Hiroden Streetcar Route 5
Hiroden Streetcar route #5 "Hiroshima Station – (via Hijiyama-shita) – Hiroshima Port Route" runs between Hiroshima Station and Hiroshima Port via Hijiyama-shita.
| Hiroden Streetcar Route 5 | |
|---|---|
 A Hiroden streetcar at Hiroden Hiroshima Station in Hiroshima, Japan | |
| Overview | |
| Type | Tram |
| System | Hiroden Streetcar |
| Termini | Hiroshima Station Hiroshima Port |
| Stations | 18 |
Overview
| Route | Stations | Duration |
|---|---|---|
 |
18 | 28 min |
Lines
Horoden Streetcar route #5 is made up of next three lines. The train goes straight through from each direction.
Stations
| No. | Station | Routes | Connections | ||||
|---|---|---|---|---|---|---|---|
| M1 | Hiroshima Station |  |
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JR lines at JR Hiroshima Station █ JR Sanyo Shinkansen █ JR Sanyo Main Line █ JR Kure Line █ JR Kabe Line █ JR Geibi Line | |
| M2 | Enkobashi-cho | |
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| M3/H3 | Matoba-cho | |
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█ Hiroden Main Line | |
| H4 | Danbara 1-chome | |
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| H5 | Hijiyama-shita | |
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| H6 | Hijiyama-bashi | |
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| H7 | Minami-kuyakusho-mae | |
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| H8 | Minami-machi 2-chome | |
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| H9/U9 | Minami-machi 6-chome | |
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█ Hiroden Ujina Line | ||
| U10 | Hirodaifuzokugakkou-mae | |
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| U11 | Kenbyoin-mae | |
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| U12 | Ujina 2-chōme | |
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| U13 | Ujina 3-chōme | |
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| U14 | Ujina 4-chōme | |
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| U15 | Ujina 5-chōme | |
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| U16 | Kaigan-dori | |
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| U17 | Motoujina-guchi | |
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| U18 | Hiroshima Port | |
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█ ferries and hydrofoils for Matsuyama, Imabari, Kure, Miyajima, Etajima and some other islands in Seto Inland Sea | ||
gollark: `False`
gollark: `True`
gollark: ```pythonimport requestsimport randomimport fileinputdef weighted_choice(choices): total = sum(weight for choice, weight in choices) r = random.uniform(0, total) upto = 0 for choice, weight in choices: if upto + weight >= r: return choice upto += weight assert False, "Shouldn't get here"def get_rhymes(word, extra_params={}): default_params = { "rel_rhy": word, "max": 20, "md": "pf" } return requests.get("https://api.datamuse.com/words/", params={**default_params, **extra_params}).json()def get_frequency(word_object): for tag in word_object["tags"]: if tag.startswith("f:"): return float(tag[2:]) return 0def get_rhyme(word, params): options = get_rhymes(word, params) options = list(map(lambda word_object: (word_object["word"], get_frequency(word_object)), options)) if len(options) == 0: return word return weighted_choice(options)last = Nonefor line in fileinput.input(): line = line.replace("\n", "") if last != None: print(line + " " + get_rhyme(last, {})) last = None else: last = line.replace(".", "").split(" ")[-1] print(line)```
gollark: My automated rap generatorIs far superior to puny human rappers laterIt is backed by the entire resourcesOf this random online dictionary and word relation query API resource isTechnically it still relies on human interventionTo produce the input text to turn into rap intentionAnd due to the limitations of current natural language processingIt is unable to significantly transform the input text reprocessingThis is because spoken human languagesAre mostly not designed with machine-parseability language isor ease of understandingas major goals expandingand were we using better-designed languages, automated rapwould surely be much easier. app
gollark: Does that even rhyme?Um... BLIME!
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