Spaces:
Runtime error
Runtime error
| 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 | |