





from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


UpperCamelCase_												=	logging.get_logger(__name__)

UpperCamelCase_												=	'T5Config'

class     snake_case_		(   a_							):






 '''simple docstring'''





 __UpperCamelCase       =      '''mt5'''
 __UpperCamelCase       =      MTaConfig

class     snake_case_		(   a_							):






 '''simple docstring'''





 __UpperCamelCase       =      '''mt5'''
 __UpperCamelCase       =      MTaConfig

class     snake_case_		(   a_							):






 '''simple docstring'''





 __UpperCamelCase       =      '''mt5'''
 __UpperCamelCase       =      MTaConfig







'''simple docstring'''





import re

from filelock import FileLock


try:
					import nltk

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

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






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: str ):






			"""simple docstring"""




			re.sub('<n>','',_SCREAMING_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(_SCREAMING_SNAKE_CASE ) )



