research/gam/gam/data/dataset.py [139:160]:
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           indices_train=None,
           indices_test=None,
           indices_val=None,
           indices_unlabeled=None,
           num_classes=None,
           feature_preproc_fn=None):
    """Copies Dataset."""
    name = name if name is not None else self.name
    features = features if features is not None else self.features
    labels = labels if labels is not None else self.labels
    indices_train = (
        indices_train if indices_train is not None else self.indices_train)
    indices_test = (
        indices_test if indices_test is not None else self.indices_test)
    indices_val = indices_val if indices_val is not None else self.indices_val
    indices_unlabeled = (
        indices_unlabeled
        if indices_unlabeled is not None else self.indices_unlabeled)
    num_classes = num_classes if num_classes is not None else self.num_classes
    feature_preproc_fn = (
        feature_preproc_fn
        if feature_preproc_fn is not None else self.feature_preproc_fn)
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research/gam/gam/data/dataset.py [305:325]:
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           indices_train=None,
           indices_test=None,
           indices_val=None,
           indices_unlabeled=None,
           num_classes=None,
           feature_preproc_fn=None):
    name = name if name is not None else self.name
    features = features if features is not None else self.features
    labels = labels if labels is not None else self.labels
    indices_train = (
        indices_train if indices_train is not None else self.indices_train)
    indices_test = (
        indices_test if indices_test is not None else self.indices_test)
    indices_val = indices_val if indices_val is not None else self.indices_val
    indices_unlabeled = (
        indices_unlabeled
        if indices_unlabeled is not None else self.indices_unlabeled)
    num_classes = num_classes if num_classes is not None else self.num_classes
    feature_preproc_fn = (
        feature_preproc_fn
        if feature_preproc_fn is not None else self.feature_preproc_fn)
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