def transform(self, particleArray):
'''Given an array of Particles, select one and process
'''
if len(particleArray) == 0: # empty
return None
pIndex = random.choice(range(len(particleArray)))
p = particleArray[pIndex]
# only process if state matches current state of this particle
if p.getState() != self.getState():
return particleArray # return unaltered reference
# find transform
if self.getState() not in self.transformMap.keys():
return None
weights = []
options = []
for o, w in self.transformMap[self.getState()]:
weights.append(w)
options.append(o)
boundary = unit.unitBoundaryProportion(weights)
i = unit.unitBoundaryPos(random.random(), boundary)
result = options[i] # index is in position
if result == None: # remove
#environment.printDebug(['transform(); removing particle:', p])
particleArray.pop(pIndex)
# if a string value the same as the current state of the particle
elif result == p.getState():
pass # do nothing
else: # not yet implemented: need to convert do a different state
# for this wee need a life cycle argument
pass
def next(self, unitVal, previous, order, slide=1):
"""generate the next value of the a new chain
unitVal is floating point number b/n 0 and 1; can be generated
by any distribution. this value determines the selection of values
previous is a list of values that will be analaized
if the list is insufficiant for the order, if slide, will use
next available order, otherwise, will use zero order
order may be a float; if so it will use weighting from drawer
"""
symbols = list(self._symbols.keys())
# get appropriate order: if a float, will be dynamically allocated
order = drawer.floatToInt(order, 'weight')
if order not in list(range(0, self._ordersSrc[-1]+1)):
order = self._ordersSrc[-1] # use highest defined
#print _MOD, 'using order', order
# get appropriate key of given length of previous
prevLen = len(previous)
if prevLen <= order: # if less then specified by order
if slide: # use length as order
srcSeq = self._valueListToSymbolList(previous)
else: srcSeq = () # jump to zeroth
else: # if values are greater in length than order
if order == 0: srcSeq = ()
else:
srcSeq = self._valueListToSymbolList(previous[-order:])
# determine of there is a direct match, or an expression match
wList = self._findWeights(srcSeq) # may return None
# if none, will create equal distribution of all symbols
# return parallel lists of weights, symbols, both in same order
wPost, sDeclared = self._scrubWeights(wList)
#print _MOD, 'order, wPost, sDeclared', order, wPost, sDeclared
boundary = unit.unitBoundaryProportion(wPost)
i = unit.unitBoundaryPos(unitVal, boundary)
# get symbol, then de-signify symbols into the store value
return self._symbols[sDeclared[i]]
def transform(self, particleArray):
'''Given an array of Particles, select one and process
'''
if len(particleArray) == 0: # empty
return None
pIndex = random.choice(range(len(particleArray)))
p = particleArray[pIndex]
# only process if state matches current state of this particle
if p.getState() != self.getState():
return particleArray # return unaltered reference
# find transform
if self.getState() not in self.transformMap.keys():
return None
weights = []
options = []
for o, w in self.transformMap[self.getState()]:
weights.append(w)
options.append(o)
boundary = unit.unitBoundaryProportion(weights)
i = unit.unitBoundaryPos(random.random(), boundary)
result = options[i] # index is in position
if result == None: # remove
#environment.printDebug(['transform(); removing particle:', p])
particleArray.pop(pIndex)
# if a string value the same as the current state of the particle
elif result == p.getState():
pass # do nothing
else: # not yet implemented: need to convert do a different state
# for this wee need a life cycle argument
pass
def next(self, unitVal, previous, order, slide=1):
"""generate the next value of the a new chain
unitVal is floating point number b/n 0 and 1; can be generated
by any distribution. this value determines the selection of values
previous is a list of values that will be analaized
if the list is insufficiant for the order, if slide, will use
next available order, otherwise, will use zero order
order may be a float; if so it will use weighting from drawer
"""
symbols = self._symbols.keys()
# get appropriate order: if a float, will be dynamically allocated
order = drawer.floatToInt(order, 'weight')
if order not in range(0, self._ordersSrc[-1]+1):
order = self._ordersSrc[-1] # use highest defined
#print _MOD, 'using order', order
# get appropriate key of given length of previous
prevLen = len(previous)
if prevLen <= order: # if less then specified by order
if slide: # use length as order
srcSeq = self._valueListToSymbolList(previous)
else: srcSeq = () # jump to zeroth
else: # if values are greater in length than order
if order == 0: srcSeq = ()
else:
srcSeq = self._valueListToSymbolList(previous[-order:])
# determine of there is a direct match, or an expression match
wList = self._findWeights(srcSeq) # may return None
# if none, will create equal distribution of all symbols
# return parallel lists of weights, symbols, both in same order
wPost, sDeclared = self._scrubWeights(wList)
#print _MOD, 'order, wPost, sDeclared', order, wPost, sDeclared
boundary = unit.unitBoundaryProportion(wPost)
i = unit.unitBoundaryPos(unitVal, boundary)
# get symbol, then de-signify symbols into the store value
return self._symbols[sDeclared[i]]
def roll(self):
valCont = random.random() # continueous value
if self.sideNo == 0:
self.valueLast = valCont
else:
i = unit.unitBoundaryPos(valCont, self.sideBounds)
a, m, b = self.sideBounds[i]
self.valueLast = m
def roll(self):
valCont = random.random() # continueous value
if self.sideNo == 0:
self.valueLast = valCont
else:
i = unit.unitBoundaryPos(valCont, self.sideBounds)
a, m, b = self.sideBounds[i]
self.valueLast = m
def __next__(self):
'''Apply all rules and produce a new self._state
>>> g = Grammar()
>>> g.load('a{3}b{4} @ a{bab}b{aab} @ abaa')
>>> str(g)
'a{3}b{4}@a{bab}b{aab}@abaa'
>>> g.next()
>>> g.getState()
'babaabbabbab'
>>> g.next()
>>> g.getState()
'aabbabaabbabbabaabaabbabaabaabbabaab'
>>> g.getState(values=True)
[3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0, 3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0, 3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0]
>>> g = Grammar()
>>> g.load('a{3}b{4}c{20}d{2} @ a{bab}b{acb}c{ac}d{cd} @ abd')
>>> str(g)
'a{3}b{4}c{20}d{2}@a{bab}c{ac}b{acb}d{cd}@abd'
>>> g.next()
>>> g.getState()
'babacbcd'
>>> g.next()
>>> g.getState()
'acbbabacbbabacacbaccd'
>>> g = Grammar()
>>> g.load('a{a}b{b} @ a{ab}b{a} @ b')
>>> g.getState()
'b'
>>> g.next()
>>> g.getState()
'a'
>>> g.next()
>>> g.getState()
'ab'
>>> g.next()
>>> g.getState()
'aba'
>>> g.next()
>>> g.getState()
'abaab'
>>> g.next()
>>> g.getState()
'abaababa'
'''
if self._state == None or self._state == '':
self._state = self._axiom # a copy in principle
stateNew = self._state # copy
matchTag = [] # matched start indices
replacementCount = 0
# make groups of index values, src groups to match
# need to find largest rule in size
indexCharPairs = []
# self._maxRuleOutputSize
#environment.printDebug(['next(): self._state', self._state])
for size in range(1, self._maxRuleOutputSize + 1):
#for size in range(1, 2):
for i in range(0, len(self._state), size):
pair = (i, self._state[i:i + size])
if pair not in indexCharPairs:
indexCharPairs.append(pair)
for inRule, outRule in list(self._rules.items()):
environment.printDebug(
['next(): in/out rule',
repr(inRule), outRule])
# grammar.py: next(): in/out rule '*' [('ab',1)]
#environment.printDebug(['next(): index char pairs', indexCharPairs])
# char here may be 1 or more characters, up to max rule size
for i, char in indexCharPairs:
#for i, char in enumerate(self._state):
# comparison to rule
match = False
# test single character, exact match
if inRule == self.EXPRESSALL or inRule == char:
match = True
# if mutliple characters, and one is expressall, and lenght
# is the same
elif (len(inRule) > 1 and len(inRule) == len(char)
and self.EXPRESSALL in inRule):
matchChar = 0
for j in range(len(inRule)):
if inRule[j] == char[j] or inRule[j] == self.EXPRESSALL:
matchChar += 1
if matchChar == len(inRule):
match = True
if not match:
continue
# need to find cases of two or more char matches
# store a string of index in the temp to mark positions
# can find first instance of symbol; will not
# be past symbols b/c we are replacing with the old index nums
iNew = stateNew.find(char)
pre = stateNew[:iNew]
# skip location
post = stateNew[iNew + len(char):]
# insert marker as a random cod
tag = self._tagIn(replacementCount)
replacementCount += 1
stateNew = pre + tag + post
#environment.printDebug(['next(): stateNew', stateNew, repr(pre), repr(tag), repr(post)])
# make a rule section
# if only one rule, simply provide it
if len(outRule) == 1:
# a list of value, weight pairSymbol
replacement = outRule[0][0]
# if more than one rule, do a weighted selection
else:
options = []
weights = []
for o, w in outRule:
options.append(o)
weights.append(w)
# create unit boundaries from ordered weights
boundary = unit.unitBoundaryProportion(weights)
i = unit.unitBoundaryPos(random.random(), boundary)
replacement = options[i] # index is in position
# a lost of all replacements to make, between the tag and the
# replacement
matchTag.append([tag, replacement])
# do all replacements
#environment.printDebug(['stateNew: prereplace', stateNew])
for tag, replacement in matchTag:
# these are not actual indices but tags to points in the scratch
iNew = stateNew.find(tag)
pre = stateNew[:iNew]
# skip location
post = stateNew[iNew + len(tag):]
# insert final value
stateNew = pre + replacement + post
#environment.printDebug(['stateNew: post', stateNew])
# replace old
self._state = stateNew
def next(self):
'''Apply all rules and produce a new self._state
>>> g = Grammar()
>>> g.load('a{3}b{4} @ a{bab}b{aab} @ abaa')
>>> str(g)
'a{3}b{4}@a{bab}b{aab}@abaa'
>>> g.next()
>>> g.getState()
'babaabbabbab'
>>> g.next()
>>> g.getState()
'aabbabaabbabbabaabaabbabaabaabbabaab'
>>> g.getState(values=True)
[3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0, 3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0, 3.0, 3.0, 4.0, 4.0, 3.0, 4.0, 3.0, 3.0, 4.0]
>>> g = Grammar()
>>> g.load('a{3}b{4}c{20}d{2} @ a{bab}b{acb}c{ac}d{cd} @ abd')
>>> str(g)
'a{3}b{4}c{20}d{2}@a{bab}c{ac}b{acb}d{cd}@abd'
>>> g.next()
>>> g.getState()
'babacbcd'
>>> g.next()
>>> g.getState()
'acbbabacbbabacacbaccd'
>>> g = Grammar()
>>> g.load('a{a}b{b} @ a{ab}b{a} @ b')
>>> g.getState()
'b'
>>> g.next()
>>> g.getState()
'a'
>>> g.next()
>>> g.getState()
'ab'
>>> g.next()
>>> g.getState()
'aba'
>>> g.next()
>>> g.getState()
'abaab'
>>> g.next()
>>> g.getState()
'abaababa'
'''
if self._state == None or self._state == '':
self._state = self._axiom # a copy in principle
stateNew = self._state # copy
matchTag = [] # matched start indices
replacementCount = 0
# make groups of index values, src groups to match
# need to find largest rule in size
indexCharPairs = []
# self._maxRuleOutputSize
#environment.printDebug(['next(): self._state', self._state])
for size in range(1, self._maxRuleOutputSize+1):
#for size in range(1, 2):
for i in range(0, len(self._state), size):
pair = (i, self._state[i:i+size])
if pair not in indexCharPairs:
indexCharPairs.append(pair)
for inRule, outRule in self._rules.items():
environment.printDebug(['next(): in/out rule', repr(inRule), outRule])
# grammar.py: next(): in/out rule '*' [('ab',1)]
#environment.printDebug(['next(): index char pairs', indexCharPairs])
# char here may be 1 or more characters, up to max rule size
for i, char in indexCharPairs:
#for i, char in enumerate(self._state):
# comparison to rule
match = False
# test single character, exact match
if inRule == self.EXPRESSALL or inRule == char:
match = True
# if mutliple characters, and one is expressall, and lenght
# is the same
elif (len(inRule) > 1 and len(inRule) == len(char)
and self.EXPRESSALL in inRule):
matchChar = 0
for j in range(len(inRule)):
if inRule[j] == char[j] or inRule[j] == self.EXPRESSALL:
matchChar += 1
if matchChar == len(inRule):
match = True
if not match:
continue
# need to find cases of two or more char matches
# store a string of index in the temp to mark positions
# can find first instance of symbol; will not
# be past symbols b/c we are replacing with the old index nums
iNew = stateNew.find(char)
pre = stateNew[:iNew]
# skip location
post = stateNew[iNew+len(char):]
# insert marker as a random cod
tag = self._tagIn(replacementCount)
replacementCount += 1
stateNew = pre + tag + post
#environment.printDebug(['next(): stateNew', stateNew, repr(pre), repr(tag), repr(post)])
# make a rule section
# if only one rule, simply provide it
if len(outRule) == 1:
# a list of value, weight pairSymbol
replacement = outRule[0][0]
# if more than one rule, do a weighted selection
else:
options = []
weights = []
for o, w in outRule:
options.append(o)
weights.append(w)
# create unit boundaries from ordered weights
boundary = unit.unitBoundaryProportion(weights)
i = unit.unitBoundaryPos(random.random(), boundary)
replacement = options[i] # index is in position
# a lost of all replacements to make, between the tag and the
# replacement
matchTag.append([tag, replacement])
# do all replacements
#environment.printDebug(['stateNew: prereplace', stateNew])
for tag, replacement in matchTag:
# these are not actual indices but tags to points in the scratch
iNew = stateNew.find(tag)
pre = stateNew[:iNew]
# skip location
post = stateNew[iNew+len(tag):]
# insert final value
stateNew = pre + replacement + post
#environment.printDebug(['stateNew: post', stateNew])
# replace old
self._state = stateNew
