old_contents: # ----------------------------------------------------------------------
  # Numenta Platform for Intelligent Computing (NuPIC)
  # Copyright (C) 2021, Numenta, Inc.  Unless you have an agreement
  # with Numenta, Inc., for a separate license for this software code, the
  # following terms and conditions apply:
  #
  # This program is free software: you can redistribute it and/or modify
  # it under the terms of the GNU Affero Public License version 3 as
  # published by the Free Software Foundation.
  #
  # This program is distributed in the hope that it will be useful,
  # but WITHOUT ANY WARRANTY; without even the implied warranty of
  # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  # See the GNU Affero Public License for more details.
  #
  # You should have received a copy of the GNU Affero Public License
  # along with this program.  If not, see http://www.gnu.org/licenses.
  #
  # http://numenta.org/licenses/
  # ----------------------------------------------------------------------
  
  # Automatically import models. This will update Transformer's model mappings so that
  # custom models can be loaded via AutoModelForMaskedLM and related auto-constructors.
  import models
  
  from .base import CONFIGS as BASE
  from .bert_replication import CONFIGS as BERT_REPLICATION
  from .bertitos import CONFIGS as BERTITOS
  from .finetuning import CONFIGS as FINETUNING
  from .rigl_bert import CONFIGS as RIGL_BERT
  from .sparse_bert import CONFIGS as SPARSE_BERT
  from .distillation import CONFIGS as DISTILLATION
  
  """
  Import and collect all experiment configurations into one CONFIG
  """
  __all__ = ["CONFIGS"]
  
  # Collect all configurations
  CONFIGS = dict()
  CONFIGS.update(BASE)
  CONFIGS.update(BERT_REPLICATION)
  CONFIGS.update(BERTITOS)
  CONFIGS.update(FINETUNING)
  CONFIGS.update(RIGL_BERT)
  CONFIGS.update(SPARSE_BERT)
  CONFIGS.update(FINETUNING)
  CONFIGS.update(DISTILLATION)
new_contents: # ----------------------------------------------------------------------
  # Numenta Platform for Intelligent Computing (NuPIC)
  # Copyright (C) 2021, Numenta, Inc.  Unless you have an agreement
  # with Numenta, Inc., for a separate license for this software code, the
  # following terms and conditions apply:
  #
  # This program is free software: you can redistribute it and/or modify
  # it under the terms of the GNU Affero Public License version 3 as
  # published by the Free Software Foundation.
  #
  # This program is distributed in the hope that it will be useful,
  # but WITHOUT ANY WARRANTY; without even the implied warranty of
  # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  # See the GNU Affero Public License for more details.
  #
  # You should have received a copy of the GNU Affero Public License
  # along with this program.  If not, see http://www.gnu.org/licenses.
  #
  # http://numenta.org/licenses/
  # ----------------------------------------------------------------------
  
  # Automatically import models. This will update Transformer's model mappings so that
  # custom models can be loaded via AutoModelForMaskedLM and related auto-constructors.
  import models
  
  from .base import CONFIGS as BASE
  from .bert_replication import CONFIGS as BERT_REPLICATION
  from .bertitos import CONFIGS as BERTITOS
  from .distillation import CONFIGS as DISTILLATION
  from .finetuning import CONFIGS as FINETUNING
  from .one_cycle_lr import CONFIGS as ONE_CYCLE_LR
  from .rigl_bert import CONFIGS as RIGL_BERT
  from .sparse_bert import CONFIGS as SPARSE_BERT
  
  """
  Import and collect all experiment configurations into one CONFIG
  """
  __all__ = ["CONFIGS"]
  
  # Collect all configurations
  CONFIGS = dict()
  CONFIGS.update(BASE)
  CONFIGS.update(BERT_REPLICATION)
  CONFIGS.update(BERTITOS)
  CONFIGS.update(DISTILLATION)
  CONFIGS.update(FINETUNING)
  CONFIGS.update(ONE_CYCLE_LR)
  CONFIGS.update(RIGL_BERT)
  CONFIGS.update(SPARSE_BERT)
  
subject: Update __init__.py.