Difference between revisions of "Theoretical Aspects of Lexical Analysis/Exercise 5"

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(NFA)
(NFA)
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print '<div id="mynetwork2" style="height: 400px;"></div><script type="text/javascript">var container = document.getElementById("mynetwork2"); var nodes = [ {id: 0, label: "0", group: "all", level: 1}, {id: 1, label: "1", level: 2, group: "t1"}, {id: 2, label: "2", level: 3, group: "t1"}, {id: 3, label: "3", level: 4, borderWidth: 3, group: "t1"}, {id: 4, label: "4", level: 2, group: "t2"}, {id: 5, label: "5", level: 3, group: "t2"}, {id: 6, label: "6", level: 4, group: "t2"}, {id: 7, label: "7", level: 5, group: "t2"}, {id: 8, label: "8", level: 5, borderWidth: 3, group: "t2"}, {id: 9, label: "9", level: 2, group: "t3"}, {id: 10, label: "10", level: 3, group: "t3"}, {id: 11, label: "11", level: 4, group: "t3"}, {id: 12, label: "12", level: 3, group: "t3"}, {id: 13, label: "13", level: 4, group: "t3"}, {id: 14, label: "14", borderWidth: 3, level: 5, group: "t3"} ]; var edges = [  {from: 0, to: 1}, {from: 1, to: 2, label: "a" }, {from: 2, to: 3, label: "b" }, {from: 0, to: 4}, {from: 4, to: 5, label: "a" }, {from: 5, to: 6}, {from: 5, to: 8}, {from: 6, to: 7, label: "b" }, {from: 7, to: 6}, {from: 7, to: 8}, {from: 0, to: 9}, {from: 9, to: 10}, {from: 9, to: 12}, {from: 10, to: 11, label: "a" }, {from: 12, to: 13, label: "b" }, {from: 11, to: 14}, {from: 13, to: 14}, ]; var options = { groups: { t1: { color: { border: "#41a906", background: "#7be141", highlight: { border: "#41a906", background: "#7be141", } } }, t2: { color: { border: "#f31d22", background: "#fa8a8c", highlight: { border: "#f31d22", background: "#fa8a8c", } } }, t3: { color: { border: "#ffa500", background: "#ffff00", highlight: { border: "#ffa500", background: "#ffff00", } } } }, edges: { style: "arrow" }, nodes: { color: { background: "white", border: "#2B7CE9" }, radius: 30 }, hierarchicalLayout: { direction: "LR" }, zoomable: false }; var data = { nodes: nodes, edges: edges }; var network = new vis.Network(container, data, options);</script>';
+
print '<div id="mynetwork2" style="height: 400px;"></div><script type="text/javascript">var container = document.getElementById("mynetwork2"); var nodes = [ {id: 0, label: "0", group: "all", level: 1}, {id: 1, label: "1", level: 2, group: "t1"}, {id: 2, label: "2", level: 3, group: "t1"}, {id: 3, label: "3", level: 4, borderWidth: 3, group: "t1"}, {id: 4, label: "4", level: 2, group: "t2"}, {id: 5, label: "5", level: 3, group: "t2"}, {id: 6, label: "6", level: 4, group: "t2"}, {id: 7, label: "7", level: 5, group: "t2"}, {id: 8, label: "8", level: 5, borderWidth: 3, group: "t2"}, {id: 9, label: "9", level: 2, group: "t3"}, {id: 10, label: "10", level: 3, group: "t3"}, {id: 11, label: "11", level: 4, group: "t3"}, {id: 12, label: "12", level: 3, group: "t3"}, {id: 13, label: "13", level: 4, group: "t3"}, {id: 14, label: "14", borderWidth: 3, level: 5, group: "t3"} ]; var edges = [  {from: 0, to: 1}, {from: 1, to: 2, label: "a" }, {from: 2, to: 3, label: "b" }, {from: 0, to: 4}, {from: 4, to: 5, label: "a" }, {from: 5, to: 6}, {from: 5, to: 8}, {from: 6, to: 7, label: "b" }, {from: 7, to: 6}, {from: 7, to: 8}, {from: 0, to: 9}, {from: 9, to: 10}, {from: 9, to: 12}, {from: 10, to: 11, label: "a" }, {from: 12, to: 13, label: "b" }, {from: 11, to: 14}, {from: 13, to: 14}, ]; var options = { groups: { t1: { color: { border: "#41a906", background: "#7be141", highlight: { border: "#41a906", background: "#7be141", } } }, t2: { color: { border: "#f31d22", background: "#fa8a8c", highlight: { border: "#f31d22", background: "#fa8a8c", } } }, t3: { color: { border: "#ffa500", background: "#ffff00", highlight: { border: "#ffa500", background: "#ffff00", } } } }, edges: { style: "arrow" }, nodes: { color: { background: "white", border: "#2B7CE9" }, radius: 30 },   zoomable: false }; var data = { nodes: nodes, edges: edges }; var network = new vis.Network(container, data, options);</script>';
 
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Revision as of 17:42, 17 February 2015

Compute the non-deterministic finite automaton (NFA) by using Thompson's algorithm. Compute the minimal deterministic finite automaton (DFA).
The alphabet is Σ = { a, b }. Indicate the number of processing steps for the given input string.

  • G = { ab, ab*, a|b }, input string = abaabb

NFA

The following is the result of applying Thompson's algorithm. State 3 recognizes the first expression (token T1); state 8 recognizes token T2; and state 14 recognizes token T3.

DFA

Determination table for the above NFA:

In α∈Σ move(In, α) ε-closure(move(In, α)) In+1 = ε-closure(move(In, α))
- - 0 0, 1, 4, 9, 10, 12 0
0 a 2, 5, 11 2, 5, 6, 8, 11, 14 1 (T2)
0 b 13 13, 14 2 (T3)
1 a - - -
1 b 3, 7 3, 6, 7, 8 3 (T1)
2 a - - -
2 b - - -
3 a - - -
3 b 7 6, 7, 8 4 (T2)
4 a - - -
4 b 7 6, 7, 8 4 (T2)

Graphically, the DFA is represented as follows:

The minimization tree is as follows. Note that before considering transition behavior, states are split according to the token they recognize.


The tree expansion for non-splitting sets has been omitted for simplicity ("a" transition for final states {1, 4}).

Given the minimization tree, the final minimal DFA is exactly the same as the original DFA (all leaf sets are singular).

Input Analysis

In Input In+1 / Token
0 abaabb$ 1
1 baabb$ 3
3 aabb$ T1
0 aabb$ 1
1 abb$ T2
0 abb$ 1
1 bb$ 3
3 b$ 4
4 $ T2

The input string abaabb is, after 9 steps, split into three tokens: T1 (corresponding to lexeme ab), T2 (a), and T2 (abb).