def __create_empty_dict(self):
d = dict()
for transition in make_chord_transitions():
if self.__size is None:
d.update({transition: NoteTransitionDictionary()})
else:
d.update({transition: NoteTransitionDictionary(self.__size)})
return d
def test_init_no_filename(self):
self.td = None
self.td = ChordTransitionDictionary(size=self.size)
chords = make_chord_transitions()
chord_dict = {}
for chord in chords:
from datastructures.base_structures import NoteTransitionDictionary
chord_dict.update({chord: NoteTransitionDictionary(self.size)})
self.assertTrue(chord_dict, self.td.get_dict())
def test_init_no_filename(self):
self.nd = None
self.nd = NoteTransitionDictionary(self.size)
empty_dict = {
x: {y: 0
for y in range(self.size)}
for x in range(self.size)
}
self.assertEqual(self.nd.get_dict(), empty_dict)
def test_update_not_empty(self):
from datastructures.base_structures import NoteTransitionDictionary
import random as rand
nd = NoteTransitionDictionary(self.size)
transitions = []
for x in range(self.size**2):
start = rand.randint(0, self.size-1)
end = rand.randint(0, self.size-1)
transitions.append(NoteTransition(start,end))
nd.add_note_transitions(transitions)
self.pm.update(nd)
for i in range(self.size):
for j in range(self.size):
total = sum(nd.get_dict()[i].values())
if total > 0:
self.assertEqual(self.pm.get_matrix()[i][j], nd.get_dict()[i][j]/total)
def test_update_empty(self):
from datastructures.base_structures import NoteTransitionDictionary
empty = NoteTransitionDictionary(self.size)
before = self.pm.get_matrix()[:]
self.pm.update(empty)
self.assertEqual(before, self.pm.get_matrix())
for song in midi_songs_channel_other:
notes = []
for message in song:
if message.type == "note_on" and message.channel == 1 and message.velocity != 0:
notes.append(message.note)
all_notes.append(notes)
#store each note transition as a tuple into a list
transitions = []
for notes in all_notes:
for i in range(len(notes)-1):
transition = NoteTransition(notes[i],notes[i+1])
transitions.append(transition)
#create markov model data structures
nd = NoteTransitionDictionary()
pm = ProbabilityMatrix()
ntm = NoteTransitionMatrix()
#feed the data from the note transitions into the model
nd.add_note_transitions(transitions)
pm.update(nd)
#print the models
#print(nd.__repr__())
#print(pm.__repr__())
#print(ntm.__repr__())
#check which rows have non-zero rows
x = 0
while x < pm.get_size():
def setUp(self):
self.size = 10
self.nd = NoteTransitionDictionary(self.size)
def test_init_with_filename(self):
self.nd = None
self.nd = NoteTransitionDictionary(
self.size, filename="TestNoteTransitionDictionary.txt")
self.assertEqual(self.nd.read("TestNoteTransitionDictionary.txt"),
self.nd.get_dict())