• Implement a DFA (Deterministic Finite Automaton) class
• Implement union, star, and concat operations for FAs

• Implement a converter that transforms a picture array (picArr) into a DFA
• Use the algorithm described in the paper for the conversion process

• Implement picture recognition functionality
• Given a DFA machine and a picture, determine if the picture is equal to the original picture of the DFA

• Implement picture classification functionality
• For each picture, determine which DFA machine it is closest to

• Implement a converter that recovers the original picture from a DFA machine
• Generate a picture array (picArr) from the given DFA

Note: You are allowed to modify the DFA class and project structure as needed. The primary goals are to ensure that the tests pass and the visualization is successful.