Hi Andrea,the generalized notation for transition using when was not implemented for Exploration and Aggreagtion transition. The commit b6d6fe420c22f33f0b38644195f7efaaeac8d3eb fixed it. Could you test it?
Cheers, Romain Le 18/05/2015 14:42, Andreas Schuh a écrit :
Hi,
the following are excerpts of my recent attempt to workaround previous WF
issues (which I believe are due to bugs in OpenMOLE…). How can I resolve the
compilation error:
[error]
/Users/as12312/Documents/Projects/REPEAT/src/main/scala/com/andreasschuh/repeat/workflow/RunRegistration.scala:496:
overloaded method value >- with alternatives:
[error] (toHead: org.openmole.core.workflow.puzzle.Puzzle,toTail:
org.openmole.core.workflow.puzzle.Puzzle*)org.openmole.core.workflow.puzzle.Puzzle
<and>
[error] (to: org.openmole.core.workflow.puzzle.Puzzle,condition:
org.openmole.core.workflow.transition.Condition,filter:
org.openmole.core.workflow.transition.Filter[String],trigger:
org.openmole.core.workflow.transition.Condition)org.openmole.core.workflow.puzzle.Puzzle
[error] cannot be applied to
(org.openmole.core.workflow.transition.TransitionParameter,
org.openmole.core.workflow.transition.TransitionParameter)
[error] evaluateOverlapEnd >- (
[error] ^
[error] one error found
[error] (compile:compile) Compilation failed
List of OpenMOLE imports:
import org.openmole.core.dsl._
import org.openmole.core.workflow.data.Prototype
import org.openmole.plugin.domain.file._
import org.openmole.plugin.hook.file._
import org.openmole.plugin.sampling.combine._
import org.openmole.plugin.sampling.csv._
import org.openmole.plugin.task.scala._
import org.openmole.plugin.tool.pattern.Skip
Here the offending aggregation:
val writeMean =
evaluateOverlapEnd >- (
writeMeanOverlap(dscRegAvgCsvPath, dscGrpAvg, dscRegAvg, header = groups) when
"!dscGrpAvgValid.contains(false)",
writeMeanOverlap(jsiRegAvgCsvPath, jsiGrpAvg, jsiRegAvg, header = groups) when
"!jsiGrpAvgValid.contains(false)"
)
Definition of evaluateOverlapEnd:
val evaluateOverlapEnd =
Capsule(
EmptyTask() set (
name := s"${reg.id}-EvaluateOverlapEnd",
inputs += (dscValues, dscGrpAvg, dscGrpStd, jsiValues, jsiGrpAvg,
jsiGrpStd),
inputs += (dscValuesValid, dscGrpAvgValid, dscGrpStdValid,
jsiValuesValid, jsiGrpAvgValid, jsiGrpStdValid),
outputs += (dscValues, dscGrpAvg, dscGrpStd, jsiValues, jsiGrpAvg,
jsiGrpStd),
outputs += (dscValuesValid, dscGrpAvgValid, dscGrpStdValid,
jsiValuesValid, jsiGrpAvgValid, jsiGrpStdValid)
),
strainer = true
)
Definition of writeMeanOverlap:
def writeMeanOverlap(path: String, values: Prototype[Array[Double]], mean:
Prototype[Array[Double]], header: String) =
ScalaTask(
s"""
| val regId = input.regId.head
| val parId = input.parId.head
| val ${mean.name} = ${values.name}.transpose.map(_.sum /
${values.name}.head.size)
""".stripMargin
) set (
name := s"${reg.id}-Write${mean.name.capitalize}",
inputs += (regId.toArray, parId.toArray, values.toArray),
outputs += (regId, parId, mean)
) hook (
AppendToCSVFileHook(path, regId, parId, mean) set (
csvHeader := "Registration,Parameters," + header,
singleRow := true
)
)
Cheers,
Andreas
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