Preserve np.ndarray in field value casting #868
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The default in librosa is sr=22050, which forces resampling, it has to be set explicitly to None to preserve the original sample rate. I doubt this is intentional? If resampling is desired, the field description should include an explicit target sample rate to enable.
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marcenacp
reviewed
May 9, 2025
| [np.array([1, 2, 3]), DataType.FLOAT32, np.array([1.0, 2.0, 3.0])], | ||
| ], | ||
| ) | ||
| def test_cast_value_ndarray(): |
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def test_cast_value_ndarray(conforms_to, value, data_type, expected):
...
marcenacp
reviewed
May 9, 2025
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The current _cast_value will always cast an np.ndarray to a python list. Instead, when the value is an array and the type to cast to is a numpy dtype, use astype and preserve the array.