[DP] 后缀表达式与求值 visitor

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后缀表达式与求值

# In[1]:

class Node(object):    passclass BinaryOperator(Node):    def __init__(self, left, right):        self.left = left        self.right = rightclass UnaryOperator(Node):    def __init__(self, operator):        self.operator = operatorclass Add(BinaryOperator):    passclass Sub(BinaryOperator):    passclass Mul(BinaryOperator):    passclass Div(BinaryOperator):    passclass Neg(UnaryOperator):    passclass Number(Node):    def __init__(self, value):        self.value = valueclass NodeVisitor(object):    def visit(self, node):        method = getattr(self,'visit_' + type(node).__name__, None)        if method is None:            method = self.genetic_visit        return method(node)    def genetic_visit(self, node):        raise RuntimeError("No {} method".format('visit_'+type(node).__name__))class Evaluator(NodeVisitor):    def visit_Number(self, node):        return node.value    def visit_Add(self, node):        return self.visit(node.left) +  self.visit(node.right)    def visit_Sub(self, node):        return self.visit(node.left) - self.visit(node.right)    def visit_Mul(self, node):        return self.visit(node.left) * self.visit(node.right)    def visit_Div(self, node):        return self.visit(node.left) / self.visit(node.right)    def visit_Neg(self, node):        return -self.visit(node)

# Out[1]:

evaluate the expression of 1 + 2 * (3 - 4) / 5

# In[2]:

t1  = Sub(Number(3) , Number(4))

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# In[3]:

t2 = Mul(Number(2), t1)

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# In[4]:

t3 = Div(t2, Number(5))

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# In[5]:

t4 = Add(Number(1), t3)

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# In[6]:

evaluator = Evaluator()

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# In[7]:

evaluator.visit(t4)

# Out[7]: 0.6

Number类相当于递归中的BaseCase, 这样递归不会是无尽地递归下去。

利用这一特点还可以写出求值过程中的后缀表达式。

implement the postfix expression operation

# In[8]:

class PostfixOperation(NodeVisitor):    def generate_instruction(self, node):        self.instruction = []        self.visit(node)        return self.instruction    def visit_Number(self, node):        self.instruction.append(( 'Push', node.value))    def visit_Add(self, node):        self.binary_op(node)        self.instruction.append(('Add',))    def binary_op(self, node):        self.visit(node.left)        self.visit(node.right)    def visit_Sub(self, node):        self.binary_op(node)        self.instruction.append(('Sub',))    def visit_Mul(self, node):        self.binary_op(node)        self.instruction.append(('Mul',))    def visit_Div(self, node):        self.binary_op(node)        self.instruction.append(('Div',))    def unary_op(self, node):        self.visit(node)    def Neg(self, node):        self.unary_op(node)        self.instruction.append(('Neg',))

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# In[9]:

postfix_op = PostfixOperation()

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# In[10]:

postfix_op.generate_instruction(t4)

# Out[10]: [(‘Push’, 1),

(‘Push’, 2),

(‘Push’, 3),

(‘Push’, 4),

(‘Sub’,),

(‘Mul’,),

(‘Push’, 5),

(‘Div’,),

(‘Add’,)]

可是,递归并不是python擅长的,印象中,最适合递归的是函数式编程语言scala,clojure等等。

所以python提供了sys.getcursionlimit(),sys.setrecursionlimi() 两个函数。

大家都知道,一切递归可以改为循环语句执行。

而对于python,对递归的最好的修改是把递归改为流控制(stream control),具体而言就是python的生成器,当然这也是需要循环的。

# In[11]:

import typesclass Node(object):    passclass BinaryOperator(Node):    def __init__(self, left, right):        self.left = left        self.right = rightclass UnaryOperator(Node):    def __init__(self, operator):        self.operator = operatorclass Add(BinaryOperator):    passclass Sub(BinaryOperator):    passclass Mul(BinaryOperator):    passclass Div(BinaryOperator):    passclass Neg(UnaryOperator):    passclass Number(Node):    def __init__(self, value):        self.value = valueclass NodeVisitor(object):    def visit(self, node):        last_result = None        stack = [node]        while stack:            try:                last = stack[-1]                if isinstance(last, types.GeneratorType):                    stack.append(last.send(last_result))                    last_result = None                elif isinstance(last, Node):                    stack.append(self._visit(stack.pop()))                else:                    last_result = stack.pop()            except StopIteration:                stack.pop()        return last_result    def _visit(self, node):        method = getattr(self,'visit_' + type(node).__name__, None)        if method is None:            method = self.genetic_visit        return method(node)    def genetic_visit(self, node):        raise RuntimeError("No {} method".format('visit_'+type(node).__name__))class Evaluator(NodeVisitor):    def visit_Number(self, node):        return node.value    def visit_Add(self, node):        lft = yield node.left        rht = yield node.right        yield lft + rht    def visit_Sub(self, node):        yield (yield node.left) - (yield node.right)    def visit_Mul(self, node):        yield (yield node.left) * (yield node.right)    def visit_Div(self, node):        yield (yield node.left) / (yield node.right)    def visit_Neg(self, node):        yield -(yield node.operator)

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# In[12]:

t1  = Sub(Number(3) , Number(4))t2 = Mul(Number(2), t1)t3 = Div(t2, Number(5))t4 = Add(Number(1), t3)

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# In[13]:

e = Evaluator()

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# In[14]:

e.visit(t4)

# Out[14]: 0.6

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