File size: 1,331 Bytes
63d9fb8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | import numpy as np
import pytest
from ark_asr_mlx.processor import MAX_AUDIO_SAMPLES, ArkASRProcessor
class _FeatureExtractor:
hop_length = 160
def _processor_without_tokenizer() -> ArkASRProcessor:
processor = object.__new__(ArkASRProcessor)
processor.feature_extractor = _FeatureExtractor()
processor.merge_factor = 4
return processor
def test_audio_token_count_matches_encoder_downsampling() -> None:
processor = _processor_without_tokenizer()
assert processor.calculate_audio_token_count(16_000) == 12
assert processor.calculate_audio_token_count(480_000) == 375
def test_empty_array_is_rejected() -> None:
processor = _processor_without_tokenizer()
with pytest.raises(ValueError, match="empty"):
processor.load_audio(np.array([], dtype=np.float32), sample_rate=16_000)
def test_audio_over_thirty_seconds_is_rejected() -> None:
processor = _processor_without_tokenizer()
waveform = np.zeros(MAX_AUDIO_SAMPLES + 1, dtype=np.float32)
with pytest.raises(ValueError, match="at most 30"):
processor.load_audio(waveform, sample_rate=16_000)
def test_array_requires_sample_rate() -> None:
processor = _processor_without_tokenizer()
with pytest.raises(ValueError, match="sample_rate"):
processor.load_audio(np.ones(10, dtype=np.float32))
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