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CPSC 388 – Compiler Design and Construction

CPSC 388 – Compiler Design and Construction. Scanners – Finite State Automata. Compilers Organization. Lexical Analyzer (Scanner). Syntax Analyzer (Parser). Symantic Analyzer. Intermediate Code Generator. Symbol Table. Optimizer. Code Generator. The Scanner.

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CPSC 388 – Compiler Design and Construction

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  1. CPSC 388 – Compiler Design and Construction Scanners – Finite State Automata

  2. Compilers Organization Lexical Analyzer (Scanner) Syntax Analyzer (Parser) Symantic Analyzer Intermediate Code Generator Symbol Table Optimizer Code Generator

  3. The Scanner • Input: characters from the source program. • Groups characters into lexemes sequences of characters that "go together" • Output: tokens (plus maybe some additional information) • Scanner also discovers lexical errors (e.g., erroneous characters such as # in java). • each time scanner’s nextToken() method is called: find longest sequence of characters in input stream, starting with the current character, that corresponds to a lexeme, and should return the corresponding token

  4. Scanner Generators • Scanner Generators make Scanners(don’t need to hand code a scanner) • Lex and Flex create C source code for scanner • JFlex creates Java source code for scanner • Input to Scanner Generator is a file containing (among other things) Regular Expressions

  5. Scanner Generator Scanner Generator .Jlex file Containing Regular Expressions .java file Containing Scanner code To understand Regular Expressions you need to understand Finite-State Automata

  6. Finite State Automata • A compiler recognizes legal programs in some (source) language. • A finite-state machine recognizes legal strings in some language. • The input is a sequence of characters. • The output is to accept or reject input

  7. A Example FSM • Nodes are states. • Edges (arrows) are transitions, labeled with a single character. My single edge labeled "letter“ stands for 52 edges labeled 'a', 'b', ..., 'z', 'A', ..., 'Z'.(Similarly for “digit“) • S is the start state; every FSA has exactly one (a standard convention is to label the start state "S"). • A is a final state. By convention, final states are drawn using a double circle, and non-final states are drawn using single circles. A FSA may have more than one final state. letter,digit letter S

  8. A Applying FSA to Input • The FSA starts in its start state. • If there is a edge out of the current state whose label matches the current input character, then the FSA moves to the state pointed to by that edge, and "consumes" that character; otherwise, it gets stuck. • The finite-state automata stops when it gets stuck or when it has consumed all of the input characters. • An input string is accepted by a FSA if: • The entire string is consumed (the machine did not get stuck) • the machine ends in a final state. • The language defined by a FSA is the set of strings accepted by the FSA. letter,digit 1AbeR6 343 A? aX23 Y1aBss c letter S

  9. Try It • Question 1: Write a finite-state automata that accepts Java identifiers (one or more letters, digits, underscores, or dollar signs, not starting with a digit). • Question 2: Write a finite-state automata that accepts only Java identifiers that do not end with an underscore.

  10. B Another Example FSA FSA accepts integers with optional plus or minus digit digit S digit A +-

  11. FSA Formal Definition (5-tuple) Q – a finite set of states Σ – The alphabet of the automata (finite set of characters to label edges) δ – state transition functionδ(statei,character)  statej q – The start state F – The set of final states

  12. Transition Table for δ(statei,character)  statej

  13. Types of FSA • Deterministic (DFA) • No State has more than one outgoing edge with the same label • Non-Deterministic (NFA) • States may have more than one outgoing edge with same label. • Edges may be labeled with ε, the empty string. The FSA can take an epsilon transition without looking at the current input character.

  14. B Example NFA NFA accepts integers with optional plus or minus A string is accepted by a NFA if there exists a sequence of moves starting in the start state, ending in a final state, that consumes the entire string Consider Scanning +75 After Scanning Can be in State (nothing) S A + A -stuck- +7 B -stuck- +75 B -stuck- Accept Input digit S digit A +- ε

  15. NFA, DFA equivalence For every non-deterministic finite-state automata M, there exists a deterministic automata M' such that M and M' accept the same language.

  16. Programming a DFA • Use a Table current_state=S (start state) Repeat: read next character use table to update current_state Until machine gets stuck (reject) or entire input is read If current_state == one of final states accept Else reject

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