Published
Edited
Oct 5, 2020
17 stars
output
tape2 = [... word]
transitions_array = d3.csvParse(transitions)
dot_notation = {
let t = transitions_array[2];
// return t.state + " -> " + t.new_state + '[label="' + '"';
let result = `${t.state} -> ${t.new_state} [label="${t.read} → ${t.write !== "" ? t.write + "," : ""} ${t.move}"]`
return result;
}
function transition_to_dot(t){
let result = `${t.state} -> ${t.new_state} [label="${t.read == " " ? "␣" : t.read} → ${t.write !== "" ? t.write + "," : ""} ${t.move}"]`;
return result;
}
function transition_to_text(t){
let result = `When in state ${t.state} and reading symbol ${t.read}: change the state to ${t.new_state},${t.write !== "" ? " write " + t.write + ",": ""} and move ${t.move == "R" ? "right" : "left"}.`;
return result;
}
transition_to_text(transitions_array[2])
transition_to_dot(transitions_array[2])
transitions_array.find(d => d.state == "q6" && d.read == "#")
find_transition = function(s, r) {
return transitions_array.find(d => d.state == s && d.read == r);
}
find_transition("q6", "#")
next_configuration({"tape": tape,
"state": "q1",
"head_position": 0,
"log": []})
tape = [... '00#00']
initial_configuration = ({"tape": tape,
"state": "q1",
"head_position": 0,
"log": []})
next_configuration(initial_configuration)
compute(initial_configuration)
log_i
tape_string = tape_with_head(log_i).join('')
exemplo_log = output.configuration.log[2]
function tape_with_head(d){
return d.tape.map((e,i) => i == d.head_position ? `[${e}]` : ` ${e} `)
}
tape_with_head(exemplo_log)
output = compute({"tape": tape2,
"state": "q1",
"head_position": 0,
"log": []})
// output.configuration.log.map(d => d.tape.join('')).join('\n')
log = output.configuration.log
split_tape(log[3])
dot = require("@observablehq/graphviz@0.2")
import {text} from "@jashkenas/inputs"
import {Scrubber} from "@mbostock/scrubber"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
