معرفی شرکت ها


flloat-0.3.0


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A Python implementation of the FLLOAT library.
ویژگی مقدار
سیستم عامل -
نام فایل flloat-0.3.0
نام flloat
نسخه کتابخانه 0.3.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Marco Favorito
ایمیل نویسنده marco.favorito@gmail.com
آدرس صفحه اصلی https://github.com/whitemech/flloat.git
آدرس اینترنتی https://pypi.org/project/flloat/
مجوز Apache license
# FLLOAT [![](https://img.shields.io/pypi/v/flloat.svg)](https://pypi.python.org/pypi/flloat) [![](https://img.shields.io/pypi/pyversions/flloat.svg)](https://pypi.python.org/pypi/flloat) [![FLLOAT Continuous Integration pipeline.]( https://github.com/whitemech/flloat/workflows/FLLOAT%20Continuous%20Integration%20pipeline./badge.svg)]( https://github.com/whitemech/flloat/actions?query=workflow%3A%22FLLOAT+Continuous+Integration+pipeline.%22) [![codecov](https://codecov.io/gh/whitemech/flloat/branch/master/graph/badge.svg)](https://codecov.io/gh/whitemech/flloat) [![](https://img.shields.io/badge/docs-mkdocs-9cf)](https://www.mkdocs.org/) [![](https://img.shields.io/badge/flake8-checked-blueviolet)](https://img.shields.io/badge/flake8-checked-blueviolet) [![](https://img.shields.io/badge/mypy-checked-blue)](https://img.shields.io/badge/mypy-checked-blue) [![](https://img.shields.io/badge/license-LGPLv3%2B-blue)](https://img.shields.io/badge/license-LGPLv3%2B-blue) [![](https://zenodo.org/badge/DOI/10.5281/zenodo.2577006.svg)](https://doi.org/10.5281/zenodo.2577006) A Python implementation of the [FLLOAT](https://github.com/RiccardoDeMasellis/FLLOAT.git) library. ## Links - GitHub: [https://github.com/whitemech/flloat](https://github.com/whitemech/flloat) - PyPI: [https://pypi.org/project/flloat/](https://pypi.org/project/flloat/) - Documentation: [https://whitemech.github.io/flloat](https://whitemech.github.io/flloat) - Changelog: [https://whitemech.github.io/flloat/release-history/](https://whitemech.github.io/flloat/release-history/) - Issue Tracker:[https://github.com/whitemech/flloat/issues](https://github.com/whitemech/flloat/issues) - Download: [https://pypi.org/project/flloat/#files](https://pypi.org/project/flloat/#files) ## Install - from [PyPI](https://pypi.org/project/flloat/): ``` pip install flloat ``` - or, from source (`master` branch): ``` pip install git+https://github.com/whitemech/flloat.git ``` - or, clone the repository and install: ``` git clone htts://github.com/whitemech/flloat.git cd flloat pip install . ``` ## How to use * Parse a LDLf formula: ```python from flloat.parser.ldlf import LDLfParser parser = LDLfParser() formula_string = "<true*; A & B>tt" formula = parser(formula_string) # returns a LDLfFormula print(formula) # prints "<((true)* ; (A & B))>(tt)" print(formula.find_labels()) # prints {A, B} ``` * Evaluate it over finite traces: ```python t1 = [ {"A": False, "B": False}, {"A": True, "B": False}, {"A": True, "B": False}, {"A": True, "B": True}, {"A": False, "B": False}, ] formula.truth(t1, 0) # True ``` * Transform it into an automaton (``pythomata.SymbolicAutomaton`` object): ```python dfa = formula.to_automaton() assert dfa.accepts(t1) # print the automaton graph = dfa.to_graphviz() graph.render("./my-automaton") # requires Graphviz installed on your system. ``` Notice: `to_dot` requires [Graphviz](https://graphviz.gitlab.io/download/). For info about how to use a `pythomata.DFA` please look at the [Pythomata docs](https://github.com/whitemech/pythomata). * The same for a LTLf formula: ```python from flloat.parser.ltlf import LTLfParser # parse the formula parser = LTLfParser() formula = "F (A & !B)" parsed_formula = parser(formula) # evaluate over finite traces t1 = [ {"A": False, "B": False}, {"A": True, "B": False}, {"A": True, "B": False}, {"A": True, "B": True}, {"A": False, "B": False}, ] assert parsed_formula.truth(t1, 0) t2 = [ {"A": False, "B": False}, {"A": True, "B": True}, {"A": False, "B": True}, ] assert not parsed_formula.truth(t2, 0) # from LTLf formula to DFA dfa = parsed_formula.to_automaton() assert dfa.accepts(t1) assert not dfa.accepts(t2) ``` ## Features * Syntax, semantics and parsing support for the following formal languages: * Propositional Logic; * Linear Temporal Logic on Finite Traces * Linear Dynamic Logic on Finite Traces; * Conversion from LTLf/LDLf formula to DFA ## Tests To run the tests: tox To run only the code tests: tox -e py37 To run only the code style checks: tox -e flake8 ## Docs To build the docs: mkdocs build To view documentation in a browser mkdocs serve and then go to [http://localhost:8000](http://localhost:8000) ## License FLLOAT is released under the GNU Lesser General Public License v3.0 or later (LGPLv3+). Copyright 2018-2020 WhiteMech # History ## 0.3.0 (2020-03-24) * Refinement of all the grammars. Extensive improvement of the parsing. * Integration with Pythomata `>=0.3.0` * Simplified interfaces and refactoring of the class hierarchy for the logic modules. * Introduced FiniteTraceWrapper. It allows evaluating any propositional over a finite trace. * Several bug fixes and improved testing. * Improvement of docs and metadata consistency. ## 0.2.3 (2019-10-10) * Reverting some changes made on release `0.2.2`. * Updated live version: [http://flloat.herokuapp.com/](http://flloat.herokuapp.com/) ## 0.2.2 (2019-10-09) * Fix several issues in the computation of the delta function for LDLf. ## 0.2.1 (2019-10-09) * Replace parsing library PLY with [Lark](https://github.com/lark-parser/lark). ## 0.2.0 (2019-10-06) * Main refactoring of the package. No new features. ## 0.1.3 (2018-04-20) * Support for LTLf formulas and conversion into NFA, DFA and DFA on-the-fly ## 0.1.1 (2018-04-15) * Syntax, semantics and parsing support for the following formal languages: * Propositional Logic; * Linear Dynamic Logic on Finite Traces; * Conversion from LDLf formula to NFA, DFA and DFA on-the-fly ## 0.1.0 (2018-04-11) * First release on PyPI.


نیازمندی

مقدار نام
- lark-parser
>=0.3.2 pythomata
- sympy


نحوه نصب


نصب پکیج whl flloat-0.3.0:

    pip install flloat-0.3.0.whl


نصب پکیج tar.gz flloat-0.3.0:

    pip install flloat-0.3.0.tar.gz