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#!/usr/bin/env python
# CREATED:2014-12-29 10:52:23 by Brian McFee <brian.mcfee@nyu.edu>
# unit tests for ill-formed inputs
# Disable cache
import os
try:
os.environ.pop("LIBROSA_CACHE_DIR")
except KeyError:
pass
import numpy as np
import librosa
import pytest
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_valid_audio_int():
y = np.zeros(10, dtype=int)
librosa.util.valid_audio(y)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_valid_audio_scalar():
y = np.array(0.0)
librosa.util.valid_audio(y)
def test_valid_stereo_or_mono():
"""valid_audio: mono=False, y.ndim==1"""
y = np.zeros(1000)
librosa.util.valid_audio(y)
def test_valid_stereo():
"""valid_audio: mono=False, y.ndim==2"""
y = np.zeros((1000, 2)).T
librosa.util.valid_audio(y)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_valid_audio_type():
"""valid_audio: list input"""
y = list(np.zeros(1000))
librosa.util.valid_audio(y) # type: ignore
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_valid_audio_nan():
"""valid_audio: NaN"""
y = np.zeros(1000)
y[10] = np.nan
librosa.util.valid_audio(y)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_valid_audio_inf():
"""valid_audio: Inf"""
y = np.zeros(1000)
y[10] = np.inf
librosa.util.valid_audio(y)
def test_valid_audio_strided():
"""valid_audio: strided"""
y = np.zeros(1000)[::2]
librosa.util.valid_audio(y)
def test_valid_audio_clang():
"""valid_audio: C-contiguous"""
y = np.zeros(1000).reshape(2, 500)
librosa.util.valid_audio(y)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_frame_hop():
"""frame: hop_length=0"""
y = np.zeros(128)
librosa.util.frame(y, frame_length=10, hop_length=0)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_frame_size():
# frame: len(y) == 128, frame_length==256, hop_length=128
y = np.zeros(64)
librosa.util.frame(y, frame_length=256, hop_length=128)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_frame_size_difference():
# In response to issue #385
# https://github.com/librosa/librosa/issues/385
# frame: len(y) == 129, frame_length==256, hop_length=128
y = np.zeros(129)
librosa.util.frame(y, frame_length=256, hop_length=128)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_stft_bad_window():
y = np.zeros(22050 * 5)
n_fft = 2048
window = np.ones(n_fft // 2)
librosa.stft(y, n_fft=n_fft, window=window)
@pytest.mark.xfail(raises=librosa.ParameterError)
def test_istft_bad_window():
D = np.zeros((1025, 10), dtype=np.complex64)
n_fft = 2 * (D.shape[0] - 1)
window = np.ones(n_fft // 2)
librosa.istft(D, window=window)
@pytest.mark.xfail(raises=librosa.ParameterError)
@pytest.mark.parametrize("y", [np.empty(22050)])
@pytest.mark.parametrize("mode", ["wrap", "maximum", "minimum", "median", "mean"])
def test_stft_bad_pad(y, mode):
librosa.stft(y, pad_mode=mode)
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