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Pytomatas v.1.0.0
Simulates Automatons Acceptors DFA, NFA, PDA and Turing Machines
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‎LICENSE

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MIT License
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Copyright (c) 2023 Alejandro Ramos @arhcoder
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Pytomata Project
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Pytomatas Project
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

‎README.md

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# 🤖 Pytomata
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# 🤖 Pytomatas
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**📌 Version 1.6.0**
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**📌 Version 1.0.0**
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<hr>
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Pytomata allows to simulate Acceptor Automata in the console with Python, implementing its characteristics using different definitions (mathematics included), with the following types:
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Pytomatas allows to simulate Acceptor Automata in the console with Python, implementing its characteristics using different definitions (mathematics included), with the following types:
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* **[DFA](https://github.com/arhcoder/Pytomata/blob/master/docs/dfa.md "DFA") (Deterministic Finite Automaton)**;
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* **[NFA](https://github.com/arhcoder/Pytomata/blob/master/docs/nfa.md "NFA") (Non-deterministic Finite Automaton)**;
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* **[PDA](https://github.com/arhcoder/Pytomata/blob/master/docs/pda.md "PDA") (Push-Down Automaton)**;
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* **[TM](https://github.com/arhcoder/Pytomata/blob/master/docs/tm.md "TM") (Turing Machine)**;
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* **[DFA](https://github.com/arhcoder/Pytomatas/blob/master/docs/dfa.md "DFA") (Deterministic Finite Automaton)**;
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* **[NFA](https://github.com/arhcoder/Pytomatas/blob/master/docs/nfa.md "NFA") (Non-deterministic Finite Automaton)**;
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* **[PDA](https://github.com/arhcoder/Pytomatas/blob/master/docs/pda.md "PDA") (Push-Down Automaton)**;
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* **[TM](https://github.com/arhcoder/Pytomatas/blob/master/docs/tm.md "TM") (Turing Machine)**;
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What can do?
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- **🧿 [Second implementation](#-second-implementation)**;
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- **📓 [Documentation](#-documentation)**;
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- **📚 [Examples](#-examples)**;
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- **🤖 [DFA](https://github.com/arhcoder/Pytomata/blob/master/docs/dfa.md "DFA")**;
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- **🤖 [NFA](https://github.com/arhcoder/Pytomata/blob/master/docs/nfa.md "NFA")**;
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- **🤖 [PDA](https://github.com/arhcoder/Pytomata/blob/master/docs/pda.md "PDA")**;
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- **🤖 [TM](https://github.com/arhcoder/Pytomata/blob/master/docs/tm.md "TM")**;
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- **🔐 [Safebox](https://github.com/arhcoder/Pytomata/blob/master/docs/xsafebox.md)**;
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- **🤖 [DFA](https://github.com/arhcoder/Pytomatas/blob/master/docs/dfa.md "DFA")**;
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- **🤖 [NFA](https://github.com/arhcoder/Pytomatas/blob/master/docs/nfa.md "NFA")**;
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- **🤖 [PDA](https://github.com/arhcoder/Pytomatas/blob/master/docs/pda.md "PDA")**;
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- **🤖 [TM](https://github.com/arhcoder/Pytomatas/blob/master/docs/tm.md "TM")**;
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- **🔐 [Safebox](https://github.com/arhcoder/Pytomatas/blob/master/docs/xsafebox.md)**;
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- **📁 [Repository](#-repository)**;
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- **✍ [Contributing](#-contributing)**;
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- **📜 [License](#-license)**;
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## 🛠 Installation
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You can install Pytomata using pip:
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You can install Pytomatas using pip:
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```bash
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pip install pytomata
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pip install pytomatas
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```
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<br>
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**1. Creating empty automata and then give the data:**
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```python
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from pytomata import DFA
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from pytomatas import DFA
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# Creates a DFA called "my_dfa":
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my_dfa = DFA()
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**2. Creating the automata passing the data:**
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```python
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from pytomata import DFA
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from pytomatas import DFA
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# Declare the States:
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Q = {"q0", "qa", "q1", "qb", "q2", "qf", "qx"}
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## 📓 Documentation
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Go to **[THIS LINK](http://github.com/arhcoder/Pytomata/blob/master/docs/automatas.md "THIS LINK")** to see the documentation on all the features of the different types of automata, the functions they have, and examples of their implementation.
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Go to **[THIS LINK](http://github.com/arhcoder/Pytomatas/blob/master/docs/automatas.md "THIS LINK")** to see the documentation on all the features of the different types of automata, the functions they have, and examples of their implementation.
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<br>
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## 📚 Examples
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1. **[DFA (Deterministic Finite Automaton)](https://github.com/arhcoder/Pytomata/blob/master/docs/dfa.md "DFA").**
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1. **[DFA (Deterministic Finite Automaton)](https://github.com/arhcoder/Pytomatas/blob/master/docs/dfa.md "DFA").**
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2. **[NFA (Non-deterministic Finite Automaton)](https://github.com/arhcoder/Pytomata/blob/master/docs/nfa.md "NFA").**
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2. **[NFA (Non-deterministic Finite Automaton)](https://github.com/arhcoder/Pytomatas/blob/master/docs/nfa.md "NFA").**
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3. **[PDA (Push-Down Automaton)](https://github.com/arhcoder/Pytomata/blob/master/docs/pda.md "PDA").**
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3. **[PDA (Push-Down Automaton)](https://github.com/arhcoder/Pytomatas/blob/master/docs/pda.md "PDA").**
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4. **[TM (Turing Machine)](https://github.com/arhcoder/Pytomata/blob/master/docs/tm.md "TM").**
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4. **[TM (Turing Machine)](https://github.com/arhcoder/Pytomatas/blob/master/docs/tm.md "TM").**
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5. **[Safebox Automata Implementation Project](https://github.com/arhcoder/Pytomata/blob/master/docs/xsafebox.md).**
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5. **[Safebox Automata Implementation Project](https://github.com/arhcoder/Pytomatas/blob/master/docs/xsafebox.md).**
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<br>
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## 📁 Repository
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Go to **[THIS LINK](https://github.com/arhcoder/Pytomata)** to check out the source code.
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Go to **[THIS LINK](https://github.com/arhcoder/Pytomatas)** to check out the source code.
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<br>
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## ✍ Contributing
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Contributions are welcome! If you encounter any issues, have suggestions, or would like to contribute to the project, please feel free to open an issue or submit a pull request on **[this repository](https://github.com/arhcoder/Pytomata)**.
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Contributions are welcome! If you encounter any issues, have suggestions, or would like to contribute to the project, please feel free to open an issue or submit a pull request on **[this repository](https://github.com/arhcoder/Pytomatas)**.
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<br>
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## 📜 License
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This project is licensed under the MIT License - see the **[LICENSE](https://github.com/arhcoder/Pytomata/blob/master/LICENSE)** file for details.
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This project is licensed under the MIT License - see the **[LICENSE](https://github.com/arhcoder/Pytomatas/blob/master/LICENSE)** file for details.
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<hr>
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‎docs/automatas.md

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# 🤖 Pytomata
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# 🤖 Pytomatas
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**📓 Documentation**
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<hr>
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Pytomata allows to simulate Acceptor Automata in the console with Python, implementing its characteristics using different definitions (mathematics included), with the following types:
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Pytomatas allows to simulate Acceptor Automata in the console with Python, implementing its characteristics using different definitions (mathematics included), with the following types:
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* **[DFA](https://github.com/arhcoder/Pytomata/blob/master/docs/dfa.md "DFA") (Deterministic Finite Automaton)**;
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* **[NFA](https://github.com/arhcoder/Pytomata/blob/master/docs/nfa.md "NFA") (Non-deterministic Finite Automaton)**;
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* **[PDA](https://github.com/arhcoder/Pytomata/blob/master/docs/pda.md "PDA") (Push-Down Automaton)**;
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* **[TM](https://github.com/arhcoder/Pytomata/blob/master/docs/tm.md "TM") (Turing Machine)**;
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* **[DFA](https://github.com/arhcoder/Pytomatas/blob/master/docs/dfa.md "DFA") (Deterministic Finite Automaton)**;
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* **[NFA](https://github.com/arhcoder/Pytomatas/blob/master/docs/nfa.md "NFA") (Non-deterministic Finite Automaton)**;
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* **[PDA](https://github.com/arhcoder/Pytomatas/blob/master/docs/pda.md "PDA") (Push-Down Automaton)**;
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* **[TM](https://github.com/arhcoder/Pytomatas/blob/master/docs/tm.md "TM") (Turing Machine)**;
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What can do?
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- **🛠 [README for USER](https://github.com/arhcoder/arhcoder#readme)**;
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- **📄 [DOCUMENTATION FOR DEV](#)**;
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- **[DFA Class & Examples](http://github.com/arhcoder/Pytomata/blob/master/docs/dfa.md "DFA Class & Examples")**;
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- **[NFA Class & Examples](http://github.com/arhcoder/Pytomata/blob/master/docs/nfa.md "NFA Class & Examples")**;
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- **[PDA Class & Examples](http://github.com/arhcoder/Pytomata/blob/master/docs/pda.md "PDA Class & Examples")**;
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- **[TM Class & Examples](http://github.com/arhcoder/Pytomata/blob/master/docs/pda.md "PDA Class & Examples")**;
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- **[Safebox Example Project](http://github.com/arhcoder/Pytomata/blob/master/docs/xsafebox.md "Safebox Example Project")**;
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- **[DFA Class & Examples](http://github.com/arhcoder/Pytomatas/blob/master/docs/dfa.md "DFA Class & Examples")**;
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- **[NFA Class & Examples](http://github.com/arhcoder/Pytomatas/blob/master/docs/nfa.md "NFA Class & Examples")**;
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- **[PDA Class & Examples](http://github.com/arhcoder/Pytomatas/blob/master/docs/pda.md "PDA Class & Examples")**;
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- **[TM Class & Examples](http://github.com/arhcoder/Pytomatas/blob/master/docs/pda.md "PDA Class & Examples")**;
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- **[Safebox Example Project](http://github.com/arhcoder/Pytomatas/blob/master/docs/xsafebox.md "Safebox Example Project")**;
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<hr>
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‎docs/dfa.md

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📌 **First example:**
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# First example of DFA Automata instance:
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# Language of the Automata:
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# Language of the Automata:

‎docs/nfa.md

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‎docs/pda.md

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‎docs/tm.md

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‎docs/xsafebox.md

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## 🔐 Safebox Automata
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### Project implementation for Pytomata
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### Project implementation for Pytomatas
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This is a sample project that uses automata from the Pytomata library (this library), to do two things:
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This is a sample project that uses automata from the Pytomatas library (this library), to do two things:
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1. Using an **algorithm, it automatically creates an automaton (DFA)** using the features of this library. Based on creating a safebox password, **the algorithm designs the automaton that would simulate said safe,** and through the library it **implements it** autonomously **and simulates it.** The generated automata understands the letters ***"L"*** and ***"R"*** as language, which are used to represent the password, which must be included in the **string accepted by the automaton, to open the safe.** The algorithm recieves a safebox password (like "LLRRRRLLLLRRRR") and creates the automata for the language that includes the password as substring.
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‎examples/dfa-example-1.py

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# First example of DFA Automata instance:
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# Language of the Automata:

‎examples/dfa-example-2.py

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# Second example of DFA Automata instance:
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‎examples/nfa-example-1.py

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# Second example of NFA Automata instance:
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‎examples/nfa-example-2.py

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# Second example of NFA Automata instance:
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‎examples/pda-example-1.py

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# First example of PDA Automata instance:
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‎examples/pda-example-2.py

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‎examples/tm-example-1.py

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# First example of TM Automata instance:
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‎project/safebox-generator.py

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‎project/safebox-validator.py

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def validatePassword(password: str):

‎setup.py

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long_description = readme.read()
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setup(
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version="1.6.0",
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name="Pytomatas",
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version="1.0.0",
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author="arhcoder",
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author_email="arhcoder@gmail.com",
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description="Simulates Automatons Acceptors DFA, NFA, PDA and Turing Machines",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/arhcoder/Pytomata",
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url="https://github.com/arhcoder/Pytomatas",
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license="MIT License",
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packages=find_packages(),
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project_urls={
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"Bug Tracker": "https://github.com/arhcoder/Pytomata/issues",
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"Contribution": "https://github.com/arhcoder/Pytomata/pulls"
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"Bug Tracker": "https://github.com/arhcoder/Pytomatas/issues",
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"Contribution": "https://github.com/arhcoder/Pytomatas/pulls"
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classifiers=[
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