old_contents: """Root package info."""
  
  __version__ = '0.7.2rc7'
  __author__ = 'William Falcon et al.'
  __author_email__ = 'waf2107@columbia.edu'
  __license__ = 'Apache-2.0'
  __copyright__ = 'Copyright (c) 2018-2020, %s.' % __author__
  __homepage__ = 'https://github.com/PyTorchLightning/pytorch-lightning'
  # this has to be simple string, see: https://github.com/pypa/twine/issues/522
  __docs__ = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers." \
             " Scale your models. Write less boilerplate."
  
  import logging as python_logging
  
  _logger = python_logging.getLogger("lightning")
  python_logging.basicConfig(level=python_logging.INFO)
  
  try:
      # This variable is injected in the __builtins__ by the build
      # process. It used to enable importing subpackages of skimage when
      # the binaries are not built
      __LIGHTNING_SETUP__
  except NameError:
      __LIGHTNING_SETUP__ = False
  
  if __LIGHTNING_SETUP__:
      import sys  # pragma: no-cover
      sys.stdout.write(f'Partial import of `{__name__}` during the build process.\n')  # pragma: no-cover
      # We are not importing the rest of the lightning during the build process, as it may not be compiled yet
  else:
      from pytorch_lightning.core import LightningModule
      from pytorch_lightning.trainer import Trainer
      from pytorch_lightning.callbacks import Callback
      from pytorch_lightning.core import data_loader
  
      __all__ = [
          'Trainer',
          'LightningModule',
          'Callback',
          'data_loader'
      ]
      # __call__ = __all__
  
new_contents: """Root package info."""
  
  __version__ = '0.7.2'
  __author__ = 'William Falcon et al.'
  __author_email__ = 'waf2107@columbia.edu'
  __license__ = 'Apache-2.0'
  __copyright__ = 'Copyright (c) 2018-2020, %s.' % __author__
  __homepage__ = 'https://github.com/PyTorchLightning/pytorch-lightning'
  # this has to be simple string, see: https://github.com/pypa/twine/issues/522
  __docs__ = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers." \
             " Scale your models. Write less boilerplate."
  
  import logging as python_logging
  
  _logger = python_logging.getLogger("lightning")
  python_logging.basicConfig(level=python_logging.INFO)
  
  try:
      # This variable is injected in the __builtins__ by the build
      # process. It used to enable importing subpackages of skimage when
      # the binaries are not built
      __LIGHTNING_SETUP__
  except NameError:
      __LIGHTNING_SETUP__ = False
  
  if __LIGHTNING_SETUP__:
      import sys  # pragma: no-cover
      sys.stdout.write(f'Partial import of `{__name__}` during the build process.\n')  # pragma: no-cover
      # We are not importing the rest of the lightning during the build process, as it may not be compiled yet
  else:
      from pytorch_lightning.core import LightningModule
      from pytorch_lightning.trainer import Trainer
      from pytorch_lightning.callbacks import Callback
      from pytorch_lightning.core import data_loader
  
      __all__ = [
          'Trainer',
          'LightningModule',
          'Callback',
          'data_loader'
      ]
      # __call__ = __all__
  
subject: Update __init__.py