
"""simple docstring"""





import string
from math import logaa







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Optional[Any]			     =    document.translate(
       str.maketrans("",		"",		string.punctuation  )  ).replace("\n",		""  )
   UpperCAmelCase_					:					str			     =    document_without_punctuation.split(" "  )  # word tokenization
   return len([word for word in tokenize_document if word.lower() == term.lower()]  )







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







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase=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     (		__lowerCamelCase,		__lowerCamelCase  ):
   return round(tf * idf,		3  )




"""simple docstring"""





from collections import namedtuple

_a		       =							namedtuple('from_to', 'from_ to')

_a		       =							{
    'cubicmeter': from_to(1, 1),
    'litre': from_to(0.001, 1_000),
    'kilolitre': from_to(1, 1),
    'gallon': from_to(0.0_0454, 264.172),
    'cubicyard': from_to(0.7_6455, 1.3_0795),
    'cubicfoot': from_to(0.028, 35.3147),
    'cup': from_to(0.0_0023_6588, 4226.75),
}







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   if from_type not in METRIC_CONVERSION:
      raise ValueError(
          f"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
          + ", ".join(__lowerCamelCase  )  )
   if to_type not in METRIC_CONVERSION:
      raise ValueError(
          f"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
          + ", ".join(__lowerCamelCase  )  )
   return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
    import doctest

    doctest.testmod()


