Module note_seq.performance_controls_test
Tests for performance controls.
Expand source code
# Copyright 2021 The Magenta Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for performance controls."""
from absl.testing import absltest
from note_seq import performance_controls
from note_seq import performance_lib
class NoteDensityPerformanceControlSignalTest(absltest.TestCase):
def setUp(self):
self.control = performance_controls.NoteDensityPerformanceControlSignal(
window_size_seconds=1.0, density_bin_ranges=[1.0, 5.0])
def testExtract(self):
performance = performance_lib.Performance(steps_per_second=100)
pe = performance_lib.PerformanceEvent
perf_events = [
pe(pe.NOTE_ON, 60),
pe(pe.NOTE_ON, 64),
pe(pe.NOTE_ON, 67),
pe(pe.TIME_SHIFT, 50),
pe(pe.NOTE_OFF, 60),
pe(pe.NOTE_OFF, 64),
pe(pe.TIME_SHIFT, 25),
pe(pe.NOTE_OFF, 67),
pe(pe.NOTE_ON, 64),
pe(pe.TIME_SHIFT, 25),
pe(pe.NOTE_OFF, 64)
]
for event in perf_events:
performance.append(event)
expected_density_sequence = [
4.0, 4.0, 4.0, 4.0, 2.0, 2.0, 2.0, 4.0, 4.0, 4.0, 0.0]
density_sequence = self.control.extract(performance)
self.assertEqual(expected_density_sequence, density_sequence)
def testEncoder(self):
density_sequence = [0.0, 0.5, 1.0, 2.0, 5.0, 10.0]
expected_inputs = [
[1.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
[0.0, 1.0, 0.0],
[0.0, 1.0, 0.0],
[0.0, 0.0, 1.0],
[0.0, 0.0, 1.0],
]
self.assertEqual(expected_inputs[0],
self.control.encoder.events_to_input(density_sequence, 0))
self.assertEqual(expected_inputs[1],
self.control.encoder.events_to_input(density_sequence, 1))
self.assertEqual(expected_inputs[2],
self.control.encoder.events_to_input(density_sequence, 2))
self.assertEqual(expected_inputs[3],
self.control.encoder.events_to_input(density_sequence, 3))
self.assertEqual(expected_inputs[4],
self.control.encoder.events_to_input(density_sequence, 4))
self.assertEqual(expected_inputs[5],
self.control.encoder.events_to_input(density_sequence, 5))
class PitchHistogramPerformanceControlSignalTest(absltest.TestCase):
def setUp(self):
self.control = performance_controls.PitchHistogramPerformanceControlSignal(
window_size_seconds=1.0, prior_count=0)
def testExtract(self):
performance = performance_lib.Performance(steps_per_second=100)
pe = performance_lib.PerformanceEvent
perf_events = [
pe(pe.NOTE_ON, 60),
pe(pe.NOTE_ON, 64),
pe(pe.NOTE_ON, 67),
pe(pe.TIME_SHIFT, 50),
pe(pe.NOTE_OFF, 60),
pe(pe.NOTE_OFF, 64),
pe(pe.TIME_SHIFT, 25),
pe(pe.NOTE_OFF, 67),
pe(pe.NOTE_ON, 64),
pe(pe.TIME_SHIFT, 25),
pe(pe.NOTE_OFF, 64)
]
for event in perf_events:
performance.append(event)
expected_histogram_sequence = [
[0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0],
[0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0],
[0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0],
[0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
]
histogram_sequence = self.control.extract(performance)
self.assertEqual(expected_histogram_sequence, histogram_sequence)
def testEncoder(self):
histogram_sequence = [
[0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0],
[0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
]
expected_inputs = [
[0.25, 0, 0, 0, 0.375, 0, 0, 0.375, 0, 0, 0, 0],
[0.0, 0, 0, 0, 0.5, 0, 0, 0.5, 0, 0, 0, 0],
[0.0, 0, 0, 0, 1.0, 0, 0, 0.0, 0, 0, 0, 0],
[1.0 / 12.0] * 12
]
self.assertEqual(
expected_inputs[0],
self.control.encoder.events_to_input(histogram_sequence, 0))
self.assertEqual(
expected_inputs[1],
self.control.encoder.events_to_input(histogram_sequence, 1))
self.assertEqual(
expected_inputs[2],
self.control.encoder.events_to_input(histogram_sequence, 2))
self.assertEqual(
expected_inputs[3],
self.control.encoder.events_to_input(histogram_sequence, 3))
if __name__ == '__main__':
absltest.main()Classes
class NoteDensityPerformanceControlSignalTest (*args, **kwargs)-
Extension of unittest.TestCase providing more power.
Create an instance of the class that will use the named test method when executed. Raises a ValueError if the instance does not have a method with the specified name.
Expand source code
class NoteDensityPerformanceControlSignalTest(absltest.TestCase): def setUp(self): self.control = performance_controls.NoteDensityPerformanceControlSignal( window_size_seconds=1.0, density_bin_ranges=[1.0, 5.0]) def testExtract(self): performance = performance_lib.Performance(steps_per_second=100) pe = performance_lib.PerformanceEvent perf_events = [ pe(pe.NOTE_ON, 60), pe(pe.NOTE_ON, 64), pe(pe.NOTE_ON, 67), pe(pe.TIME_SHIFT, 50), pe(pe.NOTE_OFF, 60), pe(pe.NOTE_OFF, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 67), pe(pe.NOTE_ON, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 64) ] for event in perf_events: performance.append(event) expected_density_sequence = [ 4.0, 4.0, 4.0, 4.0, 2.0, 2.0, 2.0, 4.0, 4.0, 4.0, 0.0] density_sequence = self.control.extract(performance) self.assertEqual(expected_density_sequence, density_sequence) def testEncoder(self): density_sequence = [0.0, 0.5, 1.0, 2.0, 5.0, 10.0] expected_inputs = [ [1.0, 0.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [0.0, 0.0, 1.0], ] self.assertEqual(expected_inputs[0], self.control.encoder.events_to_input(density_sequence, 0)) self.assertEqual(expected_inputs[1], self.control.encoder.events_to_input(density_sequence, 1)) self.assertEqual(expected_inputs[2], self.control.encoder.events_to_input(density_sequence, 2)) self.assertEqual(expected_inputs[3], self.control.encoder.events_to_input(density_sequence, 3)) self.assertEqual(expected_inputs[4], self.control.encoder.events_to_input(density_sequence, 4)) self.assertEqual(expected_inputs[5], self.control.encoder.events_to_input(density_sequence, 5))Ancestors
- absl.testing.absltest.TestCase
- absl.third_party.unittest3_backport.case.TestCase
- unittest.case.TestCase
Methods
def setUp(self)-
Hook method for setting up the test fixture before exercising it.
Expand source code
def setUp(self): self.control = performance_controls.NoteDensityPerformanceControlSignal( window_size_seconds=1.0, density_bin_ranges=[1.0, 5.0]) def testEncoder(self)-
Expand source code
def testEncoder(self): density_sequence = [0.0, 0.5, 1.0, 2.0, 5.0, 10.0] expected_inputs = [ [1.0, 0.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [0.0, 0.0, 1.0], ] self.assertEqual(expected_inputs[0], self.control.encoder.events_to_input(density_sequence, 0)) self.assertEqual(expected_inputs[1], self.control.encoder.events_to_input(density_sequence, 1)) self.assertEqual(expected_inputs[2], self.control.encoder.events_to_input(density_sequence, 2)) self.assertEqual(expected_inputs[3], self.control.encoder.events_to_input(density_sequence, 3)) self.assertEqual(expected_inputs[4], self.control.encoder.events_to_input(density_sequence, 4)) self.assertEqual(expected_inputs[5], self.control.encoder.events_to_input(density_sequence, 5)) def testExtract(self)-
Expand source code
def testExtract(self): performance = performance_lib.Performance(steps_per_second=100) pe = performance_lib.PerformanceEvent perf_events = [ pe(pe.NOTE_ON, 60), pe(pe.NOTE_ON, 64), pe(pe.NOTE_ON, 67), pe(pe.TIME_SHIFT, 50), pe(pe.NOTE_OFF, 60), pe(pe.NOTE_OFF, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 67), pe(pe.NOTE_ON, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 64) ] for event in perf_events: performance.append(event) expected_density_sequence = [ 4.0, 4.0, 4.0, 4.0, 2.0, 2.0, 2.0, 4.0, 4.0, 4.0, 0.0] density_sequence = self.control.extract(performance) self.assertEqual(expected_density_sequence, density_sequence)
class PitchHistogramPerformanceControlSignalTest (*args, **kwargs)-
Extension of unittest.TestCase providing more power.
Create an instance of the class that will use the named test method when executed. Raises a ValueError if the instance does not have a method with the specified name.
Expand source code
class PitchHistogramPerformanceControlSignalTest(absltest.TestCase): def setUp(self): self.control = performance_controls.PitchHistogramPerformanceControlSignal( window_size_seconds=1.0, prior_count=0) def testExtract(self): performance = performance_lib.Performance(steps_per_second=100) pe = performance_lib.PerformanceEvent perf_events = [ pe(pe.NOTE_ON, 60), pe(pe.NOTE_ON, 64), pe(pe.NOTE_ON, 67), pe(pe.TIME_SHIFT, 50), pe(pe.NOTE_OFF, 60), pe(pe.NOTE_OFF, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 67), pe(pe.NOTE_ON, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 64) ] for event in perf_events: performance.append(event) expected_histogram_sequence = [ [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], ] histogram_sequence = self.control.extract(performance) self.assertEqual(expected_histogram_sequence, histogram_sequence) def testEncoder(self): histogram_sequence = [ [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], ] expected_inputs = [ [0.25, 0, 0, 0, 0.375, 0, 0, 0.375, 0, 0, 0, 0], [0.0, 0, 0, 0, 0.5, 0, 0, 0.5, 0, 0, 0, 0], [0.0, 0, 0, 0, 1.0, 0, 0, 0.0, 0, 0, 0, 0], [1.0 / 12.0] * 12 ] self.assertEqual( expected_inputs[0], self.control.encoder.events_to_input(histogram_sequence, 0)) self.assertEqual( expected_inputs[1], self.control.encoder.events_to_input(histogram_sequence, 1)) self.assertEqual( expected_inputs[2], self.control.encoder.events_to_input(histogram_sequence, 2)) self.assertEqual( expected_inputs[3], self.control.encoder.events_to_input(histogram_sequence, 3))Ancestors
- absl.testing.absltest.TestCase
- absl.third_party.unittest3_backport.case.TestCase
- unittest.case.TestCase
Methods
def setUp(self)-
Hook method for setting up the test fixture before exercising it.
Expand source code
def setUp(self): self.control = performance_controls.PitchHistogramPerformanceControlSignal( window_size_seconds=1.0, prior_count=0) def testEncoder(self)-
Expand source code
def testEncoder(self): histogram_sequence = [ [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], ] expected_inputs = [ [0.25, 0, 0, 0, 0.375, 0, 0, 0.375, 0, 0, 0, 0], [0.0, 0, 0, 0, 0.5, 0, 0, 0.5, 0, 0, 0, 0], [0.0, 0, 0, 0, 1.0, 0, 0, 0.0, 0, 0, 0, 0], [1.0 / 12.0] * 12 ] self.assertEqual( expected_inputs[0], self.control.encoder.events_to_input(histogram_sequence, 0)) self.assertEqual( expected_inputs[1], self.control.encoder.events_to_input(histogram_sequence, 1)) self.assertEqual( expected_inputs[2], self.control.encoder.events_to_input(histogram_sequence, 2)) self.assertEqual( expected_inputs[3], self.control.encoder.events_to_input(histogram_sequence, 3)) def testExtract(self)-
Expand source code
def testExtract(self): performance = performance_lib.Performance(steps_per_second=100) pe = performance_lib.PerformanceEvent perf_events = [ pe(pe.NOTE_ON, 60), pe(pe.NOTE_ON, 64), pe(pe.NOTE_ON, 67), pe(pe.TIME_SHIFT, 50), pe(pe.NOTE_OFF, 60), pe(pe.NOTE_OFF, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 67), pe(pe.NOTE_ON, 64), pe(pe.TIME_SHIFT, 25), pe(pe.NOTE_OFF, 64) ] for event in perf_events: performance.append(event) expected_histogram_sequence = [ [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0.5, 0, 0, 0, 0.75, 0, 0, 0.75, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.25, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0.25, 0, 0, 0.0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], ] histogram_sequence = self.control.extract(performance) self.assertEqual(expected_histogram_sequence, histogram_sequence)