






import unittest

from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


snake_case__   :						Optional[int]													=   get_tests_dir("""fixtures/test_sentencepiece.model""")
snake_case__   :						Dict													=   get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")

snake_case__   :						Tuple													=   """pt""" if is_torch_available() else """tf"""


@require_sentencepiece
@require_tokenizers
class     _a							(	UpperCAmelCase__    ,							unittest.TestCase     ):






  """simple docstring"""





  A_						       = CamembertTokenizer
  A_						       = CamembertTokenizerFast
  A_						       = True
  A_						       = True




  def  _UpperCAmelCase  (  self			)      ->			Dict:
     super().setUp()

     # We have a SentencePiece fixture for testing
     UpperCamelCase_						=  CamembertTokenizer(_UpperCAmelCase			)
     tokenizer.save_pretrained(self.tmpdirname			)




  def  _UpperCAmelCase  (  self			)      ->			Dict:
     UpperCamelCase_						=  '<pad>'
     UpperCamelCase_						=  1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase			)		,		_UpperCAmelCase			)
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase			)		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			List[str]:
     UpperCamelCase_						=  list(self.get_tokenizer().get_vocab().keys()			)

     self.assertEqual(vocab_keys[0]		,		'<s>NOTUSED'			)
     self.assertEqual(vocab_keys[1]		,		'<pad>'			)
     self.assertEqual(vocab_keys[-1]		,		'<mask>'			)
     self.assertEqual(len(_UpperCAmelCase			)		,		1004			)




  def  _UpperCAmelCase  (  self			)      ->			List[str]:
     self.assertEqual(self.get_tokenizer().vocab_size		,		1005			)




  def  _UpperCAmelCase  (  self			)      ->			Optional[int]:
     UpperCamelCase_						=  CamembertTokenizer(_UpperCAmelCase			)
     tokenizer.save_pretrained(self.tmpdirname			)
     UpperCamelCase_						=  CamembertTokenizerFast.from_pretrained(self.tmpdirname			)

     UpperCamelCase_						=  'I was born in 92000, and this is falsé.'

     UpperCamelCase_						=  tokenizer.encode(_UpperCAmelCase			)
     UpperCamelCase_						=  rust_tokenizer.encode(_UpperCAmelCase			)
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase			)

     UpperCamelCase_						=  tokenizer.encode(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase			)
     UpperCamelCase_						=  rust_tokenizer.encode(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase			)
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase			)

     # <unk> tokens are not the same for `rust` than for `slow`.
     # Because spm gives back raw token instead of `unk` in EncodeAsPieces
     # tokens = tokenizer.tokenize(sequence)
     UpperCamelCase_						=  tokenizer.convert_ids_to_tokens(_UpperCAmelCase			)
     UpperCamelCase_						=  rust_tokenizer.tokenize(_UpperCAmelCase			)
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			Any:
     if not self.test_rust_tokenizer:
        return

     UpperCamelCase_						=  self.get_tokenizer()
     UpperCamelCase_						=  self.get_rust_tokenizer()

     UpperCamelCase_						=  'I was born in 92000, and this is falsé.'

     UpperCamelCase_						=  tokenizer.tokenize(_UpperCAmelCase			)
     UpperCamelCase_						=  rust_tokenizer.tokenize(_UpperCAmelCase			)
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase			)

     UpperCamelCase_						=  tokenizer.encode(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase			)
     UpperCamelCase_						=  rust_tokenizer.encode(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase			)
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase			)

     UpperCamelCase_						=  self.get_rust_tokenizer()
     UpperCamelCase_						=  tokenizer.encode(_UpperCAmelCase			)
     UpperCamelCase_						=  rust_tokenizer.encode(_UpperCAmelCase			)
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase			)




  @slow
  def  _UpperCAmelCase  (  self			)      ->			Optional[int]:
     # fmt: off
     UpperCamelCase_						=  {'input_ids': [[5, 54, 7196, 297, 30, 23, 776, 18, 11, 3215, 3705, 8252, 22, 3164, 1181, 2116, 29, 16, 813, 25, 791, 3314, 20, 3446, 38, 27575, 120, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 468, 17, 11, 9088, 20, 1517, 8, 22804, 18818, 10, 38, 629, 607, 607, 142, 19, 7196, 867, 56, 10326, 24, 2267, 20, 416, 5072, 15612, 233, 734, 7, 2399, 27, 16, 3015, 1649, 7, 24, 20, 4338, 2399, 27, 13, 3400, 14, 13, 6189, 8, 930, 9, 6]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
     # fmt: on

     # camembert is a french model. So we also use french texts.
     UpperCamelCase_						=  [
         'Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '
         'utilisé principalement dans le domaine du traitement automatique des langues (TAL).',
         'À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '
         'pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '
         'telles que la traduction et la synthèse de texte.',
     ]

     self.tokenizer_integration_test_util(
         expected_encoding=_UpperCAmelCase		,		model_name='camembert-base'		,		revision='3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf'		,		sequences=_UpperCAmelCase		,		)













from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

snake_case__   :						List[str]													=   TypeVar("""T""")






def      _snake_case     (__lowercase):
   return (position - 1) // 2






def      _snake_case     (__lowercase):
   return (2 * position) + 1






def      _snake_case     (__lowercase):
   return (2 * position) + 2


class     _a							(	Generic[T]     ):






  """simple docstring"""





  def __init__(  self			)      ->			None:
     UpperCamelCase_						=  []
     UpperCamelCase_						=  {}
     UpperCamelCase_						=  0




  def __len__(  self			)      ->			int:
     return self.elements




  def __repr__(  self			)      ->			str:
     return str(self.heap			)




  def  _UpperCAmelCase  (  self			)      ->			bool:
     # Check if the priority queue is empty
     return self.elements == 0




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase			)      ->			None:
     # Add an element with given priority to the queue
     self.heap.append((elem, weight)			)
     UpperCamelCase_						=  self.elements
     self.elements += 1
     self._bubble_up(_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			T:
     # Remove and return the element with lowest weight (highest priority)
     if self.elements > 1:
        self._swap_nodes(0		,		self.elements - 1			)
     UpperCamelCase_		,   UpperCamelCase_						=  self.heap.pop()
     del self.position_map[elem]
     self.elements -= 1
     if self.elements > 0:
        UpperCamelCase_		,   UpperCamelCase_						=  self.heap[0]
        self._bubble_down(_UpperCAmelCase			)
     return elem




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase			)      ->			None:
     # Update the weight of the given key
     UpperCamelCase_						=  self.position_map[elem]
     UpperCamelCase_						=  (elem, weight)
     if position > 0:
        UpperCamelCase_						=  get_parent_position(_UpperCAmelCase			)
        UpperCamelCase_		,   UpperCamelCase_						=  self.heap[parent_position]
        if parent_weight > weight:
           self._bubble_up(_UpperCAmelCase			)
        else:
           self._bubble_down(_UpperCAmelCase			)
     else:
        self._bubble_down(_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     # Place a node at the proper position (upward movement) [to be used internally
     # only]
     UpperCamelCase_						=  self.position_map[elem]
     if curr_pos == 0:
        return None
     UpperCamelCase_						=  get_parent_position(_UpperCAmelCase			)
     UpperCamelCase_		,   UpperCamelCase_						=  self.heap[curr_pos]
     UpperCamelCase_		,   UpperCamelCase_						=  self.heap[parent_position]
     if parent_weight > weight:
        self._swap_nodes(_UpperCAmelCase		,		_UpperCAmelCase			)
        return self._bubble_up(_UpperCAmelCase			)
     return None




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     # Place a node at the proper position (downward movement) [to be used
     # internally only]
     UpperCamelCase_						=  self.position_map[elem]
     UpperCamelCase_		,   UpperCamelCase_						=  self.heap[curr_pos]
     UpperCamelCase_						=  get_child_left_position(_UpperCAmelCase			)
     UpperCamelCase_						=  get_child_right_position(_UpperCAmelCase			)
     if child_left_position < self.elements and child_right_position < self.elements:
        UpperCamelCase_		,   UpperCamelCase_						=  self.heap[child_left_position]
        UpperCamelCase_		,   UpperCamelCase_						=  self.heap[child_right_position]
        if child_right_weight < child_left_weight and child_right_weight < weight:
           self._swap_nodes(_UpperCAmelCase		,		_UpperCAmelCase			)
           return self._bubble_down(_UpperCAmelCase			)
     if child_left_position < self.elements:
        UpperCamelCase_		,   UpperCamelCase_						=  self.heap[child_left_position]
        if child_left_weight < weight:
           self._swap_nodes(_UpperCAmelCase		,		_UpperCAmelCase			)
           return self._bubble_down(_UpperCAmelCase			)
     else:
        return None
     if child_right_position < self.elements:
        UpperCamelCase_		,   UpperCamelCase_						=  self.heap[child_right_position]
        if child_right_weight < weight:
           self._swap_nodes(_UpperCAmelCase		,		_UpperCAmelCase			)
           return self._bubble_down(_UpperCAmelCase			)
     return None




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase			)      ->			None:
     # Swap the nodes at the given positions
     UpperCamelCase_						=  self.heap[nodea_pos][0]
     UpperCamelCase_						=  self.heap[nodea_pos][0]
     UpperCamelCase_		,   UpperCamelCase_						=  (
         self.heap[nodea_pos],
         self.heap[nodea_pos],
     )
     UpperCamelCase_						=  nodea_pos
     UpperCamelCase_						=  nodea_pos




class     _a							(	Generic[T]     ):






  """simple docstring"""





  def __init__(  self			)      ->			None:
     UpperCamelCase_						=  {}
     UpperCamelCase_						=  0




  def __repr__(  self			)      ->			str:
     return str(self.connections			)




  def __len__(  self			)      ->			int:
     return self.nodes




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     # Add a node in the graph if it is not in the graph
     if node not in self.connections:
        UpperCamelCase_						=  {}
        self.nodes += 1




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase			)      ->			None:
     # Add an edge between 2 nodes in the graph
     self.add_node(_UpperCAmelCase			)
     self.add_node(_UpperCAmelCase			)
     UpperCamelCase_						=  weight
     UpperCamelCase_						=  weight






def      _snake_case     (__lowercase     ,   ):
   UpperCamelCase_						=  {node: maxsize for node in graph.connections}
   UpperCamelCase_						=  {node: None for node in graph.connections}

   UpperCamelCase_						=  MinPriorityQueue()
   for node, weight in dist.items():
      priority_queue.push(__lowercase     ,   __lowercase)

   if priority_queue.is_empty():
      return dist, parent

   # initialization
   UpperCamelCase_						=  priority_queue.extract_min()
   UpperCamelCase_						=  0
   for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
         UpperCamelCase_						=  dist[node] + graph.connections[node][neighbour]
         priority_queue.update_key(__lowercase     ,   dist[neighbour])
         UpperCamelCase_						=  node

    # running prim's algorithm
   while not priority_queue.is_empty():
      UpperCamelCase_						=  priority_queue.extract_min()
      for neighbour in graph.connections[node]:
         if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
            UpperCamelCase_						=  dist[node] + graph.connections[node][neighbour]
            priority_queue.update_key(__lowercase     ,   dist[neighbour])
            UpperCamelCase_						=  node
   return dist, parent





