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"""Unit tests for sonification methods"""
import pytest
import mir_eval
import numpy as np
import scipy
@pytest.mark.parametrize("times", [np.array([1.0]), np.arange(10.0)])
@pytest.mark.parametrize("fs", [8000, 44100])
def test_clicks(times, fs):
# Test output length for a variety of parameter settings
click_signal = mir_eval.sonify.clicks(times, fs)
assert len(click_signal) == times.max() * fs + int(fs * 0.1) + 1
click_signal = mir_eval.sonify.clicks(times, fs, length=1000)
assert len(click_signal) == 1000
click_signal = mir_eval.sonify.clicks(times, fs, click=np.zeros(1000))
assert len(click_signal) == times.max() * fs + 1000 + 1
@pytest.mark.parametrize("fs", [8000, 44100])
def test_time_frequency(fs):
# Test length for different inputs
signal = mir_eval.sonify.time_frequency(
np.random.standard_normal((100, 1000)),
np.arange(1, 101),
np.linspace(0, 10, 1000),
fs,
)
assert len(signal) == 10 * fs
# Make one longer
signal = mir_eval.sonify.time_frequency(
np.random.standard_normal((100, 1000)),
np.arange(1, 101),
np.linspace(0, 10, 1000),
fs,
length=fs * 11,
)
assert len(signal) == 11 * fs
# Make one shorter
signal = mir_eval.sonify.time_frequency(
np.random.standard_normal((100, 1000)),
np.arange(1, 101),
np.linspace(0, 10, 1000),
fs,
length=fs * 5,
)
assert len(signal) == 5 * fs
def test_time_frequency_const():
# Sonify with a single interval to hit the const interpolator
s1 = mir_eval.sonify.time_frequency(
np.ones((1, 1)),
np.array([60]),
np.array([[0, 1]]),
8000,
)
# Sonify with two tiem intervals to hit the regular interpolator
# but the second frequency will have no energy, so it doesn't
# change the resulting signal
s2 = mir_eval.sonify.time_frequency(
np.array([[1, 1], [0, 0]]),
np.array([60, 90]),
np.array([[0, 1], [0, 1]]),
8000,
)
assert np.allclose(s1, s2)
def test_time_frequency_offset():
fs = 8000
# Length is 3 seconds, first interval starts at 5.
# Should produce an empty signal.
signal = mir_eval.sonify.time_frequency(
np.random.standard_normal((100, 100)),
np.arange(1, 101),
np.linspace(5, 10, 100),
fs,
length=fs * 3,
)
assert len(signal) == 3 * fs
assert np.allclose(signal, 0)
@pytest.mark.xfail(raises=ValueError)
def test_time_frequency_badtime():
fs = 8000
gram = np.ones((10, 20))
times = np.arange(10)
mir_eval.sonify.time_frequency(gram, np.arange(1, 11), times, fs)
@pytest.mark.xfail(raises=ValueError)
def test_time_frequency_badintervals():
fs = 8000
gram = np.ones((10, 20))
times = np.ones((11, 2))
mir_eval.sonify.time_frequency(gram, np.arange(1, 11), times, fs)
@pytest.mark.xfail(raises=ValueError)
def test_time_frequency_frequency():
fs = 8000
gram = np.ones((10, 20))
times = np.arange(20)
mir_eval.sonify.time_frequency(gram, np.arange(1, 8), times, fs)
@pytest.mark.parametrize("fs", [8000, 44100])
def test_chroma(fs):
signal = mir_eval.sonify.chroma(
np.random.standard_normal((12, 1000)), np.linspace(0, 10, 1000), fs
)
assert len(signal) == 10 * fs
signal = mir_eval.sonify.chroma(
np.random.standard_normal((12, 1000)),
np.linspace(0, 10, 1000),
fs,
length=fs * 11,
)
assert len(signal) == 11 * fs
@pytest.mark.parametrize("fs", [8000, 44100])
def test_chords(fs):
intervals = np.array([np.arange(10), np.arange(1, 11)]).T
signal = mir_eval.sonify.chords(
["C", "C:maj", "D:min7", "E:min", "C#", "C", "C", "C", "C", "C"], intervals, fs
)
assert len(signal) == 10 * fs
signal = mir_eval.sonify.chords(
["C", "C:maj", "D:min7", "E:min", "C#", "C", "C", "C", "C", "C"],
intervals,
fs,
length=fs * 11,
)
assert len(signal) == 11 * fs
def test_chord_x():
# This test verifies that X sonifies as silence
intervals = np.array([[0, 1]])
signal = mir_eval.sonify.chords(["X"], intervals, 8000)
assert not np.any(signal), signal
def test_pitch_contour():
# Generate some random pitch
fs = 8000
times = np.linspace(0, 5, num=5 * fs, endpoint=True)
noise = scipy.ndimage.gaussian_filter1d(np.random.randn(len(times)), sigma=256)
freqs = 440.0 * 2.0 ** (16 * noise)
amps = np.linspace(0, 1, num=5 * fs, endpoint=True)
# negate a bunch of sequences
idx = np.unique(np.random.randint(0, high=len(times), size=32))
for start, end in zip(idx[::2], idx[1::2]):
freqs[start:end] *= -1
# Test with inferring duration
x = mir_eval.sonify.pitch_contour(times, freqs, fs)
assert len(x) == fs * 5
# Test with an explicit duration
# This forces the interpolator to go off the end of the sampling grid,
# which should result in a constant sequence in the output
x = mir_eval.sonify.pitch_contour(times, freqs, fs, length=fs * 7)
assert len(x) == fs * 7
assert np.allclose(x[-fs * 2 :], x[-fs * 2])
# Test with an explicit duration and a fixed offset
# This forces the interpolator to go off the beginning of
# the sampling grid, which should result in a constant output
x = mir_eval.sonify.pitch_contour(times + 5.0, freqs, fs, length=fs * 7)
assert len(x) == fs * 7
assert np.allclose(x[: fs * 5], x[0])
# Test with explicit amplitude
x = mir_eval.sonify.pitch_contour(times, freqs, fs, length=fs * 7, amplitudes=amps)
assert len(x) == fs * 7
assert np.allclose(x[0], 0)
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