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

This is a game board which is expected to be square.

This creates a new empty board of n by n tiles

This is just like the ITEM OF block, but for our game board. You don't need to know how it works.

This is just like the REPLACE block, but for our game board. You don't need to know how it works.

For you to fill out! The following is simply starter code.

This returns a new distinct copy of the input board which will help prevent you from accidentally reseting list items.

For you to fill out! The following is simply starter code.

The block reports the score of an individual tile.

Returns a list of locations in board which are empty. The locations are length 2 lists as [row, col].

For you to fill out! The following is simply starter code.

which1r1

123

1datamapmany

data lists

110i

cont

catchtag

cont

catchtag

Sprite

For you to fill out! The following is simply starter code.

123

2,4,2,20,0,8,40,0,0,00,0,0,04false-11082,4,2,20,0,8,40,0,0,00,0,0,0