def describe(result):
notes = result.notes
if len(notes) == 1:
return color('green', str(list(notes)[0]))
else:
return color('yellow', '(%s)' %
(' | '.join(map(str, sorted(notes)))))
def describe(component):
if component is None:
return ' ' * 14
desc = '%-14s' % ('%5.1f, %s' % (component.intensity,
component.state))
if component.state is FADING and component.previous_state is RISING:
return color('purple!', desc)
elif component.state is RISING:
return color('green', desc)
elif component.state is FADING:
return color('red', desc)
else:
return desc
def event(self, what, component):
changed = False
if what is NoteEventEmitter.HEARD:
print color('green', component)
changed = self._heard(component)
elif what is NoteEventEmitter.FADED:
print color('red', component)
changed = self._faded(component)
else:
# ??
assert what in NoteEventEmitter.EVENTS
if changed:
self._listener(self._results)
def show_results(results):
def describe(result):
notes = result.notes
if len(notes) == 1:
return color('green', str(list(notes)[0]))
else:
return color('yellow', '(%s)' %
(' | '.join(map(str, sorted(notes)))))
output = ', '.join(describe(result) for result in results) if results \
else color('red', '----')
print ' ' + output
if not results:
print interpreter._note_to_result
print interpreter._component_to_result
results = recording['results']
else:
results = recording
plotted_series = defaultdict(list)
for result in results:
needed = set(notes)
for freq, intensity in result:
note = Note.from_frequency(freq)
if note in needed:
needed.remove(note)
plotted_series[note].append(intensity)
for unfound in needed:
plotted_series[unfound].append(0.0)
colors = get_colors(len(notes))
for i, color_info in enumerate(colors):
print color(color_info[0], '%-3s', notes[i]),
print
plots = []
for note in notes:
plots.append('{%s}' %
', '.join('%.02f' % power for power in plotted_series[note]))
print 'ListLinePlot[{%s},\n PlotStyle -> {%s},\n ' \
'PlotRange -> All, PlotMarkers -> Automatic]' % \
(',\n '.join(plots),
', '.join('%s' % c[1] for c in colors))
def _analyze_component(self, peaked_component, all_components):
try:
fingerprints = self._profile.peaks[peaked_component.note]
except KeyError:
return
# print 'sorry, got nothing for %s' % str(peaked_component.note)
def get_average_intensity(component, index):
start = (-index) - 1
length = 3
intensities = component.intensities[start:start+length]
try:
return sum(intensities) / len(intensities)
except ZeroDivisionError:
return 0.0
peak = peaked_component.peak
peak_offset = peaked_component.counter - peak[0]
# print peaked_component.note, peak[1],
# for component in all_components:
# try:
# intensity = component.intensities[-peak_offset - 1]
# if peak[1] < intensity * 0.8:
# print
# return
# except IndexError:
# continue
# print
# print peaked_component.intensities
peak_intensity = get_average_intensity(peaked_component, peak_offset)
supporters = {}
if peak_intensity > 0.0:
for component in all_components:
if component == peaked_component:
continue
intensity = get_average_intensity(component, peak_offset)
ratio = intensity / peak_intensity
if ratio > 0.15:
supporters[component.note] = ratio
if supporters:
average = sum(supporters.itervalues()) / len(supporters)
maximum = max(supporters.itervalues())
else:
average = maximum = 0.0
if self._debug_peaks:
print >>sys.stderr, '%4d:' % peak[0],
if supporters:
if average <= 0.5:
color_name = 'green!'
else:
color_name = 'blue!'
average_s = '%.2f' % average
else:
color_name = 'yellow!'
average_s = '----'
print >>sys.stderr, color(color_name, 'Component %s peaked at '
'(%.2f => %.2f): %s', peaked_component.note, peak[1],
peak_intensity, average_s)
print >>sys.stderr, ' ' + ', '.join('%s: %.2f' % pair
for pair in sorted(supporters.iteritems(),
key=lambda (n, i): i, reverse=True))
if peak_intensity <= 0.0:
return
best_match = self._profile.find_match(peaked_component.note,
supporters)
if best_match and average <= 0.8 and maximum <= 2.0:
if self._debug:
print >>sys.stderr, '%3d: Peak of %s @ %s indicates note %s ' \
'(distance: %.2f)' % ((peak[0], peaked_component.note,
peak_intensity) + best_match)
self._callback(*best_match)
def create_fingerprints(capturer, target, harmonics):
runs = []
notes = defaultdict(int)
print "Fingerprinting %s;" % str(target),
if harmonics is None:
print "not restricting to harmonics."
else:
print "harmonics: %s" % ", ".join(str(h) for h in harmonics)
def get_common(threshold=3):
common = set()
for note, count in notes.iteritems():
if count >= threshold:
common.add(note)
return common
def make_fingerprint(notes, run):
return dict((note, run.get(note, 0.0)) for note in notes)
def reduce_run(run, max_length=5):
return dict([(note, power) for note, power in sorted(run.iteritems(), key=lambda p: -p[1])][:max_length])
def make_combined(common_notes):
combined = {}
for note in common_notes:
total = 0.0
count = 0
for run in runs:
try:
total += run[note]
count += 1
except KeyError:
continue
combined[note] = total / count
return combined
first_run = True
while (len(runs) < 4 or len(get_common()) < 5) and len(runs) < 7:
color_name = "purple!" if first_run else "black!"
if len(runs) < 2:
style = "quickly (do not hold the note)"
elif len(runs) < 4:
style = "and hold"
else:
style = "however you feel best expresses yourself"
print color(color_name, "--> Play %s %s.", target, style)
first_run = False
results = capturer.capture()
peaks = find_peaks(results, harmonics=harmonics, maximum=6)
if not peaks:
continue
for note, intensity in peaks.iteritems():
notes[note] += 1
print "{%s}" % (", ".join("%s: %d" % pair for pair in sorted(notes.iteritems(), key=lambda p: -p[1])))
runs.append(peaks)
common_notes = get_common()
fingerprints = [reduce_run(run) for run in runs]
fingerprints.append(make_combined(common_notes))
for l in xrange(len(runs), 3, -1):
very_common_notes = get_common(l)
if len(very_common_notes) >= 3:
max_combined = make_combined(very_common_notes)
if make_combined != fingerprints[-1]:
fingerprints.append(max_combined)
break
combined = {}
strict = {}
for note, count in notes.iteritems():
if count >= 3:
total = 0.0
strict_total = 0.0
for i, run in enumerate(runs):
try:
total += run[note]
if count >= 4:
strict_total += run[note]
fingerprints[i][note] = run[note]
except KeyError:
continue
combined[note] = total / count
if count >= 4:
strict[note] = strict_total / count
keys = []
for fp in fingerprints + [combined, strict]:
print "-" * 30
for note, intensity in sorted(fp.iteritems(), key=lambda (n, i): -i):
keys.append(note)
print "%3s @ %5.2f" % (note, intensity)
note_vector = create_vector(keys, combined)
for i in xrange(2):
print color("green!", "--> Play %s in some fashion.", target)
results = capturer.capture()
peaks = find_peaks(results, keys[0])
if not peaks:
print "no match"
else:
print "%.3f" % cosine_distance(note_vector, create_vector(keys, peaks))
return fingerprints + [combined, strict]
for warning in w:
if warning.category is ExtraNoteWarning:
warnings.append(warning.message)
if unheard is not None or error is not None or missing_rec is not None:
color_name = 'red!'
results['errors'] += 1
elif warnings:
color_name = 'yellow!'
results['warnings'] += 1
else:
color_name = 'green!'
results['ok'] += 1
print color(color_name, test.name)
for warning in warnings:
print ' %2d: Extra notes:' % warning.expectation, \
', '.join(str(note) for note in warning.notes)
if unheard is not None:
print color('red', ' %2d: Failed to detect ' %
unheard.expectation +
', '.join(str(note) for note in unheard.notes))
if missing_rec is not None:
print color('red', ' Unable to find recording %r' %
missing_rec.args[0])
if error is not None:
print color('red', ' %s' % error[1])
trace = traceback.format_tb(error[2])
def _run(self):
last_pos = -1
last_expected_pos = -1
for action, arg, expected_pos in self.instructions:
if action == 'pause':
print '--> Playing silence.'
self.matcher.add([])
elif action == 'play':
print '--> Playing %s.' % \
', '.join(unparse_note(*freq_to_note(f)) for f in arg)
self.matcher.add(arg)
else:
raise ValueError(action)
# wait for the matcher to call our matched() method, and for
# matched() to send us the matcher's new position through the queue
new_pos = self._position_queue.get()
if new_pos == last_pos:
message = 'Stayed at'
else:
message = 'Moved to'
# assess what happened:
stop = False
if expected_pos is None:
# we didn't care where we went (instruction ended with ?)
text_color = 'yellow'
elif new_pos != expected_pos:
# we didn't go where we expected
text_color = 'red'
stop = True
verb = 'move to' if expected_pos != last_pos else 'stay at'
expectation_string = '; expected to %s %s' % \
(verb, self._describe_interval(expected_pos))
else:
# we went where we expected
text_color = 'green'
expectation_string = ''
# display what happened
if new_pos == last_pos:
message = 'Stayed at'
else:
message = 'Moved to'
print color(text_color, '<-- %s %s%s.', message,
self._describe_interval(new_pos), expectation_string)
if stop:
break
# if we didn't care where we went on this step (i.e., the line for
# this instruction ended with '?'), save our new position as the
# last-expected position; otherwise, save the actual last-expected
# position
last_expected_pos = expected_pos if expected_pos is not None \
else new_pos
last_pos = new_pos
sleep(0.5)
def print_result(action, note, score=None):
color_name = 'green!' if action == '+' else 'red!'
if score:
print color(color_name, '%3s (%.3f)', note, score)
else:
print color(color_name, '%3s', note)
def print_match(note, distance):
print color('red!', 'Found %s (distance: %.3f)' % (note, distance))
if options.track:
# just track the frequency components visually; do not ID notes
callback = show_components
else:
# full monty: identify the notes being played
detector = Identifier(print_result, profile, debug=options.debug,
debug_peaks=options.peaks)
peak_tracker = PeakTracker(detector)
callback = peak_tracker.update
tracker = ComponentTracker(callback)
if options.track:
# print note headings
for note in watched:
print color('black!', '%-3s%s', note, ' ' * 11),
print
for note in watched:
print color('black!', '=' * 14),
print
if options.recording:
# read the FFT results from a file created by audio/test.py
with open(options.recording, 'rb') as stream:
recording = pickle.load(stream)
if isinstance(recording, dict) and 'results' in recording:
results = recording['results']
else:
results = recording
if len(notes) > 0:
print "Note highlighting:",
highlighted = notes[:len(colors)]
if options.overtones:
i = 2.0
while len(highlighted) + len(notes) <= len(colors):
highlighted += [freq * i for freq in notes]
i += 1
highlighted = list(set(highlighted))
highlighted.sort()
colors = colors[:len(highlighted)]
for color_name, h_freq in zip(colors, highlighted):
print color(color_name,
'%3s ' % unparse_note(*freq_to_note(h_freq))),
print
else:
highlighted = []
listener = audio.Listener(window_size=options.window_size,
interval=options.interval, filters=filters)
queue = listener.start()
recorded = []
series = dict((Note.from_frequency(f), []) for f in highlighted)
plotted_notes = set(series.keys())
while True:
try:
offset, buckets, data = queue.pop()
