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Animal Generator

exercises/animal_generator.livemd

Animal Generator

Mix.install([
  {:jason, "~> 1.4"},
  {:kino, "~> 0.8.0", override: true},
  {:youtube, github: "brooklinjazz/youtube"},
  {:hidden_cell, github: "brooklinjazz/hidden_cell"}
])

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Animal Generator

Often we need to create large amounts of fake data in order to test our applications. To simulate this experience, you’re going to build data for an animal simulator game.

Each animal will be represented with a map. Each map should have the keys name, animal_type, and age.

Use the following names, species, and age ranges to generate your animal data. You may alter this to suite your own creative preferences!

names = ["Clifford", "Zoboomafoo", "Leonardo"]
animal_types = ["dog", "lemur", "turtle"]
ages = 1..14

Your list of animals should include every permutation of names, species, and ages. There are 126 permutations in the data examples above.

Hint

Consider using names, animal_types, and ages as generators for a comprehension.

Example Solution

names = ["Clifford", "Zoboomafoo", "Leonardo"]
animal_types = ["dog", "lemur", "turtle"]
ages = 1..14

for name <- names, animal_type <- animal_types, age <- ages do
  %{name: name, animal_type: animal_type, age: age}
end 

Enter your solution below.

Mark As Completed

file_name = Path.basename(Regex.replace(~r/#.+/, __ENV__.file, ""), ".livemd")

save_name =
  case Path.basename(__DIR__) do
    "reading" -> "animal_generator_reading"
    "exercises" -> "animal_generator_exercise"
  end

progress_path = __DIR__ <> "/../progress.json"
existing_progress = File.read!(progress_path) |> Jason.decode!()

default = Map.get(existing_progress, save_name, false)

form =
  Kino.Control.form(
    [
      completed: input = Kino.Input.checkbox("Mark As Completed", default: default)
    ],
    report_changes: true
  )

Task.async(fn ->
  for %{data: %{completed: completed}} <- Kino.Control.stream(form) do
    File.write!(
      progress_path,
      Jason.encode!(Map.put(existing_progress, save_name, completed), pretty: true)
    )
  end
end)

form

Commit Your Progress

Run the following in your command line from the curriculum folder to track and save your progress in a Git commit. Ensure that you do not already have undesired or unrelated changes by running git status or by checking the source control tab in Visual Studio Code.

$ git checkout -b animal-generator-exercise
$ git add .
$ git commit -m "finish animal generator exercise"
$ git push origin animal-generator-exercise

Create a pull request from your animal-generator-exercise branch to your solutions branch. Please do not create a pull request to the DockYard Academy repository as this will spam our PR tracker.

DockYard Academy Students Only:

Notify your teacher by including @BrooklinJazz in your PR description to get feedback. You (or your teacher) may merge your PR into your solutions branch after review.

If you are interested in joining the next academy cohort, sign up here to receive more news when it is available.

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