is: [Exec,(), ()]nopqrsnopqrnsopqrnopqrsNone*+;N ainstall in a remote node a haskell package with an executable transient service initialized with P the package, the git repository and the main exectable must have the same nameDcontinue the execution in a new node all the previous actions from ( to this statement must have been loggedbexecute in the remote node a process with the same execution state all the previous actions from ( to this statement must have been loggedCexecutes an action in another node. All the previous actions from ( to this statement must have been loggedsynonymous of  all the previous actions from ( to this statement must have been loggede can stream data but can not inform the receiving process about the finalization. This call does it.All the previous actions from ( to this statement must have been logged@A connectionless version of callTo for long running remote callsTWait for messages and replay the rest of the monadic sequence with the log received.init a Transient process in a interactive as well as in a replay mode. It is intended for twin processes that interact among them in different nodes.:execute a Transient action in each of the nodes connected.The response of each node is returned and processed by the rest of the procedure. By default, the response is processed in a new thread. To restrict the number of threads use the thread control primitives.this snippet receive a message from each of the simulated nodes: > main = keep $ do > let nodes= map createLocalNode [2000..2005] > addNodes nodes > (foldl ( |) empty $ map listen nodes)  | return () > > r <- clustered $ do > Connection (Just(PortNumber port, _, _, _)) _ <- getSData > return $ "hi from " ++ show port++ "n" > liftIO $ putStrLn r > where > createLocalNode n= createNode "localhost" (PortNumber n)Va connectionless version of clustered for long running remote computations. Not testeddInitiates the transient monad, initialize it as a new node (first parameter) and connect it to an existing node (second parameter). The other node will notify about this connection to all the nodes connected to him. this new connected node will receive the list of nodes the local list of nodes then is updated with this list. it can be retrieved with ,tuvwxyz{|}~(tuvwxyz{|}~,}~yz{|tuvwx$tuvwxyz{|}~Nonefslurp a list of values and process them in parallel . To limit the number of processing threads, use ;Mgroup the output of a possible multithreaded process in groups of n elements.,alternative definition with more parallelismexecute a process and get the first n solutions. if the process end without finding the number of solutions requested, it return the found ones if he find the number of solutions requested, it kill the non-free threads of the process and return It works monitoring the solutions found and the number of active threads. If the first parameter is 0, collect will return all the resultssearch also between two time intervals. If the first interval has passed and there is no result, it stop after the second interval, it stop unconditionally. It stops as soon as it has enoug result.None+creates an EVar.Evars are event vars. C trigger the execution of all the continuations associated to the e of this variable (the code that is after them) as stack: the most recent reads are executed first.It is like the publish-subscribe pattern but without inversion of control, since a readEVar can be inserted at any place in the Transient flow.wEVars are created upstream and can be used to communicate two sub-threads of the monad. Following the Transient philosophy they do not block his own thread if used with alternative operators, unlike the IORefs and TVars. And unlike STM vars, that are composable, they wait for their respective events, while TVars execute the whole expression when any variable is modified.TThe execution continues after the writeEVar when all subscribers have been executed.see Yhttps://www.fpcomplete.com/user/agocorona/publish-subscribe-variables-transient-effects-vrread the EVar. It only succeed when the EVar is being updated The continuation gets registered to be executed whenever the variable is updated. if readEVar is in any kind of loop, since each continuation is different, this will register again the continuation. The effect is that the continuation will be executed multiple times To avoid multiple registrations, use Qupdate the EVar and execute all readEVar blocks with last in - first out priorityunsuscribe the last  executed for this EVarNone+;N2assures that backtracking will not go further back6the secod parameter will be executed when backtracking:register an action that will be executed when backtracking+restart the flow forward from this point onIexecute backtracking. It execute the registered actions in reverse order.QIf the backtracking flag is changed the flow proceed forward from that point on.8If the backtrack stack is finished or undoCut executed,  will stop. None+NStream the input to a fileslurp input from a file a line at a time. It creates as much threads as possible. to allow single threaded processing, use it with `threads 0`is the general operation for processing a streamed input, with opening resources before processing and closing them when finish is called. The process statements suscribe to the EVar .;when this variable is updated, the close section is called.When the processing return  or , the W variable is updated so all the subscribed code that close the resources are executed.Fsuscribe a computation to be called when the finish event is triggered6trigger the event for the closing of all the resources None+;Nzproduce a stream of DDS's that can be map-reduced. Similar to spark streams. each interval of time,a new DDS is produced.      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyzz{|}~~Xtrans_DFag6Wak8N35xbFm2gRIKtTransient.BaseTransient.LoggedTransient.MoveTransient.IndeterminismTransient.EVarsTransient.BacktrackTransient.Stream.Resource Transient.DDSToReturn EventSetter StreamDataSMoreSLastSDoneSError RemoteStatus WasRemoteNoRemoteLogLogElem WaitRemoteExecStep LogEntriesCurrentPointerRecoverIDynamicIDynsStateIOPEventFeventxcompfcompmfData mfSequencethreadIdfreeThparentchildren maxThread TransientIOEventIdSDataTransIO TransientrunTrans!>!!>newp=:addr runTransientgetContrunContcompose runClosurerunContinuationrunContinuationsstop setEventContresetEventCont waitQSemB signalQSemBthreads oneThread addThreads' addThreadsgetNonUsedThreads freeThreads hookedThreads killChildsgetSessionDatagetSDatasetSessionDatasetSDatadelSessionDatadelSDatagenNewId refSequence waitEvents waitEvents'asyncspawnparallelloop forkFinally1free addThread killChildrenreact getLineRefroptionoptioninputgetLine'reads1 inputLoop processLinerexitstaykeepkeep'exit onNothing$fMonadIOTransIO$fMonadTransIO$fMonoidTransIO$fMonadPlusTransIO$fAlternativeTransIO$fReadIDynamic$fShowIDynamic$fApplicativeTransIO$fFunctorTransIO$fMonadStateEventFTransIOLoggablefromIDyntoIDynloggedstep $fLoggableaNodehostport connectionPoolpending ConnectionBuffSizeBlockedinstallServicebeamToforkTocallTorunAt streamFromcallTo' setBufSize readHandler connectTo'listenbeamInitreleaseassign emptyPool createNodenodeListmyNode setMyNode getMyNodegetNodesaddNodes shuffleNodes clustered clustered' mclusteredconnect $fReadNode $fShowNode$fEqNode$fReadPortNumberchoosegroup groupByTimechoose'collectcollect'EVarEVarsnewEVarreadEVar writeEVar unsubscribeundoCutonUndo registerUndoretryundosinkFile sourceFileprocessonFinishfinishcmapreduce distributebase Data.EitherRight System.IOgetLineprinttoData Backtrack backtracking backStackFinish checkFinalize initFinish streamDDSPathSave PartitionPartPartRefRefDDSreduce'getPartitionDatarunAtPsearchasyncDuplicate sendAnyError distribute' distribute''textFile generateRefgetRef getTempName $fMonoidDDS$fIResourcePartition$fIndexablePartition