Preparing for refactor
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233203
copycat.log
233203
copycat.log
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@ -75,10 +75,10 @@ def __structureVsStructure(structure1, weight1, structure2, weight2):
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temperature = ctx.temperature
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structure1.updateStrength()
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structure2.updateStrength()
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#TODO: use entropy
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# TODO: use entropy
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weightedStrength1 = temperature.getAdjustedValue(
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structure1.totalStrength * weight1)
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#TODO: use entropy
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# TODO: use entropy
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weightedStrength2 = temperature.getAdjustedValue(
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structure2.totalStrength * weight2)
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return random.weighted_greater_than(weightedStrength1, weightedStrength2)
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@ -114,7 +114,7 @@ def __slippability(ctx, conceptMappings):
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temperature = ctx.temperature
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for mapping in conceptMappings:
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slippiness = mapping.slippability() / 100.0
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#TODO: use entropy
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# TODO: use entropy
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probabilityOfSlippage = temperature.getAdjustedProbability(slippiness)
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if random.coinFlip(probabilityOfSlippage):
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return True
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@ -126,7 +126,7 @@ def breaker(ctx, codelet):
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random = ctx.random
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temperature = ctx.temperature
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workspace = ctx.workspace
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#TODO: use entropy
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# TODO: use entropy
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probabilityOfFizzle = (100.0 - temperature.value()) / 100.0
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if random.coinFlip(probabilityOfFizzle):
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return
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@ -143,7 +143,7 @@ def breaker(ctx, codelet):
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breakObjects += [structure.source.group]
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# Break all the objects or none of them; this matches the Java
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for structure in breakObjects:
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#TODO: use entropy
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# TODO: use entropy
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breakProbability = temperature.getAdjustedProbability(
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structure.totalStrength / 100.0)
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if random.coinFlip(breakProbability):
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@ -155,8 +155,7 @@ def breaker(ctx, codelet):
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def chooseRelevantDescriptionByActivation(ctx, workspaceObject):
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random = ctx.random
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descriptions = workspaceObject.relevantDescriptions()
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weights = [description.descriptor.activation
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for description in descriptions]
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weights = [description.descriptor.activation for description in descriptions]
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return random.weighted_choice(descriptions, weights)
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@ -166,7 +165,7 @@ def similarPropertyLinks(ctx, slip_node):
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result = []
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for slip_link in slip_node.propertyLinks:
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association = slip_link.degreeOfAssociation() / 100.0
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#TODO:use entropy
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# TODO:use entropy
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probability = temperature.getAdjustedProbability(association)
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if random.coinFlip(probability):
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result += [slip_link]
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@ -189,7 +188,7 @@ def bottom_up_description_scout(ctx, codelet):
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sliplinks = similarPropertyLinks(ctx, description.descriptor)
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assert sliplinks
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weights = [sliplink.degreeOfAssociation() * sliplink.destination.activation
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for sliplink in sliplinks]
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for sliplink in sliplinks]
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chosen = random.weighted_choice(sliplinks, weights)
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chosenProperty = chosen.destination
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coderack.proposeDescription(chosenObject, chosenProperty.category(),
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@ -222,7 +221,7 @@ def description_strength_tester(ctx, codelet):
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description.descriptor.buffer = 100.0
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description.updateStrength()
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strength = description.totalStrength
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#TODO: use entropy
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# TODO: use entropy
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probability = temperature.getAdjustedProbability(strength / 100.0)
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assert random.coinFlip(probability)
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coderack.newCodelet('description-builder', strength, [description])
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@ -306,7 +305,7 @@ def rule_scout(ctx, codelet):
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workspace = ctx.workspace
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assert workspace.numberOfUnreplacedObjects() == 0
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changedObjects = [o for o in workspace.initial.objects if o.changed]
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#assert len(changedObjects) < 2
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# assert len(changedObjects) < 2
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# if there are no changed objects, propose a rule with no changes
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if not changedObjects:
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return coderack.proposeRule(None, None, None, None)
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@ -336,8 +335,8 @@ def rule_scout(ctx, codelet):
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if targetObject.described(node):
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if targetObject.distinguishingDescriptor(node):
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newList += [node]
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objectList = newList # surely this should be +=
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# "union of this and distinguishing descriptors"
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objectList = newList # surely this should be +=
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# "union of this and distinguishing descriptors"
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assert objectList
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# use conceptual depth to choose a description
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weights = [
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@ -368,7 +367,7 @@ def rule_strength_tester(ctx, codelet):
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temperature = ctx.temperature
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rule = codelet.arguments[0]
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rule.updateStrength()
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#TODO: use entropy
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# TODO: use entropy
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probability = temperature.getAdjustedProbability(rule.totalStrength / 100.0)
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if random.coinFlip(probability):
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coderack.newCodelet('rule-builder', rule.totalStrength, [rule])
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@ -401,8 +400,8 @@ def replacement_finder(ctx, codelet):
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relation = relations[diff]
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else:
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relation = None
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letterOfInitialString.replacement = Replacement(ctx,
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letterOfInitialString, letterOfModifiedString, relation)
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letterOfInitialString.replacement = Replacement(ctx, letterOfInitialString,
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letterOfModifiedString, relation)
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if relation != slipnet.sameness:
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letterOfInitialString.changed = True
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workspace.changedObject = letterOfInitialString
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@ -445,8 +444,8 @@ def top_down_bond_scout__direction(ctx, codelet):
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coderack = ctx.coderack
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slipnet = ctx.slipnet
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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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source = __getScoutSource(ctx, direction, formulas.localDirectionCategoryRelevance,
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'bond')
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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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@ -471,7 +470,7 @@ def bond_strength_tester(ctx, codelet):
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__showWhichStringObjectIsFrom(bond)
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bond.updateStrength()
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strength = bond.totalStrength
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#Todo: use entropy
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# TODO: use entropy
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probability = temperature.getAdjustedProbability(strength / 100.0)
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logging.info('bond strength = %d for %s', strength, bond)
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assert random.coinFlip(probability)
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@ -512,7 +511,7 @@ def bond_builder(ctx, codelet):
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if incompatibleCorrespondences:
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logging.info("trying to break incompatible correspondences")
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assert __fight(bond, 2.0, incompatibleCorrespondences, 3.0)
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#assert __fightIncompatibles(incompatibleCorrespondences,
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# assert __fightIncompatibles(incompatibleCorrespondences,
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# bond, 'correspondences', 2.0, 3.0)
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for incompatible in incompatibleBonds:
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incompatible.break_the_structure()
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@ -702,7 +701,7 @@ def top_down_group_scout__direction(ctx, codelet):
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direction, bondFacet)
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#noinspection PyStringFormat
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# noinspection PyStringFormat
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@codelet('group-scout--whole-string')
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def group_scout__whole_string(ctx, codelet):
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coderack = ctx.coderack
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@ -754,7 +753,7 @@ def group_strength_tester(ctx, codelet):
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__showWhichStringObjectIsFrom(group)
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group.updateStrength()
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strength = group.totalStrength
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#TODO: use entropy
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# TODO: use entropy
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probability = temperature.getAdjustedProbability(strength / 100.0)
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if random.coinFlip(probability):
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# it is strong enough - post builder & activate nodes
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@ -882,7 +881,7 @@ def rule_translator(ctx, codelet):
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bondDensity = min(bondDensity, 1.0)
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weights = __getCutoffWeights(bondDensity)
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cutoff = 10.0 * random.weighted_choice(list(range(1, 11)), weights)
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#TODO: use entropy
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# TODO: use entropy
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if cutoff >= temperature.actual_value:
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result = workspace.rule.buildTranslatedRule()
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if result is not None:
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@ -919,11 +918,11 @@ def bottom_up_correspondence_scout(ctx, codelet):
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and m.initialDescriptionType != slipnet.bondFacet]
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initialDescriptionTypes = [m.initialDescriptionType for m in opposites]
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flipTargetObject = False
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if (objectFromInitial.spansString() and
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objectFromTarget.spansString() and
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slipnet.directionCategory in initialDescriptionTypes
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and all(m.label == slipnet.opposite for m in opposites) # unreached?
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and slipnet.opposite.activation != 100.0):
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if (objectFromInitial.spansString() and
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objectFromTarget.spansString() and
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slipnet.directionCategory in initialDescriptionTypes
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and all(m.label == slipnet.opposite for m in opposites) # unreached?
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and slipnet.opposite.activation != 100.0):
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objectFromTarget = objectFromTarget.flippedVersion()
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conceptMappings = formulas.getMappings(
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objectFromInitial, objectFromTarget,
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@ -939,7 +938,7 @@ def important_object_correspondence_scout(ctx, codelet):
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coderack = ctx.coderack
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random = ctx.random
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slipnet = ctx.slipnet
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#TODO: use entropy
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# TODO: use entropy
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temperature = ctx.temperature
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workspace = ctx.workspace
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objectFromInitial = chooseUnmodifiedObject(ctx, 'relativeImportance',
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@ -979,11 +978,11 @@ def important_object_correspondence_scout(ctx, codelet):
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and m.initialDescriptionType != slipnet.bondFacet]
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initialDescriptionTypes = [m.initialDescriptionType for m in opposites]
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flipTargetObject = False
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if (objectFromInitial.spansString()
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and objectFromTarget.spansString()
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and slipnet.directionCategory in initialDescriptionTypes
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and all(m.label == slipnet.opposite for m in opposites) # unreached?
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and slipnet.opposite.activation != 100.0):
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if (objectFromInitial.spansString()
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and objectFromTarget.spansString()
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and slipnet.directionCategory in initialDescriptionTypes
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and all(m.label == slipnet.opposite for m in opposites) # unreached?
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and slipnet.opposite.activation != 100.0):
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objectFromTarget = objectFromTarget.flippedVersion()
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conceptMappings = formulas.getMappings(
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objectFromInitial, objectFromTarget,
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