Apply isort to the project
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from argparse import ArgumentParser, Namespace
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from model import train_model, infer_sequence
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from model import infer_sequence, train_model
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def parse_arguments() -> Namespace:
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@ -4,8 +4,8 @@ from numpy import argmax
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from tensorflow import one_hot
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from tensorflow.keras import Model, Sequential
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from tensorflow.keras.layers import Dense, Dropout, Input, Masking
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from tensorflow.keras.models import load_model
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from tensorflow.keras.losses import categorical_crossentropy
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from tensorflow.keras.models import load_model
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from tensorflow.keras.optimizers import Adam
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from tensorflow.keras.regularizers import l2
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from tensorflow.random import set_seed
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