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2.4 KiB
2.4 KiB
id, title, challengeType, dashedName
| id | title | challengeType | dashedName |
|---|---|---|---|
| 6a26df3e2988bcdded204893 | Challenge 357: Food Chain | 29 | challenge-357 |
--description--
Given an array of [predator, prey] pairs, return the food chain from the apex predator down to the bottom.
- The apex predator is the animal that is never prey to another animal.
- Return the chain as an array of strings.
--hints--
get_food_chain([["cat", "mouse"]]) should return ["cat", "mouse"].
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(get_food_chain([["cat", "mouse"]]), ["cat", "mouse"])`)
}})
get_food_chain([["wolf", "deer"], ["deer", "grass"]]) should return ["wolf", "deer", "grass"].
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(get_food_chain([["wolf", "deer"], ["deer", "grass"]]), ["wolf", "deer", "grass"])`)
}})
get_food_chain([["hawk", "snake"], ["snake", "frog"], ["frog", "fly"]]) should return ["hawk", "snake", "frog", "fly"].
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(get_food_chain([["hawk", "snake"], ["snake", "frog"], ["frog", "fly"]]), ["hawk", "snake", "frog", "fly"])`)
}})
get_food_chain([["rabbit", "grass"], ["fox", "rabbit"], ["eagle", "fox"]]) should return ["eagle", "fox", "rabbit", "grass"].
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(get_food_chain([["rabbit", "grass"], ["fox", "rabbit"], ["eagle", "fox"]]), ["eagle", "fox", "rabbit", "grass"])`)
}})
get_food_chain([["seal", "salmon"], ["herring", "shrimp"], ["orca", "seal"], ["shrimp", "plankton"], ["salmon", "herring"]]) should return ["orca", "seal", "salmon", "herring", "shrimp", "plankton"].
({test: () => { runPython(`
from unittest import TestCase
TestCase().assertEqual(get_food_chain([["seal", "salmon"], ["herring", "shrimp"], ["orca", "seal"], ["shrimp", "plankton"], ["salmon", "herring"]]), ["orca", "seal", "salmon", "herring", "shrimp", "plankton"])`)
}})
--seed--
--seed-contents--
def get_food_chain(pairs):
return pairs
--solutions--
def get_food_chain(pairs):
prey_set = {p for _, p in pairs}
chain_map = dict(pairs)
apex = next(predator for predator, _ in pairs if predator not in prey_set)
chain = [apex]
while chain[-1] in chain_map:
chain.append(chain_map[chain[-1]])
return chain