
import json
import os
import unittest

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors



@require_tokenizers
class       _snake_case   (	UpperCAmelCase_  ,						unittest.TestCase							):
 __lowerCAmelCase  :     Any        =			MvpTokenizer
 __lowerCAmelCase  :     List[Any]        =			MvpTokenizerFast
 __lowerCAmelCase  :     List[Any]        =			True
 __lowerCAmelCase  :     Any        =			filter_roberta_detectors


 def      lowercase__     (					self):


   '''simple docstring'''




   super().setUp()
   lowercase__  :   Union[str, Any]    		=      [
       """l""",
       """o""",
       """w""",
       """e""",
       """r""",
       """s""",
       """t""",
       """i""",
       """d""",
       """n""",
       """\u0120""",
       """\u0120l""",
       """\u0120n""",
       """\u0120lo""",
       """\u0120low""",
       """er""",
       """\u0120lowest""",
       """\u0120newer""",
       """\u0120wider""",
       """<unk>""",
   ]
   lowercase__  :   Any    		=      dict(zip(SCREAMING_SNAKE_CASE_					,  range(len(SCREAMING_SNAKE_CASE_))))
   lowercase__  :   Dict    		=      ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
   lowercase__  :   List[Any]    		=      {"""unk_token""": """<unk>"""}

   lowercase__  :   Optional[int]    		=      os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES["""vocab_file"""])
   lowercase__  :   Tuple    		=      os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES["""merges_file"""])
   with open(self.vocab_file					,  """w"""					,  encoding="""utf-8""") as fp:
     fp.write(json.dumps(SCREAMING_SNAKE_CASE_) + """\n""")
   with open(self.merges_file					,  """w"""					,  encoding="""utf-8""") as fp:
     fp.write("""\n""".join(SCREAMING_SNAKE_CASE_))


 def      lowercase__     (					self					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   kwargs.update(self.special_tokens_map)
   return self.tokenizer_class.from_pretrained(self.tmpdirname					,  **SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   kwargs.update(self.special_tokens_map)
   return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,  **SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return "lower newer", "lower newer"


 @cached_property
 def      lowercase__     (					self):


   '''simple docstring'''




   return MvpTokenizer.from_pretrained("""RUCAIBox/mvp""")


 @cached_property
 def      lowercase__     (					self):


   '''simple docstring'''




   return MvpTokenizerFast.from_pretrained("""RUCAIBox/mvp""")


 @require_torch
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Dict    		=      ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
   lowercase__  :   List[Any]    		=      [0, 2_50, 2_51, 1_78_18, 13, 3_91_86, 19_38, 4, 2]

   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
     lowercase__  :   Union[str, Any]    		=      tokenizer(SCREAMING_SNAKE_CASE_					,  max_length=len(SCREAMING_SNAKE_CASE_)					,  padding=SCREAMING_SNAKE_CASE_					,  return_tensors="""pt""")
     self.assertIsInstance(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_)

     self.assertEqual((2, 9)					,  batch.input_ids.shape)
     self.assertEqual((2, 9)					,  batch.attention_mask.shape)
     lowercase__  :   List[Any]    		=      batch.input_ids.tolist()[0]
     self.assertListEqual(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_)
     # Test that special tokens are reset


 @require_torch
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Optional[int]    		=      ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
     lowercase__  :   Optional[Any]    		=      tokenizer(SCREAMING_SNAKE_CASE_					,  padding=SCREAMING_SNAKE_CASE_					,  return_tensors="""pt""")
     # check if input_ids are returned and no labels
     self.assertIn("""input_ids"""					,  SCREAMING_SNAKE_CASE_)
     self.assertIn("""attention_mask"""					,  SCREAMING_SNAKE_CASE_)
     self.assertNotIn("""labels"""					,  SCREAMING_SNAKE_CASE_)
     self.assertNotIn("""decoder_attention_mask"""					,  SCREAMING_SNAKE_CASE_)


 @require_torch
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Dict    		=      [
       """Summary of the text.""",
       """Another summary.""",
   ]
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
     lowercase__  :   int    		=      tokenizer(text_target=SCREAMING_SNAKE_CASE_					,  max_length=32					,  padding="""max_length"""					,  return_tensors="""pt""")
     self.assertEqual(32					,  targets["""input_ids"""].shape[1])


 @require_torch
 def      lowercase__     (					self):


   '''simple docstring'''




   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
     lowercase__  :   str    		=      tokenizer(
         ["""I am a small frog""" * 10_24, """I am a small frog"""]					,  padding=SCREAMING_SNAKE_CASE_					,  truncation=SCREAMING_SNAKE_CASE_					,  return_tensors="""pt""")
     self.assertIsInstance(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_)
     self.assertEqual(batch.input_ids.shape					,  (2, 10_24))


 @require_torch
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   int    		=      ["""A long paragraph for summarization."""]
   lowercase__  :   Optional[Any]    		=      [
       """Summary of the text.""",
   ]
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
     lowercase__  :   List[Any]    		=      tokenizer(SCREAMING_SNAKE_CASE_					,  text_target=SCREAMING_SNAKE_CASE_					,  return_tensors="""pt""")
     lowercase__  :   List[Any]    		=      inputs["""input_ids"""]
     lowercase__  :   Tuple    		=      inputs["""labels"""]
     self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item())
     self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item())
     self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item())
     self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item())


 def      lowercase__     (					self):


   '''simple docstring'''




   pass



 def      lowercase__     (					self):


   '''simple docstring'''




   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
       lowercase__  :   List[Any]    		=      self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_)
       lowercase__  :   int    		=      self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_)
       lowercase__  :   Dict    		=      """A, <mask> AllenNLP sentence."""
       lowercase__  :   Tuple    		=      tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE_					,  add_special_tokens=SCREAMING_SNAKE_CASE_					,  return_token_type_ids=SCREAMING_SNAKE_CASE_)
       lowercase__  :   str    		=      tokenizer_p.encode_plus(SCREAMING_SNAKE_CASE_					,  add_special_tokens=SCREAMING_SNAKE_CASE_					,  return_token_type_ids=SCREAMING_SNAKE_CASE_)

       # token_type_ids should put 0 everywhere
       self.assertEqual(sum(tokens_r["""token_type_ids"""])					,  sum(tokens_p["""token_type_ids"""]))

       # attention_mask should put 1 everywhere, so sum over length should be 1
       self.assertEqual(
           sum(tokens_r["""attention_mask"""]) / len(tokens_r["""attention_mask"""])					,  sum(tokens_p["""attention_mask"""]) / len(tokens_p["""attention_mask"""])					,  )

       lowercase__  :   Optional[Any]    		=      tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""])
       lowercase__  :   Any    		=      tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""])

       # Rust correctly handles the space before the mask while python doesnt
       self.assertSequenceEqual(tokens_p["""input_ids"""]					,  [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2])
       self.assertSequenceEqual(tokens_r["""input_ids"""]					,  [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2])

       self.assertSequenceEqual(
           SCREAMING_SNAKE_CASE_					,  ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""])
       self.assertSequenceEqual(
           SCREAMING_SNAKE_CASE_					,  ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""])








from __future__ import annotations

from collections.abc import Iterator
from typing import Any



class       _snake_case   :


 def __init__(					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__  :   Any    		=      data
   lowercase__  :   Node | None    		=      None



class       _snake_case   :


 def __init__(					self):


   '''simple docstring'''




   lowercase__  :   List[Any]    		=      None
   lowercase__  :   int    		=      None


 def __iter__(					self):


   '''simple docstring'''




   lowercase__  :   List[str]    		=      self.head
   while self.head:
     yield node.data
     lowercase__  :   str    		=      node.next
     if node == self.head:
       break


 def __len__(					self):


   '''simple docstring'''




   return sum(1 for _ in self)


 def __repr__(					self):


   '''simple docstring'''




   return "->".join(str(SCREAMING_SNAKE_CASE_) for item in iter(self))


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   self.insert_nth(len(self)					,  SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   self.insert_nth(0					,  SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




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


 def      lowercase__     (					self):


   '''simple docstring'''




   return self.delete_nth(0)


 def      lowercase__     (					self):


   '''simple docstring'''




   return self.delete_nth(len(self) - 1)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_ = 0):


   '''simple docstring'''




   if not 0 <= index < len(self):
     raise IndexError("""list index out of range.""")
   lowercase__  :   str    		=      self.head
   if self.head == self.tail:  # just one node
     lowercase__  :   List[Any]    		=      None
   elif index == 0:  # delete head node
     lowercase__  :   str    		=      self.tail.next.next
     lowercase__  :   List[Any]    		=      self.head.next
   else:
     lowercase__  :   Optional[int]    		=      self.head
     for _ in range(index - 1):
       lowercase__  :   List[Any]    		=      temp.next
     lowercase__  :   Optional[Any]    		=      temp.next
     lowercase__  :   Dict    		=      temp.next.next
     if index == len(self) - 1:  # delete at tail
       lowercase__  :   Tuple    		=      temp
   return delete_node.data



 def      lowercase__     (					self):


   '''simple docstring'''




   return len(self) == 0

def 		UpperCamelCase	(      )		->	None:


  '''simple docstring'''






  lowercase__  :   int    		=      CircularLinkedList()
  assert len(lowercase_   ) == 0
  assert circular_linked_list.is_empty() is True
  assert str(lowercase_   ) == ""

  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(lowercase_   ) == i
    circular_linked_list.insert_nth(lowercase_ , i + 1   )
  assert str(lowercase_   ) == "->".join(str(lowercase_   ) for i in range(1 , 6   )   )

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

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

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

  assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
     import doctest

     doctest.testmod()






