






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A					=	{
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __A					=	[
       "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
       "ClapModel",
       "ClapPreTrainedModel",
       "ClapTextModel",
       "ClapTextModelWithProjection",
       "ClapAudioModel",
       "ClapAudioModelWithProjection",
   ]
   __A					=	["ClapFeatureExtractor"]

if TYPE_CHECKING:
   from .configuration_clap import (
       CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
       ClapAudioConfig,
       ClapConfig,
       ClapTextConfig,
   )
   from .processing_clap import ClapProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_clap import ClapFeatureExtractor
      from .modeling_clap import (
          CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
          ClapAudioModel,
          ClapAudioModelWithProjection,
          ClapModel,
          ClapPreTrainedModel,
          ClapTextModel,
          ClapTextModelWithProjection,
      )


else:
   import sys

   __A					=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









'''simple docstring'''

import re

from filelock import FileLock


try:
							import nltk

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

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



def 	__lowerCamelCase	( lowerCAmelCase_    )     -> str:
		re.sub('<n>'		,     ''		,     lowerCAmelCase_    )  # 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(lowerCAmelCase_    )    )




