Source code for boolean_cayley_graphs.boolean_function_general_linear_class

r"""
A boolean function class that represents a General Linear Equivalence Class
============================================================================

The ``boolean_function_general_linear_class`` module defines
the ``BooleanFunctionGeneralLinearClass`` class,
which is a subclass of BooleanFunctionImproved that represents
a general linear equivalence class of boolean functions.


AUTHORS:

- Paul Leopardi (2023-02-05): initial version

EXAMPLES:

::

    sage: from boolean_cayley_graphs.boolean_function_general_linear_class import (
    ....:     BooleanFunctionGeneralLinearClass)
    sage: bf = BooleanFunctionGeneralLinearClass([0,0,0,1])
    sage: type(bf)
    <class 'boolean_cayley_graphs.boolean_function_general_linear_class.BooleanFunctionGeneralLinearClass'>
    sage: bf.truth_table(format='int')
    (0, 0, 0, 1)
"""

#*****************************************************************************
#       Copyright (C) 2016-2017 Paul Leopardi paul.leopardi@gmail.com
#
#  Distributed under the terms of the GNU General Public License (GPL)
#  as published by the Free Software Foundation; either version 2 of
#  the License, or (at your option) any later version.
#                  http://www.gnu.org/licenses/
#*****************************************************************************

import binascii
import csv

from datetime import datetime
from sage.crypto.boolean_function import BooleanFunction
from sage.matrix.constructor import Matrix
from sage.rings.finite_rings.finite_field_constructor import FiniteField as GF
from sage.rings.integer import Integer
from sage.rings.integer_ring import ZZ
from sys import stdout

from boolean_cayley_graphs.boolean_function_improved import BooleanFunctionImproved
from boolean_cayley_graphs.saveable import Saveable

import boolean_cayley_graphs.cayley_graph_controls as controls

encoding = "UTF-8"


[docs]class BooleanFunctionGeneralLinearClass(BooleanFunctionImproved, Saveable): r""" A subclass of BooleanFunctionImproved that represents a general linear equivalence class of boolean functions. The class inherits from BooleanFunctionImproved and is initialized in the same way. The class inherits from Saveable to obtain load_mangled and save_mangled methods. EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf1 = BooleanFunctionGeneralLinearClass([0,1,0,0]) sage: type(bf1) <class 'boolean_cayley_graphs.boolean_function_general_linear_class.BooleanFunctionGeneralLinearClass'> sage: bf1.algebraic_normal_form() x0*x1 + x0 sage: bf1.truth_table() (False, True, False, False) TESTS: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf = BooleanFunctionGeneralLinearClass([0,1,0,0]) sage: print(bf) Boolean function with 2 variables sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf = BooleanFunctionGeneralLinearClass([0,1,0,0]) sage: latex(bf) \text{\texttt{Boolean{ }function{ }with{ }2{ }variables}} """
[docs] @classmethod def from_tt_buffer( cls, dim, tt_buffer): r""" Constructor from the buffer tt_buffer. The buffer tt_buffer is assumed to be the result of method tt_buffer(), which returns a result of type buffer representing a truth table in hex. INPUT: - ``cls`` -- the class object. - ``dim`` -- integer: the dimension of the Boolean function. - ``tt_buffer`` -- buffer: the result of the method tt_buffer() for the Boolean function. EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf2 = BooleanFunctionGeneralLinearClass([0,1,0,0]) sage: bf2_tt_buffer = bf2.tt_buffer() sage: bf2_test = BooleanFunctionGeneralLinearClass.from_tt_buffer(2, bf2_tt_buffer) sage: bf2_test.algebraic_normal_form() x0*x1 + x0 sage: bf2 == bf2_test True sage: bf3 = BooleanFunctionGeneralLinearClass([0,1,0,0]*2) sage: bf3.nvariables() 3 sage: bf3_tt_buffer = bf3.tt_buffer() sage: bf3_test = BooleanFunctionGeneralLinearClass.from_tt_buffer(3, bf3_tt_buffer) sage: bf3 == bf3_test True """ return cls(BooleanFunctionImproved.from_tt_buffer(dim, tt_buffer))
[docs] @classmethod def from_tt_hex( cls, dim, tt_hex): r""" Constructor from the dimension dim, and the string tt_hex. The string tt_hex is assumed to be the result of method tt_hex(), which returns a string representing a truth table in hex. INPUT: - ``cls`` -- the class object. - ``dim`` -- integer: the dimension of the Boolean function. - ``tt_hex`` -- string: the result of the method tt_hex() for the Boolean function. EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf2 = BooleanFunctionGeneralLinearClass([0,1,0,0]) sage: bf2_tt_hex = bf2.tt_hex() sage: bf2_test = BooleanFunctionGeneralLinearClass.from_tt_hex(2, bf2_tt_hex) sage: bf2_test.algebraic_normal_form() x0*x1 + x0 sage: bf2 == bf2_test True TESTS: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf1 = BooleanFunctionGeneralLinearClass([0,1]) sage: bf1_tt_hex = bf1.tt_hex() sage: bf1_test = BooleanFunctionGeneralLinearClass.from_tt_hex(1, bf1_tt_hex) sage: bf1_test.algebraic_normal_form() x sage: bf1 == bf1_test True sage: bf3 = BooleanFunctionGeneralLinearClass([0,1,0,0]*2) sage: bf3.nvariables() 3 sage: bf3_tt_hex = bf3.tt_hex() sage: bf3_test = BooleanFunctionGeneralLinearClass.from_tt_hex(3, bf3_tt_hex) sage: bf3 == bf3_test True """ return cls(BooleanFunctionImproved.from_tt_hex(dim, tt_hex))
[docs] @classmethod def from_csv( cls, csv_file_name): """ Constructor from a csv file. The csv file is assumed to be produced by the method save_as_csv(). INPUT: - ``cls`` -- the class object. - ``csv_file_name`` -- string: the name of the csv file to read from. EXAMPLES: :: sage: import csv sage: import os sage: from boolean_cayley_graphs.boolean_function_general_linear_class import ( ....: BooleanFunctionGeneralLinearClass) sage: bf2 = BooleanFunctionGeneralLinearClass([1,0,1,1]) sage: bf2_csv_name = tmp_filename(ext='.csv') sage: bf2.save_as_csv(bf2_csv_name) sage: bf2_test = BooleanFunctionGeneralLinearClass.from_csv(bf2_csv_name) sage: bf2 == bf2_test True sage: os.remove(bf2_csv_name) sage: bf3 = BooleanFunctionGeneralLinearClass([0,1,0,0]*2) sage: bf3_csv_name = tmp_filename(ext='.csv') sage: bf3.save_as_csv(bf3_csv_name) sage: bf3_test = BooleanFunctionGeneralLinearClass.from_csv(bf3_csv_name) sage: bf3 == bf3_test True """ return cls(BooleanFunctionImproved.from_csv(csv_file_name))
def __eq__(self, other): """ Test for equality between extended translation equivalence classes. WARNING: This test is for mathematical equivalence rather than strict equality. INPUT: - ``other`` - BooleanFunctionExtendedTranslateClassification: another equivalence class. OUTPUT: A Boolean value indicating whether ``self`` is equivalent to ``other``. EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_improved import BooleanFunctionImproved sage: from boolean_cayley_graphs.boolean_function_extended_translate_classification import ( ....: BooleanFunctionExtendedTranslateClassification as BooleanFunctionETC) sage: R2.<x0,x1> = BooleanPolynomialRing(2) sage: p = x0*x1 sage: f1 =BooleanFunctionImproved(p) sage: c1 = BooleanFunctionETC.from_function(f1) sage: f2 =BooleanFunctionImproved([0,0,0,1]) sage: c2 = BooleanFunctionETC.from_function(f2) sage: print(c2.algebraic_normal_form) x0*x1 sage: print(c1 == c2) True """ return self.is_linear_equivalent(other) def __invert__(self): """ Return the complement Boolean function of `self`. INPUT: - ``self`` -- the current object. EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import BooleanFunctionGeneralLinearClass sage: bf0 = BooleanFunctionGeneralLinearClass([1,0,1,1]) sage: bf1 = ~bf0 sage: type(bf1) <class 'boolean_cayley_graphs.boolean_function_general_linear_class.BooleanFunctionGeneralLinearClass'> sage: bf1.algebraic_normal_form() x0*x1 + x0 sage: bf1.truth_table() (False, True, False, False) """ bf_self = BooleanFunctionImproved(self) return type(self)(~bf_self) def __add__(self, other): """ Return the elementwise sum of `self`and `other` which must have the same number of variables. INPUT: - ``self`` -- the current object. - ``other`` -- another Boolean function. OUTPUT: The elementwise sum of `self`and `other` EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import BooleanFunctionGeneralLinearClass sage: bf0 = BooleanFunctionGeneralLinearClass([1,0,1,0]) sage: bf1 = BooleanFunctionGeneralLinearClass([1,1,0,0]) sage: (bf0+bf1).truth_table(format='int') (0, 1, 1, 0) sage: S = bf0.algebraic_normal_form() + bf1.algebraic_normal_form() sage: (bf0+bf1).algebraic_normal_form() == S True TESTS: :: sage: bf0+BooleanFunctionGeneralLinearClass([0,1]) Traceback (most recent call last): ... ValueError: the two Boolean functions must have the same number of variables """ bf_self = BooleanFunctionImproved(self) return type(self)(bf_self + other) def __mul__(self, other): """ Return the elementwise product of `self`and `other` which must have the same number of variables. INPUT: - ``self`` -- the current object. - ``other`` -- another Boolean function. OUTPUT: The elementwise product of `self`and `other` EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import BooleanFunctionGeneralLinearClass sage: bf0 = BooleanFunctionGeneralLinearClass([1,0,1,0]) sage: bf1 = BooleanFunctionGeneralLinearClass([1,1,0,0]) sage: (bf0*bf1).truth_table(format='int') (1, 0, 0, 0) sage: P = bf0.algebraic_normal_form() * bf1.algebraic_normal_form() sage: (bf0*bf1).algebraic_normal_form() == P True TESTS: :: sage: bf0*BooleanFunctionGeneralLinearClass([0,1]) Traceback (most recent call last): ... ValueError: the two Boolean functions must have the same number of variables """ bf_self = BooleanFunctionImproved(self) return type(self)(bf_self * other) def __or__(self, other): """ Return the concatenation of `self` and `other` which must have the same number of variables. INPUT: - ``self`` -- the current object. - ``other`` -- another Boolean function. OUTPUT: The concatenation of `self`and `other` EXAMPLES: :: sage: from boolean_cayley_graphs.boolean_function_general_linear_class import BooleanFunctionGeneralLinearClass sage: bf0 = BooleanFunctionGeneralLinearClass([1,0,1,0]) sage: bf1 = BooleanFunctionGeneralLinearClass([1,1,0,0]) sage: (bf0|bf1).truth_table(format='int') (1, 0, 1, 0, 1, 1, 0, 0) sage: C = bf0.truth_table() + bf1.truth_table() sage: (bf0|bf1).truth_table(format='int') == C True TESTS: :: sage: bf0|BooleanFunctionGeneralLinearClass([0,1]) Traceback (most recent call last): ... ValueError: the two Boolean functions must have the same number of variables """ bf_self = BooleanFunctionImproved(self) return type(self)(bf_self | other)