Line 2 (Jinan Metro)

Jinan Metro Line 2 (Chinese: 济南地铁2号线; pinyin: Jǐnán Dìtiě Èr Hào Xiàn) is an under-construction rapid transit line in Jinan, China. The line use six-car Type B rolling stock. The line is 36.39 kilometres (22.61 mi) in length, including a 34.5-kilometre (21.4-mile)-long underground section.

Line 2
Overview
Other name(s)R2[1] (construction name)
Typerapid transit
SystemJinan Metro
Statusunder construction
LocaleJinan
TerminiWangfuzhuang
Pengjiazhuang
Stations19 (Phase 1)
Operation
Opened2020 (Planned)[2]
Characterunderground and elevated
Rolling stock6-car Type B
Technical
Line length36.39 km (22.61 mi)
Track gauge1,435 mm (4 ft 8 12 in)
Operating speed100 km/h (62 mph)
Line 2
Pengjiazhuang
Jigangxincun
Lieshilingyuan
Kaiyuanlu
Bajianpu
 3 
Xinzhulu
Erhuandonglu
Lishanbeilu
Lihuanglu
Shengchanlu
Changtuqichezhan
Baohuajie
Wanshengbeijie
Baliqiao
Yanqianhu
Xierhuan
Lashan
Renjiazhuang
Wangfuzhuang
 1 

Stations

Station Name Connections Distance
km
English Chinese
Wangfuzhuang 王府庄  1     
Renjiazhuang 任家庄    
Lashan 腊山    
Xierhuan 西二环    
Yanqianhu 闫千户    
Baliqiao 八里桥    
Wanshengbeijie 万盛北街    
Baohuajie 宝华街    
Changtuqichezhan 长途汽车站    
Shengchanlu 生产路    
Lihuanglu 历黄路    
Lishanbeilu 历山北路    
Erhuandonglu 二环东路    
Xinzhulu 辛祝路    
Bajianpu 八涧堡  3     
Kaiyuanlu 开源路    
Lieshilingyuan 烈士陵园    
Jigangxincun 济钢新村    
Pengjiazhuang 彭家庄    
gollark: It's kind of obsoleted by NVMe disks now.
gollark: Does it print `done!` at least?
gollark: I think the issue is that your `bot` is separate from the `client` and never actually started up.
gollark: ·Oh, `bot.run`, right.
gollark: ```pythonfrom transformers import GPT2LMHeadModel, GPT2Tokenizerimport discord.extfrom discord.ext import commandsTOKEN = 'NOT TELLING YOU'bot = commands.Bot(command_prefix='$')@bot.eventasync def on_ready(): print("done!")@bot.command()async def test(ctx, arg): inputs = arg # initialize tokenizer and model from pretrained GPT2 model tokenizer = GPT2Tokenizer.from_pretrained('gpt2') model = GPT2LMHeadModel.from_pretrained('gpt2') outputs = model.generate( inputs, max_length=200, do_sample=True, temperature=1, top_k=50 ) response = (tokenizer.decode(outputs[0], skip_special_tokens=True)) await ctx.send(response)client.run(TOKEN)```

References

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