Compat issues
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@ -9,14 +9,14 @@ def compare_plot():
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timing = beatmap.timing_points[0]
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bpm = timing.bpm
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offset = timing.offset.total_seconds() * 1000
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data = sound_process.process_song(beatmap.audio_filename, bpm, offset0=offset, n_iter_2=48)
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data = sound_process.process_song(beatmap.audio_filename, bpm, offset0=offset, n_iter_2=48, divisor=4)
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timings, amplitudes, freqs = [x[0].total_seconds() for x in data], [x[1] for x in data], [x[2] for x in data]
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original_times = [x.time.total_seconds() for x in beatmap.hit_objects(spinners=False) if x.time.total_seconds() <= timings[len(timings) - 1]]
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#bx.scatter(original_times, ys=10, zs=0)
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plt.scatter(timings, amplitudes, marker="x", c="red")
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plt.scatter(timings, [1 if amplitudes[i] > 1000 else 0 for i in range(len(amplitudes))], marker="x", c="red")
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for x in original_times:
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plt.axvline(x=x)
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@ -498,7 +498,7 @@ def process_song(filename, bpm, offset0=0, div_len_factor=1, n_iter_2=-1, thresh
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#void_freq(filename, offset, offset+div_len*(n_iter+1)+0.01, 4*60/bpm, minfreq=0, maxfreq=330, upperthr=2500, ampthr=60, ampfreq = 1200, ampval = 1/2000, leniency = 0.0, write=True, linear=True, output_file=filtered_name)
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datares = filter_n_percent_serial(filtered_name, offset, n_iter, div_len, threshold)
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#datares = snap(datares, 44100, bpm, 4, True)
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datares = snap2(datares, 44100, bpm, first_offset=offset, div=4, show=True, adjust=True)
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datares = snap2(datares, 44100, bpm, first_offset=offset, div=divisor, show=True, adjust=True)
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frequencies = get_freq(filtered_name, offset, div_len, div_len*n_iter, datares, True)
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Path(f"{filename}_trimmed.wav").unlink()
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return convert_tuple(datares, frequencies)
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