gpt_academic text mask imp
This commit is contained in:
binary-husky
parent
f2e73aa580
commit
142b516749
@ -3,6 +3,7 @@
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# 'stop' 颜色对应 theme.py 中的 color_er
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import importlib
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from toolbox import clear_line_break
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from toolbox import build_gpt_academic_masked_string
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from textwrap import dedent
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def get_core_functions():
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@ -32,12 +33,12 @@ def get_core_functions():
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"Prefix": r"",
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# 后缀，会被加在你的输入之后。例如，配合前缀可以把你的输入内容用引号圈起来
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"Suffix":
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dedent("\n"+r'''
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dedent("\n"+f'''
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==============================
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使用mermaid flowchart对以上文本进行总结，概括上述段落的内容以及内在逻辑关系，例如：
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以下是对以上文本的总结，以mermaid flowchart的形式展示：
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```mermaid
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```{build_gpt_academic_masked_string(text_show_llm="mermaid", text_show_render="")}
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flowchart LR
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A["节点名1"] --> B("节点名2")
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B --> C{"节点名3"}
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@ -11,7 +11,7 @@
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import tiktoken, copy
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from functools import lru_cache
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from concurrent.futures import ThreadPoolExecutor
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from toolbox import get_conf, trimmed_format_exc
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from toolbox import get_conf, trimmed_format_exc, apply_gpt_academic_string_mask
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from .bridge_chatgpt import predict_no_ui_long_connection as chatgpt_noui
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from .bridge_chatgpt import predict as chatgpt_ui
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@ -668,6 +668,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser
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"""
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import threading, time, copy
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inputs = apply_gpt_academic_string_mask(inputs, mode="show_llm")
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model = llm_kwargs['llm_model']
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n_model = 1
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if '&' not in model:
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@ -741,6 +742,7 @@ def predict(inputs, llm_kwargs, *args, **kwargs):
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additional_fn代表点击的哪个按钮，按钮见functional.py
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"""
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inputs = apply_gpt_academic_string_mask(inputs, mode="show_llm")
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method = model_info[llm_kwargs['llm_model']]["fn_with_ui"] # 如果这里报错，检查config中的AVAIL_LLM_MODELS选项
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yield from method(inputs, llm_kwargs, *args, **kwargs)
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@ -4,52 +4,47 @@ import os
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import math
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from textwrap import dedent
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from functools import lru_cache
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from pymdownx.superfences import fence_div_format, fence_code_format
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from pymdownx.superfences import fence_code_format
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from latex2mathml.converter import convert as tex2mathml
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from shared_utils.config_loader import get_conf as get_conf
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pj = os.path.join
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default_user_name = 'default_user'
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from shared_utils.text_mask import apply_gpt_academic_string_mask
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markdown_extension_configs = {
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'mdx_math': {
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'enable_dollar_delimiter': True,
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'use_gitlab_delimiters': False,
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"mdx_math": {
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"enable_dollar_delimiter": True,
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"use_gitlab_delimiters": False,
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},
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}
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code_highlight_configs = {
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"pymdownx.superfences": {
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'css_class': 'codehilite',
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"css_class": "codehilite",
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"custom_fences": [
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{
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'name': 'mermaid',
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'class': 'mermaid',
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'format': fence_code_format
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}
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]
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{"name": "mermaid", "class": "mermaid", "format": fence_code_format}
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],
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},
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"pymdownx.highlight": {
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'css_class': 'codehilite',
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'guess_lang': True,
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"css_class": "codehilite",
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"guess_lang": True,
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# 'auto_title': True,
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# 'linenums': True
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}
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},
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}
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def text_divide_paragraph(text):
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"""
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将文本按照段落分隔符分割开，生成带有段落标签的HTML代码。
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"""
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pre = '<div class="markdown-body">'
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suf = '</div>'
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suf = "</div>"
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if text.startswith(pre) and text.endswith(suf):
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return text
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if '```' in text:
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if "```" in text:
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# careful input
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return text
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elif '</div>' in text:
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elif "</div>" in text:
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# careful input
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return text
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else:
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@ -71,20 +66,20 @@ def tex2mathml_catch_exception(content, *args, **kwargs):
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def replace_math_no_render(match):
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content = match.group(1)
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if 'mode=display' in match.group(0):
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content = content.replace('\n', '</br>')
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return f"<font color=\"#00FF00\">$$</font><font color=\"#FF00FF\">{content}</font><font color=\"#00FF00\">$$</font>"
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if "mode=display" in match.group(0):
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content = content.replace("\n", "</br>")
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return f'<font color="#00FF00">$$</font><font color="#FF00FF">{content}</font><font color="#00FF00">$$</font>'
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else:
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return f"<font color=\"#00FF00\">$</font><font color=\"#FF00FF\">{content}</font><font color=\"#00FF00\">$</font>"
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return f'<font color="#00FF00">$</font><font color="#FF00FF">{content}</font><font color="#00FF00">$</font>'
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def replace_math_render(match):
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content = match.group(1)
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if 'mode=display' in match.group(0):
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if '\\begin{aligned}' in content:
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content = content.replace('\\begin{aligned}', '\\begin{array}')
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content = content.replace('\\end{aligned}', '\\end{array}')
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content = content.replace('&', ' ')
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if "mode=display" in match.group(0):
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if "\\begin{aligned}" in content:
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content = content.replace("\\begin{aligned}", "\\begin{array}")
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content = content.replace("\\end{aligned}", "\\end{array}")
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content = content.replace("&", " ")
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content = tex2mathml_catch_exception(content, display="block")
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return content
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else:
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@ -95,9 +90,11 @@ def markdown_bug_hunt(content):
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"""
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解决一个mdx_math的bug（单$包裹begin命令时多余<script>）
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"""
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content = content.replace('<script type="math/tex">\n<script type="math/tex; mode=display">',
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'<script type="math/tex; mode=display">')
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content = content.replace('</script>\n</script>', '</script>')
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content = content.replace(
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'<script type="math/tex">\n<script type="math/tex; mode=display">',
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'<script type="math/tex; mode=display">',
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)
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content = content.replace("</script>\n</script>", "</script>")
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return content
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@ -105,25 +102,29 @@ def is_equation(txt):
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"""
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判定是否为公式 | 测试1 写出洛伦兹定律，使用tex格式公式 测试2 给出柯西不等式，使用latex格式 测试3 写出麦克斯韦方程组
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"""
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if '```' in txt and '```reference' not in txt: return False
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if '$' not in txt and '\\[' not in txt: return False
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if "```" in txt and "```reference" not in txt:
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return False
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if "$" not in txt and "\\[" not in txt:
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return False
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mathpatterns = {
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r'(?<!\\|\$)(\$)([^\$]+)(\$)': {'allow_multi_lines': False}, # $...$
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r'(?<!\\)(\$\$)([^\$]+)(\$\$)': {'allow_multi_lines': True}, # $$...$$
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r'(?<!\\)(\\\[)(.+?)(\\\])': {'allow_multi_lines': False}, # \[...\]
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r"(?<!\\|\$)(\$)([^\$]+)(\$)": {"allow_multi_lines": False}, # $...$
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r"(?<!\\)(\$\$)([^\$]+)(\$\$)": {"allow_multi_lines": True}, # $$...$$
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r"(?<!\\)(\\\[)(.+?)(\\\])": {"allow_multi_lines": False}, # \[...\]
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# r'(?<!\\)(\\\()(.+?)(\\\))': {'allow_multi_lines': False}, # \(...\)
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# r'(?<!\\)(\\begin{([a-z]+?\*?)})(.+?)(\\end{\2})': {'allow_multi_lines': True}, # \begin...\end
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# r'(?<!\\)(\$`)([^`]+)(`\$)': {'allow_multi_lines': False}, # $`...`$
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}
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matches = []
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for pattern, property in mathpatterns.items():
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flags = re.ASCII | re.DOTALL if property['allow_multi_lines'] else re.ASCII
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flags = re.ASCII | re.DOTALL if property["allow_multi_lines"] else re.ASCII
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matches.extend(re.findall(pattern, txt, flags))
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if len(matches) == 0: return False
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if len(matches) == 0:
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return False
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contain_any_eq = False
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illegal_pattern = re.compile(r'[^\x00-\x7F]|echo')
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illegal_pattern = re.compile(r"[^\x00-\x7F]|echo")
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for match in matches:
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if len(match) != 3: return False
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if len(match) != 3:
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return False
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eq_canidate = match[1]
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if illegal_pattern.search(eq_canidate):
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return False
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@ -134,27 +135,28 @@ def is_equation(txt):
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def fix_markdown_indent(txt):
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# fix markdown indent
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if (' - ' not in txt) or ('. ' not in txt):
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if (" - " not in txt) or (". " not in txt):
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# do not need to fix, fast escape
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return txt
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# walk through the lines and fix non-standard indentation
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lines = txt.split("\n")
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pattern = re.compile(r'^\s+-')
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pattern = re.compile(r"^\s+-")
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activated = False
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for i, line in enumerate(lines):
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if line.startswith('- ') or line.startswith('1. '):
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if line.startswith("- ") or line.startswith("1. "):
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activated = True
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if activated and pattern.match(line):
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stripped_string = line.lstrip()
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num_spaces = len(line) - len(stripped_string)
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if (num_spaces % 4) == 3:
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num_spaces_should_be = math.ceil(num_spaces / 4) * 4
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lines[i] = ' ' * num_spaces_should_be + stripped_string
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return '\n'.join(lines)
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lines[i] = " " * num_spaces_should_be + stripped_string
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return "\n".join(lines)
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FENCED_BLOCK_RE = re.compile(
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dedent(r'''
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dedent(
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r"""
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(?P<fence>^[ \t]*(?:~{3,}|`{3,}))[ ]* # opening fence
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((\{(?P<attrs>[^\}\n]*)\})| # (optional {attrs} or
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(\.?(?P<lang>[\w#.+-]*)[ ]*)? # optional (.)lang
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@ -162,16 +164,17 @@ FENCED_BLOCK_RE = re.compile(
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\n # newline (end of opening fence)
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(?P<code>.*?)(?<=\n) # the code block
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(?P=fence)[ ]*$ # closing fence
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'''),
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re.MULTILINE | re.DOTALL | re.VERBOSE
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"""
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),
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re.MULTILINE | re.DOTALL | re.VERBOSE,
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)
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def get_line_range(re_match_obj, txt):
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start_pos, end_pos = re_match_obj.regs[0]
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num_newlines_before = txt[:start_pos+1].count('\n')
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num_newlines_before = txt[: start_pos + 1].count("\n")
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line_start = num_newlines_before
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line_end = num_newlines_before + txt[start_pos:end_pos].count('\n')+1
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line_end = num_newlines_before + txt[start_pos:end_pos].count("\n") + 1
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return line_start, line_end
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@ -181,14 +184,16 @@ def fix_code_segment_indent(txt):
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txt_tmp = txt
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while True:
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re_match_obj = FENCED_BLOCK_RE.search(txt_tmp)
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if not re_match_obj: break
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if len(lines) == 0: lines = txt.split("\n")
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if not re_match_obj:
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break
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if len(lines) == 0:
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lines = txt.split("\n")
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# 清空 txt_tmp 对应的位置方便下次搜索
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start_pos, end_pos = re_match_obj.regs[0]
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txt_tmp = txt_tmp[:start_pos] + ' '*(end_pos-start_pos) + txt_tmp[end_pos:]
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txt_tmp = txt_tmp[:start_pos] + " " * (end_pos - start_pos) + txt_tmp[end_pos:]
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line_start, line_end = get_line_range(re_match_obj, txt)
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# 获取公共缩进
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shared_indent_cnt = 1e5
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for i in range(line_start, line_end):
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@ -202,26 +207,26 @@ def fix_code_segment_indent(txt):
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num_spaces_should_be = math.ceil(shared_indent_cnt / 4) * 4
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for i in range(line_start, line_end):
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add_n = num_spaces_should_be - shared_indent_cnt
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lines[i] = ' ' * add_n + lines[i]
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if not change_any: # 遇到第一个
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lines[i] = " " * add_n + lines[i]
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if not change_any: # 遇到第一个
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change_any = True
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if change_any:
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return '\n'.join(lines)
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return "\n".join(lines)
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else:
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return txt
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@lru_cache(maxsize=128) # 使用 lru缓存 加快转换速度
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@lru_cache(maxsize=128) # 使用 lru缓存 加快转换速度
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def markdown_convertion(txt):
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"""
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将Markdown格式的文本转换为HTML格式。如果包含数学公式，则先将公式转换为HTML格式。
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"""
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pre = '<div class="markdown-body">'
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suf = '</div>'
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suf = "</div>"
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if txt.startswith(pre) and txt.endswith(suf):
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# print('警告，输入了已经经过转化的字符串，二次转化可能出问题')
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return txt # 已经被转化过，不需要再次转化
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return txt # 已经被转化过，不需要再次转化
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find_equation_pattern = r'<script type="math/tex(?:.*?)>(.*?)</script>'
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@ -229,18 +234,47 @@ def markdown_convertion(txt):
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# txt = fix_code_segment_indent(txt)
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if is_equation(txt): # 有$标识的公式符号，且没有代码段```的标识
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# convert everything to html format
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split = markdown.markdown(text='---')
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convert_stage_1 = markdown.markdown(text=txt, extensions=['sane_lists', 'tables', 'mdx_math', 'pymdownx.superfences', 'pymdownx.highlight'],
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extension_configs={**markdown_extension_configs, **code_highlight_configs})
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split = markdown.markdown(text="---")
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convert_stage_1 = markdown.markdown(
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text=txt,
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extensions=[
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"sane_lists",
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"tables",
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"mdx_math",
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"pymdownx.superfences",
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"pymdownx.highlight",
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],
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extension_configs={**markdown_extension_configs, **code_highlight_configs},
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)
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convert_stage_1 = markdown_bug_hunt(convert_stage_1)
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# 1. convert to easy-to-copy tex (do not render math)
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convert_stage_2_1, n = re.subn(find_equation_pattern, replace_math_no_render, convert_stage_1, flags=re.DOTALL)
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convert_stage_2_1, n = re.subn(
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find_equation_pattern,
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replace_math_no_render,
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convert_stage_1,
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flags=re.DOTALL,
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)
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# 2. convert to rendered equation
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convert_stage_2_2, n = re.subn(find_equation_pattern, replace_math_render, convert_stage_1, flags=re.DOTALL)
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convert_stage_2_2, n = re.subn(
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find_equation_pattern, replace_math_render, convert_stage_1, flags=re.DOTALL
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)
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# cat them together
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return pre + convert_stage_2_1 + f'{split}' + convert_stage_2_2 + suf
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return pre + convert_stage_2_1 + f"{split}" + convert_stage_2_2 + suf
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else:
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return pre + markdown.markdown(txt, extensions=['sane_lists', 'tables', 'pymdownx.superfences', 'pymdownx.highlight'], extension_configs=code_highlight_configs) + suf
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return (
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pre
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+ markdown.markdown(
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txt,
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extensions=[
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"sane_lists",
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"tables",
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"pymdownx.superfences",
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"pymdownx.highlight",
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],
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extension_configs=code_highlight_configs,
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)
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+ suf
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)
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def close_up_code_segment_during_stream(gpt_reply):
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@ -254,16 +288,16 @@ def close_up_code_segment_during_stream(gpt_reply):
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str: 返回一个新的字符串，将输出代码片段的“后面的```”补上。
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"""
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if '```' not in gpt_reply:
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if "```" not in gpt_reply:
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return gpt_reply
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if gpt_reply.endswith('```'):
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if gpt_reply.endswith("```"):
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return gpt_reply
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# 排除了以上两个情况，我们
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segments = gpt_reply.split('```')
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segments = gpt_reply.split("```")
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n_mark = len(segments) - 1
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if n_mark % 2 == 1:
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return gpt_reply + '\n```' # 输出代码片段中！
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return gpt_reply + "\n```" # 输出代码片段中！
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else:
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return gpt_reply
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@ -275,13 +309,23 @@ def format_io(self, y):
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if y is None or y == []:
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return []
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i_ask, gpt_reply = y[-1]
|
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i_ask = apply_gpt_academic_string_mask(i_ask, mode="show_render")
|
||||
gpt_reply = apply_gpt_academic_string_mask(gpt_reply, mode="show_render")
|
||||
# 输入部分太自由，预处理一波
|
||||
if i_ask is not None: i_ask = text_divide_paragraph(i_ask)
|
||||
if i_ask is not None:
|
||||
i_ask = text_divide_paragraph(i_ask)
|
||||
# 当代码输出半截的时候，试着补上后个```
|
||||
if gpt_reply is not None: gpt_reply = close_up_code_segment_during_stream(gpt_reply)
|
||||
# process
|
||||
if gpt_reply is not None:
|
||||
gpt_reply = close_up_code_segment_during_stream(gpt_reply)
|
||||
# 处理提问与输出
|
||||
y[-1] = (
|
||||
None if i_ask is None else markdown.markdown(i_ask, extensions=['pymdownx.superfences', 'tables', 'pymdownx.highlight'], extension_configs=code_highlight_configs),
|
||||
None if gpt_reply is None else markdown_convertion(gpt_reply)
|
||||
None
|
||||
if i_ask is None
|
||||
else markdown.markdown(
|
||||
i_ask,
|
||||
extensions=["pymdownx.superfences", "tables", "pymdownx.highlight"],
|
||||
extension_configs=code_highlight_configs,
|
||||
),
|
||||
None if gpt_reply is None else markdown_convertion(gpt_reply),
|
||||
)
|
||||
return y
|
||||
|
||||
56
shared_utils/text_mask.py
Normal file
56
shared_utils/text_mask.py
Normal file
@ -0,0 +1,56 @@
|
||||
import re
|
||||
from functools import lru_cache
|
||||
|
||||
# 这段代码是使用Python编程语言中的re模块，即正则表达式库，来定义了一个正则表达式模式。
|
||||
# 这个模式被编译成一个正则表达式对象，存储在名为const_extract_exp的变量中，以便于后续快速的匹配和查找操作。
|
||||
# 这里解释一下正则表达式中的几个特殊字符：
|
||||
# - . 表示任意单一字符。
|
||||
# - * 表示前一个字符可以出现0次或多次。
|
||||
# - ? 在这里用作非贪婪匹配，也就是说它会匹配尽可能少的字符。在(.*?)中，它确保我们匹配的任意文本是尽可能短的，也就是说，它会在</show_llm>和</show_render>标签之前停止匹配。
|
||||
# - () 括号在正则表达式中表示捕获组。
|
||||
# - 在这个例子中，(.*?)表示捕获任意长度的文本，直到遇到括号外部最近的限定符，即</show_llm>和</show_render>。
|
||||
|
||||
# -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=/1=-=-=-=-=-=-=-=-=-=-=-=-=-=/2-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
|
||||
const_extract_re = re.compile(
|
||||
r"<gpt_academic_string_mask><show_llm>(.*?)</show_llm><show_render>(.*?)</show_render></gpt_academic_string_mask>"
|
||||
)
|
||||
|
||||
|
||||
@lru_cache(maxsize=128)
|
||||
def apply_gpt_academic_string_mask(string, mode="show_all"):
|
||||
"""
|
||||
根据字符串要给谁看（大模型，还是web渲染），对字符串进行处理，返回处理后的字符串
|
||||
示意图：https://mermaid.live/edit#pako:eNqlkUtLw0AUhf9KuOta0iaTplkIPlpduFJwoZEwJGNbzItpita2O6tF8QGKogXFtwu7cSHiq3-mk_oznFR8IYLgrGbuOd9hDrcCpmcR0GDW9ubNPKaBMDauuwI_A9M6YN-3y0bODwxsYos4BdMoBrTg5gwHF-d0mBH6-vqFQe58ed5m9XPW2uteX3Tubrj0ljLYcwxxR3h1zB43WeMs3G19yEM9uapDMe_NG9i2dagKw1Fee4c1D9nGEbtc-5n6HbNtJ8IyHOs8tbs7V2HrlDX2w2Y7XD_5haHEtQiNsOwfMVa_7TzsvrWIuJGo02qTrdwLk9gukQylHv3Afv1ML270s-HZUndrmW1tdA-WfvbM_jMFYuAQ6uCCxVdciTJ1CPLEITpo_GphypeouzXuw6XAmyi7JmgBLZEYlHwLB2S4gHMUO-9DH7tTnvf1CVoFFkBLSOk4QmlRTqpIlaWUHINyNFXjaQWpCYRURUKiWovBYo8X4ymEJFlECQUpqaQkJmuvWygPpg
|
||||
"""
|
||||
if mode == "show_all":
|
||||
return string
|
||||
if mode == "show_llm":
|
||||
string = const_extract_re.sub(r"\1", string)
|
||||
elif mode == "show_render":
|
||||
string = const_extract_re.sub(r"\2", string)
|
||||
else:
|
||||
raise ValueError("Invalid mode")
|
||||
return string
|
||||
|
||||
|
||||
@lru_cache(maxsize=128)
|
||||
def build_gpt_academic_masked_string(text_show_llm="", text_show_render=""):
|
||||
"""
|
||||
根据字符串要给谁看（大模型，还是web渲染），生成带掩码tag的字符串
|
||||
"""
|
||||
return f"<gpt_academic_string_mask><show_llm>{text_show_llm}</show_llm><show_render>{text_show_render}</show_render></gpt_academic_string_mask>"
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Test
|
||||
input_string = (
|
||||
"你好\n"
|
||||
+ build_gpt_academic_masked_string(text_show_llm="mermaid", text_show_render="")
|
||||
+ "你好\n"
|
||||
)
|
||||
print(
|
||||
apply_gpt_academic_string_mask(input_string, "show_llm")
|
||||
) # Should print the strings with 'abc' in place of the academic mask tags
|
||||
print(
|
||||
apply_gpt_academic_string_mask(input_string, "show_render")
|
||||
) # Should print the strings with 'xyz' in place of the academic mask tags
|
||||
@ -19,6 +19,8 @@ from shared_utils.connect_void_terminal import get_chat_handle
|
||||
from shared_utils.connect_void_terminal import get_plugin_handle
|
||||
from shared_utils.connect_void_terminal import get_plugin_default_kwargs
|
||||
from shared_utils.connect_void_terminal import get_chat_default_kwargs
|
||||
from shared_utils.text_mask import apply_gpt_academic_string_mask
|
||||
from shared_utils.text_mask import build_gpt_academic_masked_string
|
||||
|
||||
pj = os.path.join
|
||||
default_user_name = "default_user"
|
||||
@ -67,7 +69,9 @@ class ChatBotWithCookies(list):
|
||||
|
||||
def ArgsGeneralWrapper(f):
|
||||
"""
|
||||
装饰器函数，用于重组输入参数，改变输入参数的顺序与结构。
|
||||
装饰器函数ArgsGeneralWrapper，用于重组输入参数，改变输入参数的顺序与结构。
|
||||
该装饰器是大多数功能调用的入口。
|
||||
函数示意图：https://mermaid.live/edit#pako:eNqNVFtPGkEY_StkntoEDQtLoTw0sWqapjQxVWPabmOm7AiEZZcsQ9QiiW012qixqdeqqIn10geBh6ZR8PJnmAWe-hc6l3VhrWnLEzNzzvnO953ZyYOYoSIQAWOaMR5LQBN7hvoU3UN_g5iu7imAXEyT4wUF3Pd0dT3y9KGYYUJsmK8V0GPGs0-QjkyojZgwk0Fm82C2dVghX08U8EaoOHjOfoEMU0XmADRhOksVWnNLjdpM82qFzB6S5Q_WWsUhuqCc3JtAsVR_OoMnhyZwXgHWwbS1d4gnsLVZJp-P6mfVxveqAgqC70Jz_pQCOGDKM5xFdNNPDdilF6uSU_hOYqu4a3MHYDZLDzq5fodrC3PWcEaFGPUaRiqJWK_W9g9rvRITa4dhy_0nw67SiePMp3oSR6PPn41DGgllkvkizYwsrmtaejTFd8V4yekGmT1zqrt4XGlAy8WTuiPULF01LksZvukSajfQQRAxmYi5S0D81sDcyzapVdn6sYFHkjhhGyel3frVQnvsnbR23lEjlhIlaOJiFPWzU5G4tfNJo8ejwp47-TbvJkKKZvmxA6SKo16oaazJysfG6klr9T0pbTW2ZqzlL_XaT8fYbQLXe4mSmvoCZXMaa7FePW6s7jVqK9bujvse3WFjY5_Z4KfsA4oiPY4T7Drvn1tLJTbG1to1qR79ulgk89-oJbvZzbIwJty6u20LOReWa9BvwserUd9s9MIKc3x5TUWEoAhUyJK5y85w_yG-dFu_R9waoU7K581y8W_qLle35-rG9Nxcrz8QHRsc0K-r9NViYRT36KsFvCCNzDRMqvSVyzOKAnACpZECIvSvCs2UAhS9QHEwh43BST0GItjMIS_I8e-sLwnj9A262cxA_ZVh0OUY1LJiDSJ5MAEiUijYLUtBORR6KElyQPaCSRDpksNSd8AfluSgHPaFC17wjrOlbgbzyyFf4IFPDvoD_sJvnkdK-g
|
||||
"""
|
||||
def decorated(request: gradio.Request, cookies, max_length, llm_model, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg, *args):
|
||||
txt_passon = txt
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user