






"""simple docstring"""



import string
from math import logaa



def 						lowercase    (				__snake_case				: str		,					__snake_case				: str	):
		lowercase_ : Union[str, Any]							       =   document.translate(
		    str.maketrans(''''''		,					''''''		,					string.punctuation	)	).replace('''\n'''		,					''''''	)
		lowercase_ : str							       =   document_without_punctuation.split(''' '''	)  # word tokenization
		return len([word for word in tokenize_document if word.lower() == term.lower()]	)



def 						lowercase    (				__snake_case				: str		,					__snake_case				: str	):
		lowercase_ : Union[str, Any]							       =   corpus.lower().translate(
		    str.maketrans(''''''		,					''''''		,					string.punctuation	)	)  # strip all punctuation and replace it with ''
		lowercase_ : Optional[Any]							       =   corpus_without_punctuation.split('''\n'''	)
		lowercase_ : Tuple							       =   term.lower()
		return (len([doc for doc in docs if term in doc]	), len(__snake_case	))



def 						lowercase    (				__snake_case				: int		,					__snake_case				: int		,					__snake_case				: int=False	):
		if smoothing:
				if n == 0:
						raise ValueError('''log10(0) is undefined.'''	)
				return round(1 + logaa(n / (1 + df)	)		,					3	)

		if df == 0:
				raise ZeroDivisionError('''df must be > 0'''	)
		elif n == 0:
				raise ValueError('''log10(0) is undefined.'''	)
		return round(logaa(n / df	)		,					3	)






def 						lowercase    (				__snake_case				: int		,					__snake_case				: int	):
		return round(tf * idf		,					3	)











"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__A		:       Union[str, Any]  				=		{}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''NllbTokenizer''']

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''NllbTokenizerFast''']


if TYPE_CHECKING:
						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_nllb import NllbTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_nllb_fast import NllbTokenizerFast

else:
						import sys

						__A		:       List[Any]  				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



