object CABRunLengthEncoder
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- type RunLength[A] = IndexedReaderWriterStateT[Free.Trampoline, RunLengthConfig, Cord, RunLengthState, RunLengthState, A]
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case class
RunLengthConfig(minRun: Int) extends Product with Serializable
the configuration of our encoder, this will be used in the Reader part of our RWST
- case class RunLengthState(lastToken: Option[Token], length: Int, input: List[Token]) extends Product with Serializable
Value Members
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final
def
!=(arg0: Any): Boolean
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def
##(): Int
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def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
done: RunLength[Boolean]
have we exhausted the input?
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def
emit: RunLength[Unit]
emit the lastToken
- def encode(minRun: Int, input: List[Token]): String
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
maybeEmit: RunLength[Unit]
emit tokens if the next input token is different than the last
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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val
readToken: RunLength[Token]
read a token from the input
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val
readToken2: RunLength[Token]
with the above syntax imported, we can perform the same computation as above, but use a for comprehension
- val rle: MonadReader[[ε$6$]IndexedReaderWriterStateT[Free.Trampoline, RunLengthConfig, Cord, RunLengthState, RunLengthState, ε$6$], RunLengthConfig] with MonadState[[ε$7$]IndexedReaderWriterStateT[Free.Trampoline, RunLengthConfig, Cord, RunLengthState, RunLengthState, ε$7$], RunLengthState] with MonadListen[[ε$8$]IndexedReaderWriterStateT[Free.Trampoline, RunLengthConfig, Cord, RunLengthState, RunLengthState, ε$8$], Cord]
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def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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def
writeOutput(token: Token, length: Int, minRun: Int): RunLength[Unit]
put output on the writer
- object RunLengthState extends Serializable