[~] Refactor
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				@ -303,10 +303,18 @@ def kernel_3(
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def kernel_4(
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    o_2,
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    input_texts=None,
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):
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    import keras.preprocessing.sequence
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    t1 = 'blahb blahb blah'
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    if input_texts is None:
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        input_texts = [
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            'blahb blahb blah'
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        ]
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    t6 = []
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    for o in input_texts:
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        t1 = o
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        t2 = o_2['token'].texts_to_sequences(
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            [t1],
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        )
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@ -317,10 +325,17 @@ def kernel_4(
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        t4 = o_2['model'].predict(
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            t3,
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        )
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        t6.append(
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            dict(
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                text=o,
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                score=t4[0],
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            )
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        )
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    return dict(
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        t1=t1,
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        t2=t2,
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        t3=t3,
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        t4=t4,
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        t6=t6,
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    )
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