def test_resolution_pathsuccess_1(self):
"""Should return new BraidWord with
manually set generator cut out"""
bw = BraidWord([1, 2, 3])
newbraidword = bw.resolution(random_index=False, index=1)
# Check that word length shortened by one
self.assertEqual(newbraidword.word, [1, 3])
def test_resolution_pathsuccess_0(self):
"""Should return new BraidWord with
random generator cut out"""
bw = BraidWord([1, 2, 3])
newbraidword = bw.resolution()
# Check that word length shortened by one
self.assertEqual(newbraidword.length(), 2)
def test_canDestabilize_pathfail_1(self):
"""Should return False if more than one
largestGenerator exists"""
# More than one largest generator exists
bw = BraidWord([1, 2, 3, 3])
# Execution path False
self.assertFalse(bw.canDestabilize())
def test_conjugate(self):
"""Should conjugate word @ idx 2)"""
bw = BraidWord([1, 2, 3, 4])
# Execution path True
self.assertTrue(bw.conjugate(2))
# Word modification
self.assertEqual(bw.word, [3, 4, 1, 2])
def test_canDestabilize_pathfail_0(self):
"""Should return False if largestGenerator
is not @end"""
# largest generator not at end
bw = BraidWord([1, 2, 5, 3])
# Execution path False
self.assertFalse(bw.canDestabilize())
def test_canFlip_pathsuccess_1(self):
"""Should return True when conditions met
and testing for absolute values of generators"""
# Testing negative generators
bw = BraidWord([-1, -2, -1])
# Execution path True
self.assertTrue(bw.canFlip(0))
def test_crossing_change_pathsuccess_2(self):
"""Should return new BraidWord with
manually set generator inverted"""
bw = BraidWord([1, 2, 3])
newbraidword = bw.crossing_change(random_index=False, index=1)
# Check that manually set generator has been inverted
self.assertEqual(newbraidword.word, [1, -2, 3])
def test_crossing_change_pathfail_0(self):
"""Should raise error if randon_index
set to False and index not set or
not set to int"""
bw = BraidWord([1, 2, 3])
with self.assertRaises(ValueError) as te:
bw.crossing_change(random_index=False)
def test_canFlip_pathsuccess_0(self):
"""Should return True when conditions met
and testing only positive generators
Refer to test_canFlip_pathfail_{0, 1}"""
# Testing positive generators
bw = BraidWord([1, 2, 1])
# Execution path True
self.assertTrue(bw.canFlip(0))
def test_stabilize(self):
"""Should stabilize the word and genCount."""
bw = BraidWord([1, 2, 3])
self.assertTrue(bw.stabilize())
# Word modification
self.assertEqual(bw.word, [1, 2, 3, 4])
# genCount modification
self.assertEqual(bw.genCount, [1, 1, 1, 1])
def test_crossing_change_pathsuccess_0(self):
"""Should return new BraidWord with
random generator inverted"""
bw = BraidWord([1, 2, 3])
newbraidword = bw.crossing_change()
# Check that one generator has been inverted
x = list((i == -abs(i) for i in newbraidword.word))
self.assertTrue(any(x) and not all(x))
def test_cancel_pathsuccess(self):
"""Should successfully cancel gen @idx 3
and should modify word"""
bw = BraidWord([-1, 2, 3, 1])
# Execution path True
self.assertTrue(bw.cancel(3))
# Word modification
self.assertEqual(bw.word, [2, 3])
def test_transpose_pathfail(self):
"""Should return False if two adjacent generators
have absolute values differing by 1 or less
and should not transpose word."""
bw = BraidWord([1, 2, 3, -4]) # Checking absval with -4
self.assertFalse(bw.transpose(2))
# (No) Word modification
self.assertEqual(bw.word, [1, 2, 3, -4])
def test_canFlip_pathfail_1(self):
"""Should return False if
~condP2:
abs(l[index] - l[(index+1) % len(l)]) != 1;
and should not modify word.
"""
bw = BraidWord([1, 3, 1])
# Execution path False
self.assertFalse(bw.canFlip(0))
def test_cancel_pathfail(self):
"""Should return False
and fail to cancel gen @idx 1
and not modify word"""
bw = BraidWord([-1, 2, 3, 1])
# Execution path False
self.assertFalse(bw.cancel(1))
# (No) Word modification
self.assertEqual(bw.word, [-1, 2, 3, 1])
def test_canFlip_pathfail_0(self):
"""Should return False if
~condP1:
( l[index] != l[(index+2) % len(l)] )
and should not modify word.
"""
bw = BraidWord([1, 2, 3])
# Execution path False
self.assertFalse(bw.canFlip(0))
def test_insert_pathfail(self):
"""Should raise ValueError when given
generator (5) > self.largestGenerator (4)
and should not modify word."""
bw = BraidWord([1, 2, 3, 4])
with self.assertRaises(ValueError) as cm:
bw.insert(2, 5)
# (No) Word modification
self.assertEqual(bw.word, [1, 2, 3, 4])
def test_transpose_pathsuccess(self):
"""Should return True if two adjacent generators
have absolute values differing by more than 1
and should successfully transpose word."""
bw = BraidWord([1, 2, 3, 4])
self.assertTrue(
bw.transpose(3)) # Checking wrapping around with @idx 3
# Word modification
self.assertEqual(bw.word, [4, 2, 3, 1])
def test_init_pathsuccess_2(self):
"""
Should create MarkovChain with only BraidWord argument given
(kwargs)
"""
bw = MarkovChain(braidword=BraidWord([1, 2, 3]))
# Check types
self.assertEqual(type(bw.braid), BraidWord)
# Check words
self.assertEqual(bw.braid.word, BraidWord([1, 2, 3]).word)
def test_destabilize_pathsuccess_0(self):
"""Should return True if
Cond1 and Cond2 are satisfied
and should modifiy word and genCount"""
bw = BraidWord([-1, 2, 3]) # Check absval of genCount with -1
self.assertTrue(bw.destabilize())
# Word modifications
self.assertEqual(bw.word, [-1, 2])
# genCount modification
self.assertEqual(bw.genCount, [1, 1])
def test_destabilize_pathfail_1(self):
"""Should return False if
Cond2:
one largestGenerator exists but not at end
and should not modify word or genCount"""
bw = BraidWord([1, 3, 2])
self.assertFalse(bw.destabilize())
# (No) Word modification
self.assertEqual(bw.word, [1, 3, 2])
# (No) genCount modification
self.assertEqual(bw.genCount, [1, 1, 1])
def test_init_pathsuccess_1(self):
"""
Should create MarkovChain if all keyword arguments are valid
(kwargs)
"""
bw = MarkovChain(braidword=BraidWord([1, 2, 3]), maxgen=1, maxlen=1)
# Check types
self.assertEqual(type(bw.braid), BraidWord)
# Check words
self.assertEqual(bw.braid.word, BraidWord([1, 2, 3]).word)
self.assertEqual(bw.maxgen, 1)
self.assertEqual(bw.maxlen, 1)
def test_insert_pathsuccess(self):
"""Should successfully insert generator (3)
@idx 2
and should modify word
and genCount."""
bw = BraidWord([1, 2, 3, 4])
# Execution path True
self.assertTrue(bw.insert(2, 3))
# Word modification
self.assertEqual(bw.word, [1, 2, -3, 3, 3, 4])
# genCount modification
self.assertEqual(bw.genCount, [1, 1, 3, 1])
def test_flip_pathfail_0(self):
"""Should return False if
~condP1:
( l[index] != l[(index+2) % len(l)] )
and should not modify word.
"""
bw = BraidWord([1, 2, 3])
# NOTE condP2 holds (refer to test_flip_pathfail_1)
self.assertFalse(bw.flip(0))
# (No) Word modification
self.assertEqual(bw.word, [1, 2, 3])
# (No) genCount modification
self.assertEqual(bw.genCount, [1, 1, 1])
def test_flip_pathfail_1(self):
"""Should return False if
~condP2:
abs(l[index] - l[(index+1) % len(l)]) != 1
and should not modify word.
"""
bw = BraidWord([1, 3, 1])
# NOTE condP1 holds (refer to test_flip_pathfail_0)
self.assertFalse(bw.flip(0))
# (No) Word modification
self.assertEqual(bw.word, [1, 3, 1])
# (No) genCount modification
self.assertEqual(bw.genCount, [2, 0, 1])
def test_init_success_0(self):
'''
Should successfully create BraidWord
(kwargs)
'''
bw = BraidWord(initword=[1, 2, 3])
self.assertEqual(bw.word, [1, 2, 3])
def test_init_pathfail_1(self):
'''
Should raise ValueError if initword
contains any zeros (kwargs)
'''
with self.assertRaises(ValueError) as te:
bw = BraidWord(initword=[0])
def test_init_pathfail_0(self):
'''
Should raise TypeError if initword
is not a list (args)
'''
with self.assertRaises(TypeError) as te:
bw = BraidWord(1)
def new_braidword(braidword: BraidWord):
r"""
Method to set a new BraidWord.
Parameters
----------
braidword : :obj:`BraidWord`
The new BraidWord to replace the old
BraidWord.
Returns
-------
Replaces self.braid with braidword.
"""
# Check if is braidword
if not isinstance(braidword, BraidWord):
# Check if is list
if not isinstance(braidword, list):
msg = 'First argument must be BraidWord or list.'
raise ValueError(msg)
else:
self.braid = BraidWord(deepcopy(braidword))
else:
self.braid = deepcopy(braidword)
def test_aggregate(self):
'''
Should return non-empty self.braidagg
'''
mc = MarkovChain(BraidWord([1, 2, 3]))
mc.model(num_braidreps=1, msteps=10)
# Check if non-empty
self.assertTrue(mc.aggregate())
