Develop an AI prompt that solves random 12-token instances of the A::B problem (defined here), with 90%+ success rate.
We'll use your prompt as the SYSTEM PROMPT, and a specific instance of problem as the PROMPT, inside XML tags. Example:
Develop an AI prompt that solves random 12-token instances of the A::B problem (defined here), with 90%+ success rate.
We'll use your prompt as the SYSTEM PROMPT, and a specific instance of problem as the PROMPT, inside XML tags. Example:
The package that linked you here is now pure ESM. It cannot be require()
'd from CommonJS.
This means you have the following choices:
import foo from 'foo'
instead of const foo = require('foo')
to import the package. You also need to put "type": "module"
in your package.json and more. Follow the below guide.await import(…)
from CommonJS instead of require(…)
.#!/usr/bin/python2 | |
USAGESTR = """Usage: fetchsub.py [-l langcode] videofile1 [videofile2 ...] | |
langcode: chn [default] | |
eng | |
sub file will saved in the same directory of each videofile | |
XXXXXXX.mkv 's sub files will named as: | |
XXXXXXX.chn.0.srt, XXXXXXX.chn.1.srt, XXXXXXX.chn.2.srt | |
""" | |
"""Author: sevenever |