


"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case							:     int   =					{'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:     List[str]   =					[
	    'WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'WavLMForAudioFrameClassification',
	    'WavLMForCTC',
	    'WavLMForSequenceClassification',
	    'WavLMForXVector',
	    'WavLMModel',
	    'WavLMPreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_wavlm import (
		    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    WavLMForAudioFrameClassification,
		    WavLMForCTC,
		    WavLMForSequenceClassification,
		    WavLMForXVector,
		    WavLMModel,
		    WavLMPreTrainedModel,
		)

else:
	import sys

	__snake_case							:     Union[str, Any]   =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




"""simple docstring"""






import re

from filelock import FileLock


try:
	import nltk

	__snake_case							:     Any   =					True
except (ImportError, ModuleNotFoundError):
	__snake_case							:     Optional[int]   =					False

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


def     _lowercase       (						__snake_case			)		->     str:
			re.sub("<n>"      ,""      ,__snake_case			)  # 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(__snake_case			)			)