




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_lowerCAmelCase  :      List[Any]						=      {
    'configuration_blenderbot_small': [
        'BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlenderbotSmallConfig',
        'BlenderbotSmallOnnxConfig',
    ],
    'tokenization_blenderbot_small': ['BlenderbotSmallTokenizer'],
}

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase  :      str						=      ['BlenderbotSmallTokenizerFast']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase  :      int						=      [
      'BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST',
      'BlenderbotSmallForCausalLM',
      'BlenderbotSmallForConditionalGeneration',
      'BlenderbotSmallModel',
      'BlenderbotSmallPreTrainedModel',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase  :      List[str]						=      [
      'TFBlenderbotSmallForConditionalGeneration',
      'TFBlenderbotSmallModel',
      'TFBlenderbotSmallPreTrainedModel',
  ]

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase  :      Any						=      [
      'FlaxBlenderbotSmallForConditionalGeneration',
      'FlaxBlenderbotSmallModel',
      'FlaxBlenderbotSmallPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_blenderbot_small import (
      BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
      BlenderbotSmallConfig,
      BlenderbotSmallOnnxConfig,
  )
  from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_blenderbot_small import (
        BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
        BlenderbotSmallForCausalLM,
        BlenderbotSmallForConditionalGeneration,
        BlenderbotSmallModel,
        BlenderbotSmallPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_blenderbot_small import (
        TFBlenderbotSmallForConditionalGeneration,
        TFBlenderbotSmallModel,
        TFBlenderbotSmallPreTrainedModel,
    )

  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flax_blenderbot_small import (
        FlaxBlenderbotSmallForConditionalGeneration,
        FlaxBlenderbotSmallModel,
        FlaxBlenderbotSmallPreTrainedModel,
    )

else:
  import sys

  _lowerCAmelCase  :      Optional[int]						=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)











import re

from filelock import FileLock


try:
   import nltk

   lowerCamelCase__ :   str					=							True
except (ImportError, ModuleNotFoundError):
   lowerCamelCase__ :   Union[str, Any]					=							False

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

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	str							)					-> str:
      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							)							)