import fuzz
 
# Instantiating a PolynomialFuzzyNumber is done by providing
# a list of (value, mu) tuple to the constructor:
polygonal = [fuzz.PolygonalFuzzyNumber([(0.0, 0.0), \
    (0.25, 1.0), (1.0, 0.5), (1.3, 1.0), (1.8, 0.0)])]
 
polygonal += [fuzz.PolygonalFuzzyNumber([(0.0, 0.0), \
    (1.0, 0.5), (3.0, 1.0), (4.0, 1.0), (6.0, 0.0)])]
 
# A trapezoidal needs to be given a tuple containing the values
# of the kernels (mu = 1.0) and a tuple containing the values
# of the support (mu = 0.0)
trapezoidal = [fuzz.TrapezoidalFuzzyNumber((1.0, 2.0), \
    (0.3, 3.0))]
 
trapezoidal += [fuzz.TrapezoidalFuzzyNumber((1.0, 6.0), \
    (0.5, 10.0))]
 
# A triangular set needs to be provided the value of the
# kernel, and a tuple containing the values of the support.
triangular = [fuzz.TriangularFuzzyNumber(1.0, (0.0, 3.0))]
triangular += [fuzz.TriangularFuzzyNumber(4.0, (0.0, 4.5))]
 
# Gaussian fuzzy sets simply need the mean, and standard
# derivation for the estimated value.
gaussian = [fuzz.GaussianFuzzyNumber(1.0, 0.2)]
gaussian += [fuzz.GaussianFuzzyNumber(12.0, 1.0)]

>>> # Polygonal Union:
... print polygonal[0] | polygonal[1]
PolygonalFuzzyNumber: kernel [(0.25, 0.25), (1.3, 1.3), \
(3.0, 4.0)], support [(0.0, 6.0)]
 
>>> # Polygonal Intersection:
... print polygonal[0] & polygonal[1]
PolygonalFuzzyNumber: kernel [], support [(0.0, 6.0)]
 
>>> # Trapezoidal Addition:
... print trapezoidal[0] + trapezoidal[1]
TrapezoidalFuzzyNumber: kernel (2.0, 8.0), support (0.8000000\
0000000004, 13.0)
 
>>> # Gaussian Addition
... print gaussian[0] + gaussian[1]
GaussianFuzzyNumber: kernel (13.0, 13.0), support (4.85663149\
07018668, 21.143368509298135)

from fuzzynums import *
from fuzz.visualization import VisManager
 
gaussian = fuzz.GaussianFuzzyNumber(1.0, 0.2)
plugin = VisManager.create_backend(gaussian)
(vis_format, vis_data) = plugin.visualize()
 
with (open("visualization.%s" % vis_format, "wb")) as fp:
    fp.write(vis_data)

plugin = VisManager.create_backend(gaussian, 'num_gnuplot')

(vis_format, vis_data) = plugin.visualize(format="gif")

from fuzz import FuzzySet, FuzzyElement
 
# Create two lists of FuzzyElements
elements_a = [(1, 0.3), (2, 0.5), (3, 0.7), (4, 0.9)]
elements_b = [(3, 0.8), (6, 0.6), (1, 0.4), (8, 0.2)]
 
elements_a = [FuzzyElement(x[0], x[1]) for x in elements_a]
elements_b = [FuzzyElement(x[0], x[1]) for x in elements_b]
 
# Create two fuzzy sets
set_a = FuzzySet()
set_b = FuzzySet()
 
set_a.update(elements_a)
set_b.update(elements_b)

>>> from example import *
>>> # Set Difference
...
>>> set_a - set_b
FuzzySet([FuzzyElement(2, 0.500000), FuzzyElement(4, 0.900000)])
>>> set_b - set_a
FuzzySet([FuzzyElement(8, 0.200000), FuzzyElement(6, 0.600000)])
# Set Union
...
>>> set_a | set_b
FuzzySet([FuzzyElement(1, 0.400000), FuzzyElement(2, 0.500000), FuzzyElement(3, 0.800000), FuzzyElement(4, 0.900000), FuzzyElement(6, 0.600000), FuzzyElement(8, 0.200000)])
# Set Intersection
...
>>> set_a & set_b
FuzzySet([FuzzyElement(1, 0.300000), FuzzyElement(3, 0.700000)])

import fuzz
 
# Create two sets of vertices
set_a = set([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
set_b = set([11, 12, 13, 14, 15, 16, 17, 18, 19, 20])
 
# Create our graph objects
graph_a = fuzz.FuzzyGraph(viter=set_a, directed=False)
graph_b = fuzz.FuzzyGraph(viter=set_b, directed=True)
 
# Create some arcs in graph_a
graph_a.connect(1, 3, 0.5)
graph_a.connect(3, 6, 0.06)
graph_a.connect(2, 8, 0.2)
graph_a.connect(4, 1, 0.9)
 
# And some in graph_b
graph_b.connect(11, 19, 0.9)
graph_b.connect(14, 12, 0.3)
graph_b.connect(15, 14, 0.5)

>>> from graphs import *
>>> # Retrieve the mu value of the edge between 1 and 3
... 
>>> graph_a.mu(3, 1)
0.5
>>> # Retrieve an alpha-cut of graph_b against mu-value of 0.5
... 
>>> graph_b.alpha(0.5)
Graph(viter = set([11, 12, 13, 14, 15, 16, 17, 18, 19, 20]), eiter = set([(15, 14), (11, 19)]), directed = True)
>>> # Is graph_a a subgraph of graph_b? (no)
... graph_a.issubgraph(graph_b)
False
>>> # Detect adjacent (connected) vertices
...
>>> graph_a.adjacent(1, 2)
False
>>> graph_a.adjacent(1, 3)
True
>>> # Find all the neighbours of the vertex with value 3
... 
>>> graph_a.neighbors(3)
set([1, 6])
>>> # Find the shortest path to all vertices using 6 as origin
... 
>>> graph_a.dijkstra(6)
{1: 3, 2: None, 3: 6, 4: 1, 5: None, 6: None, 7: None, 8: None, 9: None, 10: None}
>>> # Find the minimum spanning tree of graph_a
... 
>>> graph_a.minimum_spanning_tree()
Graph(viter = set([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), eiter = set([(2, 8), (1, 3), (4, 1), (3, 6)]), directed = False)

def binary_exponent(base, exponent):
    """\
    Binary Exponentiation
 
    Instead of computing the exponentiation in the traditional way,
    convert the exponent to its reverse binary representation.
 
    Each time a 1-bit is encountered, we multiply the running total by
    the base, then square the base.
    """
    # Convert n to base 2, then reverse it.
    exponent = bin(exponent)[2:][::-1]
 
    result = 1
    for i in range(0, len(exponent)):
        if exponent[i] == '1':
            result *= base
        base *= base
    return result

def modular_exponent(base, exponent, mod):
    """\
    Modular exponentiation through binary decomposition.
 
    We use the same technique as for the binary exponentiation above in
    order to find the modulo of our very large exponent and an arbitrary
    integer mod.
    """
    exponent = bin(exponent)[2:][::-1]
 
    x = 1
    power = base % mod
    for i in range(0, len(exponent)):
        if exponent[i] == '1':
            x = (x * power) % mod
        power = (power ** 2) % mod
    return x

# Decimal to binary conversion:
>>> bin(15)
'0b1111'
 
# Binary to decimal conversion:
>>> str(0b1111)
'15'
 
# Binary addition:
>>> bin(0b1111 + 0b10011)
'0b100010'
 
# Binary multiplication:
>>> bin(0b1111 * 0b10011)
'0b100011101'

"""Simple binary operation algorithm."""
 
import math
 
# a and b should be string representation of the binary components
# You could easily extend this to overload the + operator for binaries,
# but this is already built into python.
def binary_addition(bin_a, bin_b):
    """Performs a binary addition against two provided binary numbers"""
 
    # Pad the components so they are of equal length
    max_length = max(len(bin_a), len(bin_b))
    bin_a, bin_b = bin_a.zfill(max_length), bin_b.zfill(max_length)
 
 
    carry = 0
    result = ''
 
    # Note that we work from right to left
    for i in range(0, max_length)[::-1]:
        tmp = int(math.floor((int(bin_a[i]) + int(bin_b[i]) + carry)/2))
        res = str(int(bin_a[i]) + int(bin_b[i]) + carry - 2*tmp)
        result += res
        carry = tmp
 
    result = (result + str(carry))[::-1]
    try:
        return result[result.index('1'):]
    except ValueError, ex:
        return '0'

"""Unit test for binary_addition.py"""
 
import unittest
from binary_addition import binary_addition
 
class TestBinaryAddition(unittest.TestCase):
 
    """Comparing python binary addition against our own"""
 
    def test_add_same_length(self):
 
        """Adding 2 binary numbers of the same length"""
 
        bin_a = '001001101'
        bin_b = '011011010'
 
        self._compare_additions(bin_a, bin_b)
 
    def test_add_b_larger(self):
 
        """ B has more digits than A """
 
        bin_a = '01000101'
        bin_b = '1110010110101011101101011101000101'
 
        self._compare_additions(bin_a, bin_b)
 
    def test_add_b_smaller(self):
 
        """B has less digits than A"""
 
 
        bin_a = '1110001001001001001101101011000101'
        bin_b = '0110010'
 
        self._compare_additions(bin_a, bin_b)
 
    def _compare_additions(self, bin_a, bin_b):
 
        """Compares the python implementation against ours"""
 
        bin_add = binary_addition(bin_a, bin_b)
        py_add = bin(eval("0b%s" % bin_a) + eval("0b%s" % bin_b))
 
        algo_res = bin_add[bin_add.index('1'):]
        py_res = py_add[py_add.index('1'):]
 
        self.assertEqual(py_res, algo_res)
 
 
 
if '__main__' == __name__:
    unittest.main()

"""Simple Binary multiplication algorithm"""
 
 
import sys
import os.path
 
from binary_addition import binary_addition
 
 
def binary_multiplication(bin_a, bin_b):
    """Multiplies two binary numbers by using python lists to
    easily shift digits around"""
 
    temp_result = []
    result = "0"
 
    # Remove any unnecessary padding
    bin_a = bin_a[bin_a.index('1'):]
    bin_b = bin_b[bin_b.index('1'):]
 
    for i in range(0, len(bin_b))[::-1]:
        if bin_b[i] == '1':
            temp_result.append("%s%s" % (bin_a, "0" * (len(bin_b)-i-1)))
        else:
            temp_result.append("0")
 
 
    for val in temp_result:
        result = binary_addition(str(result), str(val))
 
    return result

"""Unit test for binary_addition.py"""
 
import unittest
from binary_multiplication import binary_multiplication
 
class TestBinaryAddition(unittest.TestCase):
 
    """Comparing python binary multiplication against our own"""
 
    def test_add_same_length(self):
 
        """Multiplying 2 binary numbers of the same length"""
 
        bin_a = '001001101'
        bin_b = '011011010'
 
        self._compare_multiplications(bin_a, bin_b)
 
    def test_simple(self):
 
        """Multiplying 2 simple binary numbers"""
        bin_a = '110'
        bin_b = '101'
 
        self._compare_multiplications(bin_a, bin_b)
 
    def test_add_b_larger(self):
 
        """B has more digits than A"""
 
        bin_a = '010'
        bin_b = '111001011000101'
 
        self._compare_multiplications(bin_a, bin_b)
 
    def test_add_b_smaller(self):
 
        """ B has less digits than A """
 
        bin_a = '111001011000101'
        bin_b = '010'
 
        self._compare_multiplications(bin_a, bin_b)
 
    def _compare_multiplications(self, bin_a, bin_b):
 
        """Compares the python implementation against ours"""
 
        bin_mult = binary_multiplication(bin_a, bin_b)
        py_mult = bin(eval("0b%s" % bin_a) * eval("0b%s" % bin_b))
 
        algo_res = bin_mult[bin_mult.index('1'):]
        py_res = py_mult[py_mult.index('1'):]
 
        self.assertEqual(py_res, algo_res)
 
 
 
if '__main__' == __name__:
    unittest.main()

"""Simple implementation of a base expansion algorithm"""
 
import math
 
def base_expand(base, val):
    """This simple function performs a base-expansion from decimal
    using moduli and a translation table. The translation table is
    a clear limitation here, in that it implies the maximum base
    is 36."""
 
    if (base < 2) or (base > 36):
        raise BaseOutOfBoundsError(base)
 
    trans_table = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ'
    res = ''
 
    while val != 0:
        res += trans_table[(int(val % base))]
        val = math.floor(val / base)
    return res[::-1]
 
class BaseOutOfBoundsError(Exception):
    """Base must be between 2 and 36"""
    def __init__(self, val):
        self.val = val
    def __str__(self):
        print "\nInvalid base: %s. Base must be (x | x > 1; x < 37)" % \
            self.val

"""Unit tests for base_expansion.py"""
 
import unittest
from base_expansion import base_expand, BaseOutOfBoundsError
 
# Unit tests for base_expansion.py
class TestVals(unittest.TestCase):
    """Test suite"""
 
    def test_known_values(self):
        """Testing against known values"""
 
        vals = [{'val': 8, 'base': 2, 'expect': '1000'},
            {'val': 915652, 'base': 16, 'expect': 'DF8C4'},
            {'val': 256, 'base': 10, 'expect': '256'},
            {'val': 88189, 'base': 8, 'expect': '254175'}]
 
        for val in vals:
            self.assertEqual(val['expect'], \
                base_expand(val['base'], val['val']))
 
    def test_invalid_base(self):
        """ Testing invalid bases """
 
        bases = [1, 37, 50, 100]
        for base in bases:
            self.assertRaises(BaseOutOfBoundsError, base_expand, \
                base, 1)
 
 
 
if '__main__' == __name__:
    unittest.main()