





'''simple docstring'''






import string
from math import logaa






def      __A						(							a_						:  str      ,a_						:  str	):
		lowerCAmelCase     :    List[str]						=   document.translate(
		    str.maketrans(""      ,""      ,string.punctuation	)	).replace("\n"      ,""	)
		lowerCAmelCase     :    Union[str, Any]						=   document_without_punctuation.split(" "	)  # word tokenization
		return len([word for word in tokenize_document if word.lower() == term.lower()]	)






def      __A						(							a_						:  str      ,a_						:  str	):
		lowerCAmelCase     :    List[str]						=   corpus.lower().translate(
		    str.maketrans(""      ,""      ,string.punctuation	)	)  # strip all punctuation and replace it with ''
		lowerCAmelCase     :    Dict						=   corpus_without_punctuation.split("\n"	)
		lowerCAmelCase     :    Optional[Any]						=   term.lower()
		return (len([doc for doc in docs if term in doc]	), len(a_	))






def      __A						(							a_						:  int      ,a_						:  int      ,a_						:  List[Any]=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      __A						(							a_						:  int      ,a_						:  int	):
		return round(tf * idf      ,3	)










'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


lowerCAmelCase       		=      logging.get_logger(__name__)
class 		lowerCamelCase  (      _A       ):



	def __init__(   self		,      *a_		,      **a_	):
			warnings.warn(
			    "The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
			    " Please use ChineseCLIPImageProcessor instead."		,      a_		,      )
			super().__init__(*a_		,      **a_	)



