Reputation: 230
I would like to make an expression evaluator with pyparsing as follows:
Strings to be parsed should be usual expressions using combinations of ~ & | symbols (for not and or with, say, this precedence order) with strings of certain format (assume just single letters for now, a to z) where each letter evaluates to a list of booleans by a custom function (assume f), and the ~ & | operations to each boolean list should be applied pointwise.
i.e
a=[True, False] -> a=[True, False]
a=[True, False] -> ~a=[False, True]
a=[True, False] -> ~~a=[True, False]
a=[True, False] -> (((a)))=[True, False]
a=[True, False], b=[False,False], c=[True, True] -> ((a|b)&(~c))=[False, False]
to any nested level.
Any suggestions are appreciated.
EDIT: After reading the comment and also the comment's author's published e-book "Getting Started With Pyparsing" (O'Reilly), I have got to here:
class UnaryOperation(object):
def __init__(self, tokens):
self.operator, self.operand = tokens[0]
class BinaryOperation(object):
def __init__(self, tokens):
self.operator = tokens[0][1]
self.operands = tokens[0][0::2]
class SearchNot(UnaryOperation):
def generateExpression(self):
return u'~{}'.format(self.operand.generateExpression())
class SearchAnd(BinaryOperation):
def generateExpression(self):
return u'({})'.format('&'.join(op.generateExpression() for op in self.operands))
class SearchOr(BinaryOperation):
def generateExpression(self):
return u'({})'.format('|'.join(op.generateExpression() for op in self.operands))
class ConditionString(object):
def __init__(self, tokens):
self.term = tokens[0]
def generateExpression(self):
return str(mapper(self.term))
def mapper(input_string):
p = True
q = False
r = True
d = {u'b_1':[p,q,r],
u'a_1':[r,q,q],
u'c2':[p,p,r],
u'a1':[q,q,r],
u'a':[r,r,p],
u'd1':[q,p,p]}
return d[input_string] if input_string in d.keys() else 3*[True]
qname = Word(alphas+u'_', alphanums+u'_')
expression = operatorPrecedence(qname.setParseAction(ConditionString),
[(u'~', 1, opAssoc.RIGHT, SearchNot),
(u'&', 2, opAssoc.LEFT, SearchAnd),
(u'|', 2, opAssoc.LEFT, SearchOr)])
tests = [
u'b_1',
u'~a_1',
u'b_1&~c2',
u'~a1|(a&(((c2|d_1))))',
u'a&a1&b_1|c2'
]
for t in tests:
try:
evalStack = (expression + stringEnd).parseString(t)[0]
except ParseException, pe:
print "Invalid search string"
continue
evalExpr = evalStack.generateExpression()
print "Eval expr: ", evalExpr
which will print out
Eval expr: [True, False, True]
Eval expr: ~[True, False, False]
Eval expr: ([True, False, True]&~[True, True, True])
Eval expr: (~[False, False, True]|([True, True, True]&([True, True, True]|[True, True, True])))
Eval expr: (([True, True, True]&[False, False, True]&[True, False, True])|[True, True, True])
which is something like in the example presented in pages 59-60, but how could we proceed from here in a similar way with the eval() used there (but for sets)?
Upvotes: 0
Views: 451
Reputation: 63762
To add evaluation add eval()
methods to each of your classes. Each eval() method will perform the respective operation on your lists of bools:
list_wise_op(op, operands):
return [op(a_b) for a_b in zip(operands)]
# ConditionString
def eval(self):
return mapper(self.term)
#SearchNot
def eval(self):
return [not x for x in self.operand.eval()]
# SearchAnd
def eval(self):
return list_wise_op(all, [op.eval() for op in self.operands])
# SearchOr
def eval(self):
return list_wise_op(any, [op.eval() for op in self.operands])
Now you should be able to call evalstack.eval()
.
Upvotes: 1