deep learning （Bengio大作：深度学习中文版

#!/usr/bin/env python3
import sys
import re

def create_gls_dict（）:
    term_file = open（‘../terminology.tex‘ ‘r‘）
    term_file.readline（）
    terms = term_file.read（）
    term_file.close（）
    term_name_dict = {}
    term_symbol_dict = {}
    for term in terms.split（‘\n\n‘）:
        tmp = term.strip（）.split（‘\n‘）
        if tmp[2].strip（）[:4] != ‘name‘:
            print（tmp）
        dirty_term = tmp[0][18:]
        term_name_dict[dirty_term[:dirty_term.find（‘}‘）]] = tmp[2].strip（）[5:-1]
        for s in tmp:
            if s.strip（）[:6] == ‘symbol‘:
                dirty_symbol = s.strip（）[8:]
                term_symbol_dict[dirty_term[:dirty_term.find（‘}‘）]] =  dirty_symbol[:dirty_symbol.find（‘}‘）]
                

    return term_name_dict term_symbol_dict


def replace_single_gls（tex p term_dict）:
    pl = p.finditer（tex）
    new_tex = ‘‘
    prev_pos = 0
    for i in pl:
        new_tex += tex[prev_pos:i.start（）] + term_dict[i.group（）[i.group（）.find（‘{‘）+1:-1]]
        prev_pos = i.end（）
    new_tex += tex[prev_pos:]
    return new_tex


def replace_all_gls（input_tex term_name_dict term_symbol_dict）:
    # matched \gls{}
    tex_file = open（input_tex ‘r‘）
    tex = tex_file.read（）

    p = re.compile（‘\\\\gls\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_name_dict）

    p = re.compile（‘\\\\firstgls\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_name_dict）

    p = re.compile（‘\\\\firstall\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_name_dict）

    p = re.compile（‘\\\\firstacr\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_name_dict）

    p = re.compile（‘\\\\glsacr\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_name_dict）

    p = re.compile（‘\\\\glsentrytext\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_name_dict）

    p = re.compile（‘\\\\glssymbol\\{[^\\}]*\\}‘）
    tex = replace_single_gls（tex p term_symbol_dict）

    return tex

if __name__ == ‘__main__‘:
    input_tex = sys.argv[1]
    term_name_dict term_symbol_dict = create_gls_dict（）
    print（replace_all_gls（input_tex term_name_dict term_symbol_dict））
    #print（term_name_dict term_symbol_dict）

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\
     文件         256  2017-02-12 01:25  deeplearningbook-chinese-master\.gitignore
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter1\
     文件          17  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter1\README.md
     文件     1549009  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter1\dlbook_cn_chapter1.pdf
     文件       51618  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter1\introduction.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter10\
     文件          17  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter10\README.md
     文件       97102  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter10\sequence_modeling_rnn.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter11\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter11\README.md
     文件       49127  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter11\practical_methodology.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter12\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter12\README.md
     文件      101813  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter12\applications.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter13\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter13\README.md
     文件       29362  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter13\linear_factor_models.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter14\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter14\README.md
     文件       50918  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter14\autoencoders.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter15\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter15\README.md
     文件       75445  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter15\representation_learning.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter16\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter16\README.md
     文件       76640  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter16\structured_probabilistic_modelling.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter17\
     文件          20  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter17\README.md
     文件       36796  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter17\monte_carlo_methods.tex
     目录           0  2017-02-12 01:25  deeplearningbook-chinese-master\Chapter18\
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