workaround for numpy 2.0.0

tests/test_preprocessing.py

@@ -1,4 +1,3 @@
-import librosa
 import numpy as np
 import pysptk
 import pytest
@@ -20,6 +19,7 @@
     example_file_data_sources_for_acoustic_model,
     example_file_data_sources_for_duration_model,
 )
+from packaging.version import Version
 from scipy.io import wavfile
 
 
@@ -449,12 +449,18 @@ def test_dtw_frame_length_adjustment():
         assert X_aligned.shape == Y_aligned.shape
 
 
+@pytest.mark.skipif(
+    Version(np.__version__) >= Version("2.0.0"), reason="numpy >= 2.0.0"
+)
 def test_dtw_aligner():
     from nnmnkwii.preprocessing.alignment import DTWAligner, IterativeDTWAligner
 
     fs, x = wavfile.read(example_audio_file())
     x = (x / 32768.0).astype(np.float32)
     assert fs == 16000
+    # NOTE: librosa deps need to be updated for numpy 2.0.0
+    import librosa
+
     x_fast = librosa.effects.time_stretch(x, rate=2.0)
 
     X = _get_mcep(x, fs)