def cycle(self):
"""
A single cycle that allows all agents to perform.
"""
agents = self.agents
random.shuffle(agents)
for agent in agents:
# make the agent perform
output = agent.perform()
group_structure = getNoteGroups(output)
nominal_tempo = self.defaultTempo
nominal_volume = self.defaultVolume
tempo_events = [(event.time, event.tempo) for event in output.tracks[0].eventList if event.type == "tempo"]
notes = [event for event in output.tracks[0].eventList if event.type == "note"]
metrical_hierarchy,metrical_scores = getMetricStructure(output)
keys = key_change.analyze_key_change(output)
accentuation = accentuation_curve(analyze_melodic_accent(output), metrical_scores, keys, notes)
r1_tempo, r1_loudness, r2, r3, r4_tempo, r4_loudness, r5 = \
rule1_tempo(group_structure, nominal_tempo, tempo_events), \
rule1_loudness(group_structure, nominal_volume), \
rule2(group_structure, nominal_tempo, tempo_events), \
rule3(notes, nominal_volume, accentuation), \
rule4_tempo(notes, accentuation, nominal_tempo, tempo_events), \
rule4_loudness(notes, accentuation, nominal_volume), \
rule5(group_structure, nominal_tempo, tempo_events)
# let all other agents evaluate the performance
for a in agents:
if a is not agent:
a.listen(output, r1_tempo, r1_loudness, r2, r3, r4_tempo, r4_loudness, r5)
def __listen_own(self, nominal_tempo, nominal_volume):
self.__logger.debug("Listening to self")
performance = self.performance
group_structure = getNoteGroups(performance)
tempo_events = [(event.time, event.tempo)
for event in performance.tracks[0].eventList
if event.type == "tempo"]
notes = [
event for event in performance.tracks[0].eventList
if event.type == "note"
]
metrical_hierarchy, metrical_scores = getMetricStructure(performance)
keys = key_change.analyze_key_change(performance)
accentuation = accentuation_curve(analyze_melodic_accent(performance),
metrical_scores, keys, notes)
r1_tempo, r1_loudness, r2, r3, r4_tempo, r4_loudness, r5 = \
rule1_tempo(group_structure, nominal_tempo, tempo_events), \
rule1_loudness(group_structure, nominal_volume), \
rule2(group_structure, nominal_tempo, tempo_events), \
rule3(notes, nominal_volume, accentuation), \
rule4_tempo(notes, accentuation, nominal_tempo, tempo_events), \
rule4_loudness(notes, accentuation, nominal_volume), \
rule5(group_structure, nominal_tempo, tempo_events)
return self.evaluate(r1_tempo, r1_loudness, r2, r3, r4_tempo,
r4_loudness, r5)
def __listen_own(self, nominal_tempo, nominal_volume):
self.__logger.debug("Listening to self")
performance = self.performance
group_structure = getNoteGroups(performance)
tempo_events = [(event.time, event.tempo) for event in performance.tracks[0].eventList if event.type == "tempo"]
notes = [event for event in performance.tracks[0].eventList if event.type == "note"]
metrical_hierarchy,metrical_scores = getMetricStructure(performance)
keys = key_change.analyze_key_change(performance)
accentuation = accentuation_curve(analyze_melodic_accent(performance), metrical_scores, keys, notes)
r1_tempo, r1_loudness, r2, r3, r4_tempo, r4_loudness, r5 = \
rule1_tempo(group_structure, nominal_tempo, tempo_events), \
rule1_loudness(group_structure, nominal_volume), \
rule2(group_structure, nominal_tempo, tempo_events), \
rule3(notes, nominal_volume, accentuation), \
rule4_tempo(notes, accentuation, nominal_tempo, tempo_events), \
rule4_loudness(notes, accentuation, nominal_volume), \
rule5(group_structure, nominal_tempo, tempo_events)
return self.evaluate(r1_tempo, r1_loudness, r2, r3, r4_tempo, r4_loudness, r5)
def cycle(self):
"""
A single cycle that allows all agents to perform.
"""
agents = self.agents
random.shuffle(agents)
for agent in agents:
# make the agent perform
output = agent.perform()
group_structure = getNoteGroups(output)
nominal_tempo = self.defaultTempo
nominal_volume = self.defaultVolume
tempo_events = [(event.time, event.tempo)
for event in output.tracks[0].eventList
if event.type == "tempo"]
notes = [
event for event in output.tracks[0].eventList
if event.type == "note"
]
metrical_hierarchy, metrical_scores = getMetricStructure(output)
keys = key_change.analyze_key_change(output)
accentuation = accentuation_curve(analyze_melodic_accent(output),
metrical_scores, keys, notes)
r1_tempo, r1_loudness, r2, r3, r4_tempo, r4_loudness, r5 = \
rule1_tempo(group_structure, nominal_tempo, tempo_events), \
rule1_loudness(group_structure, nominal_volume), \
rule2(group_structure, nominal_tempo, tempo_events), \
rule3(notes, nominal_volume, accentuation), \
rule4_tempo(notes, accentuation, nominal_tempo, tempo_events), \
rule4_loudness(notes, accentuation, nominal_volume), \
rule5(group_structure, nominal_tempo, tempo_events)
# let all other agents evaluate the performance
for a in agents:
if a is not agent:
a.listen(output, r1_tempo, r1_loudness, r2, r3, r4_tempo,
r4_loudness, r5)
