


"""simple docstring"""

from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class  lowerCamelCase__    :
      def __init__(		self						:						Optional[int]   ,							A_						:						Any				):






       '''simple docstring'''


       __lowercase						=						data
       __lowercase						=						None






class  lowerCamelCase__    :
      def __init__(		self						:						Optional[Any]				):






       '''simple docstring'''


       __lowercase						=						None
       __lowercase						=						None
      def __iter__(		self						:						Optional[Any]				):






       '''simple docstring'''


       __lowercase						=						self.head
       while self.head:
        yield node.data
        __lowercase						=						node.next
        if node == self.head:
         break
      def __len__(		self						:						int				):






       '''simple docstring'''


       return sum(1 for _ in self				)
      def __repr__(		self						:						Tuple				):






       '''simple docstring'''


       return "->".join(str(A_				) for item in iter(self				)				)
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]   ,							A_						:						Any				):






       '''simple docstring'''


       self.insert_nth(len(self				)   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						List[Any]   ,							A_						:						Any				):






       '''simple docstring'''


       self.insert_nth(0   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]   ,							A_						:						int   ,							A_						:						Any				):






       '''simple docstring'''


       if index < 0 or index > len(self				):
        raise IndexError("""list index out of range."""				)
       __lowercase						=						Node(A_				)
       if self.head is None:
        __lowercase						=						new_node  # first node points itself
        __lowercase						=						__lowercase						=						new_node
       elif index == 0:  # insert at head
        __lowercase						=						self.head
        __lowercase						=						__lowercase						=						new_node
       else:
        __lowercase						=						self.head
        for _ in range(index - 1				):
         __lowercase						=						temp.next
        __lowercase						=						temp.next
        __lowercase						=						new_node
        if index == len(self				) - 1:  # insert at tail
         __lowercase						=						new_node
      def SCREAMING_SNAKE_CASE_						(		self						:						Union[str, Any]				):






       '''simple docstring'''


       return self.delete_nth(0				)
      def SCREAMING_SNAKE_CASE_						(		self						:						List[Any]				):






       '''simple docstring'''


       return self.delete_nth(len(self				) - 1				)
      def SCREAMING_SNAKE_CASE_						(		self						:						Tuple   ,							A_						:						int = 0				):






       '''simple docstring'''


       if not 0 <= index < len(self				):
        raise IndexError("""list index out of range."""				)
       __lowercase						=						self.head
       if self.head == self.tail:  # just one node
        __lowercase						=						__lowercase						=						None
       elif index == 0:  # delete head node
        __lowercase						=						self.tail.next.next
        __lowercase						=						self.head.next
       else:
        __lowercase						=						self.head
        for _ in range(index - 1				):
         __lowercase						=						temp.next
        __lowercase						=						temp.next
        __lowercase						=						temp.next.next
        if index == len(self				) - 1:  # delete at tail
         __lowercase						=						temp
       return delete_node.data






      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]				):






       '''simple docstring'''


       return len(self				) == 0






def lowerCAmelCase_   (					):






 """simple docstring"""







 __lowercase						=						CircularLinkedList()
 assert len(UpperCamelCase__			) == 0
 assert circular_linked_list.is_empty() is True
 assert str(UpperCamelCase__			) == ""

 try:
  circular_linked_list.delete_front()
  raise AssertionError  # This should not happen
 except IndexError:
  assert True  # This should happen

 try:
  circular_linked_list.delete_tail()
  raise AssertionError  # This should not happen
 except IndexError:
  assert True  # This should happen

 try:
  circular_linked_list.delete_nth(-1			)
  raise AssertionError
 except IndexError:
  assert True

 try:
  circular_linked_list.delete_nth(0			)
  raise AssertionError
 except IndexError:
  assert True

 assert circular_linked_list.is_empty() is True
 for i in range(5			):
  assert len(UpperCamelCase__			) == i
  circular_linked_list.insert_nth(UpperCamelCase__					, i + 1			)
 assert str(UpperCamelCase__			) == "->".join(str(UpperCamelCase__			) for i in range(1					, 6			)			)

 circular_linked_list.insert_tail(6			)
 assert str(UpperCamelCase__			) == "->".join(str(UpperCamelCase__			) for i in range(1					, 7			)			)
 circular_linked_list.insert_head(0			)
 assert str(UpperCamelCase__			) == "->".join(str(UpperCamelCase__			) for i in range(0					, 7			)			)

 assert circular_linked_list.delete_front() == 0
 assert circular_linked_list.delete_tail() == 6
 assert str(UpperCamelCase__			) == "->".join(str(UpperCamelCase__			) for i in range(1					, 6			)			)
 assert circular_linked_list.delete_nth(2			) == 3

 circular_linked_list.insert_nth(2					, 3			)
 assert str(UpperCamelCase__			) == "->".join(str(UpperCamelCase__			) for i in range(1					, 6			)			)

 assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
       import doctest

       doctest.testmod()




"""simple docstring"""

import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class  lowerCamelCase__    (		_a      , unittest.TestCase     ):
      a			:  Union[str, Any]           =		BarthezTokenizer
      a			:  Any           =		BarthezTokenizerFast
      a			:  Tuple           =		True
      a			:  List[Any]           =		True
      def SCREAMING_SNAKE_CASE_						(		self						:						List[str]				):






       '''simple docstring'''


       super().setUp()

       __lowercase						=						BarthezTokenizerFast.from_pretrained("""moussaKam/mbarthez"""				)
       tokenizer.save_pretrained(self.tmpdirname				)
       tokenizer.save_pretrained(self.tmpdirname   ,							legacy_format=A_				)
       __lowercase						=						tokenizer
      def SCREAMING_SNAKE_CASE_						(		self						:						Tuple				):






       '''simple docstring'''


       __lowercase						=						"""<pad>"""
       __lowercase						=						1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_				)   ,							A_				)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_				)   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						List[str]				):






       '''simple docstring'''


       __lowercase						=						list(self.get_tokenizer().get_vocab().keys()				)

       self.assertEqual(vocab_keys[0]   ,							"""<s>"""				)
       self.assertEqual(vocab_keys[1]   ,							"""<pad>"""				)
       self.assertEqual(vocab_keys[-1]   ,							"""<mask>"""				)
       self.assertEqual(len(A_				)   ,							1_0_1_1_2_2				)
      def SCREAMING_SNAKE_CASE_						(		self						:						Union[str, Any]				):






       '''simple docstring'''


       self.assertEqual(self.get_tokenizer().vocab_size   ,							1_0_1_1_2_2				)
      @require_torch
      def SCREAMING_SNAKE_CASE_						(		self						:						str				):






       '''simple docstring'''


       __lowercase						=						["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
       __lowercase						=						[0, 5_7, 3_0_1_8, 7_0_3_0_7, 9_1, 2]

       __lowercase						=						self.tokenizer(
           A_   ,							max_length=len(A_				)   ,							padding=A_   ,							truncation=A_   ,							return_tensors="""pt"""				)
       self.assertIsInstance(A_   ,							A_				)

       self.assertEqual((2, 6)   ,							batch.input_ids.shape				)
       self.assertEqual((2, 6)   ,							batch.attention_mask.shape				)
       __lowercase						=						batch.input_ids.tolist()[0]
       self.assertListEqual(A_   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						int				):






       '''simple docstring'''


       if not self.test_rust_tokenizer:
        return

       __lowercase						=						self.get_tokenizer()
       __lowercase						=						self.get_rust_tokenizer()

       __lowercase						=						"""I was born in 92000, and this is falsé."""

       __lowercase						=						tokenizer.tokenize(A_				)
       __lowercase						=						rust_tokenizer.tokenize(A_				)
       self.assertListEqual(A_   ,							A_				)

       __lowercase						=						tokenizer.encode(A_   ,							add_special_tokens=A_				)
       __lowercase						=						rust_tokenizer.encode(A_   ,							add_special_tokens=A_				)
       self.assertListEqual(A_   ,							A_				)

       __lowercase						=						self.get_rust_tokenizer()
       __lowercase						=						tokenizer.encode(A_				)
       __lowercase						=						rust_tokenizer.encode(A_				)
       self.assertListEqual(A_   ,							A_				)






      @slow
      def SCREAMING_SNAKE_CASE_						(		self						:						Union[str, Any]				):






       '''simple docstring'''


       __lowercase						=						{"""input_ids""": [[0, 4_9_0, 1_4_3_2_8, 4_5_0_7, 3_5_4, 4_7, 4_3_6_6_9, 9_5, 2_5, 7_8_1_1_7, 2_0_2_1_5, 1_9_7_7_9, 1_9_0, 2_2, 4_0_0, 4, 3_5_3_4_3, 8_0_3_1_0, 6_0_3, 8_6, 2_4_9_3_7, 1_0_5, 3_3_4_3_8, 9_4_7_6_2, 1_9_6, 3_9_6_4_2, 7, 1_5, 1_5_9_3_3, 1_7_3, 2, 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, 1_0_5_3_4, 8_7, 2_5, 6_6, 3_3_5_8, 1_9_6, 5_5_2_8_9, 8, 8_2_9_6_1, 8_1, 2_2_0_4, 7_5_2_0_3, 7, 1_5, 7_6_3, 1_2_9_5_6, 2_1_6, 1_7_8, 1_4_3_2_8, 9_5_9_5, 1_3_7_7, 6_9_6_9_3, 7, 4_4_8, 7_1_0_2_1, 1_9_6, 1_8_1_0_6, 1_4_3_7, 1_3_9_7_4, 1_0_8, 9_0_8_3, 4, 4_9_3_1_5, 7, 3_9, 8_6, 1_3_2_6, 2_7_9_3, 4_6_3_3_3, 4, 4_4_8, 1_9_6, 7_4_5_8_8, 7, 4_9_3_1_5, 7, 3_9, 2_1, 8_2_2, 3_8_4_7_0, 7_4, 2_1, 6_6_7_2_3, 6_2_4_8_0, 8, 2_2_0_5_0, 5, 2]], """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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
       # fmt: on

       # moussaKam/mbarthez is a french model. So we also use french texts.
       __lowercase						=						[
           """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=A_   ,							model_name="""moussaKam/mbarthez"""   ,							revision="""c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6"""   ,							sequences=A_   ,							)
