Back to SDS/2 Parametric Scripts
fname
= r'H:\TEMP\temsys\atom_trace.txt'
def atomtraceParse(fn):
fileList
= [x[x.find(")', ")+4:].replace(', aspect',
'').strip() for x in open(fn).readlines()]
dd
= {}
cnt
= 0
for item in fileList:
itemList = item.split('),
')
a
= itemList[0].split('(')
a1 = a[1].split(',
')
rangeList
= [eval(x.strip('[]()').split('(')[1].replace('unknown',
'False').replace('true', 'True')) for x in itemList[1:]]
dd['rec'+str(cnt)]=dict(seed=a[0], agent=a1[0], value=float(a1[1]), ranges=[x
for x in rangeList])
cnt
+= 1
return dd
dataDict
= atomtraceParse(fname)
keys = dataDict.keys()
keys.sort()
for key in keys:
for item in dataDict[key]:
print '%s: %s
= %s' % (key, item, dataDict[key][item])
for key in dd:
print '%s = %s' %
(key, dataDict[key])
''' Data file
atom_trace('emotion_response_level(a1, 1.56072)', emotion_response_level(a1,
1.56072), [range(49, 50, true), range(0, 49, unknown)])
atom_trace('emotion_response_level(a2, 1.81894)', emotion_response_level(a2,
1.81894), [range(49, 50, true), range(0, 49, unknown)])
atom_trace('emotion_response_level(a3, 1.51193)', emotion_response_level(a3,
1.51193), [range(49, 50, true), range(0, 49, unknown)])
atom_trace('emotion_response_level(a1, 1.85)', emotion_response_level(a1,
1.85), [range(1, 50, unknown), range(0, 1, true)])
atom_trace('emotion_response_level(a2, 1.2)', emotion_response_level(a2,
1.2), [range(1, 50, unknown), range(0, 1, true)])
atom_trace('emotion_response_level(a3, 0.7)', emotion_response_level(a3,
0.7), [range(1, 50, unknown), range(0, 1, true)])
atom_trace('emotion_response_level(a1, 1.84775)', emotion_response_level(a1,
1.84775), [range(2, 50, unknown), range(1, 2, true), range(0, 1, unknown)])
atom_trace('emotion_response_level(a2, 1.39275)', emotion_response_level(a2,
1.39275), [range(2, 50, unknown), range(1, 2, true), range(0, 1, unknown)])
atom_trace('emotion_response_level(a3, 1.04275)', emotion_response_level(a3,
1.04275), [range(2, 50, unknown), range(1, 2, true), range(0, 1, unknown)])
atom_trace('has_emotional_value(a1, aspect, 1.8)', has_emotional_value(a1,
aspect, 1.8), [range(3, 50, unknown), range(0, 3, true)])
atom_trace('has_emotional_value(a3, aspect, 1.8)', has_emotional_value(a3,
aspect, 1.8), [range(3, 50, unknown), range(0, 3, true)])
'''
''' Output
>>> rec0:
ranges = [(49, 50, True), (0, 49, False)]
rec0: seed = emotion_response_level
rec0: value =
1.56072
rec0: agent = a1
rec1: ranges = [(49,
50, True), (0, 49, False)]
rec1: seed = emotion_response_level
rec1: value =
1.81894
rec1: agent = a2
rec10: ranges = [(3,
50, False), (0, 3, True)]
rec10: seed = has_emotional_value
rec10: value = 1.8
rec10: agent = a3
rec2: ranges = [(49,
50, True), (0, 49, False)]
rec2: seed = emotion_response_level
rec2: value =
1.51193
rec2: agent = a3
rec3: ranges = [(1,
50, False), (0, 1, True)]
rec3: seed = emotion_response_level
rec3: value = 1.85
rec3: agent = a1
rec4: ranges = [(1,
50, False), (0, 1, True)]
rec4: seed = emotion_response_level
rec4: value = 1.2
rec4: agent = a2
rec5: ranges = [(1,
50, False), (0, 1, True)]
rec5: seed = emotion_response_level
rec5: value = 0.7
rec5: agent = a3
rec6: ranges = [(2,
50, False), (1, 2, True), (0, 1, False)]
rec6: seed = emotion_response_level
rec6: value =
1.84775
rec6: agent = a1
rec7: ranges = [(2,
50, False), (1, 2, True), (0, 1, False)]
rec7: seed = emotion_response_level
rec7: value =
1.39275
rec7: agent = a2
rec8: ranges = [(2,
50, False), (1, 2, True), (0, 1, False)]
rec8: seed = emotion_response_level
rec8: value =
1.04275
rec8: agent = a3
rec9: ranges = [(3,
50, False), (0, 3, True)]
rec9: seed = has_emotional_value
rec9: value = 1.8
rec9: agent = a1
rec10 = {'ranges':
[(3, 50, False), (0, 3, True)], 'seed': 'has_emotional_value',
'value': 1.8, 'agent': 'a3'}
rec8 = {'ranges':
[(2, 50, False), (1, 2, True), (0, 1, False)], 'seed': 'emotion_response_level',
'value': 1.0427500000000001, 'agent': 'a3'}
rec9 = {'ranges':
[(3, 50, False), (0, 3, True)], 'seed': 'has_emotional_value',
'value': 1.8, 'agent': 'a1'}
rec2 = {'ranges':
[(49, 50, True), (0, 49, False)], 'seed': 'emotion_response_level',
'value': 1.51193, 'agent': 'a3'}
rec3 = {'ranges':
[(1, 50, False), (0, 1, True)], 'seed': 'emotion_response_level',
'value': 1.8500000000000001, 'agent': 'a1'}
rec0 = {'ranges':
[(49, 50, True), (0, 49, False)], 'seed': 'emotion_response_level',
'value': 1.5607200000000001, 'agent': 'a1'}
rec1 = {'ranges':
[(49, 50, True), (0, 49, False)], 'seed': 'emotion_response_level',
'value': 1.81894, 'agent': 'a2'}
rec6 = {'ranges':
[(2, 50, False), (1, 2, True), (0, 1, False)], 'seed': 'emotion_response_level',
'value': 1.84775, 'agent': 'a1'}
rec7 = {'ranges':
[(2, 50, False), (1, 2, True), (0, 1, False)], 'seed': 'emotion_response_level',
'value': 1.3927499999999999, 'agent': 'a2'}
rec4 = {'ranges':
[(1, 50, False), (0, 1, True)], 'seed': 'emotion_response_level',
'value': 1.2, 'agent': 'a2'}
rec5 = {'ranges':
[(1, 50, False), (0, 1, True)], 'seed': 'emotion_response_level',
'value': 0.69999999999999996, 'agent': 'a3'}
>>>
'''