457 lines
18 KiB
Python
457 lines
18 KiB
Python
import os, shutil
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import re
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import numpy as np
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PRESERVE = 0
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TRANSFORM = 1
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pj = os.path.join
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class LinkedListNode():
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"""
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Linked List Node
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"""
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def __init__(self, string, preserve=True) -> None:
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self.string = string
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self.preserve = preserve
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self.next = None
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self.range = None
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# self.begin_line = 0
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# self.begin_char = 0
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def convert_to_linklist(text, mask):
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root = LinkedListNode("", preserve=True)
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current_node = root
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for c, m, i in zip(text, mask, range(len(text))):
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if (m==PRESERVE and current_node.preserve) \
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or (m==TRANSFORM and not current_node.preserve):
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# add
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current_node.string += c
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else:
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current_node.next = LinkedListNode(c, preserve=(m==PRESERVE))
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current_node = current_node.next
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return root
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def post_process(root):
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# 修复括号
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node = root
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while True:
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string = node.string
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if node.preserve:
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node = node.next
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if node is None: break
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continue
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def break_check(string):
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str_stack = [""] # (lv, index)
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for i, c in enumerate(string):
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if c == '{':
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str_stack.append('{')
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elif c == '}':
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if len(str_stack) == 1:
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print('stack fix')
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return i
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str_stack.pop(-1)
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else:
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str_stack[-1] += c
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return -1
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bp = break_check(string)
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if bp == -1:
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pass
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elif bp == 0:
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node.string = string[:1]
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q = LinkedListNode(string[1:], False)
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q.next = node.next
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node.next = q
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else:
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node.string = string[:bp]
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q = LinkedListNode(string[bp:], False)
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q.next = node.next
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node.next = q
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node = node.next
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if node is None: break
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# 屏蔽空行和太短的句子
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node = root
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while True:
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if len(node.string.strip('\n').strip(''))==0: node.preserve = True
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if len(node.string.strip('\n').strip(''))<42: node.preserve = True
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node = node.next
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if node is None: break
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node = root
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while True:
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if node.next and node.preserve and node.next.preserve:
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node.string += node.next.string
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node.next = node.next.next
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node = node.next
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if node is None: break
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# 将前后断行符脱离
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node = root
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prev_node = None
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while True:
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if not node.preserve:
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lstriped_ = node.string.lstrip().lstrip('\n')
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if (prev_node is not None) and (prev_node.preserve) and (len(lstriped_)!=len(node.string)):
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prev_node.string += node.string[:-len(lstriped_)]
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node.string = lstriped_
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rstriped_ = node.string.rstrip().rstrip('\n')
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if (node.next is not None) and (node.next.preserve) and (len(rstriped_)!=len(node.string)):
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node.next.string = node.string[len(rstriped_):] + node.next.string
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node.string = rstriped_
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# =====
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prev_node = node
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node = node.next
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if node is None: break
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# 标注节点的行数范围
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node = root
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n_line = 0
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expansion = 2
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while True:
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n_l = node.string.count('\n')
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node.range = [n_line-expansion, n_line+n_l+expansion] # 失败时，扭转的范围
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n_line = n_line+n_l
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node = node.next
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if node is None: break
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return root
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"""
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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
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Latex segmentation with a binary mask (PRESERVE=0, TRANSFORM=1)
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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
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"""
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def set_forbidden_text(text, mask, pattern, flags=0):
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"""
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Add a preserve text area in this paper
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e.g. with pattern = r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}"
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you can mask out (mask = PRESERVE so that text become untouchable for GPT)
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everything between "\begin{equation}" and "\end{equation}"
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"""
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if isinstance(pattern, list): pattern = '|'.join(pattern)
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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mask[res.span()[0]:res.span()[1]] = PRESERVE
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return text, mask
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def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
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"""
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Move area out of preserve area (make text editable for GPT)
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count the number of the braces so as to catch compelete text area.
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e.g.
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\begin{abstract} blablablablablabla. \end{abstract}
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"""
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if isinstance(pattern, list): pattern = '|'.join(pattern)
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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if not forbid_wrapper:
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mask[res.span()[0]:res.span()[1]] = TRANSFORM
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else:
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mask[res.regs[0][0]: res.regs[1][0]] = PRESERVE # '\\begin{abstract}'
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mask[res.regs[1][0]: res.regs[1][1]] = TRANSFORM # abstract
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mask[res.regs[1][1]: res.regs[0][1]] = PRESERVE # abstract
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return text, mask
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def set_forbidden_text_careful_brace(text, mask, pattern, flags=0):
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"""
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Add a preserve text area in this paper (text become untouchable for GPT).
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count the number of the braces so as to catch compelete text area.
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e.g.
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\caption{blablablablabla\texbf{blablabla}blablabla.}
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"""
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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brace_level = -1
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p = begin = end = res.regs[0][0]
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for _ in range(1024*16):
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if text[p] == '}' and brace_level == 0: break
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elif text[p] == '}': brace_level -= 1
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elif text[p] == '{': brace_level += 1
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p += 1
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end = p+1
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mask[begin:end] = PRESERVE
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return text, mask
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def reverse_forbidden_text_careful_brace(text, mask, pattern, flags=0, forbid_wrapper=True):
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"""
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Move area out of preserve area (make text editable for GPT)
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count the number of the braces so as to catch compelete text area.
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e.g.
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\caption{blablablablabla\texbf{blablabla}blablabla.}
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"""
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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brace_level = 0
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p = begin = end = res.regs[1][0]
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for _ in range(1024*16):
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if text[p] == '}' and brace_level == 0: break
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elif text[p] == '}': brace_level -= 1
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elif text[p] == '{': brace_level += 1
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p += 1
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end = p
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mask[begin:end] = TRANSFORM
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if forbid_wrapper:
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mask[res.regs[0][0]:begin] = PRESERVE
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mask[end:res.regs[0][1]] = PRESERVE
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return text, mask
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def set_forbidden_text_begin_end(text, mask, pattern, flags=0, limit_n_lines=42):
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"""
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Find all \begin{} ... \end{} text block that with less than limit_n_lines lines.
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Add it to preserve area
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"""
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pattern_compile = re.compile(pattern, flags)
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def search_with_line_limit(text, mask):
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for res in pattern_compile.finditer(text):
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cmd = res.group(1) # begin{what}
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this = res.group(2) # content between begin and end
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this_mask = mask[res.regs[2][0]:res.regs[2][1]]
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white_list = ['document', 'abstract', 'lemma', 'definition', 'sproof',
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'em', 'emph', 'textit', 'textbf', 'itemize', 'enumerate']
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if (cmd in white_list) or this.count('\n') >= limit_n_lines: # use a magical number 42
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this, this_mask = search_with_line_limit(this, this_mask)
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mask[res.regs[2][0]:res.regs[2][1]] = this_mask
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else:
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mask[res.regs[0][0]:res.regs[0][1]] = PRESERVE
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return text, mask
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return search_with_line_limit(text, mask)
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"""
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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
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Latex Merge File
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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
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"""
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def find_main_tex_file(file_manifest, mode):
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"""
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在多Tex文档中，寻找主文件，必须包含documentclass，返回找到的第一个。
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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)
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"""
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canidates = []
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for texf in file_manifest:
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if os.path.basename(texf).startswith('merge'):
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continue
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with open(texf, 'r', encoding='utf8', errors='ignore') as f:
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file_content = f.read()
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if r'\documentclass' in file_content:
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canidates.append(texf)
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else:
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continue
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if len(canidates) == 0:
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raise RuntimeError('无法找到一个主Tex文件（包含documentclass关键字）')
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elif len(canidates) == 1:
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return canidates[0]
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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
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canidates_score = []
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# 给出一些判定模板文档的词作为扣分项
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unexpected_words = ['\LaTeX', 'manuscript', 'Guidelines', 'font', 'citations', 'rejected', 'blind review', 'reviewers']
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expected_words = ['\input', '\ref', '\cite']
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for texf in canidates:
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canidates_score.append(0)
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with open(texf, 'r', encoding='utf8', errors='ignore') as f:
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file_content = f.read()
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for uw in unexpected_words:
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if uw in file_content:
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canidates_score[-1] -= 1
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for uw in expected_words:
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if uw in file_content:
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canidates_score[-1] += 1
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select = np.argmax(canidates_score) # 取评分最高者返回
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return canidates[select]
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def rm_comments(main_file):
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new_file_remove_comment_lines = []
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for l in main_file.splitlines():
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# 删除整行的空注释
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if l.lstrip().startswith("%"):
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pass
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else:
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new_file_remove_comment_lines.append(l)
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main_file = '\n'.join(new_file_remove_comment_lines)
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# main_file = re.sub(r"\\include{(.*?)}", r"\\input{\1}", main_file) # 将 \include 命令转换为 \input 命令
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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
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return main_file
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def find_tex_file_ignore_case(fp):
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dir_name = os.path.dirname(fp)
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base_name = os.path.basename(fp)
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if not base_name.endswith('.tex'): base_name+='.tex'
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if os.path.exists(pj(dir_name, base_name)): return pj(dir_name, base_name)
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# go case in-sensitive
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import glob
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for f in glob.glob(dir_name+'/*.tex'):
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base_name_s = os.path.basename(fp)
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if base_name_s.lower() == base_name.lower(): return f
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return None
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def merge_tex_files_(project_foler, main_file, mode):
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"""
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Merge Tex project recrusively
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"""
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main_file = rm_comments(main_file)
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for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]):
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f = s.group(1)
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fp = os.path.join(project_foler, f)
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fp = find_tex_file_ignore_case(fp)
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if fp:
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with open(fp, 'r', encoding='utf-8', errors='replace') as fx: c = fx.read()
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else:
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raise RuntimeError(f'找不到{fp}，Tex源文件缺失！')
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c = merge_tex_files_(project_foler, c, mode)
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main_file = main_file[:s.span()[0]] + c + main_file[s.span()[1]:]
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return main_file
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def merge_tex_files(project_foler, main_file, mode):
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"""
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Merge Tex project recrusively
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P.S. 顺便把CTEX塞进去以支持中文
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P.S. 顺便把Latex的注释去除
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"""
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main_file = merge_tex_files_(project_foler, main_file, mode)
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main_file = rm_comments(main_file)
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if mode == 'translate_zh':
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# find paper documentclass
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pattern = re.compile(r'\\documentclass.*\n')
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match = pattern.search(main_file)
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assert match is not None, "Cannot find documentclass statement!"
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position = match.end()
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add_ctex = '\\usepackage{ctex}\n'
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add_url = '\\usepackage{url}\n' if '{url}' not in main_file else ''
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main_file = main_file[:position] + add_ctex + add_url + main_file[position:]
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# fontset=windows
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import platform
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main_file = re.sub(r"\\documentclass\[(.*?)\]{(.*?)}", r"\\documentclass[\1,fontset=windows,UTF8]{\2}",main_file)
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main_file = re.sub(r"\\documentclass{(.*?)}", r"\\documentclass[fontset=windows,UTF8]{\1}",main_file)
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# find paper abstract
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pattern_opt1 = re.compile(r'\\begin\{abstract\}.*\n')
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pattern_opt2 = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL)
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match_opt1 = pattern_opt1.search(main_file)
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match_opt2 = pattern_opt2.search(main_file)
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assert (match_opt1 is not None) or (match_opt2 is not None), "Cannot find paper abstract section!"
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return main_file
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"""
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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
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Post process
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=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
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"""
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def mod_inbraket(match):
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"""
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为啥chatgpt会把cite里面的逗号换成中文逗号呀
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"""
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# get the matched string
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cmd = match.group(1)
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str_to_modify = match.group(2)
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# modify the matched string
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str_to_modify = str_to_modify.replace('：', ':') # 前面是中文冒号，后面是英文冒号
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str_to_modify = str_to_modify.replace('，', ',') # 前面是中文逗号，后面是英文逗号
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# str_to_modify = 'BOOM'
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return "\\" + cmd + "{" + str_to_modify + "}"
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def fix_content(final_tex, node_string):
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"""
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Fix common GPT errors to increase success rate
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"""
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final_tex = re.sub(r"(?<!\\)%", "\\%", final_tex)
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final_tex = re.sub(r"\\([a-z]{2,10})\ \{", r"\\\1{", string=final_tex)
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final_tex = re.sub(r"\\\ ([a-z]{2,10})\{", r"\\\1{", string=final_tex)
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final_tex = re.sub(r"\\([a-z]{2,10})\{([^\}]*?)\}", mod_inbraket, string=final_tex)
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if "Traceback" in final_tex and "[Local Message]" in final_tex:
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final_tex = node_string # 出问题了，还原原文
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if node_string.count('\\begin') != final_tex.count('\\begin'):
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final_tex = node_string # 出问题了，还原原文
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if node_string.count('\_') > 0 and node_string.count('\_') > final_tex.count('\_'):
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# walk and replace any _ without \
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final_tex = re.sub(r"(?<!\\)_", "\\_", final_tex)
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def compute_brace_level(string):
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# this function count the number of { and }
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brace_level = 0
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for c in string:
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if c == "{": brace_level += 1
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elif c == "}": brace_level -= 1
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return brace_level
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def join_most(tex_t, tex_o):
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# this function join translated string and original string when something goes wrong
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p_t = 0
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p_o = 0
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def find_next(string, chars, begin):
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p = begin
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while p < len(string):
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if string[p] in chars: return p, string[p]
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p += 1
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return None, None
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while True:
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res1, char = find_next(tex_o, ['{','}'], p_o)
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if res1 is None: break
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res2, char = find_next(tex_t, [char], p_t)
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if res2 is None: break
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p_o = res1 + 1
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p_t = res2 + 1
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return tex_t[:p_t] + tex_o[p_o:]
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if compute_brace_level(final_tex) != compute_brace_level(node_string):
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# 出问题了，还原部分原文，保证括号正确
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final_tex = join_most(final_tex, node_string)
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return final_tex
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def compile_latex_with_timeout(command, cwd, timeout=60):
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import subprocess
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process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
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try:
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stdout, stderr = process.communicate(timeout=timeout)
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except subprocess.TimeoutExpired:
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process.kill()
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stdout, stderr = process.communicate()
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print("Process timed out!")
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return False
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return True
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def merge_pdfs(pdf1_path, pdf2_path, output_path):
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import PyPDF2
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Percent = 0.8
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# Open the first PDF file
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with open(pdf1_path, 'rb') as pdf1_file:
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pdf1_reader = PyPDF2.PdfFileReader(pdf1_file)
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# Open the second PDF file
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with open(pdf2_path, 'rb') as pdf2_file:
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pdf2_reader = PyPDF2.PdfFileReader(pdf2_file)
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# Create a new PDF file to store the merged pages
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output_writer = PyPDF2.PdfFileWriter()
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# Determine the number of pages in each PDF file
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num_pages = max(pdf1_reader.numPages, pdf2_reader.numPages)
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# Merge the pages from the two PDF files
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for page_num in range(num_pages):
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# Add the page from the first PDF file
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if page_num < pdf1_reader.numPages:
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page1 = pdf1_reader.getPage(page_num)
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else:
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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)
|