Demagic workspaceFormulas.py. NFC.
This commit is contained in:
Arthur O'Dwyer
@ -57,16 +57,10 @@ def __getScoutSource(ctx, slipnode, relevanceMethod, typeName):
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else:
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logging.info('initial string selected: %s for %s',
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workspace.initial, typeName)
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source = chooseUnmodifiedObject('intraStringSalience', string.objects)
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source = chooseUnmodifiedObject(ctx, 'intraStringSalience', string.objects)
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return source
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def __getBondFacet(source, destination):
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bondFacet = chooseBondFacet(source, destination)
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assert bondFacet
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return bondFacet
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def __getDescriptors(bondFacet, source, destination):
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sourceDescriptor = source.getDescriptor(bondFacet)
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destinationDescriptor = destination.getDescriptor(bondFacet)
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@ -178,7 +172,7 @@ def bottom_up_description_scout(ctx, codelet):
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coderack = ctx.coderack
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random = ctx.random
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workspace = ctx.workspace
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chosenObject = chooseUnmodifiedObject('totalSalience', workspace.objects)
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chosenObject = chooseUnmodifiedObject(ctx, 'totalSalience', workspace.objects)
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assert chosenObject
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__showWhichStringObjectIsFrom(chosenObject)
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# choose relevant description by activation
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@ -202,7 +196,7 @@ def top_down_description_scout(ctx, codelet):
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random = ctx.random
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workspace = ctx.workspace
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descriptionType = codelet.arguments[0]
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chosenObject = chooseUnmodifiedObject('totalSalience', workspace.objects)
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chosenObject = chooseUnmodifiedObject(ctx, 'totalSalience', workspace.objects)
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assert chosenObject
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__showWhichStringObjectIsFrom(chosenObject)
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descriptions = chosenObject.getPossibleDescriptions(descriptionType)
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@ -244,12 +238,13 @@ def bottom_up_bond_scout(ctx, codelet):
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coderack = ctx.coderack
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slipnet = ctx.slipnet
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workspace = ctx.workspace
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source = chooseUnmodifiedObject('intraStringSalience', workspace.objects)
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source = chooseUnmodifiedObject(ctx, 'intraStringSalience', workspace.objects)
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__showWhichStringObjectIsFrom(source)
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destination = chooseNeighbor(source)
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destination = chooseNeighbor(ctx, source)
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assert destination
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logging.info('destination: %s', destination)
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bondFacet = __getBondFacet(source, destination)
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bondFacet = chooseBondFacet(ctx, source, destination)
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assert bondFacet
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logging.info('chosen bond facet: %s', bondFacet.get_name())
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logging.info('Source: %s, destination: %s', source, destination)
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bond_descriptors = __getDescriptors(bondFacet, source, destination)
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@ -391,10 +386,11 @@ def top_down_bond_scout__category(ctx, codelet):
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category = codelet.arguments[0]
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source = __getScoutSource(ctx, category, formulas.localBondCategoryRelevance,
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'bond')
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destination = chooseNeighbor(source)
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destination = chooseNeighbor(ctx, source)
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logging.info('source: %s, destination: %s', source, destination)
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assert destination
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bondFacet = __getBondFacet(source, destination)
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bondFacet = chooseBondFacet(ctx, source, destination)
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assert bondFacet
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sourceDescriptor, destinationDescriptor = __getDescriptors(
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bondFacet, source, destination)
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forwardBond = sourceDescriptor.getBondCategory(destinationDescriptor)
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@ -421,10 +417,11 @@ def top_down_bond_scout__direction(ctx, codelet):
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direction = codelet.arguments[0]
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source = __getScoutSource(ctx,
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direction, formulas.localDirectionCategoryRelevance, 'bond')
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destination = chooseDirectedNeighbor(source, direction)
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destination = chooseDirectedNeighbor(ctx, source, direction)
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assert destination
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logging.info('to object: %s', destination)
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bondFacet = __getBondFacet(source, destination)
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bondFacet = chooseBondFacet(ctx, source, destination)
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assert bondFacet
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sourceDescriptor, destinationDescriptor = __getDescriptors(
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bondFacet, source, destination)
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category = sourceDescriptor.getBondCategory(destinationDescriptor)
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@ -874,9 +871,9 @@ def bottom_up_correspondence_scout(ctx, codelet):
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coderack = ctx.coderack
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slipnet = ctx.slipnet
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workspace = ctx.workspace
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objectFromInitial = chooseUnmodifiedObject('interStringSalience',
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objectFromInitial = chooseUnmodifiedObject(ctx, 'interStringSalience',
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workspace.initial.objects)
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objectFromTarget = chooseUnmodifiedObject('interStringSalience',
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objectFromTarget = chooseUnmodifiedObject(ctx, 'interStringSalience',
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workspace.target.objects)
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assert objectFromInitial.spansString() == objectFromTarget.spansString()
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# get the posible concept mappings
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@ -917,7 +914,7 @@ def important_object_correspondence_scout(ctx, codelet):
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slipnet = ctx.slipnet
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temperature = ctx.temperature
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workspace = ctx.workspace
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objectFromInitial = chooseUnmodifiedObject('relativeImportance',
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objectFromInitial = chooseUnmodifiedObject(ctx, 'relativeImportance',
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workspace.initial.objects)
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descriptors = objectFromInitial.relevantDistinguishingDescriptors()
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# choose descriptor by conceptual depth
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@ -934,7 +931,7 @@ def important_object_correspondence_scout(ctx, codelet):
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if description.descriptor == initialDescriptor:
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targetCandidates += [objekt]
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assert targetCandidates
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objectFromTarget = chooseUnmodifiedObject('interStringSalience',
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objectFromTarget = chooseUnmodifiedObject(ctx, 'interStringSalience',
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targetCandidates)
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assert objectFromInitial.spansString() == objectFromTarget.spansString()
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# get the posible concept mappings
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@ -1,5 +1,3 @@
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import logging
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def __chooseObjectFromList(ctx, objects, attribute):
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random = ctx.random
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@ -13,8 +11,7 @@ def __chooseObjectFromList(ctx, objects, attribute):
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return random.weighted_choice(objects, weights)
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def chooseUnmodifiedObject(attribute, inObjects):
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from context import context as ctx
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def chooseUnmodifiedObject(ctx, attribute, inObjects):
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workspace = ctx.workspace
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objects = [o for o in inObjects if o.string != workspace.modified]
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if not len(objects):
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@ -22,77 +19,48 @@ def chooseUnmodifiedObject(attribute, inObjects):
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return __chooseObjectFromList(ctx, objects, attribute)
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def chooseNeighbor(source):
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from context import context as ctx
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def chooseNeighbor(ctx, source):
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workspace = ctx.workspace
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objects = []
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for objekt in workspace.objects:
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if objekt.string != source.string:
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continue
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if objekt.leftIndex == source.rightIndex + 1:
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objects += [objekt]
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elif source.leftIndex == objekt.rightIndex + 1:
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objects += [objekt]
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objects = [o for o in workspace.objects if o.beside(source)]
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return __chooseObjectFromList(ctx, objects, "intraStringSalience")
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def chooseDirectedNeighbor(source, direction):
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from context import context as ctx
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def chooseDirectedNeighbor(ctx, source, direction):
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slipnet = ctx.slipnet
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workspace = ctx.workspace
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if direction == slipnet.left:
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logging.info('Left')
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return __chooseLeftNeighbor(source)
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logging.info('Right')
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return __chooseRightNeighbor(source)
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def __chooseLeftNeighbor(source):
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from context import context as ctx
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workspace = ctx.workspace
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objects = []
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for o in workspace.objects:
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if o.string == source.string:
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if source.leftIndex == o.rightIndex + 1:
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logging.info('%s is on left of %s', o, source)
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objects += [o]
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else:
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logging.info('%s is not on left of %s', o, source)
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logging.info('Number of left objects: %s', len(objects))
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objects = [o for o in workspace.objects
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if o.string == source.string
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and source.leftIndex == o.rightIndex + 1]
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else:
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objects = [o for o in workspace.objects
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if o.string == source.string
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and o.leftIndex == source.rightIndex + 1]
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return __chooseObjectFromList(ctx, objects, 'intraStringSalience')
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def __chooseRightNeighbor(source):
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from context import context as ctx
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workspace = ctx.workspace
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objects = [o for o in workspace.objects
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if o.string == source.string
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and o.leftIndex == source.rightIndex + 1]
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return __chooseObjectFromList(ctx, objects, 'intraStringSalience')
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def chooseBondFacet(source, destination):
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from context import context as ctx
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def chooseBondFacet(ctx, source, destination):
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random = ctx.random
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slipnet = ctx.slipnet
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sourceFacets = [d.descriptionType for d in source.descriptions
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if d.descriptionType in slipnet.bondFacets]
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bondFacets = [d.descriptionType for d in destination.descriptions
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if d.descriptionType in sourceFacets]
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supports = [__supportForDescriptionType(f, source.string)
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supports = [__supportForDescriptionType(ctx, f, source.string)
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for f in bondFacets]
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return random.weighted_choice(bondFacets, supports)
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def __supportForDescriptionType(descriptionType, string):
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string_support = __descriptionTypeSupport(descriptionType, string)
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def __supportForDescriptionType(ctx, descriptionType, string):
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string_support = __descriptionTypeSupport(ctx, descriptionType, string)
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return (descriptionType.activation + string_support) / 2
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def __descriptionTypeSupport(descriptionType, string):
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def __descriptionTypeSupport(ctx, descriptionType, string):
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"""The proportion of objects in the string with this descriptionType"""
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from context import context as ctx
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workspace = ctx.workspace
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described_count = total = 0
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described_count = 0
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total = 0
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for objekt in workspace.objects:
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if objekt.string == string:
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total += 1
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