def model_frames_to_time()

in basic_pitch/note_creation.py [0:0]

• 12 lines of code
• 2 McCabe index (conditional complexity)

def model_frames_to_time(n_frames: int) -> np.ndarray:
    original_times = librosa.core.frames_to_time(
        np.arange(n_frames),
        sr=AUDIO_SAMPLE_RATE,
        hop_length=FFT_HOP,
    )
    window_numbers = np.floor(np.arange(n_frames) / ANNOT_N_FRAMES)
    window_offset = (FFT_HOP / AUDIO_SAMPLE_RATE) * (
        ANNOT_N_FRAMES - (AUDIO_N_SAMPLES / FFT_HOP)
    ) + 0.0018  # this is a magic number, but it's needed for this to align properly
    times = original_times - (window_offset * window_numbers)
    return times