data:image/png;base64,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

Checks to see if the number is greater than the number set as minimum and is lower than the number set as maximum

Checks to see if the number is greater than the number set as minimum and is lower than the number set as maximumfalse

Checks which position is closer to the user's input value creating a square at the middle

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5050