%3

{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# _automaton_.is_codeterministic\n", "\n", "Whether the automaton is codeterministic (its transposition is deterministic).\n", " \n", "Precondition:\n", "- labelset is free\n", "\n", "See also:\n", "- [automaton.is_deterministic](automaton.is_deterministic.ipynb)\n", "- [automaton.determinize](automaton.determinize.ipynb)\n", "- [automaton.codeterminize](automaton.codeterminize.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Examples" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import vcsn" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "mutable_automaton, b>>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%automaton -s a\n", "context = \"lal_char(ab), b\"\n", "$ -> 0\n", "0 -> 1 a\n", "0 -> 2 b\n", "1 -> 3 b\n", "2 -> 3 b\n", "3 -> $" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a.is_codeterministic()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a.transpose().is_deterministic()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.4" } }, "nbformat": 4, "nbformat_minor": 0 }

automaton.is_codeterministic

Examples