├── .idea ├── automata_python.iml ├── inspectionProfiles │ ├── Project_Default.xml │ └── profiles_settings.xml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── LICENSE.md ├── PKG-INFO ├── README.md ├── automata ├── __init__.py ├── __pycache__ │ └── __init__.cpython-35.pyc ├── data_structures │ ├── __init__.py │ ├── __pycache__ │ │ ├── Stack.cpython-35.pyc │ │ └── __init__.cpython-35.pyc │ └── stack.py ├── fa │ ├── DFA.py │ ├── Mealy.py │ ├── Moore.py │ ├── NDFA.py │ ├── __init__.py │ └── __pycache__ │ │ ├── DFA.cpython-35.pyc │ │ ├── Mealy.cpython-35.pyc │ │ ├── Moore.cpython-35.pyc │ │ └── __init__.cpython-35.pyc ├── language.py └── testing.py ├── automata_python.egg-info ├── PKG-INFO ├── SOURCES.txt ├── dependency_links.txt └── top_level.txt ├── dist ├── automata_python-0.0.1.tar.gz └── automata_python-0.0.3.tar.gz ├── images ├── automata-header.png └── automatasub.png ├── setup.cfg └── setup.py /.idea/automata_python.iml: 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Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | automata_python Copyright (C) 2016 Hemang S Kumar 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /PKG-INFO: -------------------------------------------------------------------------------- 1 | Metadata-Version: 0.0.1 2 | Name: automata_python 3 | Version: 0.0.3 4 | Summary: Python Automata Library 5 | Home-page: https://github.com/hemangsk/automata-python 6 | Author: Hemang Kumar 7 | Author-email: hemangsk@gmail.com 8 | License: GPLv3 9 | Description: Automata-Python 10 | ======== 11 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # automata_python 2 | 3 | 4 |

5 | PyPI version 6 | 7 | 8 | 9 | 10 |

11 | 12 | 13 | 14 | 15 | 16 |
17 | 18 | ## Installation 19 | 20 | - Using PIP 21 | 22 | ``` 23 | pip install automata_python 24 | ``` 25 | 26 | - Using GitHub 27 | 28 | ``` 29 | git clone https://github.com/hemangsk/automata-python.git 30 | ``` 31 | 32 | 33 | ## Project Structure 34 | 35 |
automata
36 | 37 | -
38 |
fa 39 |
40 |
finite automata package
41 |
42 | -
43 |
data-structures
44 |
contains the data structures used
45 |
46 | 47 | 48 | 49 |
fa
50 | 51 | -
52 |
DFA 53 |
54 |
Deterministic Finite Automata
55 |
56 | -
57 |
NDFA
58 |
Non Deterministic Finite Automata
59 |
60 | -
61 |
Mealy
62 |
Mealy Machine
63 |
64 | -
65 |
Moore
66 |
Moore Machine
67 |
68 | 69 | 70 |
data-structures
71 | 72 | -
73 |
Stack 74 |
75 |
The class implementing Stack
76 |
77 | -------------------------------------------------------------------------------- /automata/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/__init__.py -------------------------------------------------------------------------------- /automata/__pycache__/__init__.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/__pycache__/__init__.cpython-35.pyc -------------------------------------------------------------------------------- /automata/data_structures/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/data_structures/__init__.py -------------------------------------------------------------------------------- /automata/data_structures/__pycache__/Stack.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/data_structures/__pycache__/Stack.cpython-35.pyc -------------------------------------------------------------------------------- /automata/data_structures/__pycache__/__init__.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/data_structures/__pycache__/__init__.cpython-35.pyc -------------------------------------------------------------------------------- /automata/data_structures/stack.py: -------------------------------------------------------------------------------- 1 | class Stack: 2 | 3 | def __init__(self): 4 | self.stack = [] 5 | 6 | def push(self, item): 7 | self.stack.append((item)) 8 | 9 | def pop(self): 10 | return self.stack.pop() 11 | 12 | def isEmpty(self): 13 | return self.stack == [] 14 | 15 | def size(self): 16 | return len(self.stack) 17 | 18 | def top(self): 19 | return self.stack[self.size() - 1] 20 | 21 | def __contains__(self, item): 22 | for x in self.stack: 23 | #print ("in Stack" + str(x)) 24 | if x == item: 25 | return True 26 | 27 | return False 28 | 29 | 30 | def __str__(self): 31 | output = "[ " 32 | for x in self.stack: 33 | output += str(x) 34 | output += ", " 35 | 36 | return output[:-2] + " ]" -------------------------------------------------------------------------------- /automata/fa/DFA.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | 4 | class DFA(object): 5 | """Deterministic Finite Automata""" 6 | 7 | def __init__(self, states, alphabet, transitions, initial_state, final_states): 8 | """ 9 | Q is a finite set of states. 10 | 11 | sigma is a finite set of symbols called the alphabet. 12 | 13 | delta is the list of transitions based on transition relation. 14 | 15 | q0 is the initial state from where any input is processed (q0 ∈ Q). 16 | 17 | F is a set of final state/states of Q (F ⊆ Q). 18 | """ 19 | 20 | self.states = states #list 21 | self.alphabet = alphabet #list 22 | self.transitions = transitions #dict 23 | self.initial_state = initial_state #char 24 | self.final_states = final_states #list 25 | 26 | """ 27 | states=['q0', 'q1'], 28 | alphabets=['a', 'b'], 29 | transitions={ 30 | 'q0': {'a': 'q0', 'b': 'q1'}, 31 | 'q1': {'a': 'q0', 'b': 'q1'}, 32 | }, 33 | initial_state='q0', 34 | final_states=['q1'] 35 | """ 36 | 37 | def is_string_valid(self, string): 38 | """Return True if string is accepted by DFA, otherwise return False""" 39 | 40 | inputs = list(string) 41 | current_state = self.initial_state 42 | 43 | for letter in inputs: 44 | try: 45 | 46 | if letter in self.transitions[current_state]: 47 | current_state = self.transitions[current_state][letter] 48 | 49 | else: 50 | return False 51 | except KeyError as e: 52 | return False 53 | 54 | if current_state in self.final_states: 55 | return True 56 | 57 | return False 58 | 59 | def minimize(self): 60 | 61 | state_list = [list(set(self.states) - set(self.final_states)), self.final_states] 62 | 63 | foo_dict = {} 64 | final_list = [] 65 | 66 | while(1): 67 | 68 | if state_list == final_list : 69 | break 70 | final_list, foo_dict = self.create_foo_dict(state_list, foo_dict) 71 | state_list = self.create_state_list(foo_dict) 72 | 73 | new_states_dict = {} 74 | minified_initial_state = '' 75 | minified_states = [] 76 | minified_final_states = [] 77 | i = 0 78 | for x in state_list: 79 | for y in x: 80 | string = 'P' + str(i) 81 | new_states_dict[y] = string 82 | if y in self.final_states and string not in minified_final_states: 83 | minified_final_states.append(string) 84 | 85 | if y == self.initial_state and minified_initial_state == '': 86 | minified_initial_state = string 87 | 88 | if string not in minified_states: 89 | minified_states.append(string) 90 | 91 | i += 1 92 | 93 | minified_transitions = {} 94 | for x in self.alphabet: 95 | for s in self.states: 96 | try: 97 | minified_transitions[new_states_dict[s]][x] = new_states_dict[self.transitions[s][x]] 98 | except KeyError as e: 99 | minified_transitions[new_states_dict[s]] = {} 100 | minified_transitions[new_states_dict[s]][x] = new_states_dict[self.transitions[s][x]] 101 | 102 | minified_dfa = DFA(minified_states, self.alphabet, minified_transitions, minified_initial_state, minified_final_states) 103 | print(minified_dfa) 104 | 105 | def create_state_list(self, foo_dict): 106 | temp_list = [] 107 | for x in foo_dict.keys(): 108 | temp_list.append(foo_dict[x]) 109 | 110 | temp_list_2 = [] 111 | for x in temp_list: 112 | if x not in temp_list_2: 113 | temp_list_2.append(x) 114 | 115 | state_list = [] 116 | 117 | for x in temp_list_2: 118 | state_list_element = [] 119 | for k,v in foo_dict.items(): 120 | if v == x: 121 | state_list_element.append(k) 122 | state_list.append(state_list_element) 123 | 124 | return state_list 125 | 126 | def create_foo_dict(self, state_list, foo_dict): 127 | 128 | for x in self.states: 129 | for a in self.alphabet: 130 | for y in state_list: 131 | if self.transitions[x][a] in y: 132 | try: 133 | foo_dict[x].append(state_list.index(y)) 134 | except KeyError as e: 135 | foo_dict[x] = [] 136 | foo_dict[x].append(state_list.index(y)) 137 | 138 | return state_list, foo_dict 139 | 140 | def __str__(self): 141 | """"Pretty Print the DFA""" 142 | 143 | output = "\nDeterministic Finite Automata" + \ 144 | "\nStates " + str(self.states) + \ 145 | "\nAlphabet " + str(self.alphabet) + \ 146 | "\nTransitions " + str(self.transitions) + \ 147 | "\nInital State " + str(self.initial_state) + \ 148 | "\nFinal States " + str(self.final_states) 149 | 150 | return output 151 | 152 | 153 | 154 | 155 | d = DFA( 156 | ['q0', 'q1', 'q2', 'q3', 'q4', 'q5', 'q6', 'q7', 'q8','q9','q10'], 157 | ['a', 'b'], 158 | { 159 | 160 | 'q0': {'a': 'q3', 'b': 'q2'}, 161 | 'q1': {'a': 'q6', 'b': 'q2'}, 162 | 'q2': {'a': 'q8', 'b': 'q5'}, 163 | 'q3': {'a': 'q0', 'b': 'q1'}, 164 | 'q4': {'a': 'q2', 'b': 'q5'}, 165 | 'q5': {'a': 'q4', 'b': 'q3'}, 166 | 'q6': {'a': 'q1', 'b': 'q0'}, 167 | 'q7': {'a': 'q4', 'b': 'q6'}, 168 | 'q8': {'a': 'q2', 'b': 'q7'}, 169 | 'q9': {'a': 'q7', 'b': 'q10'}, 170 | 'q10': {'a': 'q5', 'b': 'q9'} 171 | 172 | }, 173 | 'q0', 174 | ['q3', 'q4', 'q6','q8'] 175 | ) 176 | 177 | d.minimize() 178 | """ 179 | print(d.is_string_valid('ababba')) 180 | print(d.convert_to_dfa()) 181 | print(d) 182 | """ -------------------------------------------------------------------------------- /automata/fa/Mealy.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | 4 | 5 | class Mealy(object): 6 | """Mealy Machine : Finite Automata with Output """ 7 | 8 | def __init__(self, states, input_alphabet, output_alphabet, transitions, initial_state): 9 | """ 10 | 6 tuple (Q, ∑, O, δ, X, q0) where − 11 | 12 | states is a finite set of states. 13 | 14 | alphabet is a finite set of symbols called the input alphabet. 15 | 16 | output_alphabet is a finite set of symbols called the output alphabet. 17 | 18 | transitions is the resultant data dictionary of input and output transition functions 19 | 20 | initial_state is the initial state from where any input is processed (q0 ∈ Q). 21 | """ 22 | self.states = states 23 | self.input_alphabet = input_alphabet 24 | self.output_alphabet = output_alphabet 25 | self.transitions = transitions 26 | self.initial_state = initial_state 27 | 28 | def get_output_from_string(self, string): 29 | """Return Mealy Machine's output when a given string is given as input""" 30 | 31 | temp_list = list(string) 32 | current_state = self.initial_state 33 | output = '' 34 | for x in temp_list: 35 | output+= self.transitions[current_state][x][1] 36 | current_state = self.transitions[current_state][x][0] 37 | 38 | return output 39 | 40 | def convert_to_moore(self): 41 | moore_transitions = {} 42 | temp_list = [] 43 | moore_output_table = {} 44 | moore_initial_state = self.initial_state 45 | for x in self.transitions.keys(): 46 | for a in self.input_alphabet: 47 | temp_list.append(self.transitions[x][a]) 48 | 49 | temp_list_2 = [] 50 | for x in temp_list: 51 | for y in temp_list: 52 | if x[0] == y[0] and x[1] != y[1]: 53 | if x not in temp_list_2 and y not in temp_list_2: 54 | temp_list_2.append(x) 55 | temp_list_2.append(y) 56 | 57 | temp_list_3 = [] 58 | for x in temp_list_2: 59 | if x[0] not in temp_list_3: 60 | temp_list_3.append(x[0]) 61 | 62 | if self.initial_state in temp_list_3: 63 | moore_initial_state = self.initial_state + self.output_alphabet[0] 64 | 65 | for x in temp_list_2: 66 | for a in self.input_alphabet: 67 | if self.transitions[x[0]][a][0] in temp_list_3: 68 | next_state = self.transitions[x[0]][a][0] 69 | output = self.transitions[x[0]][a][1] 70 | 71 | next_state = next_state + output 72 | try: 73 | moore_transitions[x[0] + x[1]][a] = next_state 74 | except KeyError as e: 75 | moore_transitions[x[0] + x[1]] = {} 76 | moore_transitions[x[0] + x[1]][a] = next_state 77 | 78 | if next_state not in moore_output_table.keys(): 79 | moore_output_table[next_state] = output 80 | 81 | else: 82 | try: 83 | moore_transitions[x[0] + x[1]][a] = self.transitions[x[0]][a][0] 84 | except KeyError as e: 85 | moore_transitions[x[0] + x[1]] = {} 86 | moore_transitions[x[0] + x[1]][a] = self.transitions[x[0]][a][0] 87 | 88 | if moore_transitions[x[0] + x[1]][a] not in moore_output_table.keys(): 89 | moore_output_table[moore_transitions[x[0] + x[1]][a]] = self.transitions[x[0]][a][1] 90 | 91 | for x in self.transitions.keys(): 92 | if x not in moore_transitions.keys() and x not in temp_list_3: 93 | for a in self.input_alphabet: 94 | if self.transitions[x][a][0] in temp_list_3: 95 | next_state = self.transitions[x][a][0] 96 | output = self.transitions[x][a][1] 97 | 98 | next_state = next_state + output 99 | try: 100 | moore_transitions[x][a] = next_state 101 | except KeyError as e: 102 | moore_transitions[x] = {} 103 | moore_transitions[x][a] = next_state 104 | 105 | if next_state not in moore_output_table.keys(): 106 | moore_output_table[next_state] = output 107 | 108 | else: 109 | try: 110 | moore_transitions[x][a] = self.transitions[x][a][0] 111 | except KeyError as e: 112 | moore_transitions[x] = {} 113 | moore_transitions[x][a] = self.transitions[x][a][0] 114 | 115 | if self.transitions[x][a][0] not in moore_output_table.keys(): 116 | moore_output_table[self.transitions[x][a][0]] = self.transitions[x][a][1] 117 | 118 | moore_states = [] 119 | for s in moore_transitions.keys(): 120 | if s not in moore_states: 121 | moore_states.append(s) 122 | 123 | from automata.fa.Moore import Moore 124 | 125 | moore_from_mealy = Moore( 126 | moore_states, 127 | self.input_alphabet, 128 | self.output_alphabet, 129 | moore_transitions, 130 | moore_output_table, 131 | moore_initial_state 132 | ) 133 | 134 | print(moore_from_mealy) 135 | 136 | 137 | def __str__(self): 138 | output = "\nMealy Machine" + \ 139 | "\nStates " + str(self.states) + \ 140 | "\nTransitions " + str(self.transitions) + \ 141 | "\nInital State " + str(self.initial_state) + \ 142 | "\nInital Alphabet " + str(self.input_alphabet) + \ 143 | "\nOutput Alphabet" + str(self.output_alphabet) 144 | 145 | return output 146 | 147 | 148 | 149 | 150 | """ 151 | mealy = Mealy( 152 | ['a', 'b', 'c', 'd'], 153 | ['0', '1'], 154 | ['0', '1'], 155 | { 156 | 'a' : { 157 | '0' : ('d', '1'), 158 | '1' : ('b', '0') 159 | }, 160 | 161 | 'b' : { 162 | '0' : ('a', '1'), 163 | '1' : ('d', '1') 164 | }, 165 | 166 | 'c' :{ 167 | '0' : ('c', '0'), 168 | '1' : ('c', '0') 169 | }, 170 | 'd':{ 171 | '0' : ('b', '0'), 172 | '1' : ('a', '1') 173 | } 174 | }, 175 | 'a' 176 | ) 177 | 178 | 179 | mealy_2 = Mealy(['q0'], 180 | ['0', '1'], 181 | ['0', '1'], 182 | { 183 | 'q0' : { 184 | '1' : ('q0', '0'), 185 | '0' : ('q0', '1') 186 | } 187 | }, 188 | 'q0' 189 | ) 190 | 191 | mealy_3 = Mealy(['q0', 'q1', 'q2', 'q3'], 192 | ['0', '1'], 193 | ['0', '1'], 194 | { 195 | 'q0' : { 196 | '0' : ('q3', '0'), 197 | '1' : ('q1', '1') 198 | }, 199 | 'q1': { 200 | '0': ('q0', '1'), 201 | '1': ('q3', '0') 202 | }, 203 | 'q2': { 204 | '0': ('q2', '1'), 205 | '1': ('q2', '0') 206 | }, 207 | 'q3': { 208 | '0': ('q1', '0'), 209 | '1': ('q0', '1') 210 | } 211 | 212 | }, 213 | 'q0' 214 | 215 | ) 216 | #print(mealy_2) 217 | #print(mealy_2.get_output_from_string('0111')) 218 | print(mealy_3.convert_to_moore()) 219 | """ -------------------------------------------------------------------------------- /automata/fa/Moore.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | 4 | class Moore(object): 5 | """Moore Machine : Finite Automata with Output""" 6 | 7 | def __init__(self, states, input_alphabet, output_alphabet, transitions, initial_state, output_table ): 8 | """ 9 | states: Finite set of states 10 | input_alphabet: Alphabet of letters for forming input string 11 | output_alphabet: Alphabet of letters for forming output characters 12 | transitions: Transition Table 13 | output_table: Output Table to show what character from output_alphabet is printed when a state from 'states' 14 | is reached 15 | """ 16 | 17 | self.states = states 18 | self.input_alphabet = input_alphabet 19 | self.output_alphabet = output_alphabet 20 | self.transitions = transitions 21 | self.output_table = output_table 22 | self.initial_state = initial_state 23 | 24 | def get_output_from_string(self, string): 25 | """Return Moore Machine's output when a given string is given as input""" 26 | temp_list = list(string) 27 | output = '' 28 | current_state = self.initial_state 29 | output += self.output_table[current_state] 30 | for x in temp_list: 31 | current_state = self.transitions[current_state][x] 32 | output += self.output_table[current_state] 33 | 34 | return output 35 | 36 | def convert_to_mealy(self): 37 | mealy_transitions = {} 38 | 39 | for x in self.transitions.keys(): 40 | 41 | try: 42 | mealy_transitions[x] = {} 43 | 44 | for a in self.input_alphabet: 45 | mealy_transitions[x][a] = (self.transitions[x][a], self.output_table[self.transitions[x][a]]) 46 | 47 | except KeyError as e: 48 | pass 49 | 50 | mealy_input_alphabet = self.input_alphabet 51 | mealy_output_alphabet = self.output_alphabet 52 | mealy_initial_state = self.initial_state 53 | mealy_states = self.states 54 | 55 | #print(mealy_transitions) 56 | 57 | from automata.fa.Mealy import Mealy 58 | 59 | mealy_from_moore = Mealy( 60 | mealy_states, 61 | mealy_input_alphabet, 62 | mealy_output_alphabet, 63 | mealy_transitions, 64 | mealy_initial_state 65 | ) 66 | 67 | print(mealy_from_moore) 68 | 69 | def __str__(self): 70 | """"Pretty Print the Moore Machine""" 71 | 72 | output = "\nMoore Machine" + \ 73 | "\nStates " + str(self.states) + \ 74 | "\nInput Alphabet " + str(self.input_alphabet) + \ 75 | "\nOutput Alphabet " + str(self.output_alphabet) + \ 76 | "\nTransitions " + str(self.transitions) + \ 77 | "\nInitial State" + str(self.initial_state) + \ 78 | "\nOutput Table " + str(self.output_table) 79 | 80 | return output 81 | 82 | """ 83 | moore = Moore(['q0', 'q1', 'q2', 'q3'], 84 | ['a' , 'b'], 85 | ['0', '1'], 86 | { 87 | 'q0' : { 88 | 'a' : 'q1', 89 | 'b' : 'q3' 90 | 91 | }, 92 | 'q1': { 93 | 'a': 'q3', 94 | 'b': 'q1' 95 | 96 | }, 97 | 'q2': { 98 | 'a': 'q0', 99 | 'b': 'q3' 100 | 101 | }, 102 | 'q3': { 103 | 'a': 'q3', 104 | 'b': 'q2' 105 | 106 | } 107 | 108 | 109 | }, 110 | 111 | 'q0', 112 | { 113 | 'q0' : '1', 114 | 'q1' : '0', 115 | 'q2' : '0', 116 | 'q3' : '1' 117 | } 118 | 119 | 120 | ) 121 | print(moore) 122 | print(moore.get_output_from_string('abbba')) 123 | print(moore.convert_to_mealy()) 124 | 125 | """ -------------------------------------------------------------------------------- /automata/fa/NDFA.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | from automata.data_structures.Stack import Stack 3 | from automata.fa.DFA import DFA 4 | 5 | 6 | class NDFA(object): 7 | """Non Deterministic Finite Automata""" 8 | 9 | def __init__(self, states, alphabet, transitions, initial_state, final_states): 10 | """ 11 | Q is a finite set of states. 12 | 13 | sigma is a finite set of symbols called the alphabet. 14 | 15 | delta is the list of transitions based on transition relation. 16 | 17 | q0 is the initial state from where any input is processed (q0 ∈ Q). 18 | 19 | F is a set of final state/states of Q (F ⊆ Q). 20 | """ 21 | 22 | self.states = states #list 23 | self.alphabet = alphabet #list 24 | self.transitions = transitions #dict 25 | self.initial_state = initial_state #char 26 | self.final_states = final_states #list 27 | 28 | """ 29 | states=['q0', 'q1'], 30 | alphabets=['a', 'b'], 31 | transitions={ 32 | 'q0': {'a': ['q0', 'q1'], 'b': ['q1']}, 33 | 'q1': {'a': ['q0'], 'b': ['q1', 'q0']}, 34 | }, 35 | initial_state='q0', 36 | final_states=['q1'] 37 | """ 38 | 39 | def is_string_valid(self, string): 40 | """Return True if string is accepted by NDFA, otherwise return False""" 41 | 42 | inputs = list(string) 43 | current_state = self.initial_state 44 | 45 | for letter in inputs: 46 | 47 | try: 48 | 49 | if isinstance(current_state, list): 50 | temp_cur_state = [] 51 | for state in current_state: 52 | if letter in self.transitions[state]: 53 | temp_cur_state.push(self.transitions[state][letter]) 54 | current_state = temp_cur_state 55 | 56 | elif isinstance(current_state, str): 57 | if letter in self.transitions[current_state]: 58 | current_state = self.transitions[current_state][letter] 59 | 60 | else: 61 | return False 62 | 63 | except KeyError as e: 64 | return False 65 | 66 | if isinstance(current_state, str): 67 | if current_state in self.final_states: 68 | return True 69 | 70 | elif isinstance(current_state, list): 71 | if not set(current_state).isdisjoint(self.final_states): 72 | return True 73 | 74 | return False 75 | 76 | def convert_to_dfa(self): 77 | """"Returns equivalent DFA of the given NDFA""" 78 | 79 | temp_init_state_list = [self.initial_state] 80 | 81 | foo_dict = {str(temp_init_state_list): self.transitions[self.initial_state]} 82 | 83 | s = Stack() 84 | q = Stack() 85 | 86 | for x in self.alphabet: 87 | s.push(foo_dict[str(temp_init_state_list)][x]) 88 | 89 | while not s.isEmpty(): 90 | 91 | current_states = s.pop() 92 | q.push(current_states) 93 | 94 | if current_states != foo_dict.keys(): 95 | foo_dict[str(current_states)] = {} 96 | 97 | for a in self.alphabet: 98 | 99 | temp_list = [] 100 | 101 | for c in current_states: 102 | 103 | try: 104 | for t in self.transitions[c][a]: 105 | if t not in temp_list: 106 | temp_list.append(t) 107 | 108 | except KeyError as e: 109 | pass 110 | 111 | foo_dict[str(current_states)][a] = (temp_list) 112 | 113 | if temp_list not in q and temp_list not in s and temp_list is not []: 114 | s.push(temp_list) 115 | 116 | dfa_initial_state = 'Q0' 117 | 118 | i = 0 119 | map_states ={} 120 | for a in foo_dict.keys(): 121 | map_states[a] = 'Q' + str(i) 122 | i+=1 123 | 124 | dfa_transitions = {} 125 | dfa_finial_states = [] 126 | dfa_states = [] 127 | 128 | for a in foo_dict.keys(): 129 | dfa_transitions[map_states[a]] = {} 130 | for b in self.alphabet: 131 | 132 | if set(foo_dict[a][b]).isdisjoint(self.final_states): 133 | if (a) not in dfa_finial_states: 134 | dfa_finial_states.append(map_states[a]) 135 | 136 | dfa_transitions[map_states[a]][b] = map_states[str(foo_dict[a][b])] 137 | 138 | if map_states[a] not in dfa_states: 139 | dfa_states.append(map_states[a]) 140 | 141 | if (map_states[str(foo_dict[a][b])]) not in dfa_states: 142 | dfa_states.append(map_states[str(foo_dict[a][b])]) 143 | 144 | # Here we go 145 | d = DFA(dfa_states, self.alphabet, dfa_transitions, dfa_initial_state, dfa_finial_states) 146 | print(d) 147 | return d 148 | 149 | def __str__(self): 150 | """"Pretty Print the NDFA""" 151 | 152 | output = "\nNon-Deterministic Finite Automata" + \ 153 | "\nStates " + str(self.states) + \ 154 | "\nAlphabet " + str(self.alphabet) + \ 155 | "\nTransitions " + str(self.transitions) + \ 156 | "\nInital State " + str(self.initial_state) + \ 157 | "\nFinal States " + str(self.final_states) 158 | 159 | return output 160 | 161 | 162 | 163 | d = NDFA( 164 | ['q0', 'q1'], 165 | ['a', 'b'], 166 | { 167 | 'q0': {'a': ['q0', 'q1'], 'b': ['q1']}, 168 | 'q1': {'a': ['q0'], 'b': ['q1']} 169 | }, 170 | 'q0', 171 | ['q1'] 172 | ) 173 | 174 | 175 | 176 | """ 177 | print (d.convert_to_dfa()) 178 | print(d.is_string_valid('a')) 179 | print(d) 180 | """ -------------------------------------------------------------------------------- /automata/fa/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/fa/__init__.py -------------------------------------------------------------------------------- /automata/fa/__pycache__/DFA.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/automata/fa/__pycache__/DFA.cpython-35.pyc -------------------------------------------------------------------------------- /automata/fa/__pycache__/Mealy.cpython-35.pyc: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | class Language(object): 2 | """Basic operations that can be performed on a language""" 3 | 4 | def __init__(self, language, alphabets, rules): 5 | """Constructor to create language and its alphabet set""" 6 | if(type(language) == "list"): 7 | self.language = language 8 | 9 | if(type(alphabets) == "list"): 10 | self.alphabets = alphabets 11 | else: 12 | self.alphabets = [] 13 | 14 | if(type(rules) == "list"): 15 | self.rules = rules 16 | else: 17 | self.rules = [] 18 | 19 | def define(self, strings): 20 | """Add words to the language""" 21 | 22 | def define_alphabets(self, element): 23 | """"Add elements to the set of alphabets of the language""" 24 | 25 | if(type(element) == "list"): 26 | self.alphabet = element 27 | 28 | else: 29 | self.alphabet.push(element) 30 | 31 | def define_rules(self, rule ): 32 | """Add rule string to python list of rules""" 33 | self.rule.push(rule) 34 | 35 | def show(self): 36 | """Getter for language""" 37 | output = "----------------\n" 38 | output += "Language is " + self.language + "\n\n" 39 | output += "Alphabet for it is " + self.alphabets + "\n\n" 40 | output += "Rules for this language are " + self.rules + "\n" 41 | output += "\n----------------" 42 | return output 43 | 44 | def show_alphabet(self): 45 | """Getter for alphabets""" 46 | return self.alphabets 47 | -------------------------------------------------------------------------------- /automata/testing.py: -------------------------------------------------------------------------------- 1 | l = [1,2,3] 2 | p = [1,2,3] 3 | 4 | if l==p: 5 | print ("H") -------------------------------------------------------------------------------- /automata_python.egg-info/PKG-INFO: -------------------------------------------------------------------------------- 1 | Metadata-Version: 1.0 2 | Name: automata-python 3 | Version: 0.0.3 4 | Summary: Python Automata Library 5 | Home-page: https://github.com/hemangsk/automata-python 6 | Author: Hemang Kumar 7 | Author-email: hemangsk@gmail.com 8 | License: GPLv3 9 | Description: UNKNOWN 10 | Keywords: language finite automata turing machine push down automata linear bound automata 11 | Platform: UNKNOWN 12 | -------------------------------------------------------------------------------- /automata_python.egg-info/SOURCES.txt: -------------------------------------------------------------------------------- 1 | setup.cfg 2 | setup.py 3 | automata/language.py 4 | automata_python.egg-info/PKG-INFO 5 | automata_python.egg-info/SOURCES.txt 6 | automata_python.egg-info/dependency_links.txt 7 | automata_python.egg-info/top_level.txt -------------------------------------------------------------------------------- /automata_python.egg-info/dependency_links.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /automata_python.egg-info/top_level.txt: -------------------------------------------------------------------------------- 1 | automata 2 | -------------------------------------------------------------------------------- /dist/automata_python-0.0.1.tar.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/dist/automata_python-0.0.1.tar.gz -------------------------------------------------------------------------------- /dist/automata_python-0.0.3.tar.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/dist/automata_python-0.0.3.tar.gz -------------------------------------------------------------------------------- /images/automata-header.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/images/automata-header.png -------------------------------------------------------------------------------- /images/automatasub.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hemangsk/automata-python/4c430b8afa44dce72a3bac4a4b1026d55e3e7f9c/images/automatasub.png -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [metadata] 2 | description-file = README.md 3 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | """Setup logic for pip.""" 3 | 4 | from setuptools import setup 5 | 6 | setup( 7 | name='automata_python', 8 | version='0.0.3', 9 | description='Python Automata Library', 10 | url='https://github.com/hemangsk/automata-python', 11 | author='Hemang Kumar', 12 | author_email='hemangsk@gmail.com', 13 | license='GPLv3', 14 | keywords='language finite automata turing machine push down automata linear bound automata', 15 | packages=[ 16 | 'automata' 17 | ], 18 | install_requires=[], 19 | entry_points={} 20 | ) 21 | --------------------------------------------------------------------------------