#coding=utf8

import logging
import itertools
import re
import sys

logger = logging.getLogger()
root_format = "[%(filename)s:%(lineno)s \t- %(funcName)-10s() ]: %(message)s"
logging.basicConfig(format=root_format)
logger.setLevel(logging.DEBUG)

branch_production_dict = [["pat1",["<suba1><subb1>","<suba2><subb2>"]],
       ["pat2",["<suba2.1><subb2.1>","<suba2.2><subb2.2>"]],
       ["pat3",["<suba3.1><subb3.1>","<suba3.2><subb3.2>"]]
      ]
leaf_production_dict_0 = {"suba1":['a1.1','a1.2'],
       'subb1':['b1.1','b1.2'],
       'suba2':['a2.1','a2.2'],
       'subb2':['b2.1','b2.2'],
       "suba2.1":['a1.1','a1.2'],
       'subb2.1':['b1.1','b1.2'],
       'suba2.2':['a2.1','a2.2'],
       'subb2.2':['b2.1','b2.2'],
       "suba3.1":['a1.1','a1.2'],
       'subb3.1':['b1.1','b1.2'],
       'suba3.2':['a2.1','a2.2'],
       'subb3.2':['b2.1','b2.2'],
       }
leaf_production_dict = {}
for i in leaf_production_dict_0.keys():
    val = []
    for j in leaf_production_dict_0[i]:
        val.append('<'+i+'>'+'('+j+')')
    leaf_production_dict[i]= val

dt3 = {}
dt4 = {}
logging.debug(str(branch_production_dict))

def prod_and_link(list_vec):
    res = []
    for i in itertools.product(*list_vec):
        tmp = list(i)
        one = ""
        for j in tmp:
            one += j
        #print(one)
        res.append(one)
        #print(res)
    return res
for ii in branch_production_dict:
    i=ii[0]
    #sys.stdout.write('for ')
    #print(i)
    logging.debug('for '+str(i))
    val = ii[1]
    ttt = []
    nttt = []
    for j in val:
        tmp_segs = re.split('>|<',j)
        segs=[]
        nt_segs=[]
        for k in tmp_segs:
            if len(k) > 0:
                segs.append(leaf_production_dict[k])
                nt_segs.append(['<'+k+'>'])
            #get a seg
        prod_res = prod_and_link(segs)
        logging.debug(str(nt_segs))
        nt_prod_res = prod_and_link(nt_segs)
        ttt += prod_res
        nttt += nt_prod_res
    logging.debug(str(ttt))
    dt3[i]=ttt
    dt4[i]=nttt

logging.debug(str(dt3))
dt4 = {}
for i in dt3.keys():
    dt4_val= []
    for j in dt3[i]:
        split_res = re.split('(>\()|(\)<)',j)
        split_res = list(split_res)
        logging.debug("split_res : "+str(split_res))
        #print(split_res)
        #print(type(split_res))
        n=0
        p = ''
        q = ''
        for k in [kk for kk in split_res if all([kk != None, kk!=')<',kk!='>('])]:
            logging.debug("kk in " + str([kk for kk in split_res if all([kk != None, kk!=')<',kk!='>('])]))
            if n == 0:
                p += '<'+k+'>'
                n = 1
            elif n == 1:
                q += '('+k+')'
                n = 0
            logging.debug("p:"+p+',q:'+q)

p = p[1:]
        q = q[:-1]
        dt4_val.append(p+'='+q)
    dt4[i] = dt4_val

logging.debug(str(dt4))
link_res = prod_and_link([['a','b'],['c','d']])
#print( link_res )
#[test2.py:110     - <module>  () ]: {'pat2': ['<suba2.1><subb2.1>=(a1.1)(b1.1)', '<suba2.1><subb2.1>=(a1.1)(b1.2)', '<suba2.1><subb2.1>=(a1.2)(b1.1)', '<suba2.1><subb2.1>=(a1.2)(b1.2)', '<suba2.2><subb2.2>=(a2.1)(b2.1)', '<suba2.2><subb2.2>=(a2.1)(b2.2)', '<suba2.2><subb2.2>=(a2.2)(b2.1)', '<suba2.2><subb2.2>=(a2.2)(b2.2)'], 'pat1': ['<suba1><subb1>=(a1.1)(b1.1)', '<suba1><subb1>=(a1.1)(b1.2)', '<suba1><subb1>=(a1.2)(b1.1)', '<suba1><subb1>=(a1.2)(b1.2)', '<suba2><subb2>=(a2.1)(b2.1)', '<suba2><subb2>=(a2.1)(b2.2)', '<suba2><subb2>=(a2.2)(b2.1)', '<suba2><subb2>=(a2.2)(b2.2)'], 'pat3': ['<suba3.1><subb3.1>=(a1.1)(b1.1)', '<suba3.1><subb3.1>=(a1.1)(b1.2)', '<suba3.1><subb3.1>=(a1.2)(b1.1)', '<suba3.1><subb3.1>=(a1.2)(b1.2)', '<suba3.2><subb3.2>=(a2.1)(b2.1)', '<suba3.2><subb3.2>=(a2.1)(b2.2)', '<suba3.2><subb3.2>=(a2.2)(b2.1)', '<suba3.2><subb3.2>=(a2.2)(b2.2)']}

using python to compute production rules的更多相关文章

  1. python爬虫scrapy之rules的基本使用

    Link Extractors Link Extractors 是那些目的仅仅是从网页(scrapy.http.Response 对象)中抽取最终将会被follow链接的对象。 Scrapy默认提供2 ...

  2. Python下划线与命名规范

    Python下划线与命名规范 先看结论,节省只想知道答案你的宝贵时间: _xxx 不能用于from module import * 以单下划线开头的表示的是protected类型的变量.即保护类型只能 ...

  3. Notes for "Python in a Nutshell"

    Introduction to Python Wrap C/C++ libraries into Python via Cython and CFFI. Python implementations ...

  4. python基础===requests学习笔记

    这里有一个新的学习requests网站:http://docs.python-requests.org/zh_CN/latest/user/quickstart.html2017/11/30 Requ ...

  5. (转)PEP 8——Python编码风格指南

    PEP 8——Python编码风格指南标签(空格分隔): Python PEP8 编码规范原文:https://lizhe2004.gitbooks.io/code-style-guideline-c ...

  6. 如何用 Python 和 API 收集与分析网络数据?

    摘自 https://www.jianshu.com/p/d52020f0c247 本文以一款阿里云市场历史天气查询产品为例,为你逐步介绍如何用 Python 调用 API 收集.分析与可视化数据.希 ...

  7. 优秀的PHP开源项目集合

    包管理Package Management Package Management Related 框架 框架组件 微框架Micro Frameworks 内容管理系统Content Managemen ...

  8. PHP框架、库和软件资源大全(整理篇)

    php的资料 https://github.com/ziadoz/awesome-php Awesome PHP A curated list of amazingly awesome PHP lib ...

  9. Checked Exceptions

    记得当年在程序员杂志上看出这次访谈,10多年过去了, 这件事儿最近被重提了, 原因是 Kotlin. 1.对Checked Exceptions特性持保留态度 (译者注:在写一段程序时,如果没有用tr ...

随机推荐

  1. linux操作系统及命令Part 1

    1.关于linux系统的安装与流程     (1)下载Vmware workstation 与 linux系统(centos版本.redhat版本.Ubuntu版本...)镜像. (2)详细安装见有道 ...

  2. NOIP2018复赛获奖名单

    根据<CCF NOIP2018复赛获奖分数线及名额分配办法>,现将NOIP2018复赛获奖名单公告如下: 复赛提高组一等奖获奖名单 复赛提高组二等奖获奖名单 复赛提高组三等奖获奖名单 复赛 ...

  3. POJ 3126 Prime Path bfs, 水题 难度:0

    题目 http://poj.org/problem?id=3126 题意 多组数据,每组数据有一个起点四位数s, 要变为终点四位数e, 此处s和e都是大于1000的质数,现在要找一个最短的路径把s变为 ...

  4. OOP⑷

    1.对象数组: /** *学生类 */ public class Student { // 创建一个对象数组保存3名学生的信息 Student[] stus = new Student[3]; int ...

  5. vue-5-列表渲染

    一个数组的v-for<ul id="example-1"> <li v-for="item in items"> {{ item.mes ...

  6. 基于MicroBlaze 的嵌入式系统设计

       reference: http://xilinx.eetrend.com/d6-xilinx/article/2013-03/3863.html 摘 要:当今时代,嵌入式系统已经无所不在,与人们 ...

  7. MyEclipse使用教程:在Web项目中使用Web片段

    MyEclipse 在线订购年终抄底促销!火爆开抢>> MyEclipse最新版下载 本教程向用户展示了使用关联的Web项目创建Web片段项目的机制.用户还可以获得要检查的示例项目.在本教 ...

  8. org.quartz-scheduler 动态添加自动任务

    1.添加pom.xml <dependency> <groupId>org.quartz-scheduler</groupId> <artifactId> ...

  9. <Parquet><Physical Properties><Best practice><With impala>

    Parquet Parquet is a columnar storage format for Hadoop. Parquet is designed to make the advantages ...

  10. 移动端设置, mobile , 一张图片作为背景 ,平铺 ,自动拉伸 , 图片 铺满视界 ,窗口. background-image , background-size, background-repeat

    1.  效果: 浏览器: 手机模拟: 2.代码: <!DOCTYPE html> <html lang="en"> <head> <met ...