def _make_files(self):
self._setup_controller()
#K = 0.01
K = 0.0
K_main = 0.05
def make_file_force(bow_force, fmi, count):
self.controller.set_stable_K(self.st, self.dyn, fmi, K)
self.controller.set_stable_K_main(self.st, self.dyn, fmi, K_main)
finger_midi = basic_training.FINGER_MIDIS[fmi]
# FIXME: oh god ick
ap = vivi_types.AudioParams(
self.st, finger_midi,
dynamics.get_distance(self.inst_type, self.dyn), bow_force,
dynamics.get_velocity(self.inst_type, self.dyn))
attack_filename = self.files.make_attack_filename(
self.taskname, ap, count)
#print attack_filename
self.controller.reset()
self.controller.filesNew(attack_filename, self.st)
self.controller.comment(
"verify inst %i st %i dyn %i finger_midi %.3f" %
(self.inst_type, self.st, self.dyn, finger_midi))
begin = vivi_controller.NoteBeginning()
begin.physical.string_number = self.st
begin.physical.dynamic = self.dyn
begin.physical.finger_position = utils.midi2pos(finger_midi)
begin.physical.bow_force = bow_force
begin.physical.bow_bridge_distance = dynamics.get_distance(
self.inst_type, self.dyn)
begin.physical.bow_velocity = dynamics.get_velocity(
self.inst_type, self.dyn)
end = vivi_controller.NoteEnding()
#end.keep_bow_velocity = True
for bow_direction in [1, -1, 1, -1]:
self.controller.reset(True)
begin.physical.bow_velocity *= bow_direction
#begin.physical.bow_force = bow_force
#begin.keep_ears = False
#begin.keep_bow_force = False
#self.controller.note(begin, ATTACK_LENGTH, end)
#begin.physical.bow_force = bow_force*0.8
#begin.keep_ears = True
#begin.keep_bow_force = True
#self.controller.note(begin, STABLE_LENGTH-ATTACK_LENGTH, end)
self.controller.note(begin, STABLE_LENGTH, end)
self.controller.filesClose()
#self.process_step.emit()
return attack_filename
def split_cats(cats):
#notes = [[],[]]
notes = [[], [], [], []]
notes_i = -1
prev = None
for i, cat in enumerate(cats):
if cat is None:
continue
if cat == vivi_defines.CATEGORY_WAIT:
continue
if cat == vivi_defines.CATEGORY_NULL:
prev = None
continue
if prev is None:
notes_i += 1
prev = cat
notes[notes_i].append(cat)
return notes
def get_cats(basename):
nac = note_actions_cats.NoteActionsCats()
nac.load_file(basename, self.files)
#to_find = "finger_midi %i" % basic_training.FINGER_MIDIS[self.fm]
to_find = "finger_midi"
nac.load_note(to_find, full=True)
cats = [b for a, b in nac.get_note_cats()]
#att = self.portion_attack(cats_means)
#att = cats_means # consider entire note
#cost = self.get_cost(att)
notes = split_cats(cats)
return notes
def process_cats(cats):
#print len(cats)
mean = numpy.mean(cats)
return mean
# #std = numpy.std(cats)
# #exit(1)
# #if std > 0.5:
# return 0
# if mean < -0.5:
# direction = -1
# elif mean > 0.5:
# direction = 1
# else:
# direction = 0
# return direction
def handle_finger(fmi):
files = []
init = self.force_init[fmi]
#low = scipy.stats.gmean( [init[0], init[1]])
#high = scipy.mean( [init[1], init[2]])
low = init[0]
#if low < 0.01:
# low = 0.01
high = init[2]
# sanity check
lows = []
highs = []
mids = []
low_files = []
high_files = []
lows.append(low)
highs.append(high)
for count in range(1, self.REPS + 1):
low_filename = make_file_force(low, fmi, count)
low_cats = []
low_cats.extend(sum(get_cats(low_filename), []))
low_direction = process_cats(low_cats)
low_files.append((low, low_filename, low_direction))
high_filename = make_file_force(high, fmi, count)
high_cats = []
high_cats.extend(sum(get_cats(high_filename), []))
high_direction = process_cats(high_cats)
high_files.append((high, high_filename, high_direction))
#print low_direction, high_direction
if low_direction > LOW_MEAN_ACCEPTED or high_direction < HIGH_MEAN_ACCEPTED:
#print "PANIC: fail to begin attack search"
self.verify_good = False
self.process_step.emit()
self.process_step.emit()
def process(force, fmi, lows, mids, highs, low_files, high_files):
#print "%.3f\t%.3f\t%.3f" % (
# low, force, high)
these_files = []
directions = []
for count in range(1, self.REPS + 1):
mid_filename = make_file_force(force, fmi, count)
mid_cats = get_cats(mid_filename)
mid_direction1 = process_cats(mid_cats[0])
mid_direction2 = process_cats(mid_cats[1])
mid_direction = numpy.mean(
(mid_direction1, mid_direction2))
#if mid_direction1 != mid_direction2:
# mid_direction1 = 0
these_files.append((force, mid_filename, mid_direction))
directions.append(mid_direction1)
if numpy.mean(directions) < LOW_MEAN_ACCEPTED:
lows.append(force)
#low_files = these_files
low_files.extend(these_files)
#print "low"
elif numpy.mean(directions) > HIGH_MEAN_ACCEPTED:
highs.append(force)
#high_files = these_files
high_files.extend(these_files)
#print "high"
else:
mids.append(force)
files.extend(these_files)
#print "mid"
for count in range(self.REPS):
self.process_step.emit()
return low_files, high_files
while len(mids) == 0:
if (len(lows) + len(highs) + len(mids)) >= STEPS:
break
#force = numpy.mean( (max(lows), min(highs)) )
force = scipy.stats.gmean((max(lows), min(highs)))
#print "init", fmi, max(lows), force, min(highs)
low_files, high_files = process(force, fmi, lows, mids, highs,
low_files, high_files)
while True:
if (len(lows) + len(highs) + len(mids)) >= STEPS:
break
#print max(lows), min(mids), max(mids), min(highs)
lowdistrel = min(mids) / max(lows)
highdistrel = min(highs) / max(mids)
#print lowdistrel, highdistrel
if lowdistrel > highdistrel:
force = scipy.stats.gmean((max(lows), min(mids)))
force *= random.uniform(0.95, 1.05)
else:
force = scipy.stats.gmean((max(mids), min(highs)))
force *= random.uniform(0.95, 1.05)
#print "main", max(lows), min(mids), max(mids), min(highs)
#print "new force:\t", force
# do force
low_files, high_files = process(force, fmi, lows, mids, highs,
low_files, high_files)
files.extend(low_files)
files.extend(high_files)
files.sort()
if len(mids) == 1:
mids.append(mids[0] * 1.05)
elif len(mids) == 0:
mids.append(max(lows))
mids.append(min(highs))
self.verify_good = False
#self.mids[fmi] = [ min(mids), max(mids) ]
self.mids[fmi] = [max(lows), min(highs)]
#mids.sort()
#print mids
return files
self.kept_files = [[], [], []]
self.mids = [[], [], []]
for fmi in range(3):
#print '-------------- ', fmi
self.kept_files[fmi] = handle_finger(fmi)
#print self.mids[fmi]
#handle_finger(1, self.kept_files[1])
#handle_finger(2, self.kept_files[2])
#print self.kept_files
#print self.mids
return
#print self.forces
#import scipy.special
#agm = scipy.special.agm(min(self.forces), max(self.forces))
#agm /= 4.0
#mid = (min(self.forces) + max(self.forces)) / 2
#mid /= 8.0
#lower = list(numpy.linspace(min(self.forces), mid, STEPS/2+1))
###upper = list(numpy.linspace(agm, max(self.forces), STEPS/2+2))[:-1]
#upper = list(numpy.exp(
# numpy.linspace(
# numpy.log(mid),
# numpy.log(max(self.forces)),
# STEPS/2+1)))
#self.test_range = list(set(lower + upper))
#self.test_range = list(numpy.linspace(min(self.forces),
# max(self.forces), STEPS))
#self.test_range = list(numpy.exp(
#numpy.linspace(
# numpy.log(min(self.forces)),
# numpy.log(max(self.forces)),
# STEPS)))
#print "TEST:", self.test_range
#print "fmi:", self.finger_midi_index
#print self.forces
#self.test_range = self._make_forces(self.forces, 7)
self.test_range = []
#forces = self.test_range
#self.test_range = numpy.array([forces[0], forces[1], forces[2],
# forces[4],
# forces[6], forces[7], forces[8]])
#forces = self.test_range
K = 1.0
self.controller.set_stable_K(self.st, self.dyn, K)
for fmi, finger_midi in enumerate(FINGERS):
test_forces = self._make_forces(self.forces[fmi], 9)
test_forces = test_forces[3:6]
self.test_range.extend(list(test_forces))
#print self.test_range
for count in range(self.REPS):
# ick
#fmi = self.finger_midi_index
#finger_midi = self.finger_midi
#finger_midi = basic_training.FINGER_MIDIS[fmi]
#test_forces = numpy.append(numpy.linspace(
# self.forces[fmi][0],
# self.forces[fmi][1],
# num=3, endpoint=False),
# numpy.linspace(
# self.forces[fmi][1],
# self.forces[fmi][2],
# num=4, endpoint=True))
#for a in test_forces:
# print "%.3f " % a,
#print
#test_forces = self.test_range
#print test_forces
#for fmi, finger_midi in enumerate(basic_training.FINGER_MIDIS):
for bow_force in test_forces:
audio_params = vivi_types.AudioParams(
self.st, finger_midi,
dynamics.get_distance(self.inst_type, self.dyn),
bow_force,
dynamics.get_velocity(self.inst_type, self.dyn))
verify_filename = self.files.make_verify_filename(
self.taskname, audio_params, count)
#print verify_filename
self.controller.filesNew(verify_filename)
self.controller.comment(
"verify int %i st %i dyn %i finger_midi %.3f" %
(self.inst_type, self.st, self.dyn, finger_midi))
begin = vivi_controller.NoteBeginning()
vivi_types.audio_params_to_physical(
audio_params, self.dyn, begin.physical)
end = vivi_controller.NoteEnding()
end.keep_bow_velocity = True
#for bow_direction in [1, -1]:
# begin.physical.bow_velocity *= bow_direction
# self.controller.note(begin, STABLE_LENGTH, end)
#print "Starting note, force:", bow_force
self.controller.note(begin, STABLE_LENGTH, end)
self.controller.filesClose()
self.process_step.emit()
def _make_files(self):
self._setup_controller()
#Ks = numpy.linspace(1.0, 2.5, STEPS_X)
# skip K=1.0
#Ks = numpy.exp(numpy.linspace(
# numpy.log(self.LOW_INIT),
# numpy.log(self.HIGH_INIT),
# STEPS_X+1))[1:]
Ks = numpy.exp(numpy.linspace(
numpy.log(self.LOW_INIT),
numpy.log(self.HIGH_INIT),
STEPS_Y))
#f = self.force_init
#forces = [ 0.25*f, 0.5*f, f, 2*f, 4*f ]
#forces = [ 0.5*f, f, 2*f ]
#forces = self._make_forces(self.force_init, num=9)
#forces = [forces[3], forces[4], forces[5]]
#forces = numpy.linspace(forces[4], forces[5], num=3)
#self.forces_initial = forces
#print forces
self.forces_init_used = []
#emits = 0
for fmi, finger_midi in enumerate(basic_training.FINGER_MIDIS):
#forces = self._make_forces(self.forces_initial[fmi], 9)
#forces = numpy.linspace(forces[4], forces[6], num=3,
# endpoint=True)
#forces = [1.2, 1.35, 1.5]
forces = numpy.linspace(
self.forces_initial[fmi][1],
self.forces_initial[fmi][1] + self.forces_initial[fmi][0],
num=3, endpoint=True)
#print forces
self.forces_init_used.extend(forces)
for K in Ks:
for bow_force in forces:
for count in range(self.REPS):
audio_params = vivi_types.AudioParams(
self.st, finger_midi,
dynamics.get_distance(self.inst_type,
self.dyn),
bow_force,
dynamics.get_velocity(self.inst_type,
self.dyn))
stable_filename = self.files.make_stable_filename(
audio_params,
K, count+1)
self.controller.set_stable_K(self.st, self.dyn, K)
self.controller.filesNew(stable_filename)
self.controller.comment(
"stable inst %i st %i dyn %i finger_midi %.3f"
% (self.inst_type, self.st, self.dyn, finger_midi))
begin = vivi_controller.NoteBeginning()
vivi_types.audio_params_to_physical(
audio_params, self.dyn, begin.physical)
end = vivi_controller.NoteEnding()
#end.keep_bow_velocity = True
for bow_direction in [1, -1]:
begin.physical.bow_velocity *= bow_direction
self.controller.note(begin, STABLE_LENGTH, end)
self.controller.filesClose()
#emits += 1
#print "emit: %i / %i" % (emits, self.steps_full())
self.process_step.emit()
def _make_files(self):
self._setup_controller()
#K = 0.01
K = 0.0
K_main = 0.05
def make_file_force(bow_force, fmi, count):
self.controller.set_stable_K(self.st, self.dyn, fmi, K)
self.controller.set_stable_K_main(self.st, self.dyn, fmi, K_main)
finger_midi = basic_training.FINGER_MIDIS[fmi]
# FIXME: oh god ick
ap = vivi_types.AudioParams( self.st,
finger_midi,
dynamics.get_distance(self.inst_type,
self.dyn),
bow_force,
dynamics.get_velocity(self.inst_type,
self.dyn))
attack_filename = self.files.make_attack_filename(
self.taskname,
ap, count)
#print attack_filename
self.controller.reset()
self.controller.filesNew(attack_filename, self.st)
self.controller.comment("verify inst %i st %i dyn %i finger_midi %.3f"
% (self.inst_type, self.st, self.dyn, finger_midi))
begin = vivi_controller.NoteBeginning()
begin.physical.string_number = self.st
begin.physical.dynamic = self.dyn
begin.physical.finger_position = utils.midi2pos(finger_midi)
begin.physical.bow_force = bow_force
begin.physical.bow_bridge_distance = dynamics.get_distance(
self.inst_type, self.dyn)
begin.physical.bow_velocity = dynamics.get_velocity(
self.inst_type, self.dyn)
end = vivi_controller.NoteEnding()
#end.keep_bow_velocity = True
for bow_direction in [1, -1, 1, -1]:
self.controller.reset(True)
begin.physical.bow_velocity *= bow_direction
#begin.physical.bow_force = bow_force
#begin.keep_ears = False
#begin.keep_bow_force = False
#self.controller.note(begin, ATTACK_LENGTH, end)
#begin.physical.bow_force = bow_force*0.8
#begin.keep_ears = True
#begin.keep_bow_force = True
#self.controller.note(begin, STABLE_LENGTH-ATTACK_LENGTH, end)
self.controller.note(begin, STABLE_LENGTH, end)
self.controller.filesClose()
#self.process_step.emit()
return attack_filename
def split_cats(cats):
#notes = [[],[]]
notes = [[],[],[],[]]
notes_i = -1
prev = None
for i, cat in enumerate(cats):
if cat is None:
continue
if cat == vivi_defines.CATEGORY_WAIT:
continue
if cat == vivi_defines.CATEGORY_NULL:
prev = None
continue
if prev is None:
notes_i += 1
prev = cat
notes[notes_i].append(cat)
return notes
def get_cats(basename):
nac = note_actions_cats.NoteActionsCats()
nac.load_file(basename, self.files)
#to_find = "finger_midi %i" % basic_training.FINGER_MIDIS[self.fm]
to_find = "finger_midi"
nac.load_note(to_find, full=True)
cats = [ b for a,b in nac.get_note_cats() ]
#att = self.portion_attack(cats_means)
#att = cats_means # consider entire note
#cost = self.get_cost(att)
notes = split_cats(cats)
return notes
def process_cats(cats):
#print len(cats)
mean = numpy.mean(cats)
return mean
# #std = numpy.std(cats)
# #exit(1)
# #if std > 0.5:
# return 0
# if mean < -0.5:
# direction = -1
# elif mean > 0.5:
# direction = 1
# else:
# direction = 0
# return direction
def handle_finger(fmi):
files = []
init = self.force_init[fmi]
#low = scipy.stats.gmean( [init[0], init[1]])
#high = scipy.mean( [init[1], init[2]])
low = init[0]
#if low < 0.01:
# low = 0.01
high = init[2]
# sanity check
lows = []
highs = []
mids = []
low_files = []
high_files = []
lows.append(low)
highs.append(high)
for count in range(1,self.REPS+1):
low_filename = make_file_force(low, fmi, count)
low_cats = []
low_cats.extend( sum( get_cats(low_filename), []) )
low_direction = process_cats(low_cats)
low_files.append((low, low_filename, low_direction))
high_filename = make_file_force(high, fmi, count)
high_cats = []
high_cats.extend( sum( get_cats(high_filename), []) )
high_direction = process_cats(high_cats)
high_files.append((high, high_filename, high_direction))
#print low_direction, high_direction
if low_direction > LOW_MEAN_ACCEPTED or high_direction < HIGH_MEAN_ACCEPTED:
#print "PANIC: fail to begin attack search"
self.verify_good = False
self.process_step.emit()
self.process_step.emit()
def process(force, fmi, lows, mids, highs, low_files,
high_files):
#print "%.3f\t%.3f\t%.3f" % (
# low, force, high)
these_files = []
directions = []
for count in range(1,self.REPS+1):
mid_filename = make_file_force(force, fmi, count)
mid_cats = get_cats(mid_filename)
mid_direction1 = process_cats(mid_cats[0])
mid_direction2 = process_cats(mid_cats[1])
mid_direction = numpy.mean((mid_direction1, mid_direction2))
#if mid_direction1 != mid_direction2:
# mid_direction1 = 0
these_files.append( (force, mid_filename, mid_direction))
directions.append(mid_direction1)
if numpy.mean(directions) < LOW_MEAN_ACCEPTED:
lows.append(force)
#low_files = these_files
low_files.extend(these_files)
#print "low"
elif numpy.mean(directions) > HIGH_MEAN_ACCEPTED:
highs.append(force)
#high_files = these_files
high_files.extend(these_files)
#print "high"
else:
mids.append(force)
files.extend(these_files)
#print "mid"
for count in range(self.REPS):
self.process_step.emit()
return low_files, high_files
while len(mids) == 0:
if (len(lows) + len(highs) + len(mids)) >= STEPS:
break
#force = numpy.mean( (max(lows), min(highs)) )
force = scipy.stats.gmean( (max(lows), min(highs)) )
#print "init", fmi, max(lows), force, min(highs)
low_files, high_files = process(force, fmi, lows,
mids, highs, low_files, high_files)
while True:
if (len(lows) + len(highs) + len(mids)) >= STEPS:
break
#print max(lows), min(mids), max(mids), min(highs)
lowdistrel = min(mids) / max(lows)
highdistrel = min(highs) / max(mids)
#print lowdistrel, highdistrel
if lowdistrel > highdistrel:
force = scipy.stats.gmean( (max(lows), min(mids)) )
force *= random.uniform(0.95, 1.05)
else:
force = scipy.stats.gmean( (max(mids), min(highs)) )
force *= random.uniform(0.95, 1.05)
#print "main", max(lows), min(mids), max(mids), min(highs)
#print "new force:\t", force
# do force
low_files, high_files = process(force, fmi, lows,
mids, highs, low_files, high_files)
files.extend(low_files)
files.extend(high_files)
files.sort()
if len(mids) == 1:
mids.append( mids[0]*1.05 )
elif len(mids) == 0:
mids.append( max(lows) )
mids.append( min(highs) )
self.verify_good = False
#self.mids[fmi] = [ min(mids), max(mids) ]
self.mids[fmi] = [ max(lows), min(highs) ]
#mids.sort()
#print mids
return files
self.kept_files = [[], [], []]
self.mids = [[], [], []]
for fmi in range(3):
#print '-------------- ', fmi
self.kept_files[fmi] = handle_finger(fmi)
#print self.mids[fmi]
#handle_finger(1, self.kept_files[1])
#handle_finger(2, self.kept_files[2])
#print self.kept_files
#print self.mids
return
#print self.forces
#import scipy.special
#agm = scipy.special.agm(min(self.forces), max(self.forces))
#agm /= 4.0
#mid = (min(self.forces) + max(self.forces)) / 2
#mid /= 8.0
#lower = list(numpy.linspace(min(self.forces), mid, STEPS/2+1))
###upper = list(numpy.linspace(agm, max(self.forces), STEPS/2+2))[:-1]
#upper = list(numpy.exp(
# numpy.linspace(
# numpy.log(mid),
# numpy.log(max(self.forces)),
# STEPS/2+1)))
#self.test_range = list(set(lower + upper))
#self.test_range = list(numpy.linspace(min(self.forces),
# max(self.forces), STEPS))
#self.test_range = list(numpy.exp(
#numpy.linspace(
# numpy.log(min(self.forces)),
# numpy.log(max(self.forces)),
# STEPS)))
#print "TEST:", self.test_range
#print "fmi:", self.finger_midi_index
#print self.forces
#self.test_range = self._make_forces(self.forces, 7)
self.test_range = []
#forces = self.test_range
#self.test_range = numpy.array([forces[0], forces[1], forces[2],
# forces[4],
# forces[6], forces[7], forces[8]])
#forces = self.test_range
K = 1.0
self.controller.set_stable_K(self.st, self.dyn, K)
for fmi, finger_midi in enumerate(FINGERS):
test_forces = self._make_forces(self.forces[fmi], 9)
test_forces = test_forces[3:6]
self.test_range.extend( list(test_forces))
#print self.test_range
for count in range(self.REPS):
# ick
#fmi = self.finger_midi_index
#finger_midi = self.finger_midi
#finger_midi = basic_training.FINGER_MIDIS[fmi]
#test_forces = numpy.append(numpy.linspace(
# self.forces[fmi][0],
# self.forces[fmi][1],
# num=3, endpoint=False),
# numpy.linspace(
# self.forces[fmi][1],
# self.forces[fmi][2],
# num=4, endpoint=True))
#for a in test_forces:
# print "%.3f " % a,
#print
#test_forces = self.test_range
#print test_forces
#for fmi, finger_midi in enumerate(basic_training.FINGER_MIDIS):
for bow_force in test_forces:
audio_params = vivi_types.AudioParams(
self.st, finger_midi,
dynamics.get_distance(self.inst_type,self.dyn),
bow_force,
dynamics.get_velocity(self.inst_type,self.dyn))
verify_filename = self.files.make_verify_filename(
self.taskname,
audio_params,
count)
#print verify_filename
self.controller.filesNew(verify_filename)
self.controller.comment(
"verify int %i st %i dyn %i finger_midi %.3f"
% (self.inst_type, self.st, self.dyn, finger_midi))
begin = vivi_controller.NoteBeginning()
vivi_types.audio_params_to_physical(
audio_params, self.dyn, begin.physical)
end = vivi_controller.NoteEnding()
end.keep_bow_velocity = True
#for bow_direction in [1, -1]:
# begin.physical.bow_velocity *= bow_direction
# self.controller.note(begin, STABLE_LENGTH, end)
#print "Starting note, force:", bow_force
self.controller.note(begin, STABLE_LENGTH, end)
self.controller.filesClose()
self.process_step.emit()
