Merge branch 'master' of https://github.com/Alex-Linhares/co.py.cat
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304866
copycat.log
304866
copycat.log
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@ -1010,7 +1010,7 @@ def correspondence_strength_tester(ctx, codelet):
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objectFromTarget.flipped_version())))
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correspondence.updateStrength()
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strength = correspondence.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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# activate some concepts
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@ -1064,8 +1064,8 @@ def correspondence_builder(ctx, codelet):
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# if there is an incompatible bond then fight against it
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initial = correspondence.objectFromInitial
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target = correspondence.objectFromTarget
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if (initial.leftmost or initial.rightmost and
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target.leftmost or target.rightmost):
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if (initial.leftmost or initial.rightmost and
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target.leftmost or target.rightmost):
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# search for the incompatible bond
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incompatibleBond = correspondence.getIncompatibleBond()
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if incompatibleBond:
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@ -83,7 +83,7 @@ class Coderack(object):
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if 'correspondence' in codeletName:
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return workspace.interStringUnhappiness / 100.0
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if 'description' in codeletName:
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#TODO: use entropy
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# TODO: use entropy
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return (temperature.value() / 100.0) ** 2
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return workspace.intraStringUnhappiness / 100.0
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@ -163,7 +163,7 @@ class Coderack(object):
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if codeletName == 'breaker':
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urgency = 1
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#TODO: use entropy
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# TODO: use entropy
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if temperature.value() < 25.0 and 'translator' in codeletName:
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urgency = 5
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for _ in range(howMany):
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@ -290,8 +290,8 @@ class Coderack(object):
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random = self.ctx.random
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temperature = self.ctx.temperature
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assert self.codelets
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#TODO: use entropy
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# TODO: use entropy
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scale = (100.0 - temperature.value() + 10.0) / 15.0
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chosen = random.weighted_choice(self.codelets, [codelet.urgency ** scale for codelet in self.codelets])
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self.removeCodelet(chosen)
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@ -27,11 +27,11 @@ def lower_bound_on_probability(hits, attempts, confidence=0.95):
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if attempts == 0:
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return 0
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z = pnormaldist(confidence)
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zsqr = z*z
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zsqr = z * z
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phat = 1.0 * hits / attempts
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under_sqrt = (phat * (1 - phat) + zsqr / (4*attempts)) / attempts
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under_sqrt = (phat * (1 - phat) + zsqr / (4 * attempts)) / attempts
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denominator = (1 + zsqr / attempts)
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return (phat + zsqr / (2*attempts) - z * (under_sqrt ** 0.5)) / denominator
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return (phat + zsqr / (2 * attempts) - z * (under_sqrt ** 0.5)) / denominator
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def upper_bound_on_probability(hits, attempts, confidence=0.95):
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@ -44,6 +44,16 @@ class Workspace(object):
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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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@ -55,6 +65,7 @@ class Workspace(object):
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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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@ -102,7 +113,7 @@ class Workspace(object):
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))
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def numberOfUnrelatedObjects(self):
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"""A list of all objects in the workspace with >= 1 open bond slots"""
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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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@ -120,21 +131,21 @@ class Workspace(object):
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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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"""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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"""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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"""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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@ -38,7 +38,7 @@ class WorkspaceString(object):
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return self.string[i]
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def updateRelativeImportance(self):
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"""Update the normalised importance of all objects in the string"""
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"""Update the normalised importance of all objects in the string."""
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total = sum(o.rawImportance for o in self.objects)
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if not total:
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for o in self.objects:
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26
main.py
26
main.py
@ -1,15 +1,40 @@
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#!/usr/bin/env python3
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"""
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Main Copycat program.
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To run it, type at the terminal:
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> python main.py abc abd ppqqrr --interations 10
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The script takes three to five arguments. The first two are a pair of strings
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with some change, for example "abc" and "abd". The third is a string which the
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script should try to change analogously. The fourth (which defaults to "1") is
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a number of iterations. One can also specify a defined seed falue for the
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random number generator.
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The above might produce output such as
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ppqqss: 6 (avg time 869.0, avg temp 23.4)
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ppqqrs: 4 (avg time 439.0, avg temp 37.3)
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The first number indicates how many times Copycat chose that string as its
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answer; higher means "more obvious". The last number indicates the average
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final temperature of the workspace; lower means "more elegant".
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"""
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import argparse
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import logging
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from copycat import Copycat, Reporter
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class SimpleReporter(Reporter):
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def report_answer(self, answer):
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print('Answered %s (time %d, final temperature %.1f)' % (
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answer['answer'], answer['time'], answer['temp'],
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))
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def main():
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logging.basicConfig(level=logging.INFO, format='%(message)s', filename='./copycat.log', filemode='w')
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@ -27,5 +52,6 @@ def main():
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for answer, d in sorted(iter(answers.items()), key=lambda kv: kv[1]['avgtemp']):
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print('%s: %d (avg time %.1f, avg temp %.1f)' % (answer, d['count'], d['avgtime'], d['avgtemp']))
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if __name__ == '__main__':
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main()
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