gpt-academic / crazy_functions /crazy_utils.py
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def breakdown_txt_to_satisfy_token_limit(txt, get_token_fn, limit):
def cut(txt_tocut, must_break_at_empty_line): # 递归
if get_token_fn(txt_tocut) <= limit:
return [txt_tocut]
else:
lines = txt_tocut.split('\n')
estimated_line_cut = limit / get_token_fn(txt_tocut) * len(lines)
estimated_line_cut = int(estimated_line_cut)
for cnt in reversed(range(estimated_line_cut)):
if must_break_at_empty_line:
if lines[cnt] != "": continue
print(cnt)
prev = "\n".join(lines[:cnt])
post = "\n".join(lines[cnt:])
if get_token_fn(prev) < limit: break
if cnt == 0:
print('what the fuck ?')
raise RuntimeError("存在一行极长的文本!")
# print(len(post))
# 列表递归接龙
result = [prev]
result.extend(cut(post, must_break_at_empty_line))
return result
try:
return cut(txt, must_break_at_empty_line=True)
except RuntimeError:
return cut(txt, must_break_at_empty_line=False)
def breakdown_txt_to_satisfy_token_limit_for_pdf(txt, get_token_fn, limit):
def cut(txt_tocut, must_break_at_empty_line): # 递归
if get_token_fn(txt_tocut) <= limit:
return [txt_tocut]
else:
lines = txt_tocut.split('\n')
estimated_line_cut = limit / get_token_fn(txt_tocut) * len(lines)
estimated_line_cut = int(estimated_line_cut)
cnt = 0
for cnt in reversed(range(estimated_line_cut)):
if must_break_at_empty_line:
if lines[cnt] != "": continue
print(cnt)
prev = "\n".join(lines[:cnt])
post = "\n".join(lines[cnt:])
if get_token_fn(prev) < limit: break
if cnt == 0:
# print('what the fuck ? 存在一行极长的文本!')
raise RuntimeError("存在一行极长的文本!")
# print(len(post))
# 列表递归接龙
result = [prev]
result.extend(cut(post, must_break_at_empty_line))
return result
try:
return cut(txt, must_break_at_empty_line=True)
except RuntimeError:
try:
return cut(txt, must_break_at_empty_line=False)
except RuntimeError:
# 这个中文的句号是故意的,作为一个标识而存在
res = cut(txt.replace('.', '。\n'), must_break_at_empty_line=False)
return [r.replace('。\n', '.') for r in res]