使用python编写完整可运行可以将正规式((ab)|b)(a|(ba)*)a转化成NFA的代码，并将NFA以文本的形式输出，并可以使用graphviz进行查看

以下是使用Python编写将正则表达式转化为NFA的代码：

class State:
    def __init__(self, label=None, edges=None):
        self.label = label
        self.edges = edges or []

class NFA:
    def __init__(self, start, end):
        self.start = start
        self.end = end

def re_to_nfa(regex):
    stack = []
    for c in regex:
        if c == '|':
            s1, s2 = stack.pop(), stack.pop()
            start = State(edges=[s1.start, s2.start])
            end = State()
            s1.end.edges.append(end)
            s2.end.edges.append(end)
            stack.append(NFA(start, end))
        elif c == '*':
            s = stack.pop()
            start = State(edges=[s.start])
            end = State()
            s.end.edges = [s.start, end]
            stack.append(NFA(start, end))
        elif c == '+':
            s = stack.pop()
            start = State(edges=[s.start])
            end = State()
            s.end.edges = [s.start, end]
            stack.append(NFA(start, end))
        else:
            end = State()            
            start = State(label=c, edges=[end])
            stack.append(NFA(start, end))
    nfa = stack.pop()
    return nfa

def nfa_to_text(nfa):
    text = ''
    states = [nfa.start]
    visited = set()
    while states:
        state = states.pop()
        if state in visited:
            continue
        visited.add(state)
        text += f'{id(state)} [label="{state.label or ""}", shape=circle]\n'
        for edge in state.edges:
            text += f'{id(state)} -> {id(edge)}\n'
            states.append(edge)
    text += f'start [shape=point]\n'
    text += f'start -> {id(nfa.start)}\n'
    text += f'{id(nfa.end)} [shape=doublecircle]\n'
    return f'digraph NFA {{\n{text}}}'

使用示例：

import graphviz

regex = '((ab)|b)(a|(ba)*)a'
nfa = re_to_nfa(regex)
text = nfa_to_text(nfa)
graph = graphviz.Source(text)
graph.view()

这个代码将转化后的NFA以文本的形式输出，并使用graphviz进行可视化。