
'''simple docstring'''







import string
from math import logaa







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			int:
	_snake_case     		=	document.translate(
	    str.maketrans(''    ,       ''    ,       string.punctuation			)			).replace('\n'    ,       ''			)
	_snake_case     		=	document_without_punctuation.split(' '			)  # word tokenization
	return len([word for word in tokenize_document if word.lower() == term.lower()]			)







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			tuple[int, int]:
	_snake_case     		=	corpus.lower().translate(
	    str.maketrans(''    ,       ''    ,       string.punctuation			)			)  # strip all punctuation and replace it with ''
	_snake_case     		=	corpus_without_punctuation.split('\n'			)
	_snake_case     		=	term.lower()
	return (len([doc for doc in docs if term in doc]			), len(__A			))







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A    ,       __A=False			) ->			float:
	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        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			float:
	return round(tf * idf    ,       3			)



'''simple docstring'''







import math







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			float:
	if (
	    not isinstance(__A    ,       (int, float)			)
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError('power_factor must be a valid float value between -1 and 1.'			)
	return apparent_power * power_factor







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			float:
	if (
	    not isinstance(__A    ,       (int, float)			)
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError('power_factor must be a valid float value between -1 and 1.'			)
	return apparent_power * math.sqrt(1 - power_factor**2			)


if __name__ == "__main__":
					import doctest

					doctest.testmod()

