Lua Script for Adopt Me Pet Spawn with Validation and Suggestions

Effortlessly spawn your favorite Adopt Me pets with smart suggestions and validation!

Workflow Stage:
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Overview

This prompt provides a Lua script for spawning pets in the Adopt Me game, enhancing user experience. Programmers and game developers will benefit from the code’s structure and validation features.

Prompt Overview

Purpose: This Lua script facilitates pet spawning in the Adopt Me game with user-friendly validation.

Audience: The intended users are game developers and programmers working on the Adopt Me game.

Distinctive Feature: It includes a Levenshtein Distance function for suggesting similar pet names based on user input.

Outcome: Users can spawn pets accurately while receiving helpful suggestions for invalid inputs.

Quick Specs

  • Media: Code
  • Use case: Pet spawning in games
  • Techniques: Levenshtein Distance, Input validation
  • Models: Lua
  • Estimated time: 1 hour
  • Skill level: Intermediate

Variables to Fill

  • [string.lower(pet)] – String.lower(pet)
  • [i] – I
  • [0] – 0
  • [j] – J
  • [i-1] – I 1
  • [j-1] – J 1
  • [len_s] – Len S
  • [len_t] – Len T
  • [normalizedInput] – Normalizedinput

Example Variables Block

  • [string.lower(pet)]: dog
  • [i]: 1
  • [j]: 2
  • [j-1]: 1
  • [len_s]: 3
  • [len_t]: 4
  • [normalizedInput]: cat

The Prompt


“`lua
— Lua script for Adopt Me game:
— Spawn a pet from a predefined list with validation and suggestions
— 1. Define a list of valid pet names
local validPets = {
“Dog”,
“Cat”,
“Dragon”,
“Unicorn”,
“Turtle”,
“Penguin”,
“Horse”,
“Frog”,
“Wolf”,
“Rabbit”
}

— 2. Create a lowercase lookup table for validation
local petLookup = {}
for _, pet in ipairs(validPets) do
petLookup[string.lower(pet)] = pet
end
— 3. Helper: convert string to lowercase
local function toLower(str)
return string.lower(str or “”)
end
— 4. Levenshtein Distance function
local function levenshtein(s, t)
local len_s = #s
local len_t = #t
if len_s == 0 then return len_t end
if len_t == 0 then return len_s end
local matrix = {}
— Initialize matrix
for i = 0, len_s do
matrix[i] = [[0] = i]
end
for j = 0, len_t do
matrix[0][j] = j
end
for i = 1, len_s do
for j = 1, len_t do
local cost = (s:sub(i,i) == t:sub(j,j)) and 0 or 1
matrix[i][j] = math.min(
matrix[i-1][j] + 1, — deletion
matrix[i][j-1] + 1, — insertion
matrix[i-1][j-1] + cost — substitution
)

end
end
return matrix[len_s][len_t]
end
— 5. Suggest pet names close to invalid input
local function suggestPets(input, maxDistance)
local suggestions = {}
for _, pet in ipairs(validPets) do
local dist = levenshtein(toLower(input), toLower(pet))
if dist

Screenshot Examples

How to Use This Prompt

  1. validPets: List of valid pet names.
  2. petLookup: Lowercase lookup table for validation.
  3. toLower: Function to convert strings to lowercase.
  4. levenshtein: Calculates distance between two strings.
  5. suggestPets: Suggests pet names based on input.
  6. spawnPet: Function to spawn a pet via API.
  7. userInput: Input from user for pet name.
  8. normalizedInput: Lowercase version of user input.

Tips for Best Results

  • Input Validation: Always validate user input to prevent errors.
  • Use Lookup Tables: Optimize searches with lowercase lookup tables for quick validation.
  • Levenshtein Distance: Implement this algorithm for suggesting similar names to users.
  • Feedback Loop: Provide clear feedback and suggestions for invalid inputs to enhance user experience.

FAQ

  • What is the purpose of the validPets list?
    It defines the names of pets that can be spawned in the game.
  • How does the script validate pet names?
    It uses a lowercase lookup table to check if the input matches valid pet names.
  • What is the Levenshtein Distance function used for?
    It calculates the difference between two strings to suggest similar pet names.
  • What happens if an invalid pet name is entered?
    The script suggests similar valid pet names based on the input.

Compliance and Best Practices

  • Best Practice: Review AI output for accuracy and relevance before use.
  • Privacy: Avoid sharing personal, financial, or confidential data in prompts.
  • Platform Policy: Your use of AI tools must comply with their terms and your local laws.

Revision History

  • Version 1.0 (February 2026): Initial release.

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