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Comment: Migrated to Confluence 5.3

Please refer to the Find-Primes example before starting with this example.

First, define the CnC graph for the partition string example:

Code Block
titlePartitionString.cnc
borderStylesolid
<string singletonTag>;
<string spanTags>;
[string->string input];
[string->string span];
[string->string results];

<singletonTag> :: (python createSpan);
<spanTags> :: (python processSpan);

// program inputs and outputs

env -> [input];
env -> <singletonTag>;
[results] -> env;

// producer/consumer relations

[input] -> (createSpan) -> <spanTags>, [span];
[span] -> (processSpan) -> [results];

This graph is a little more interesting than the Find-Primes example since it has two Steps: createSpan and processSpan. createSpan produces Items for the span Item Collection. This in turn trigger the prescription of the processSpan step which writes results to the results Item Collection. The environment reads off these values from the results Item Collection.

Next, run the CnC-Python translator:

Code Block
cnc_t PartitionString.cnc

Next, we need to provide the python implementations for the Steps using the generated templates (as explained in the Find-Primes example ). Note the implementation of the createAwaitsList function in both the python Step classes which defines the input dependences on values from the Item Collections.

Code Block
titleuserPartitionStringApp.py
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class Application:
  @staticmethod
  def onStart(args, input, singletonTag):
    # TODO fill out the body of the function
    # e.g. operation on output item collections: anItemCollection.put(aTag, aValue)
    # e.g. operation on tag collections: aTagCollection.putTag(aTag)
    if len(args) > 0:
      firstArg = args[0]
      print("py: processing " + firstArg)
      input.put(firstArg, firstArg)
      singletonTag.putTag(firstArg)
    else:
      print("py: usage PartitionStringMain <the_string_to_process>")

  @staticmethod
  def onEnd(results):
    # e.g. operation on input item collections: anItemCollection.get(aTag)
    # e.g. operation on input item collections: anItemCollection.printContents()
    results.printContents()
Code Block
titleuserCreateSpanStep.py
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class CreateSpanStep:
  @staticmethod
  def createAwaitsList(tupleContainer, tag , inInput):
    # TODO fill out the body of the function
    # e.g. tupleContainer.add(itemCollection, tagValue)
    # e.g. operation on item collections: anItemCollection.get(aTag)
    tupleContainer.add(inInput, tag)

  @staticmethod
  def compute(tag , inInput, ctrlSpanTags, outSpan):
    # TODO fill out the body of the function
    # e.g. operation on input item collections: anItemCollection.get(aTag)
    # e.g. operation on output item collections: anItemCollection.put(aTag, aValue)
    # e.g. operation on tag collections: aTagCollection.putTag(aTag)
    def computeRun(x, y):
      if len(x) == 0:
        return [y]
      else:
        curRun = x[-1]
        if curRun[-1] == y:
          x[-1] = curRun + y
          return x
        else:
          x.append(y)
          return x

    inStrVal = inInput.get(tag)
    inList = reduce(computeRun, inStrVal, [])
    for spanStr in inList:
      outSpan.put(spanStr, spanStr)
      ctrlSpanTags.putTag(spanStr)
    return True
Code Block
titleuserProcessSpanStep.py
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class ProcessSpanStep:
  @staticmethod
  def createAwaitsList(tupleContainer, tag , inSpan):
    # e.g. tupleContainer.add(itemCollection, tagValue)
    # e.g. operation on item collections: anItemCollection.get(aTag)
    tupleContainer.add(inSpan, tag)

  @staticmethod
  def compute(tag , inSpan, outResults):
    # e.g. operation on input item collections: anItemCollection.get(aTag)
    # e.g. operation on output item collections: anItemCollection.put(aTag, aValue)
    # e.g. operation on tag collections: aTagCollection.putTag(aTag)
    try:
      inStr = inSpan.get(tag)
      if len(inStr) % 2 != 0:
        outResults.put(inStr, inStr)
      return True
    except Error:
      print("py: NativeProcessSpanStep.compute error!")
      return False

Running this program with an input of lllllllllaaaaaaaammmmmmmeeeeeeeeeeeeeee should produce the following output:

Code Block
Running PartitionStringMain
Starting PartitionStringMain...
...
py: processing lllllllllaaaaaaaammmmmmmeeeeeeeeeeeeeee
...
Contents of py:PartitionString.ResultsItemCollection [size=3]
'eeeeeeeeeeeeeee' = eeeeeeeeeeeeeee
'lllllllll' = lllllllll
'mmmmmmm' = mmmmmmm