data:image/png;base64,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

transfer variablecurrent_letter_position

1111-1can_move_readyselectorposition_x

itemCAN_MOVE_NUMBERCAN_MOVE_LETTER

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gQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==trueg005label all the x and y positions for coordinates on the board starting with h1 to h2 etc2000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc3000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc4000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc5000true00label all the x and y positions for coordinates on the board starting with h1 to h2 etc6000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etci-11i-11can_move_ready0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc0000true0label all the x and y positions for coordinates on the board starting with h1 to h2 etc

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