1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
|
#!/usr/bin/python3
import itertools
import math
import re
from .lexer import lexer
# new lexer stuff
def tokenize(text):
# feed the troll
lexer.input(text)
# we are not interested in line numbers and absolute positions
return [(t.type, t.value) for t in lexer]
operators = set([
'FROM', 'IMPLIES', 'NOT',
'EQU', 'NEQU', 'EQ', 'NEQ', 'UNIV', 'IS', 'EQA', 'NEQA',
'LT', 'LE', 'GT', 'GE', 'LTL', 'LEL', 'GTL', 'GEL',
'PLUS', 'MINUS', 'STAR', 'DIV', 'IDIV', 'MOD',
'POW', 'SEMI'
])
def stringify(tokens):
def token_str(t):
if t[0] in ('PERIOD', 'COMMA'):
return t[1] + ' '
elif t[0] in operators:
return ' ' + t[1] + ' '
return t[1]
return ''.join(map(token_str, tokens))
# return a list of lines in 'code', and a list of rule indexes
def decompose(code):
lines = []
rules = []
tokens = tokenize(code)
tokens.append(('EOF', ''))
line = []
parens = []
rule_start = 0
for t in tokens:
if t[0] == 'SEMI':
if line != []:
lines.append(tuple(line))
line = []
lines.append((t,))
continue
if not parens:
if t[0] in ('PERIOD', 'FROM', 'COMMA', 'EOF'):
if line != []:
lines.append(tuple(line))
line = []
if t[0] in ('PERIOD', 'EOF') and rule_start < len(lines):
rules.append((rule_start, len(lines)))
rule_start = len(lines)
continue
if t[0] in ('LPAREN', 'LBRACKET', 'LBRACE'):
parens.append(t[0])
elif parens:
if t[0] == 'RPAREN' and parens[-1] == 'LPAREN':
parens.pop()
elif t[0] == 'RBRACKET' and parens[-1] == 'LBRACKET':
parens.pop()
elif t[0] == 'RBRACE' and parens[-1] == 'LBRACE':
parens.pop()
line.append(t)
return tuple(lines), tuple(rules)
# pretty-print a list of rules
def compose(lines, rules):
code = ''
for start, end in rules:
for i in range(start, end):
line = lines[i]
if i > start:
code += ' '
code += stringify(line)
if i == end-1:
code += '.\n'
elif i == start:
code += ' :-\n'
else:
if line and line[-1][0] != 'SEMI' and lines[i+1][-1][0] != 'SEMI':
code += ','
code += '\n'
return code.strip()
# standardize variable names in order of appearance
def rename_vars(tokens, names={}):
# copy names so we don't fuck it up
names = {k: v for k, v in names.items()}
next_id = len(names)
for i in range(len(tokens)):
if tokens[i][0] == 'PERIOD':
names.clear()
next_id = 0
elif tokens[i] == ('VARIABLE', '_'):
tokens[i] = ('VARIABLE', 'A' + str(next_id))
next_id += 1
elif tokens[i][0] == 'VARIABLE':
cur_name = tokens[i][1]
if cur_name not in names:
names[cur_name] = next_id
next_id += 1
tokens[i] = ('VARIABLE', 'A' + str(names[cur_name]))
return names
# transformation = before → after; applied on line which is part of rule
# return mapping from formal vars in before+after to actual vars in rule
# line and rule should of course not be normalized
def map_vars(before, after, line, rule):
mapping = {}
new_index = 0
for i in range(len(before)):
if line[i][0] == 'VARIABLE':
formal_name = before[i][1]
if line[i][1] != '_':
actual_name = line[i][1]
else:
actual_name = 'New'+str(new_index)
new_index += 1
mapping[formal_name] = actual_name
remaining_formal = set([t[1] for t in after if t[0] == 'VARIABLE' and t[1] not in mapping.keys()])
remaining_actual = set([t[1] for t in rule if t[0] == 'VARIABLE' and t[1] != '_' and t[1] not in mapping.values()])
#for i in range(0, len(remaining_formal)-len(remaining_actual)+2):
for var in remaining_formal:
remaining_actual.add('New'+str(new_index))
new_index += 1
# cthulhu-inspired horrors continue...
# get all possible mappings of remaining transform var. names to actual names
def match(a, b):
for bc in itertools.combinations(b, min(len(a), len(b))):
for bp in itertools.permutations(bc):
for ac in itertools.combinations(a, len(bc)):
yield {ac[i]: bp[i] for i in range(len(bc))}
for more_mapping in match(remaining_formal, remaining_actual):
# copy base mapping dict and add remaining vars
mapping_all = {k: v for k, v in mapping.items()}
mapping_all.update(more_mapping)
yield mapping_all
|