


'''simple docstring'''

import string
from math import logaa






def __UpperCamelCase   (			__lowerCamelCase		: str      ,  __lowerCamelCase		: str				)      ->     int:







					'''simple docstring'''






					_a						=		document.translate(
					    str.maketrans(""      ,  ""      ,  string.punctuation				)				).replace("\n"      ,  ""				)
					_a						=		document_without_punctuation.split(" "				)  # word tokenization
					return len([word for word in tokenize_document if word.lower() == term.lower()]				)






def __UpperCamelCase   (			__lowerCamelCase		: str      ,  __lowerCamelCase		: str				)      ->     tuple[int, int]:







					'''simple docstring'''






					_a						=		corpus.lower().translate(
					    str.maketrans(""      ,  ""      ,  string.punctuation				)				)  # strip all punctuation and replace it with ''
					_a						=		corpus_without_punctuation.split("\n"				)
					_a						=		term.lower()
					return (len([doc for doc in docs if term in doc]				), len(UpperCamelCase__				))






def __UpperCamelCase   (			__lowerCamelCase		: int      ,  __lowerCamelCase		: int      ,  __lowerCamelCase		: Any=False				)      ->     float:







					'''simple docstring'''






					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 __UpperCamelCase   (			__lowerCamelCase		: int      ,  __lowerCamelCase		: int				)      ->     float:







					'''simple docstring'''






					return round(tf * idf      ,  3				)





'''simple docstring'''

from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst






def __UpperCamelCase   (			)      ->     Tuple:







     '''simple docstring'''






     _a			,			_a						=		9, 14  # noqa: F841
     _a						=		[
         [0, 1, 4],
         [0, 7, 8],
         [1, 2, 8],
         [7, 8, 7],
         [7, 6, 1],
         [2, 8, 2],
         [8, 6, 6],
         [2, 3, 7],
         [2, 5, 4],
         [6, 5, 2],
         [3, 5, 14],
         [3, 4, 9],
         [5, 4, 10],
         [1, 7, 11],
     ]

     _a						=		defaultdict(__lowerCamelCase				)
     for nodea, nodea, cost in edges:
          adjancency[nodea].append([nodea, cost]				)
          adjancency[nodea].append([nodea, cost]				)

     _a						=		mst(__lowerCamelCase				)

     _a						=		[
         [7, 6, 1],
         [2, 8, 2],
         [6, 5, 2],
         [0, 1, 4],
         [2, 5, 4],
         [2, 3, 7],
         [0, 7, 8],
         [3, 4, 9],
     ]

     for answer in expected:
          _a						=		tuple(answer[:2]				)
          _a						=		tuple(edge[::-1]				)
          assert edge in result or reverse in result

