





import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class        _a    (    UpperCamelCase__						,			unittest.TestCase):

      """simple docstring"""


      UpperCamelCase__  		=       OpenAIGPTTokenizer
      UpperCamelCase__  		=       OpenAIGPTTokenizerFast
      UpperCamelCase__  		=       True
      UpperCamelCase__  		=       False






      def 			UpperCAmelCase_       (		self:			Optional[Any]					):
          '''simple docstring'''


          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          UpperCamelCase__:	Optional[int]					=     [
              "l",
              "o",
              "w",
              "e",
              "r",
              "s",
              "t",
              "i",
              "d",
              "n",
              "w</w>",
              "r</w>",
              "t</w>",
              "lo",
              "low",
              "er</w>",
              "low</w>",
              "lowest</w>",
              "newer</w>",
              "wider</w>",
              "<unk>",
          ]
          UpperCamelCase__:	Tuple					=     dict(zip(__lowerCamelCase	,    range(len(__lowerCamelCase					)					)					)					)
          UpperCamelCase__:	Union[str, Any]					=     ["#version: 0.2", "l o", "lo w", "e r</w>", ""]

          UpperCamelCase__:	Dict					=     os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["vocab_file"]					)
          UpperCamelCase__:	str					=     os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["merges_file"]					)
          with open(self.vocab_file	,    "w"					) as fp:
              fp.write(json.dumps(__lowerCamelCase					)					)
          with open(self.merges_file	,    "w"					) as fp:
              fp.write("\n".join(__lowerCamelCase					)					)






      def 			UpperCAmelCase_       (		self:			Dict	,    __lowerCamelCase:			Optional[int]					):
          '''simple docstring'''


          return "lower newer", "lower newer"






      def 			UpperCAmelCase_       (		self:			Dict					):
          '''simple docstring'''


          UpperCamelCase__:	List[str]					=     OpenAIGPTTokenizer(self.vocab_file	,    self.merges_file					)

          UpperCamelCase__:	List[Any]					=     "lower"
          UpperCamelCase__:	Any					=     ["low", "er</w>"]
          UpperCamelCase__:	int					=     tokenizer.tokenize(__lowerCamelCase					)
          self.assertListEqual(__lowerCamelCase	,    __lowerCamelCase					)

          UpperCamelCase__:	int					=     tokens + ["<unk>"]
          UpperCamelCase__:	List[Any]					=     [14, 15, 20]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase					)	,    __lowerCamelCase					)






      def 			UpperCAmelCase_       (		self:			Union[str, Any]	,    __lowerCamelCase:			Union[str, Any]=15					):
          '''simple docstring'''


          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"					):
                  UpperCamelCase__:	Optional[Any]					=     self.rust_tokenizer_class.from_pretrained(__lowerCamelCase	,    **__lowerCamelCase					)

                  # Simple input
                  UpperCamelCase__:	Optional[int]					=     "This is a simple input"
                  UpperCamelCase__:	Optional[Any]					=     ["This is a simple input 1", "This is a simple input 2"]
                  UpperCamelCase__:	Optional[int]					=     ("This is a simple input", "This is a pair")
                  UpperCamelCase__:	List[Any]					=     [
                      ("This is a simple input 1", "This is a simple input 2"),
                      ("This is a simple pair 1", "This is a simple pair 2"),
                  ]

                  # Simple input tests
                  self.assertRaises(__lowerCamelCase	,    tokenizer_r.encode	,    __lowerCamelCase	,    max_length=__lowerCamelCase	,    padding="max_length"					)

                  # Simple input
                  self.assertRaises(__lowerCamelCase	,    tokenizer_r.encode_plus	,    __lowerCamelCase	,    max_length=__lowerCamelCase	,    padding="max_length"					)

                  # Simple input
                  self.assertRaises(
                      __lowerCamelCase	,    tokenizer_r.batch_encode_plus	,    __lowerCamelCase	,    max_length=__lowerCamelCase	,    padding="max_length"	,    )

                  # Pair input
                  self.assertRaises(__lowerCamelCase	,    tokenizer_r.encode	,    __lowerCamelCase	,    max_length=__lowerCamelCase	,    padding="max_length"					)

                  # Pair input
                  self.assertRaises(__lowerCamelCase	,    tokenizer_r.encode_plus	,    __lowerCamelCase	,    max_length=__lowerCamelCase	,    padding="max_length"					)

                  # Pair input
                  self.assertRaises(
                      __lowerCamelCase	,    tokenizer_r.batch_encode_plus	,    __lowerCamelCase	,    max_length=__lowerCamelCase	,    padding="max_length"	,    )






      def 			UpperCAmelCase_       (		self:			List[Any]					):
          '''simple docstring'''


          pass




@require_ftfy
@require_spacy
@require_tokenizers
class        _a    (    UpperCamelCase__):

      """simple docstring"""


      pass








from __future__ import annotations

from typing import Any




class        _a    :

      """simple docstring"""


      def __init__(		self:			Optional[int]	,    __lowerCamelCase:			int					):
          '''simple docstring'''


          UpperCamelCase__:	Optional[Any]					=     num_of_nodes
          UpperCamelCase__:	list[list[int]]					=     []
          UpperCamelCase__:	dict[int, int]					=     {}






      def 			UpperCAmelCase_       (		self:			Any	,    __lowerCamelCase:			int	,    __lowerCamelCase:			int	,    __lowerCamelCase:			int					):
          '''simple docstring'''


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






      def 			UpperCAmelCase_       (		self:			Dict	,    __lowerCamelCase:			int					):
          '''simple docstring'''


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






      def 			UpperCAmelCase_       (		self:			str	,    __lowerCamelCase:			int					):
          '''simple docstring'''


          if self.m_component[u_node] != u_node:
              for k in self.m_component:
                  UpperCamelCase__:	Dict					=     self.find_component(__lowerCamelCase					)






      def 			UpperCAmelCase_       (		self:			str	,    __lowerCamelCase:			list[int]	,    __lowerCamelCase:			int	,    __lowerCamelCase:			int					):
          '''simple docstring'''


          if component_size[u_node] <= component_size[v_node]:
              UpperCamelCase__:	List[str]					=     v_node
              component_size[v_node] += component_size[u_node]
              self.set_component(__lowerCamelCase					)

          elif component_size[u_node] >= component_size[v_node]:
              UpperCamelCase__:	Any					=     self.find_component(__lowerCamelCase					)
              component_size[u_node] += component_size[v_node]
              self.set_component(__lowerCamelCase					)






      def 			UpperCAmelCase_       (		self:			Tuple					):
          '''simple docstring'''


          UpperCamelCase__:	Optional[int]					=     []
          UpperCamelCase__:	Optional[int]					=     0

          UpperCamelCase__:	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					)

          UpperCamelCase__:	Optional[int]					=     self.m_num_of_nodes

          while num_of_components > 1:
              for edge in self.m_edges:
                  UpperCamelCase__				, UpperCamelCase__				, UpperCamelCase__:	List[str]					=     edge

                  UpperCamelCase__:	List[Any]					=     self.m_component[u]
                  UpperCamelCase__:	Tuple					=     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
                          ):
                              UpperCamelCase__:	Any					=     [u, v, w]

              for edge in minimum_weight_edge:
                  if isinstance(__lowerCamelCase	,    __lowerCamelCase					):
                      UpperCamelCase__				, UpperCamelCase__				, UpperCamelCase__:	List[str]					=     edge

                      UpperCamelCase__:	Tuple					=     self.m_component[u]
                      UpperCamelCase__:	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

              UpperCamelCase__:	List[Any]					=     [-1] * self.m_num_of_nodes
          print(F"The total weight of the minimal spanning tree is: {mst_weight}"					)



def 				lowerCAmelCase_ (							):
    pass


if __name__ == "__main__":
   import doctest

   doctest.testmod()

