

"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_a							=							{
    'configuration_groupvit': [
        'GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'GroupViTConfig',
        'GroupViTOnnxConfig',
        'GroupViTTextConfig',
        'GroupViTVisionConfig',
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _a							=							[
          'GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
          'GroupViTModel',
          'GroupViTPreTrainedModel',
          'GroupViTTextModel',
          'GroupViTVisionModel',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _a							=							[
          'TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
          'TFGroupViTModel',
          'TFGroupViTPreTrainedModel',
          'TFGroupViTTextModel',
          'TFGroupViTVisionModel',
      ]

if TYPE_CHECKING:
      from .configuration_groupvit import (
          GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
          GroupViTConfig,
          GroupViTOnnxConfig,
          GroupViTTextConfig,
          GroupViTVisionConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_groupvit import (
                GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                GroupViTModel,
                GroupViTPreTrainedModel,
                GroupViTTextModel,
                GroupViTVisionModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_groupvit import (
                TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFGroupViTModel,
                TFGroupViTPreTrainedModel,
                TFGroupViTTextModel,
                TFGroupViTVisionModel,
            )

else:
      import sys

      _a							=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







"""simple docstring"""





import re

from filelock import FileLock


try:
   import nltk

   _a							=							True
except (ImportError, ModuleNotFoundError):
   _a							=							False

if NLTK_AVAILABLE:
   with FileLock('.lock') as lock:
      nltk.download('punkt', quiet=True)




def   _A  (  UpperCamelCase_					:	str)     ->						str:
   '''simple docstring'''


   re.sub("<n>",      "",      UpperCamelCase_)  # remove pegasus newline char
   assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
   return "\n".join(nltk.sent_tokenize(UpperCamelCase_))




