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Adds notes to temperature.py

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LSaldyt
2017-09-29 13:47:03 -06:00
parent 60a5274066
commit 665bf1f778
3 changed files with 42 additions and 240 deletions
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61
copycat/temperature.py
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@ -212,6 +212,44 @@ class Temperature(object):
Need to play with this more... and WTF is f anyways?
LSaldyt:
Recall self.value():
def value(self):
return 100.0 if self.clamped else self.actual_value
f in terms of value() and value only
f = ((10 - sqrt(100 - self.value()))/100 + 1) * value
For the original LISP program:
; This function is a filter: it inputs a value (from 0 to 100) and returns
; a probability (from 0 - 1) based on that value and the temperature. When
; the temperature is 0, the result is (/ value 100), but at higher
; temperatures, values below 50 get raised and values above 50 get lowered
; as a function of temperature.
; I think this whole formula could probably be simplified.
(setq result
(cond ((= prob 0) 0)
((<= prob .5)
(setq low-prob-factor (max 1 (truncate (abs (log prob 10)))))
(min (+ prob
(* (/ (- 10 (sqrt (fake-reciprocal *temperature*)))
100)
(- (expt 10 (- (1- low-prob-factor))) prob)))
.5))
((= prob .5) .5)
((> prob .5)
(max (- 1
(+ (- 1 prob)
(* (/ (- 10 (sqrt (fake-reciprocal *temperature*)))
100)
(- 1 (- 1 prob)))))
.5))))
result)
"""
if value == 0 or value == 0.5 or self.value() == 0:
return value
@ -221,22 +259,7 @@ class Temperature(object):
a = math.sqrt(coldness)
c = (10 - a) / 100
f = (c + 1) * value
return (0 + (-f * math.log2(f))) # max(f, 0.0000)
def getAdjustedProbability(self, value):
# Recall self.value():
# def value(self):
# return 100.0 if self.clamped else self.actual_value
#
# f in terms of value() and value only
# f = ((10 - sqrt(100 - self.value()))/100 + 1) * value
if value == 0 or value == 0.5 or self.value() == 0:
return value
if value < 0.5:
return 1.0 - self.getAdjustedProbability(1.0 - value)
coldness = 100.0 - self.value()
a = math.sqrt(coldness)
c = (10 - a) / 100
f = (c + 1) * value
return max(f, 0.5)
# return max(f, 0.5)
# return max(f, 0.0)
# return (0 + (-f * math.log2(f)))
return -f * math.log2(f)

168
temp_usages.txt
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@ -1,168 +0,0 @@
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: weightedStrength1 = temperature.getAdjustedValue(
copycat/codeletMethods.py: weightedStrength2 = temperature.getAdjustedValue(
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probabilityOfSlippage = temperature.getAdjustedProbability(slippiness)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probabilityOfFizzle = (100.0 - temperature.value()) / 100.0
copycat/codeletMethods.py: breakProbability = temperature.getAdjustedProbability(
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probability = temperature.getAdjustedProbability(association)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probability = temperature.getAdjustedProbability(strength / 100.0)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: temperature.getAdjustedValue(node.conceptualDepth)
copycat/codeletMethods.py: temperature.getAdjustedValue(node.conceptualDepth)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probability = temperature.getAdjustedProbability(rule.totalStrength / 100.0)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probability = temperature.getAdjustedProbability(strength / 100.0)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probability = temperature.getAdjustedProbability(strength / 100.0)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: if cutoff >= temperature.actual_value:
copycat/codeletMethods.py: temperature.clampUntil(coderack.codeletsRun + 100)
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: weights = [temperature.getAdjustedValue(n.conceptualDepth) for n in descriptors]
copycat/codeletMethods.py: temperature = ctx.temperature
copycat/codeletMethods.py: probability = temperature.getAdjustedProbability(strength / 100.0)
copycat/coderack.py: temperature = self.ctx.temperature
copycat/coderack.py: return (temperature.value() / 100.0) ** 2
copycat/coderack.py: temperature = self.ctx.temperature
copycat/coderack.py: if temperature.value() < 25.0 and 'translator' in codeletName:
copycat/coderack.py: temperature = self.ctx.temperature
copycat/coderack.py: scale = (100.0 - temperature.value() + 10.0) / 15.0
copycat/copycat.py:from .temperature import Temperature
copycat/copycat.py: def report_temperature(self, temperature):
copycat/copycat.py: self.temperature = Temperature()
copycat/copycat.py: self.temperature.tryUnclamp(currentTime)
copycat/copycat.py: self.temperature.update(self.workspace.getUpdatedTemperature())
copycat/copycat.py: self.reporter.report_temperature(self.temperature)
copycat/copycat.py: self.temperature.reset()
copycat/copycat.py: 'temp': self.temperature.last_unclamped_value,
copycat/copycat.py: 'sumtemp': 0,
copycat/copycat.py: d['sumtemp'] += answer['temp']
copycat/copycat.py: d['avgtemp'] = d.pop('sumtemp') / d['count']
copycat/curses_reporter.py: self.temperatureWindow = SafeSubwindow(window, height, 5, 0, 0)
copycat/curses_reporter.py: for w in [self.temperatureWindow, self.upperWindow, self.answersWindow, self.fpsWindow]:
copycat/curses_reporter.py: w = self.temperatureWindow # just a random window
copycat/curses_reporter.py: 'sumtemp': 0,
copycat/curses_reporter.py: d['sumtemp'] += answer['temp']
copycat/curses_reporter.py: d['avgtemp'] = d['sumtemp'] / d['count']
copycat/curses_reporter.py: return 3 * d['count'] - d['avgtemp']
copycat/curses_reporter.py: return '%s: %d (avg time %.1f, avg temp %.1f)' % (
copycat/curses_reporter.py: d['answer'], d['count'], d['avgtime'], d['avgtemp'],
copycat/curses_reporter.py: def report_temperature(self, temperature):
copycat/curses_reporter.py: w = self.temperatureWindow
copycat/curses_reporter.py: mercury = max_mercury * temperature.value() / 100.0
copycat/curses_reporter.py: w.addnstr(height - 2, 1, '%3d' % temperature.actual_value, 3)
copycat/group.py: temperature = self.ctx.temperature
copycat/group.py: return temperature.getAdjustedProbability(supportedActivation)
copycat/group.py: temperature = self.ctx.temperature
copycat/group.py: value = temperature.getAdjustedProbability(probability)
copycat/temperature.py: iiijjjlll: 670 (avg time 1108.5, avg temp 23.6)
copycat/temperature.py: iiijjjd: 2 (avg time 1156.0, avg temp 35.0)
copycat/temperature.py: iiijjjkkl: 315 (avg time 1194.4, avg temp 35.5)
copycat/temperature.py: iiijjjkll: 8 (avg time 2096.8, avg temp 44.1)
copycat/temperature.py: iiijjjkkd: 5 (avg time 837.2, avg temp 48.0)
copycat/temperature.py: wyz: 5 (avg time 2275.2, avg temp 14.9)
copycat/temperature.py: xyd: 982 (avg time 2794.4, avg temp 17.5)
copycat/temperature.py: yyz: 7 (avg time 2731.9, avg temp 25.1)
copycat/temperature.py: dyz: 2 (avg time 3320.0, avg temp 27.1)
copycat/temperature.py: xyy: 2 (avg time 4084.5, avg temp 31.1)
copycat/temperature.py: xyz: 2 (avg time 1873.5, avg temp 52.1)
copycat/temperature.py: wyz: 7 (avg time 3192.9, avg temp 13.1)
copycat/temperature.py: xyd: 985 (avg time 2849.1, avg temp 17.5)
copycat/temperature.py: yyz: 6 (avg time 3836.7, avg temp 18.6)
copycat/temperature.py: xyy: 1 (avg time 1421.0, avg temp 19.5)
copycat/temperature.py: xyz: 1 (avg time 7350.0, avg temp 48.3)
copycat/temperature.py: wyz: 8 (avg time 4140.5, avg temp 13.3)
copycat/temperature.py: yyz: 6 (avg time 2905.2, avg temp 14.5)
copycat/temperature.py: xyd: 982 (avg time 3025.4, avg temp 17.6)
copycat/temperature.py: dyz: 4 (avg time 4265.0, avg temp 17.7)
copycat/temperature.py: dyz: 1 (avg time 5198.0, avg temp 15.3)
copycat/temperature.py: wyz: 3 (avg time 4043.7, avg temp 17.1)
copycat/temperature.py: yyz: 9 (avg time 3373.6, avg temp 21.0)
copycat/temperature.py: xyd: 84 (avg time 5011.1, avg temp 23.3)
copycat/temperature.py: xyy: 3 (avg time 4752.0, avg temp 27.9)
copycat/temperature.py: xyd: 1000 (avg time 1625.2, avg temp 17.3)
copycat/temperature.py: xyz: 3 (avg time 3996.7, avg temp 81.1)
copycat/temperature.py: dyz: 46 (avg time 5931.7, avg temp 82.6)
copycat/temperature.py: xd: 17 (avg time 6090.3, avg temp 83.8)
copycat/temperature.py: xyd: 934 (avg time 7699.8, avg temp 88.1)
copycat/temperature.py: wyz: 123 (avg time 5933.1, avg temp 16.5)
copycat/temperature.py: xyy: 200 (avg time 6486.7, avg temp 27.8)
copycat/temperature.py: yyz: 330 (avg time 6310.2, avg temp 38.5)
copycat/temperature.py: dyz: 75 (avg time 6393.3, avg temp 39.6)
copycat/temperature.py: yzz: 5 (avg time 4965.0, avg temp 59.3)
copycat/temperature.py: xyz: 160 (avg time 6886.2, avg temp 60.2)
copycat/temperature.py: xd: 4 (avg time 2841.0, avg temp 61.8)
copycat/temperature.py: dz: 3 (avg time 3721.0, avg temp 62.1)
copycat/temperature.py: xyd: 100 (avg time 5853.1, avg temp 67.5)
copycat/temperature.py: wyz: 78 (avg time 7793.7, avg temp 16.6)
copycat/temperature.py: xyy: 202 (avg time 9168.5, avg temp 27.5)
copycat/temperature.py: wxz: 1 (avg time 3154.0, avg temp 33.4)
copycat/temperature.py: dyz: 63 (avg time 7950.3, avg temp 41.7)
copycat/temperature.py: yyz: 217 (avg time 8147.4, avg temp 41.7)
copycat/temperature.py: xyz: 201 (avg time 7579.7, avg temp 62.5)
copycat/temperature.py: xxy: 1 (avg time 7994.0, avg temp 64.8)
copycat/temperature.py: yzz: 8 (avg time 4672.6, avg temp 65.7)
copycat/temperature.py: xd: 9 (avg time 9215.2, avg temp 68.1)
copycat/temperature.py: xyd: 217 (avg time 7677.9, avg temp 73.8)
copycat/temperature.py: dz: 3 (avg time 20379.0, avg temp 77.3)
copycat/temperature.py: xyd: 100 (avg time 2984.3, avg temp 18.2)
copycat/temperature.py: jijjkk: 66 (avg time 3200.1, avg temp 61.3)
copycat/temperature.py: iijjkk: 114 (avg time 5017.2, avg temp 63.5)
copycat/temperature.py: dijjkk: 23 (avg time 2209.0, avg temp 67.3)
copycat/temperature.py: iijjkl: 748 (avg time 3262.8, avg temp 70.0)
copycat/temperature.py: iijjkd: 49 (avg time 2315.9, avg temp 76.3)
copycat/temperature.py: iijjll: 59 (avg time 797.4, avg temp 19.8)
copycat/temperature.py: iijjkl: 41 (avg time 696.1, avg temp 28.5)
copycat/temperature.py: mrrlll: 77 (avg time 2195.7, avg temp 41.4)
copycat/temperature.py: mrrd: 2 (avg time 1698.0, avg temp 42.6)
copycat/temperature.py: mrrkkl: 20 (avg time 1317.8, avg temp 46.6)
copycat/temperature.py: mrrkkd: 1 (avg time 1835.0, avg temp 48.6)
copycat/temperature.py: nrrkkk: 11 (avg time 3637.8, avg temp 64.6)
copycat/temperature.py: drrkkk: 3 (avg time 5921.3, avg temp 66.2)
copycat/temperature.py: mrrkkd: 7 (avg time 6771.3, avg temp 74.6)
copycat/temperature.py: mrrkkl: 79 (avg time 3723.0, avg temp 74.9)
copycat/tests.py:def lower_bound_on_probability(hits, attempts, confidence=0.95):
copycat/tests.py: if attempts == 0:
copycat/tests.py: phat = 1.0 * hits / attempts
copycat/tests.py: under_sqrt = (phat * (1 - phat) + zsqr / (4 * attempts)) / attempts
copycat/tests.py: denominator = (1 + zsqr / attempts)
copycat/tests.py: return (phat + zsqr / (2 * attempts) - z * (under_sqrt ** 0.5)) / denominator
copycat/tests.py:def upper_bound_on_probability(hits, attempts, confidence=0.95):
copycat/tests.py: misses = attempts - hits
copycat/tests.py: return 1.0 - lower_bound_on_probability(misses, attempts, confidence)
copycat/tests.py: if abs(actual[k]['avgtemp'] - expected[k]['avgtemp']) >= 10.0 + (10.0 / actual[k]['count']):
copycat/tests.py: print('Failed (%s - %s >= %s)' % (actual[k]['avgtemp'], expected[k]['avgtemp'], 10.0 + (10.0 / actual[k]['count'])))
copycat/tests.py: 'efd': {'count': 1, 'avgtemp': 16},
copycat/tests.py: 'efh': {'count': 99, 'avgtemp': 19},
copycat/tests.py: 'ijd': {'count': 4, 'avgtemp': 24},
copycat/tests.py: 'ijl': {'count': 96, 'avgtemp': 20},
copycat/tests.py: 'xyd': {'count': 100, 'avgtemp': 19},
copycat/tests.py: 'ijkkk': {'count': 7, 'avgtemp': 21},
copycat/tests.py: 'ijll': {'count': 47, 'avgtemp': 28},
copycat/tests.py: 'ijkl': {'count': 44, 'avgtemp': 32},
copycat/tests.py: 'ijkd': {'count': 2, 'avgtemp': 65},
copycat/tests.py: 'mrrjjjj': {'count': 4, 'avgtemp': 16},
copycat/tests.py: 'mrrkkk': {'count': 31, 'avgtemp': 47},
copycat/tests.py: 'mrrjjk': {'count': 64, 'avgtemp': 51},
copycat/tests.py: 'mrrjkk': {'count': 1, 'avgtemp': 52},
copycat/tests.py: 'mrrjjd': {'count': 1, 'avgtemp': 54},
copycat/tests.py: 'milj': {'count': 85, 'avgtemp': 55},
copycat/tests.py: 'mikj': {'count': 10, 'avgtemp': 56},
copycat/tests.py: 'milk': {'count': 1, 'avgtemp': 56},
copycat/tests.py: 'lilk': {'count': 1, 'avgtemp': 57},
copycat/tests.py: 'milb': {'count': 3, 'avgtemp': 57},
copycat/tests.py: 'xc': {'count': 9, 'avgtemp': 57},
copycat/tests.py: 'xyc': {'count': 82, 'avgtemp': 59},
copycat/tests.py: 'cyx': {'count': 7, 'avgtemp': 68},
copycat/tests.py: 'xyx': {'count': 2, 'avgtemp': 69},
copycat/tests.py: 'cakg': {'count': 99, 'avgtemp': 70},
copycat/tests.py: 'gake': {'count': 1, 'avgtemp': 59},
copycat/tests.py: 'kitteg': {'count': 96, 'avgtemp': 66},
copycat/tests.py: 'kitten': {'count': 4, 'avgtemp': 68},
copycat/workspaceFormulas.py: temperature = ctx.temperature
copycat/workspaceFormulas.py: temperature.getAdjustedValue(

53
todos.txt
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@ -1,53 +0,0 @@
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO:use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/codeletMethods.py: # TODO: use entropy
copycat/coderack.py: # TODO: use entropy
copycat/coderack.py: # TODO: use entropy
copycat/coderack.py: # TODO: use entropy
copycat/coderack.py: # TODO: use entropy
copycat/coderack.py: # TODO: use entropy
copycat/coderack.py: # TODO: use entropy
copycat/copycat.py: def report_temperature(self, temperature): #TODO: use entropy
copycat/copycat.py: self.temperature = Temperature() # TODO: use entropy
copycat/copycat.py: self.temperature.tryUnclamp(currentTime) # TODO: use entropy
copycat/copycat.py: self.temperature.update(self.workspace.getUpdatedTemperature()) # TODO: use entropy
copycat/copycat.py: self.temperature.reset() # TODO: use entropy
copycat/copycat.py: 'temp': self.temperature.last_unclamped_value, # TODO: use entropy
copycat/copycat.py: 'sumtemp': 0, # TODO: use entropy
copycat/copycat.py: d['sumtemp'] += answer['temp'] # TODO: use entropy
copycat/curses_reporter.py: self.temperatureWindow = SafeSubwindow(window, height, 5, 0, 0) # TODO: use entropy (entropyWindow)
copycat/curses_reporter.py: #TODO: use entropy
copycat/group.py: #TODO: use entropy
copycat/group.py: #TODO: use entropy
copycat/temperature.py: # TODO: use entropy
copycat/tests.py:# TODO: update test cases to use entropy
copycat/workspaceFormulas.py: # TODO: use entropy
copycat/workspaceObject.py: from .group import Group # gross, TODO FIXME
copycat/workspace.py: # TODO: Initial part of refactoring in this method
copycat/workspace.py: # TODO: Extract method?
copycat/workspace.py: # TODO: these 3 methods seem to be the same... are they? If so, Extract method.
copycat/workspace.py: # TODO: use entropy