

'''simple docstring'''



import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin



class lowerCamelCase			(  lowercase_	,						unittest.TestCase						):



			'''simple docstring'''






			__snake_case        =	ProphetNetTokenizer
			__snake_case        =	False


			def lowercase__						(				self	:						Optional[Any]			)      ->		Optional[Any]:





									'''simple docstring'''
									super().setUp()

									A__					:       Union[str, Any]     =[
									    """[UNK]""",
									    """[CLS]""",
									    """[SEP]""",
									    """[PAD]""",
									    """[MASK]""",
									    """want""",
									    """##want""",
									    """##ed""",
									    """wa""",
									    """un""",
									    """runn""",
									    """##ing""",
									    """,""",
									    """low""",
									    """lowest""",
									]
									A__					:       int     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]			)
									with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""			) as vocab_writer:
															vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]			)			)


			def lowercase__						(				self	:						Tuple		,      lowerCAmelCase_	:						Optional[int]			)      ->		List[str]:





									'''simple docstring'''
									A__					:       Optional[Any]     ="""UNwant\u00E9d,running"""
									A__					:       str     ="""unwanted, running"""
									return input_text, output_text


			def lowercase__						(				self	:						Union[str, Any]			)      ->		Optional[int]:





									'''simple docstring'''
									A__					:       Union[str, Any]     =self.tokenizer_class(self.vocab_file			)

									A__					:       Optional[int]     =tokenizer.tokenize("""UNwant\u00E9d,running"""			)
									self.assertListEqual(lowerCAmelCase_		,      ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]			)
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_			)		,      [9, 6, 7, 12, 10, 11]			)


			def lowercase__						(				self	:						Tuple			)      ->		str:





									'''simple docstring'''
									A__					:       Optional[Any]     =BasicTokenizer()

									self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""			)		,      ["""ah""", """\u535A""", """\u63A8""", """zz"""]			)


			def lowercase__						(				self	:						str			)      ->		Dict:





									'''simple docstring'''
									A__					:       Optional[int]     =BasicTokenizer(do_lower_case=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """			)		,      ["""hello""", """!""", """how""", """are""", """you""", """?"""]			)
									self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""			)		,      ["""hello"""]			)


			def lowercase__						(				self	:						Optional[Any]			)      ->		Dict:





									'''simple docstring'''
									A__					:       Tuple     =BasicTokenizer(do_lower_case=lowerCAmelCase_		,      strip_accents=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """			)		,      ["""hällo""", """!""", """how""", """are""", """you""", """?"""]			)
									self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""			)		,      ["""h\u00E9llo"""]			)


			def lowercase__						(				self	:						Optional[Any]			)      ->		List[str]:





									'''simple docstring'''
									A__					:       Union[str, Any]     =BasicTokenizer(do_lower_case=lowerCAmelCase_		,      strip_accents=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """			)		,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]			)
									self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""			)		,      ["""hello"""]			)


			def lowercase__						(				self	:						str			)      ->		str:





									'''simple docstring'''
									A__					:       List[str]     =BasicTokenizer(do_lower_case=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """			)		,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]			)
									self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""			)		,      ["""hello"""]			)


			def lowercase__						(				self	:						Dict			)      ->		Dict:





									'''simple docstring'''
									A__					:       str     =BasicTokenizer(do_lower_case=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """			)		,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]			)


			def lowercase__						(				self	:						str			)      ->		str:





									'''simple docstring'''
									A__					:       List[Any]     =BasicTokenizer(do_lower_case=lowerCAmelCase_		,      strip_accents=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """			)		,      ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]			)


			def lowercase__						(				self	:						int			)      ->		int:





									'''simple docstring'''
									A__					:       Any     =BasicTokenizer(do_lower_case=lowerCAmelCase_		,      strip_accents=lowerCAmelCase_			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """			)		,      ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]			)


			def lowercase__						(				self	:						List[str]			)      ->		Any:





									'''simple docstring'''
									A__					:       int     =BasicTokenizer(do_lower_case=lowerCAmelCase_		,      never_split=["""[UNK]"""]			)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""			)		,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]			)


			def lowercase__						(				self	:						int			)      ->		str:





									'''simple docstring'''
									A__					:       List[str]     =["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

									A__					:       Union[str, Any]     ={}
									for i, token in enumerate(lowerCAmelCase_			):
															A__					:       int     =i
									A__					:       List[Any]     =WordpieceTokenizer(vocab=lowerCAmelCase_		,      unk_token="""[UNK]"""			)

									self.assertListEqual(tokenizer.tokenize(""""""			)		,      []			)

									self.assertListEqual(tokenizer.tokenize("""unwanted running"""			)		,      ["""un""", """##want""", """##ed""", """runn""", """##ing"""]			)

									self.assertListEqual(tokenizer.tokenize("""unwantedX running"""			)		,      ["""[UNK]""", """runn""", """##ing"""]			)


			@require_torch
			def lowercase__						(				self	:						List[Any]			)      ->		Dict:





									'''simple docstring'''
									A__					:       Dict     =self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""			)

									A__					:       int     =["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
									A__					:       List[str]     =[10_37, 21_46, 2_04_23, 20_05, 76_80, 78_49, 39_89, 10_12, 1_02]
									A__					:       int     =tokenizer(lowerCAmelCase_		,      padding=lowerCAmelCase_		,      return_tensors="""pt"""			)
									self.assertIsInstance(lowerCAmelCase_		,      lowerCAmelCase_			)
									A__					:       int     =list(batch.input_ids.numpy()[0]			)
									self.assertListEqual(lowerCAmelCase_		,      lowerCAmelCase_			)

									self.assertEqual((2, 9)		,      batch.input_ids.shape			)
									self.assertEqual((2, 9)		,      batch.attention_mask.shape			)


			def lowercase__						(				self	:						Tuple			)      ->		List[Any]:





									'''simple docstring'''
									self.assertTrue(_is_whitespace(""" """			)			)
									self.assertTrue(_is_whitespace("""\t"""			)			)
									self.assertTrue(_is_whitespace("""\r"""			)			)
									self.assertTrue(_is_whitespace("""\n"""			)			)
									self.assertTrue(_is_whitespace("""\u00A0"""			)			)

									self.assertFalse(_is_whitespace("""A"""			)			)
									self.assertFalse(_is_whitespace("""-"""			)			)


			def lowercase__						(				self	:						Optional[int]			)      ->		int:





									'''simple docstring'''
									self.assertTrue(_is_control("""\u0005"""			)			)

									self.assertFalse(_is_control("""A"""			)			)
									self.assertFalse(_is_control(""" """			)			)
									self.assertFalse(_is_control("""\t"""			)			)
									self.assertFalse(_is_control("""\r"""			)			)


			def lowercase__						(				self	:						int			)      ->		List[str]:





									'''simple docstring'''
									self.assertTrue(_is_punctuation("""-"""			)			)
									self.assertTrue(_is_punctuation("""$"""			)			)
									self.assertTrue(_is_punctuation("""`"""			)			)
									self.assertTrue(_is_punctuation("""."""			)			)

									self.assertFalse(_is_punctuation("""A"""			)			)
									self.assertFalse(_is_punctuation(""" """			)			)



			@slow
			def lowercase__						(				self	:						List[Any]			)      ->		List[Any]:





									'''simple docstring'''
									A__					:       Any     =self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""			)

									A__					:       Tuple     =tokenizer.encode("""sequence builders"""		,      add_special_tokens=lowerCAmelCase_			)
									A__					:       Dict     =tokenizer.encode("""multi-sequence build"""		,      add_special_tokens=lowerCAmelCase_			)

									A__					:       Tuple     =tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_			)
									A__					:       List[Any]     =tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_		,      lowerCAmelCase_			)

									assert encoded_sentence == text + [1_02]
									assert encoded_pair == text + [1_02] + text_a + [1_02]




'''simple docstring'''



from __future__ import annotations

from typing import Any



class lowerCamelCase			:



			'''simple docstring'''






			def __init__(				self	:						List[str]		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''
									A__					:       Any     =num_of_nodes
									A__					:       list[list[int]]     =[]
									A__					:       dict[int, int]     ={}


			def lowercase__						(				self	:						Optional[Any]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''
									self.m_edges.append([u_node, v_node, weight]			)


			def lowercase__						(				self	:						int		,      lowerCAmelCase_	:						int			)      ->		int:





									'''simple docstring'''

									if self.m_component[u_node] == u_node:
															return u_node
									return self.find_component(self.m_component[u_node]			)


			def lowercase__						(				self	:						Optional[int]		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''

									if self.m_component[u_node] != u_node:
															for k in self.m_component:
																					A__					:       str     =self.find_component(lowerCAmelCase_			)


			def lowercase__						(				self	:						int		,      lowerCAmelCase_	:						list[int]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''

									if component_size[u_node] <= component_size[v_node]:
															A__					:       int     =v_node
															component_size[v_node] += component_size[u_node]
															self.set_component(lowerCAmelCase_			)

									elif component_size[u_node] >= component_size[v_node]:
															A__					:       List[str]     =self.find_component(lowerCAmelCase_			)
															component_size[u_node] += component_size[v_node]
															self.set_component(lowerCAmelCase_			)



			def lowercase__						(				self	:						str			)      ->		None:





									'''simple docstring'''
									A__					:       Union[str, Any]     =[]
									A__					:       List[str]     =0

									A__					:       list[Any]     =[-1] * self.m_num_of_nodes

									# A list of components (initialized to all of the nodes)
									for node in range(self.m_num_of_nodes			):
															self.m_component.update({node: node}			)
															component_size.append(1			)

									A__					:       List[str]     =self.m_num_of_nodes

									while num_of_components > 1:
															for edge in self.m_edges:
																					A__   ,						A__   ,						A__					:       Any     =edge

																					A__					:       Tuple     =self.m_component[u]
																					A__					:       Optional[Any]     =self.m_component[v]

																					if u_component != v_component:

																											for component in (u_component, v_component):
																																	if (
																																	    minimum_weight_edge[component] == -1
																																	    or minimum_weight_edge[component][2] > w
																																	):
																																							A__					:       Optional[int]     =[u, v, w]

															for edge in minimum_weight_edge:
																					if isinstance(lowerCAmelCase_		,      lowerCAmelCase_			):
																											A__   ,						A__   ,						A__					:       Tuple     =edge

																											A__					:       Any     =self.m_component[u]
																											A__					:       Optional[Any]     =self.m_component[v]

																											if u_component != v_component:
																																	mst_weight += w
																																	self.union(lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_			)
																																	print(f"Added edge [{u} - {v}]\nAdded weight: {w}\n"			)
																																	num_of_components -= 1

															A__					:       int     =[-1] * self.m_num_of_nodes
									print(f"The total weight of the minimal spanning tree is: {mst_weight}"			)


def 						__lowerCamelCase	(       )	->							None:






						"""simple docstring"""







if __name__ == "__main__":
		import doctest

		doctest.testmod()

