
"""simple docstring"""





import json
import os
import unittest

from transformers import BartTokenizer, BartTokenizerFast, BatchEncoding
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 A_      (lowercase__							,unittest.TestCase ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__     :		Dict    	=						BartTokenizer
  SCREAMING_SNAKE_CASE__     :		str    	=						BartTokenizerFast
  SCREAMING_SNAKE_CASE__     :		Union[str, Any]    	=						True
  SCREAMING_SNAKE_CASE__     :		Optional[int]    	=						filter_roberta_detectors







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     super().setUp()
     UpperCAmelCase_   :   Optional[int]     	=       [
         "l",
         "o",
         "w",
         "e",
         "r",
         "s",
         "t",
         "i",
         "d",
         "n",
         "\u0120",
         "\u0120l",
         "\u0120n",
         "\u0120lo",
         "\u0120low",
         "er",
         "\u0120lowest",
         "\u0120newer",
         "\u0120wider",
         "<unk>",
     ]
     UpperCAmelCase_   :   Optional[int]     	=       dict(zip(lowercase_							,  range(len(lowercase_    )    )    )    )
     UpperCAmelCase_   :   Tuple     	=       ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
     UpperCAmelCase_   :   Tuple     	=       {"unk_token": "<unk>"}

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







  def 			UpperCamelCase__   (						self							,  **lowercase_    ):

     """simple docstring"""
     kwargs.update(self.special_tokens_map    )
     return self.tokenizer_class.from_pretrained(self.tmpdirname							,  **lowercase_    )







  def 			UpperCamelCase__   (						self							,  **lowercase_    ):

     """simple docstring"""
     kwargs.update(self.special_tokens_map    )
     return self.rust_tokenizer_class.from_pretrained(self.tmpdirname							,  **lowercase_    )







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     return "lower newer", "lower newer"







  @cached_property
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     return BartTokenizer.from_pretrained("facebook/bart-large"    )







  @cached_property
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     return BartTokenizerFast.from_pretrained("facebook/bart-large"    )







  @require_torch
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   Tuple     	=       ["A long paragraph for summarization.", "Another paragraph for summarization."]
     UpperCAmelCase_   :   int     	=       [0, 250, 251, 1_7818, 13, 3_9186, 1938, 4, 2]

     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        UpperCAmelCase_   :   str     	=       tokenizer(lowercase_							,  max_length=len(lowercase_    )							,  padding=lowercase_							,  return_tensors="pt"    )
        self.assertIsInstance(lowercase_							,  lowercase_    )

        self.assertEqual((2, 9)							,  batch.input_ids.shape    )
        self.assertEqual((2, 9)							,  batch.attention_mask.shape    )
        UpperCAmelCase_   :   Union[str, Any]     	=       batch.input_ids.tolist()[0]
        self.assertListEqual(lowercase_							,  lowercase_    )
        # Test that special tokens are reset







  @require_torch
  def 			UpperCamelCase__   (						self    ):

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







  @require_torch
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   str     	=       [
         "Summary of the text.",
         "Another summary.",
     ]
     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        UpperCAmelCase_   :   List[Any]     	=       tokenizer(text_target=lowercase_							,  max_length=32							,  padding="max_length"							,  return_tensors="pt"    )
        self.assertEqual(32							,  targets["input_ids"].shape[1]    )







  @require_torch
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        UpperCAmelCase_   :   Optional[int]     	=       tokenizer(
            ["I am a small frog" * 1024, "I am a small frog"]							,  padding=lowercase_							,  truncation=lowercase_							,  return_tensors="pt"    )
        self.assertIsInstance(lowercase_							,  lowercase_    )
        self.assertEqual(batch.input_ids.shape							,  (2, 1024)    )







  @require_torch
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   List[str]     	=       ["A long paragraph for summarization."]
     UpperCAmelCase_   :   List[str]     	=       [
         "Summary of the text.",
     ]
     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        UpperCAmelCase_   :   Any     	=       tokenizer(lowercase_							,  return_tensors="pt"    )
        UpperCAmelCase_   :   int     	=       tokenizer(text_target=lowercase_							,  return_tensors="pt"    )
        UpperCAmelCase_   :   Optional[int]     	=       inputs["input_ids"]
        UpperCAmelCase_   :   Any     	=       targets["input_ids"]
        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 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     pass







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
           UpperCAmelCase_   :   List[str]     	=       self.rust_tokenizer_class.from_pretrained(lowercase_							,  **lowercase_    )
           UpperCAmelCase_   :   Optional[int]     	=       self.tokenizer_class.from_pretrained(lowercase_							,  **lowercase_    )
           UpperCAmelCase_   :   Optional[Any]     	=       "A, <mask> AllenNLP sentence."
           UpperCAmelCase_   :   List[Any]     	=       tokenizer_r.encode_plus(lowercase_							,  add_special_tokens=lowercase_							,  return_token_type_ids=lowercase_    )
           UpperCAmelCase_   :   Optional[int]     	=       tokenizer_p.encode_plus(lowercase_							,  add_special_tokens=lowercase_							,  return_token_type_ids=lowercase_    )

           # 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"]    )							,  )

           UpperCAmelCase_   :   Union[str, Any]     	=       tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]    )
           UpperCAmelCase_   :   Tuple     	=       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, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]    )
           self.assertSequenceEqual(tokens_r["input_ids"]							,  [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]    )

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




"""simple docstring"""





class A_      :




  '''simple docstring'''







  def __init__(						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   str     	=       data
     UpperCAmelCase_   :   str     	=       None
     UpperCAmelCase_   :   List[Any]     	=       None







  def __str__(						self    ):

     """simple docstring"""
     return F"""{self.data}"""




class A_      :




  '''simple docstring'''







  def __init__(						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   Tuple     	=       None
     UpperCAmelCase_   :   List[str]     	=       None







  def __iter__(						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   Optional[int]     	=       self.head
     while node:
        yield node.data
        UpperCAmelCase_   :   Optional[Any]     	=       node.next







  def __str__(						self    ):

     """simple docstring"""
     return "->".join([str(lowercase_    ) for item in self]    )







  def __len__(						self    ):

     """simple docstring"""
     return sum(1 for _ in self    )







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     self.insert_at_nth(0							,  lowercase_    )







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     self.insert_at_nth(len(self    )							,  lowercase_    )







  def 			UpperCamelCase__   (						self							,  lowercase_							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   int     	=       len(self    )

     if not 0 <= index <= length:
        raise IndexError("list index out of range"    )
     UpperCAmelCase_   :   Tuple     	=       Node(lowercase_    )
     if self.head is None:
        UpperCAmelCase_   :   List[str]     	=       new_node
     elif index == 0:
        UpperCAmelCase_   :   int     	=       new_node
        UpperCAmelCase_   :   Optional[Any]     	=       self.head
        UpperCAmelCase_   :   Optional[int]     	=       new_node
     elif index == length:
        UpperCAmelCase_   :   Union[str, Any]     	=       new_node
        UpperCAmelCase_   :   Optional[Any]     	=       self.tail
        UpperCAmelCase_   :   Tuple     	=       new_node
     else:
        UpperCAmelCase_   :   Dict     	=       self.head
        for _ in range(0							,  lowercase_    ):
           UpperCAmelCase_   :   str     	=       temp.next
        UpperCAmelCase_   :   int     	=       new_node
        UpperCAmelCase_   :   Tuple     	=       temp.previous
        UpperCAmelCase_   :   Union[str, Any]     	=       temp
        UpperCAmelCase_   :   int     	=       new_node







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     return self.delete_at_nth(0    )







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     return self.delete_at_nth(len(self    ) - 1    )







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   int     	=       len(self    )

     if not 0 <= index <= length - 1:
        raise IndexError("list index out of range"    )
     UpperCAmelCase_   :   Optional[int]     	=       self.head  # default first node
     if length == 1:
        UpperCAmelCase_   :   Union[str, Any]     	=       None
     elif index == 0:
        UpperCAmelCase_   :   List[Any]     	=       self.head.next
        UpperCAmelCase_   :   str     	=       None
     elif index == length - 1:
        UpperCAmelCase_   :   str     	=       self.tail
        UpperCAmelCase_   :   Optional[Any]     	=       self.tail.previous
        UpperCAmelCase_   :   Any     	=       None
     else:
        UpperCAmelCase_   :   List[Any]     	=       self.head
        for _ in range(0							,  lowercase_    ):
           UpperCAmelCase_   :   str     	=       temp.next
        UpperCAmelCase_   :   Dict     	=       temp
        UpperCAmelCase_   :   Optional[Any]     	=       temp.previous
        UpperCAmelCase_   :   int     	=       temp.next
     return delete_node.data







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   Tuple     	=       self.head

     while current.data != data:  # Find the position to delete
        if current.next:
           UpperCAmelCase_   :   List[str]     	=       current.next
        else:  # We have reached the end an no value matches
           raise ValueError("No data matching given value"    )

     if current == self.head:
        self.delete_head()

     elif current == self.tail:
        self.delete_tail()

     else:  # Before: 1 <--> 2(current) <--> 3
        UpperCAmelCase_   :   str     	=       current.next  # 1 --> 3
        UpperCAmelCase_   :   Optional[Any]     	=       current.previous  # 1 <--> 3
     return data







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     return len(self    ) == 0







def       __a	(						):
   UpperCAmelCase_   :   Dict     	=       DoublyLinkedList()
   assert linked_list.is_empty() is True
   assert str(__lowerCamelCase    ) == ""

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

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

   for i in range(10    ):
      assert len(__lowerCamelCase    ) == i
      linked_list.insert_at_nth(__lowerCamelCase,						i + 1    )
   assert str(__lowerCamelCase    ) == "->".join(str(__lowerCamelCase    ) for i in range(1,						11    )    )

   linked_list.insert_at_head(0    )
   linked_list.insert_at_tail(11    )
   assert str(__lowerCamelCase    ) == "->".join(str(__lowerCamelCase    ) for i in range(0,						12    )    )

   assert linked_list.delete_head() == 0
   assert linked_list.delete_at_nth(9    ) == 10
   assert linked_list.delete_tail() == 11
   assert len(__lowerCamelCase    ) == 9
   assert str(__lowerCamelCase    ) == "->".join(str(__lowerCamelCase    ) for i in range(1,						10    )    )


if __name__ == "__main__":
    from doctest import testmod

    testmod()


