183 lines
6.4 KiB
Python
183 lines
6.4 KiB
Python
"""Workspace module."""
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from . import formulas
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from .bond import Bond
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from .correspondence import Correspondence
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from .letter import Letter
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from .workspaceString import WorkspaceString
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def __adjustUnhappiness(values):
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result = sum(values) / 2
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if result > 100.0:
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result = 100.0
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return result
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class Workspace(object):
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def __init__(self, ctx):
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"""To initialize the workspace."""
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self.ctx = ctx
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self.totalUnhappiness = 0.0
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self.intraStringUnhappiness = 0.0
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self.interStringUnhappiness = 0.0
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def __repr__(self):
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return '<Workspace trying %s:%s::%s:?>' % (
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self.initialString, self.modifiedString, self.targetString,
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)
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def resetWithStrings(self, initial, modified, target):
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self.targetString = target
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self.initialString = initial
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self.modifiedString = modified
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self.reset()
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def reset(self):
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self.finalAnswer = None
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self.changedObject = None
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self.objects = []
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self.structures = []
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self.rule = None
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self.initial = WorkspaceString(self.ctx, self.initialString)
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self.modified = WorkspaceString(self.ctx, self.modifiedString)
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self.target = WorkspaceString(self.ctx, self.targetString)
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'''
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# TODO: Initial part of refactoring in this method
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def getAssessedUnhappiness(self, unhappiness):
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o.Unhappiness = __adjustUnhappiness(
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o.relativeImportance * o.Unhappiness
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for o in self.objects)
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pass
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'''
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# TODO: Extract method?
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def assessUnhappiness(self):
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self.intraStringUnhappiness = __adjustUnhappiness(
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o.relativeImportance * o.intraStringUnhappiness
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for o in self.objects)
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self.interStringUnhappiness = __adjustUnhappiness(
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o.relativeImportance * o.interStringUnhappiness
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for o in self.objects)
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self.totalUnhappiness = __adjustUnhappiness(
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o.relativeImportance * o.totalUnhappiness
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for o in self.objects)
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# TODO: these 3 methods seem to be the same... are they? If so, Extract method.
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def calculateIntraStringUnhappiness(self):
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value = sum(
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o.relativeImportance * o.intraStringUnhappiness
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for o in self.objects
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) / 2.0
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self.intraStringUnhappiness = min(value, 100.0)
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def calculateInterStringUnhappiness(self):
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value = sum(
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o.relativeImportance * o.interStringUnhappiness
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for o in self.objects
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) / 2.0
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self.interStringUnhappiness = min(value, 100.0)
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def calculateTotalUnhappiness(self):
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value = sum(
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o.relativeImportance * o.totalUnhappiness
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for o in self.objects
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) / 2.0
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self.totalUnhappiness = min(value, 100.0)
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def updateEverything(self):
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for structure in self.structures:
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structure.updateStrength()
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for obj in self.objects:
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obj.updateValue()
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self.initial.updateRelativeImportance()
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self.target.updateRelativeImportance()
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self.initial.updateIntraStringUnhappiness()
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self.target.updateIntraStringUnhappiness()
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# TODO: use entropy
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def getUpdatedTemperature(self):
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self.calculateIntraStringUnhappiness()
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self.calculateInterStringUnhappiness()
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self.calculateTotalUnhappiness()
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if self.rule:
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self.rule.updateStrength()
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ruleWeakness = 100.0 - self.rule.totalStrength
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else:
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ruleWeakness = 100.0
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return formulas.weightedAverage((
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(self.totalUnhappiness, 0.8),
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(ruleWeakness, 0.2)
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))
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def numberOfUnrelatedObjects(self):
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"""Computes the number of all objects in the workspace with >= 1 open bond slots."""
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objects = [o for o in self.objects
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if o.string == self.initial or o.string == self.target]
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objects = [o for o in objects if not o.spansString()]
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objects = [o for o in objects
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if (not o.leftBond and not o.leftmost) or
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(not o.rightBond and not o.rightmost)]
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return len(objects)
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def numberOfUngroupedObjects(self):
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"""A list of all objects in the workspace that have no group."""
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objects = [o for o in self.objects if
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o.string == self.initial or o.string == self.target]
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objects = [o for o in objects if not o.spansString()]
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objects = [o for o in objects if not o.group]
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return len(objects)
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def numberOfUnreplacedObjects(self):
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"""A list of all unreplaced objects in the initial string."""
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objects = [o for o in self.objects
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if o.string == self.initial and isinstance(o, Letter)]
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objects = [o for o in objects if not o.replacement]
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return len(objects)
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def numberOfUncorrespondingObjects(self):
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"""A list of all uncorresponded objects in the initial string."""
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objects = [o for o in self.objects
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if o.string == self.initial or o.string == self.target]
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objects = [o for o in objects if not o.correspondence]
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return len(objects)
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def numberOfBonds(self):
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"""The number of bonds in the workspace."""
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return sum(1 for o in self.structures if isinstance(o, Bond))
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def correspondences(self):
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return [s for s in self.structures if isinstance(s, Correspondence)]
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def slippages(self):
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result = []
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if self.changedObject and self.changedObject.correspondence:
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result += self.changedObject.correspondence.conceptMappings
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for o in self.initial.objects:
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if o.correspondence:
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for mapping in o.correspondence.slippages():
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if not mapping.isNearlyContainedBy(result):
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result += [mapping]
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return result
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def buildRule(self, rule):
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if self.rule is not None:
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self.structures.remove(self.rule)
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self.rule = rule
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self.structures += [rule]
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rule.activateRuleDescriptions()
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def breakRule(self):
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if self.rule is not None:
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self.structures.remove(self.rule)
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self.rule = None
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def buildDescriptions(self, objekt):
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for description in objekt.descriptions:
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description.descriptionType.buffer = 100.0
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description.descriptor.buffer = 100.0
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if description not in self.structures:
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self.structures += [description]
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