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Description:
remuoperator 1.0.1
Remu-Operator
This is framework to separate the resolution of operator precedence and associativity from parsing time,
by using a concise algorithm instead of Shunting Yard algorithm.
Taine Zhao is the author of this algorithm, and has named it "Operator Bubbling".
from remu_operator import Operator, binop_reduce
precedences = {
'+': 1,
'*': 2,
"^": 3,
}
left = False
right = True
associativities = {'+': left, '*': left, '^': right}
def cons(v):
return lambda l, r: '({} {} {})'.format(l, v, r)
x = binop_reduce(
cons,
[1, Operator("+"), 2,
Operator("*"), 3, Operator("^"), 4,
Operator("^"), 5, Operator("+"), 6,
Operator("*"), 7], precedences, associativities)
assert x == '((1 + (2 * (3 ^ (4 ^ 5)))) + (6 * 7))'
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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