Stability | experimental |
---|---|

Maintainer | David Sorokin <david.sorokin@gmail.com> |

Safe Haskell | Safe-Inferred |

Tested with: GHC 7.6.3

The infinite stream of data in time.

- newtype Stream a = Cons {}
- emptyStream :: Stream a
- mergeStreams :: Stream a -> Stream a -> Stream a
- mergeQueuedStreams :: EnqueueStrategy s q => s -> Stream a -> Stream a -> Stream a
- mergePriorityStreams :: PriorityQueueStrategy s q p => s -> Stream (p, a) -> Stream (p, a) -> Stream a
- concatStreams :: [Stream a] -> Stream a
- concatQueuedStreams :: EnqueueStrategy s q => s -> [Stream a] -> Stream a
- concatPriorityStreams :: PriorityQueueStrategy s q p => s -> [Stream (p, a)] -> Stream a
- splitStream :: Int -> Stream a -> Simulation [Stream a]
- splitStreamQueuing :: EnqueueStrategy s q => s -> Int -> Stream a -> Simulation [Stream a]
- splitStreamPrioritising :: PriorityQueueStrategy s q p => s -> [Stream p] -> Stream a -> Simulation [Stream a]
- streamUsingId :: ProcessId -> Stream a -> Stream a
- prefetchStream :: Stream a -> Stream a
- memoStream :: Stream a -> Simulation (Stream a)
- zipStreamSeq :: Stream a -> Stream b -> Stream (a, b)
- zipStreamParallel :: Stream a -> Stream b -> Stream (a, b)
- zip3StreamSeq :: Stream a -> Stream b -> Stream c -> Stream (a, b, c)
- zip3StreamParallel :: Stream a -> Stream b -> Stream c -> Stream (a, b, c)
- unzipStream :: Stream (a, b) -> Simulation (Stream a, Stream b)
- streamSeq :: [Stream a] -> Stream [a]
- streamParallel :: [Stream a] -> Stream [a]
- consumeStream :: (a -> Process ()) -> Stream a -> Process ()
- sinkStream :: Stream a -> Process ()
- repeatProcess :: Process a -> Stream a
- mapStream :: (a -> b) -> Stream a -> Stream b
- mapStreamM :: (a -> Process b) -> Stream a -> Stream b
- apStreamDataFirst :: Process (a -> b) -> Stream a -> Stream b
- apStreamDataLater :: Process (a -> b) -> Stream a -> Stream b
- apStreamParallel :: Process (a -> b) -> Stream a -> Stream b
- filterStream :: (a -> Bool) -> Stream a -> Stream a
- filterStreamM :: (a -> Process Bool) -> Stream a -> Stream a
- leftStream :: Stream (Either a b) -> Stream a
- rightStream :: Stream (Either a b) -> Stream b
- replaceLeftStream :: Stream (Either a b) -> Stream c -> Stream (Either c b)
- replaceRightStream :: Stream (Either a b) -> Stream c -> Stream (Either a c)
- partitionEitherStream :: Stream (Either a b) -> Simulation (Stream a, Stream b)

# Stream Type

Represents an infinite stream of data in time, some kind of the cons cell.

# Merging and Splitting Stream

emptyStream :: Stream aSource

An empty stream that never returns data.

mergeStreams :: Stream a -> Stream a -> Stream aSource

Merge two streams applying the `FCFS`

strategy for enqueuing the input data.

:: EnqueueStrategy s q | |

=> s | the strategy applied for enqueuing the input data |

-> Stream a | the fist input stream |

-> Stream a | the second input stream |

-> Stream a | the output combined stream |

Merge two streams.

If you don't know what the strategy to apply, then you probably
need the `FCFS`

strategy, or function `mergeStreams`

that
does namely this.

:: PriorityQueueStrategy s q p | |

=> s | the strategy applied for enqueuing the input data |

-> Stream (p, a) | the fist input stream |

-> Stream (p, a) | the second input stream |

-> Stream a | the output combined stream |

Merge two priority streams.

concatStreams :: [Stream a] -> Stream aSource

Concatenate the input streams applying the `FCFS`

strategy and
producing one output stream.

:: EnqueueStrategy s q | |

=> s | the strategy applied for enqueuing the input data |

-> [Stream a] | the input stream |

-> Stream a | the combined output stream |

Concatenate the input streams producing one output stream.

If you don't know what the strategy to apply, then you probably
need the `FCFS`

strategy, or function `concatStreams`

that
does namely this.

:: PriorityQueueStrategy s q p | |

=> s | the strategy applied for enqueuing the input data |

-> [Stream (p, a)] | the input stream |

-> Stream a | the combined output stream |

Concatenate the input priority streams producing one output stream.

splitStream :: Int -> Stream a -> Simulation [Stream a]Source

Split the input stream into the specified number of output streams
after applying the `FCFS`

strategy for enqueuing the output requests.

:: EnqueueStrategy s q | |

=> s | the strategy applied for enqueuing the output requests |

-> Int | the number of output streams |

-> Stream a | the input stream |

-> Simulation [Stream a] | the splitted output streams |

Split the input stream into the specified number of output streams.

If you don't know what the strategy to apply, then you probably
need the `FCFS`

strategy, or function `splitStream`

that
does namely this.

:: PriorityQueueStrategy s q p | |

=> s | the strategy applied for enqueuing the output requests |

-> [Stream p] | the streams of priorities |

-> Stream a | the input stream |

-> Simulation [Stream a] | the splitted output streams |

Split the input stream into a list of output streams using the specified priorities.

# Specifying Identifier

streamUsingId :: ProcessId -> Stream a -> Stream aSource

Create a stream that will use the specified process identifier.
It can be useful to refer to the underlying `Process`

computation which
can be passivated, interrupted, canceled and so on. See also the
`processUsingId`

function for more details.

# Prefetching Stream

prefetchStream :: Stream a -> Stream aSource

Prefetch the input stream requesting for one more data item in advance while the last received item is not yet fully processed in the chain of streams, usually by the processors.

You can think of this as the prefetched stream could place its latest data item in some temporary space for later use, which is very useful for modeling a sequence of separate and independent work places.

# Memoizing, Zipping and Uzipping Stream

memoStream :: Stream a -> Simulation (Stream a)Source

Memoize the stream so that it would always return the same data within the simulation run.

zipStreamSeq :: Stream a -> Stream b -> Stream (a, b)Source

Zip two streams trying to get data sequentially.

zipStreamParallel :: Stream a -> Stream b -> Stream (a, b)Source

Zip two streams trying to get data as soon as possible, launching the sub-processes in parallel.

zip3StreamSeq :: Stream a -> Stream b -> Stream c -> Stream (a, b, c)Source

Zip three streams trying to get data sequentially.

zip3StreamParallel :: Stream a -> Stream b -> Stream c -> Stream (a, b, c)Source

Zip three streams trying to get data as soon as possible, launching the sub-processes in parallel.

unzipStream :: Stream (a, b) -> Simulation (Stream a, Stream b)Source

Unzip the stream.

streamSeq :: [Stream a] -> Stream [a]Source

To form each new portion of data for the output stream, read data sequentially from the input streams.

This is a generalization of `zipStreamSeq`

.

streamParallel :: [Stream a] -> Stream [a]Source

To form each new portion of data for the output stream, read data from the input streams in parallel.

This is a generalization of `zipStreamParallel`

.

# Consuming and Sinking Stream

consumeStream :: (a -> Process ()) -> Stream a -> Process ()Source

Consume the stream. It returns a process that infinitely reads data from the stream and then redirects them to the provided function. It is useful for modeling the process of enqueueing data in the queue from the input stream.

sinkStream :: Stream a -> Process ()Source

Sink the stream. It returns a process that infinitely reads data from the stream. The resulting computation can be a moving force to simulate the whole system of the interconnected streams and processors.

# Useful Combinators

repeatProcess :: Process a -> Stream aSource

Return a stream of values generated by the specified process.

mapStreamM :: (a -> Process b) -> Stream a -> Stream bSource

Compose the stream.

apStreamDataFirst :: Process (a -> b) -> Stream a -> Stream bSource

Transform the stream getting the transformation function after data have come.

apStreamDataLater :: Process (a -> b) -> Stream a -> Stream bSource

Transform the stream getting the transformation function before requesting for data.

apStreamParallel :: Process (a -> b) -> Stream a -> Stream bSource

Transform the stream trying to get the transformation function as soon as possible at the same time when requesting for the next portion of data.

filterStream :: (a -> Bool) -> Stream a -> Stream aSource

Filter only those data values that satisfy to the specified predicate.

filterStreamM :: (a -> Process Bool) -> Stream a -> Stream aSource

Filter only those data values that satisfy to the specified predicate.

# Utilities

replaceLeftStream :: Stream (Either a b) -> Stream c -> Stream (Either c b)Source

Replace the `Left`

values.

replaceRightStream :: Stream (Either a b) -> Stream c -> Stream (Either a c)Source

Replace the `Right`

values.

partitionEitherStream :: Stream (Either a b) -> Simulation (Stream a, Stream b)Source

Partition the stream of `Either`

values into two streams.