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import os, shutil | |
import re | |
import numpy as np | |
PRESERVE = 0 | |
TRANSFORM = 1 | |
pj = os.path.join | |
class LinkedListNode(): | |
""" | |
Linked List Node | |
""" | |
def __init__(self, string, preserve=True) -> None: | |
self.string = string | |
self.preserve = preserve | |
self.next = None | |
self.range = None | |
# self.begin_line = 0 | |
# self.begin_char = 0 | |
def convert_to_linklist(text, mask): | |
root = LinkedListNode("", preserve=True) | |
current_node = root | |
for c, m, i in zip(text, mask, range(len(text))): | |
if (m==PRESERVE and current_node.preserve) \ | |
or (m==TRANSFORM and not current_node.preserve): | |
# add | |
current_node.string += c | |
else: | |
current_node.next = LinkedListNode(c, preserve=(m==PRESERVE)) | |
current_node = current_node.next | |
return root | |
def post_process(root): | |
# 修复括号 | |
node = root | |
while True: | |
string = node.string | |
if node.preserve: | |
node = node.next | |
if node is None: break | |
continue | |
def break_check(string): | |
str_stack = [""] # (lv, index) | |
for i, c in enumerate(string): | |
if c == '{': | |
str_stack.append('{') | |
elif c == '}': | |
if len(str_stack) == 1: | |
print('stack fix') | |
return i | |
str_stack.pop(-1) | |
else: | |
str_stack[-1] += c | |
return -1 | |
bp = break_check(string) | |
if bp == -1: | |
pass | |
elif bp == 0: | |
node.string = string[:1] | |
q = LinkedListNode(string[1:], False) | |
q.next = node.next | |
node.next = q | |
else: | |
node.string = string[:bp] | |
q = LinkedListNode(string[bp:], False) | |
q.next = node.next | |
node.next = q | |
node = node.next | |
if node is None: break | |
# 屏蔽空行和太短的句子 | |
node = root | |
while True: | |
if len(node.string.strip('\n').strip(''))==0: node.preserve = True | |
if len(node.string.strip('\n').strip(''))<42: node.preserve = True | |
node = node.next | |
if node is None: break | |
node = root | |
while True: | |
if node.next and node.preserve and node.next.preserve: | |
node.string += node.next.string | |
node.next = node.next.next | |
node = node.next | |
if node is None: break | |
# 将前后断行符脱离 | |
node = root | |
prev_node = None | |
while True: | |
if not node.preserve: | |
lstriped_ = node.string.lstrip().lstrip('\n') | |
if (prev_node is not None) and (prev_node.preserve) and (len(lstriped_)!=len(node.string)): | |
prev_node.string += node.string[:-len(lstriped_)] | |
node.string = lstriped_ | |
rstriped_ = node.string.rstrip().rstrip('\n') | |
if (node.next is not None) and (node.next.preserve) and (len(rstriped_)!=len(node.string)): | |
node.next.string = node.string[len(rstriped_):] + node.next.string | |
node.string = rstriped_ | |
# ===== | |
prev_node = node | |
node = node.next | |
if node is None: break | |
# 标注节点的行数范围 | |
node = root | |
n_line = 0 | |
expansion = 2 | |
while True: | |
n_l = node.string.count('\n') | |
node.range = [n_line-expansion, n_line+n_l+expansion] # 失败时,扭转的范围 | |
n_line = n_line+n_l | |
node = node.next | |
if node is None: break | |
return root | |
""" | |
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
Latex segmentation with a binary mask (PRESERVE=0, TRANSFORM=1) | |
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
""" | |
def set_forbidden_text(text, mask, pattern, flags=0): | |
""" | |
Add a preserve text area in this paper | |
e.g. with pattern = r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}" | |
you can mask out (mask = PRESERVE so that text become untouchable for GPT) | |
everything between "\begin{equation}" and "\end{equation}" | |
""" | |
if isinstance(pattern, list): pattern = '|'.join(pattern) | |
pattern_compile = re.compile(pattern, flags) | |
for res in pattern_compile.finditer(text): | |
mask[res.span()[0]:res.span()[1]] = PRESERVE | |
return text, mask | |
def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True): | |
""" | |
Move area out of preserve area (make text editable for GPT) | |
count the number of the braces so as to catch compelete text area. | |
e.g. | |
\begin{abstract} blablablablablabla. \end{abstract} | |
""" | |
if isinstance(pattern, list): pattern = '|'.join(pattern) | |
pattern_compile = re.compile(pattern, flags) | |
for res in pattern_compile.finditer(text): | |
if not forbid_wrapper: | |
mask[res.span()[0]:res.span()[1]] = TRANSFORM | |
else: | |
mask[res.regs[0][0]: res.regs[1][0]] = PRESERVE # '\\begin{abstract}' | |
mask[res.regs[1][0]: res.regs[1][1]] = TRANSFORM # abstract | |
mask[res.regs[1][1]: res.regs[0][1]] = PRESERVE # abstract | |
return text, mask | |
def set_forbidden_text_careful_brace(text, mask, pattern, flags=0): | |
""" | |
Add a preserve text area in this paper (text become untouchable for GPT). | |
count the number of the braces so as to catch compelete text area. | |
e.g. | |
\caption{blablablablabla\texbf{blablabla}blablabla.} | |
""" | |
pattern_compile = re.compile(pattern, flags) | |
for res in pattern_compile.finditer(text): | |
brace_level = -1 | |
p = begin = end = res.regs[0][0] | |
for _ in range(1024*16): | |
if text[p] == '}' and brace_level == 0: break | |
elif text[p] == '}': brace_level -= 1 | |
elif text[p] == '{': brace_level += 1 | |
p += 1 | |
end = p+1 | |
mask[begin:end] = PRESERVE | |
return text, mask | |
def reverse_forbidden_text_careful_brace(text, mask, pattern, flags=0, forbid_wrapper=True): | |
""" | |
Move area out of preserve area (make text editable for GPT) | |
count the number of the braces so as to catch compelete text area. | |
e.g. | |
\caption{blablablablabla\texbf{blablabla}blablabla.} | |
""" | |
pattern_compile = re.compile(pattern, flags) | |
for res in pattern_compile.finditer(text): | |
brace_level = 0 | |
p = begin = end = res.regs[1][0] | |
for _ in range(1024*16): | |
if text[p] == '}' and brace_level == 0: break | |
elif text[p] == '}': brace_level -= 1 | |
elif text[p] == '{': brace_level += 1 | |
p += 1 | |
end = p | |
mask[begin:end] = TRANSFORM | |
if forbid_wrapper: | |
mask[res.regs[0][0]:begin] = PRESERVE | |
mask[end:res.regs[0][1]] = PRESERVE | |
return text, mask | |
def set_forbidden_text_begin_end(text, mask, pattern, flags=0, limit_n_lines=42): | |
""" | |
Find all \begin{} ... \end{} text block that with less than limit_n_lines lines. | |
Add it to preserve area | |
""" | |
pattern_compile = re.compile(pattern, flags) | |
def search_with_line_limit(text, mask): | |
for res in pattern_compile.finditer(text): | |
cmd = res.group(1) # begin{what} | |
this = res.group(2) # content between begin and end | |
this_mask = mask[res.regs[2][0]:res.regs[2][1]] | |
white_list = ['document', 'abstract', 'lemma', 'definition', 'sproof', | |
'em', 'emph', 'textit', 'textbf', 'itemize', 'enumerate'] | |
if (cmd in white_list) or this.count('\n') >= limit_n_lines: # use a magical number 42 | |
this, this_mask = search_with_line_limit(this, this_mask) | |
mask[res.regs[2][0]:res.regs[2][1]] = this_mask | |
else: | |
mask[res.regs[0][0]:res.regs[0][1]] = PRESERVE | |
return text, mask | |
return search_with_line_limit(text, mask) | |
""" | |
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
Latex Merge File | |
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
""" | |
def find_main_tex_file(file_manifest, mode): | |
""" | |
在多Tex文档中,寻找主文件,必须包含documentclass,返回找到的第一个。 | |
P.S. 但愿没人把latex模板放在里面传进来 (6.25 加入判定latex模板的代码) | |
""" | |
canidates = [] | |
for texf in file_manifest: | |
if os.path.basename(texf).startswith('merge'): | |
continue | |
with open(texf, 'r', encoding='utf8', errors='ignore') as f: | |
file_content = f.read() | |
if r'\documentclass' in file_content: | |
canidates.append(texf) | |
else: | |
continue | |
if len(canidates) == 0: | |
raise RuntimeError('无法找到一个主Tex文件(包含documentclass关键字)') | |
elif len(canidates) == 1: | |
return canidates[0] | |
else: # if len(canidates) >= 2 通过一些Latex模板中常见(但通常不会出现在正文)的单词,对不同latex源文件扣分,取评分最高者返回 | |
canidates_score = [] | |
# 给出一些判定模板文档的词作为扣分项 | |
unexpected_words = ['\\LaTeX', 'manuscript', 'Guidelines', 'font', 'citations', 'rejected', 'blind review', 'reviewers'] | |
expected_words = ['\\input', '\\ref', '\\cite'] | |
for texf in canidates: | |
canidates_score.append(0) | |
with open(texf, 'r', encoding='utf8', errors='ignore') as f: | |
file_content = f.read() | |
file_content = rm_comments(file_content) | |
for uw in unexpected_words: | |
if uw in file_content: | |
canidates_score[-1] -= 1 | |
for uw in expected_words: | |
if uw in file_content: | |
canidates_score[-1] += 1 | |
select = np.argmax(canidates_score) # 取评分最高者返回 | |
return canidates[select] | |
def rm_comments(main_file): | |
new_file_remove_comment_lines = [] | |
for l in main_file.splitlines(): | |
# 删除整行的空注释 | |
if l.lstrip().startswith("%"): | |
pass | |
else: | |
new_file_remove_comment_lines.append(l) | |
main_file = '\n'.join(new_file_remove_comment_lines) | |
# main_file = re.sub(r"\\include{(.*?)}", r"\\input{\1}", main_file) # 将 \include 命令转换为 \input 命令 | |
main_file = re.sub(r'(?<!\\)%.*', '', main_file) # 使用正则表达式查找半行注释, 并替换为空字符串 | |
return main_file | |
def find_tex_file_ignore_case(fp): | |
dir_name = os.path.dirname(fp) | |
base_name = os.path.basename(fp) | |
# 如果输入的文件路径是正确的 | |
if os.path.isfile(pj(dir_name, base_name)): return pj(dir_name, base_name) | |
# 如果不正确,试着加上.tex后缀试试 | |
if not base_name.endswith('.tex'): base_name+='.tex' | |
if os.path.isfile(pj(dir_name, base_name)): return pj(dir_name, base_name) | |
# 如果还找不到,解除大小写限制,再试一次 | |
import glob | |
for f in glob.glob(dir_name+'/*.tex'): | |
base_name_s = os.path.basename(fp) | |
base_name_f = os.path.basename(f) | |
if base_name_s.lower() == base_name_f.lower(): return f | |
# 试着加上.tex后缀试试 | |
if not base_name_s.endswith('.tex'): base_name_s+='.tex' | |
if base_name_s.lower() == base_name_f.lower(): return f | |
return None | |
def merge_tex_files_(project_foler, main_file, mode): | |
""" | |
Merge Tex project recrusively | |
""" | |
main_file = rm_comments(main_file) | |
for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]): | |
f = s.group(1) | |
fp = os.path.join(project_foler, f) | |
fp_ = find_tex_file_ignore_case(fp) | |
if fp_: | |
try: | |
with open(fp_, 'r', encoding='utf-8', errors='replace') as fx: c = fx.read() | |
except: | |
c = f"\n\nWarning from GPT-Academic: LaTex source file is missing!\n\n" | |
else: | |
raise RuntimeError(f'找不到{fp},Tex源文件缺失!') | |
c = merge_tex_files_(project_foler, c, mode) | |
main_file = main_file[:s.span()[0]] + c + main_file[s.span()[1]:] | |
return main_file | |
def find_title_and_abs(main_file): | |
def extract_abstract_1(text): | |
pattern = r"\\abstract\{(.*?)\}" | |
match = re.search(pattern, text, re.DOTALL) | |
if match: | |
return match.group(1) | |
else: | |
return None | |
def extract_abstract_2(text): | |
pattern = r"\\begin\{abstract\}(.*?)\\end\{abstract\}" | |
match = re.search(pattern, text, re.DOTALL) | |
if match: | |
return match.group(1) | |
else: | |
return None | |
def extract_title(string): | |
pattern = r"\\title\{(.*?)\}" | |
match = re.search(pattern, string, re.DOTALL) | |
if match: | |
return match.group(1) | |
else: | |
return None | |
abstract = extract_abstract_1(main_file) | |
if abstract is None: | |
abstract = extract_abstract_2(main_file) | |
title = extract_title(main_file) | |
return title, abstract | |
def merge_tex_files(project_foler, main_file, mode): | |
""" | |
Merge Tex project recrusively | |
P.S. 顺便把CTEX塞进去以支持中文 | |
P.S. 顺便把Latex的注释去除 | |
""" | |
main_file = merge_tex_files_(project_foler, main_file, mode) | |
main_file = rm_comments(main_file) | |
if mode == 'translate_zh': | |
# find paper documentclass | |
pattern = re.compile(r'\\documentclass.*\n') | |
match = pattern.search(main_file) | |
assert match is not None, "Cannot find documentclass statement!" | |
position = match.end() | |
add_ctex = '\\usepackage{ctex}\n' | |
add_url = '\\usepackage{url}\n' if '{url}' not in main_file else '' | |
main_file = main_file[:position] + add_ctex + add_url + main_file[position:] | |
# fontset=windows | |
import platform | |
main_file = re.sub(r"\\documentclass\[(.*?)\]{(.*?)}", r"\\documentclass[\1,fontset=windows,UTF8]{\2}",main_file) | |
main_file = re.sub(r"\\documentclass{(.*?)}", r"\\documentclass[fontset=windows,UTF8]{\1}",main_file) | |
# find paper abstract | |
pattern_opt1 = re.compile(r'\\begin\{abstract\}.*\n') | |
pattern_opt2 = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL) | |
match_opt1 = pattern_opt1.search(main_file) | |
match_opt2 = pattern_opt2.search(main_file) | |
if (match_opt1 is None) and (match_opt2 is None): | |
# "Cannot find paper abstract section!" | |
main_file = insert_abstract(main_file) | |
match_opt1 = pattern_opt1.search(main_file) | |
match_opt2 = pattern_opt2.search(main_file) | |
assert (match_opt1 is not None) or (match_opt2 is not None), "Cannot find paper abstract section!" | |
return main_file | |
insert_missing_abs_str = r""" | |
\begin{abstract} | |
The GPT-Academic program cannot find abstract section in this paper. | |
\end{abstract} | |
""" | |
def insert_abstract(tex_content): | |
if "\\maketitle" in tex_content: | |
# find the position of "\maketitle" | |
find_index = tex_content.index("\\maketitle") | |
# find the nearest ending line | |
end_line_index = tex_content.find("\n", find_index) | |
# insert "abs_str" on the next line | |
modified_tex = tex_content[:end_line_index+1] + '\n\n' + insert_missing_abs_str + '\n\n' + tex_content[end_line_index+1:] | |
return modified_tex | |
elif r"\begin{document}" in tex_content: | |
# find the position of "\maketitle" | |
find_index = tex_content.index(r"\begin{document}") | |
# find the nearest ending line | |
end_line_index = tex_content.find("\n", find_index) | |
# insert "abs_str" on the next line | |
modified_tex = tex_content[:end_line_index+1] + '\n\n' + insert_missing_abs_str + '\n\n' + tex_content[end_line_index+1:] | |
return modified_tex | |
else: | |
return tex_content | |
""" | |
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
Post process | |
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | |
""" | |
def mod_inbraket(match): | |
""" | |
为啥chatgpt会把cite里面的逗号换成中文逗号呀 | |
""" | |
# get the matched string | |
cmd = match.group(1) | |
str_to_modify = match.group(2) | |
# modify the matched string | |
str_to_modify = str_to_modify.replace(':', ':') # 前面是中文冒号,后面是英文冒号 | |
str_to_modify = str_to_modify.replace(',', ',') # 前面是中文逗号,后面是英文逗号 | |
# str_to_modify = 'BOOM' | |
return "\\" + cmd + "{" + str_to_modify + "}" | |
def fix_content(final_tex, node_string): | |
""" | |
Fix common GPT errors to increase success rate | |
""" | |
final_tex = re.sub(r"(?<!\\)%", "\\%", final_tex) | |
final_tex = re.sub(r"\\([a-z]{2,10})\ \{", r"\\\1{", string=final_tex) | |
final_tex = re.sub(r"\\\ ([a-z]{2,10})\{", r"\\\1{", string=final_tex) | |
final_tex = re.sub(r"\\([a-z]{2,10})\{([^\}]*?)\}", mod_inbraket, string=final_tex) | |
if "Traceback" in final_tex and "[Local Message]" in final_tex: | |
final_tex = node_string # 出问题了,还原原文 | |
if node_string.count('\\begin') != final_tex.count('\\begin'): | |
final_tex = node_string # 出问题了,还原原文 | |
if node_string.count('\_') > 0 and node_string.count('\_') > final_tex.count('\_'): | |
# walk and replace any _ without \ | |
final_tex = re.sub(r"(?<!\\)_", "\\_", final_tex) | |
def compute_brace_level(string): | |
# this function count the number of { and } | |
brace_level = 0 | |
for c in string: | |
if c == "{": brace_level += 1 | |
elif c == "}": brace_level -= 1 | |
return brace_level | |
def join_most(tex_t, tex_o): | |
# this function join translated string and original string when something goes wrong | |
p_t = 0 | |
p_o = 0 | |
def find_next(string, chars, begin): | |
p = begin | |
while p < len(string): | |
if string[p] in chars: return p, string[p] | |
p += 1 | |
return None, None | |
while True: | |
res1, char = find_next(tex_o, ['{','}'], p_o) | |
if res1 is None: break | |
res2, char = find_next(tex_t, [char], p_t) | |
if res2 is None: break | |
p_o = res1 + 1 | |
p_t = res2 + 1 | |
return tex_t[:p_t] + tex_o[p_o:] | |
if compute_brace_level(final_tex) != compute_brace_level(node_string): | |
# 出问题了,还原部分原文,保证括号正确 | |
final_tex = join_most(final_tex, node_string) | |
return final_tex | |
def compile_latex_with_timeout(command, cwd, timeout=60): | |
import subprocess | |
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd) | |
try: | |
stdout, stderr = process.communicate(timeout=timeout) | |
except subprocess.TimeoutExpired: | |
process.kill() | |
stdout, stderr = process.communicate() | |
print("Process timed out!") | |
return False | |
return True | |
def run_in_subprocess_wrapper_func(func, args, kwargs, return_dict, exception_dict): | |
import sys | |
try: | |
result = func(*args, **kwargs) | |
return_dict['result'] = result | |
except Exception as e: | |
exc_info = sys.exc_info() | |
exception_dict['exception'] = exc_info | |
def run_in_subprocess(func): | |
import multiprocessing | |
def wrapper(*args, **kwargs): | |
return_dict = multiprocessing.Manager().dict() | |
exception_dict = multiprocessing.Manager().dict() | |
process = multiprocessing.Process(target=run_in_subprocess_wrapper_func, | |
args=(func, args, kwargs, return_dict, exception_dict)) | |
process.start() | |
process.join() | |
process.close() | |
if 'exception' in exception_dict: | |
# ooops, the subprocess ran into an exception | |
exc_info = exception_dict['exception'] | |
raise exc_info[1].with_traceback(exc_info[2]) | |
if 'result' in return_dict.keys(): | |
# If the subprocess ran successfully, return the result | |
return return_dict['result'] | |
return wrapper | |
def _merge_pdfs(pdf1_path, pdf2_path, output_path): | |
import PyPDF2 # PyPDF2这个库有严重的内存泄露问题,把它放到子进程中运行,从而方便内存的释放 | |
Percent = 0.95 | |
# raise RuntimeError('PyPDF2 has a serious memory leak problem, please use other tools to merge PDF files.') | |
# Open the first PDF file | |
with open(pdf1_path, 'rb') as pdf1_file: | |
pdf1_reader = PyPDF2.PdfFileReader(pdf1_file) | |
# Open the second PDF file | |
with open(pdf2_path, 'rb') as pdf2_file: | |
pdf2_reader = PyPDF2.PdfFileReader(pdf2_file) | |
# Create a new PDF file to store the merged pages | |
output_writer = PyPDF2.PdfFileWriter() | |
# Determine the number of pages in each PDF file | |
num_pages = max(pdf1_reader.numPages, pdf2_reader.numPages) | |
# Merge the pages from the two PDF files | |
for page_num in range(num_pages): | |
# Add the page from the first PDF file | |
if page_num < pdf1_reader.numPages: | |
page1 = pdf1_reader.getPage(page_num) | |
else: | |
page1 = PyPDF2.PageObject.createBlankPage(pdf1_reader) | |
# Add the page from the second PDF file | |
if page_num < pdf2_reader.numPages: | |
page2 = pdf2_reader.getPage(page_num) | |
else: | |
page2 = PyPDF2.PageObject.createBlankPage(pdf1_reader) | |
# Create a new empty page with double width | |
new_page = PyPDF2.PageObject.createBlankPage( | |
width = int(int(page1.mediaBox.getWidth()) + int(page2.mediaBox.getWidth()) * Percent), | |
height = max(page1.mediaBox.getHeight(), page2.mediaBox.getHeight()) | |
) | |
new_page.mergeTranslatedPage(page1, 0, 0) | |
new_page.mergeTranslatedPage(page2, int(int(page1.mediaBox.getWidth())-int(page2.mediaBox.getWidth())* (1-Percent)), 0) | |
output_writer.addPage(new_page) | |
# Save the merged PDF file | |
with open(output_path, 'wb') as output_file: | |
output_writer.write(output_file) | |
merge_pdfs = run_in_subprocess(_merge_pdfs) # PyPDF2这个库有严重的内存泄露问题,把它放到子进程中运行,从而方便内存的释放 | |