


"""simple docstring"""







import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






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







    """simple docstring"""




    UpperCAmelCase	:							List[Any]     =	RobertaTokenizer
    UpperCAmelCase	:							str     =	RobertaTokenizerFast
    UpperCAmelCase	:							Tuple     =	True
    UpperCAmelCase	:							List[str]     =	{"""cls_token""": """<s>"""}






    def      __snake_case							( self    :   Optional[int]):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      a						:		Tuple											=      [
          "l",
          "o",
          "w",
          "e",
          "r",
          "s",
          "t",
          "i",
          "d",
          "n",
          "\u0120",
          "\u0120l",
          "\u0120n",
          "\u0120lo",
          "\u0120low",
          "er",
          "\u0120lowest",
          "\u0120newer",
          "\u0120wider",
          "<unk>",
      ]
      a						:		List[str]											=      dict(zip(__UpperCAmelCase    ,			range(len(__UpperCAmelCase))))
      a						:		str											=      ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
      a						:		List[str]											=      {"unk_token": "<unk>"}

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






    def      __snake_case							( self    :   int    ,			**__UpperCAmelCase    :   List[Any]):
      kwargs.update(self.special_tokens_map)
      return self.tokenizer_class.from_pretrained(self.tmpdirname    ,			**__UpperCAmelCase)






    def      __snake_case							( self    :   Dict    ,			**__UpperCAmelCase    :   Tuple):
      kwargs.update(self.special_tokens_map)
      return RobertaTokenizerFast.from_pretrained(self.tmpdirname    ,			**__UpperCAmelCase)






    def      __snake_case							( self    :   List[str]    ,			__UpperCAmelCase    :   Tuple):
      a						:		Any											=      "lower newer"
      a						:		Dict											=      "lower newer"
      return input_text, output_text






    def      __snake_case							( self    :   Optional[int]):
      a						:		Optional[int]											=      self.tokenizer_class(self.vocab_file    ,			self.merges_file    ,			**self.special_tokens_map)
      a						:		Union[str, Any]											=      "lower newer"
      a						:		Optional[Any]											=      ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
      a						:		int											=      tokenizer.tokenize(__UpperCAmelCase)  # , add_prefix_space=True)
      self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      a						:		Dict											=      tokens + [tokenizer.unk_token]
      a						:		Tuple											=      [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase)    ,			__UpperCAmelCase)






    def      __snake_case							( self    :   Union[str, Any]):
      a						:		int											=      self.get_tokenizer()

      self.assertListEqual(tokenizer.encode("Hello world!"    ,			add_special_tokens=__UpperCAmelCase)    ,			[0, 31414, 232, 328, 2])
      self.assertListEqual(
          tokenizer.encode("Hello world! cécé herlolip 418"    ,			add_special_tokens=__UpperCAmelCase)    ,			[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]    ,			)






    @slow
    def      __snake_case							( self    :   Union[str, Any]):
      a						:		Union[str, Any]											=      self.tokenizer_class.from_pretrained("roberta-base")

      a						:		List[str]											=      tokenizer.encode("sequence builders"    ,			add_special_tokens=__UpperCAmelCase)
      a						:		Optional[Any]											=      tokenizer.encode("multi-sequence build"    ,			add_special_tokens=__UpperCAmelCase)

      a						:		List[str]											=      tokenizer.encode(
          "sequence builders"    ,			add_special_tokens=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase)
      a						:		List[Any]											=      tokenizer.encode(
          "sequence builders"    ,			"multi-sequence build"    ,			add_special_tokens=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase)

      a						:		int											=      tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase)
      a						:		Dict											=      tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase    ,			__UpperCAmelCase)

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode






    def      __snake_case							( self    :   Optional[int]):
      a						:		Optional[int]											=      self.get_tokenizer()

      a						:		Dict											=      "Encode this sequence."
      a						:		Dict											=      tokenizer.byte_encoder[" ".encode("utf-8")[0]]

      # Testing encoder arguments
      a						:		Union[str, Any]											=      tokenizer.encode(__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase)
      a						:		Optional[int]											=      tokenizer.convert_ids_to_tokens(encoded[0])[0]
      self.assertNotEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      a						:		Dict											=      tokenizer.encode(__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase)
      a						:		int											=      tokenizer.convert_ids_to_tokens(encoded[0])[0]
      self.assertEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      tokenizer.add_special_tokens({"bos_token": "<s>"})
      a						:		Optional[Any]											=      tokenizer.encode(__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
      a						:		Tuple											=      tokenizer.convert_ids_to_tokens(encoded[1])[0]
      self.assertNotEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      # Testing spaces after special tokens
      a						:		Union[str, Any]											=      "<mask>"
      tokenizer.add_special_tokens(
          {"mask_token": AddedToken(__UpperCAmelCase    ,			lstrip=__UpperCAmelCase    ,			rstrip=__UpperCAmelCase)})  # mask token has a left space
      a						:		List[str]											=      tokenizer.convert_tokens_to_ids(__UpperCAmelCase)

      a						:		Optional[Any]											=      "Encode <mask> sequence"
      a						:		List[str]											=      "Encode <mask>sequence"

      a						:		str											=      tokenizer.encode(__UpperCAmelCase)
      a						:		List[str]											=      encoded.index(__UpperCAmelCase)
      a						:		Optional[Any]											=      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
      self.assertEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      a						:		int											=      tokenizer.encode(__UpperCAmelCase)
      a						:		Dict											=      encoded.index(__UpperCAmelCase)
      a						:		Any											=      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
      self.assertNotEqual(__UpperCAmelCase    ,			__UpperCAmelCase)






    def      __snake_case							( self    :   Dict):
      pass






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

          # 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"])    ,			)

          a						:		Dict											=      tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"])
          a						:		List[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, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2])
          self.assertSequenceEqual(tokens_r["input_ids"]    ,			[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2])

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






    def      __snake_case							( self    :   int):
      for trim_offsets, add_prefix_space in itertools.product([True, False]    ,			repeat=2):
        a						:		Dict											=      self.rust_tokenizer_class.from_pretrained(
            self.tmpdirname    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)

        a						:		str											=      json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
        a						:		Optional[int]											=      json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__())

        self.assertEqual(pre_tokenizer_state["add_prefix_space"]    ,			__UpperCAmelCase)

        self.assertEqual(post_processor_state["add_prefix_space"]    ,			__UpperCAmelCase)
        self.assertEqual(post_processor_state["trim_offsets"]    ,			__UpperCAmelCase)






    def      __snake_case							( self    :   Optional[int]):
      # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
      # `trim_offsets`
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
          a						:		Optional[int]											=      "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
          a						:		str											=      f'''{text_of_1_token} {text_of_1_token}'''

          a						:		int											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		Dict											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(0, len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(len(__UpperCAmelCase) + 1, len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)

          a						:		Optional[int]											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		Union[str, Any]											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(0, len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(len(__UpperCAmelCase) + 1, len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)

          a						:		List[Any]											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		List[str]											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(0, len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(len(__UpperCAmelCase), len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)

          a						:		Union[str, Any]											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		Union[str, Any]											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(0, len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(len(__UpperCAmelCase), len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)

          a						:		Tuple											=      f''' {text}'''

          # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
          #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
          # )
          # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
          # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
          # self.assertEqual(
          #     encoding.offset_mapping[1],
          #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
          # )

          a						:		Dict											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		str											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(1, 1 + len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(1 + len(__UpperCAmelCase) + 1, 1 + len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)

          a						:		int											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		List[str]											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(0, 1 + len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(1 + len(__UpperCAmelCase), 1 + len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)

          a						:		Any											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			add_prefix_space=__UpperCAmelCase    ,			trim_offsets=__UpperCAmelCase)
          a						:		List[Any]											=      tokenizer_r(__UpperCAmelCase    ,			return_offsets_mapping=__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
          self.assertEqual(encoding.offset_mapping[0]    ,			(0, 1 + len(__UpperCAmelCase)))
          self.assertEqual(
              encoding.offset_mapping[1]    ,			(1 + len(__UpperCAmelCase), 1 + len(__UpperCAmelCase) + 1 + len(__UpperCAmelCase))    ,			)










"""simple docstring"""







from __future__ import annotations






class 						_A  :







    """simple docstring"""




    def __init__( self    :   Tuple    ,			__UpperCAmelCase    :   List[Any]=None):
      a						:		int											=      data
      a						:		Dict											=      None






    def __repr__( self    :   Dict):
      a						:		List[Any]											=      []
      a						:		str											=      self
      while temp:
        string_rep.append(f'''{temp.data}''')
        a						:		Tuple											=      temp.next
      return "->".join(__UpperCAmelCase)






def 					lowercase      (    A_	)->				Any:
  '''simple docstring'''







  if not elements_list:
    raise Exception("The Elements List is empty"	)

  a						:		Any											=      Node(elements_list[0]	)
  for i in range(1  ,       len(A_	)	):
    a						:		int											=      Node(elements_list[i]	)
    a						:		Optional[Any]											=      current.next
  return head


def 					lowercase      (    A_	)->				None:
  '''simple docstring'''







  if head_node is not None and isinstance(A_  ,       A_	):
    print_reverse(head_node.next	)
    print(head_node.data	)


def 					lowercase      (    )->				List[Any]:
  '''simple docstring'''







  from doctest import testmod

  testmod()

  a						:		Union[str, Any]											=      make_linked_list([14, 52, 14, 12, 43]	)
  print("Linked List:"	)
  print(A_	)
  print("Elements in Reverse:"	)
  print_reverse(A_	)


if __name__ == "__main__":
 main()






