






'''simple docstring'''





class   lowerCAmelCase__ :

			def __init__(					self					:		Union[str, Any]     ,		UpperCamelCase_					:		Union[str, Any]     ,		UpperCamelCase_					:		Union[str, Any]=None     ,		UpperCamelCase_					:		List[Any]=None	) ->  Optional[int]:







				"""simple docstring"""






				lowerCamelCase_					:  Any						=    data
				lowerCamelCase_					:  Tuple						=    previous
				lowerCamelCase_					:  str						=    next_node

			def __str__(					self					:		Tuple	) ->  List[Any]:







				"""simple docstring"""






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

			def 						__UpperCamelCase				(					self					:		Tuple	) ->  Union[str, Any]:







				"""simple docstring"""






				return self.data

			def 						__UpperCamelCase				(					self					:		Tuple	) ->  Optional[Any]:







				"""simple docstring"""






				return self.next





			def 						__UpperCamelCase				(					self					:		Any	) ->  Optional[Any]:







				"""simple docstring"""






				return self.previous






class   lowerCAmelCase__ :

			def __init__(					self					:		Tuple     ,		UpperCamelCase_					:		List[str]	) ->  List[str]:







				"""simple docstring"""






				lowerCamelCase_					:  str						=    head

			def __iter__(					self					:		Any	) ->  List[Any]:







				"""simple docstring"""






				return self





			def 						__UpperCamelCase				(					self					:		List[Any]	) ->  Optional[int]:







				"""simple docstring"""






				if not self.current:
					raise StopIteration
				else:
					lowerCamelCase_					:  Optional[Any]						=    self.current.get_data()
					lowerCamelCase_					:  Dict						=    self.current.get_next()
					return value






class   lowerCAmelCase__ :

			def __init__(					self					:		str	) ->  Union[str, Any]:







				"""simple docstring"""






				lowerCamelCase_					:  List[str]						=    None  # First node in list
				lowerCamelCase_					:  Optional[int]						=    None  # Last node in list

			def __str__(					self					:		Dict	) ->  Any:







				"""simple docstring"""






				lowerCamelCase_					:  Union[str, Any]						=    self.head
				lowerCamelCase_					:  Optional[Any]						=    []
				while current is not None:
					nodes.append(current.get_data()	)
					lowerCamelCase_					:  str						=    current.get_next()
				return " ".join(str(UpperCamelCase_	) for node in nodes	)

			def __contains__(					self					:		List[str]     ,		UpperCamelCase_					:		str	) ->  Union[str, Any]:







				"""simple docstring"""






				lowerCamelCase_					:  List[str]						=    self.head
				while current:
					if current.get_data() == value:
						return True
					lowerCamelCase_					:  str						=    current.get_next()
				return False

			def __iter__(					self					:		Any	) ->  Optional[Any]:







				"""simple docstring"""






				return LinkedListIterator(self.head	)

			def 						__UpperCamelCase				(					self					:		Any	) ->  Dict:







				"""simple docstring"""






				if self.head:
					return self.head.get_data()
				return None

			def 						__UpperCamelCase				(					self					:		str	) ->  List[str]:







				"""simple docstring"""






				if self.tail:
					return self.tail.get_data()
				return None

			def 						__UpperCamelCase				(					self					:		int     ,		UpperCamelCase_					:		Any	) ->  Tuple:







				"""simple docstring"""






				if self.head is None:
					lowerCamelCase_					:  Union[str, Any]						=    node
					lowerCamelCase_					:  Any						=    node
				else:
					self.insert_before_node(self.head     ,		UpperCamelCase_	)

			def 						__UpperCamelCase				(					self					:		Dict     ,		UpperCamelCase_					:		List[str]	) ->  Tuple:







				"""simple docstring"""






				if self.head is None:
					self.set_head(UpperCamelCase_	)
				else:
					self.insert_after_node(self.tail     ,		UpperCamelCase_	)

			def 						__UpperCamelCase				(					self					:		List[str]     ,		UpperCamelCase_					:		Optional[Any]	) ->  List[str]:







				"""simple docstring"""






				lowerCamelCase_					:  List[Any]						=    Node(UpperCamelCase_	)
				if self.head is None:
					self.set_head(UpperCamelCase_	)
				else:
					self.set_tail(UpperCamelCase_	)

			def 						__UpperCamelCase				(					self					:		Optional[Any]     ,		UpperCamelCase_					:		Dict     ,		UpperCamelCase_					:		Optional[Any]	) ->  Any:







				"""simple docstring"""






				lowerCamelCase_					:  List[str]						=    node
				lowerCamelCase_					:  Any						=    node.previous

				if node.get_previous() is None:
					lowerCamelCase_					:  Any						=    node_to_insert
				else:
					lowerCamelCase_					:  Any						=    node_to_insert

				lowerCamelCase_					:  str						=    node_to_insert

			def 						__UpperCamelCase				(					self					:		Optional[Any]     ,		UpperCamelCase_					:		Tuple     ,		UpperCamelCase_					:		Optional[Any]	) ->  Dict:







				"""simple docstring"""






				lowerCamelCase_					:  str						=    node
				lowerCamelCase_					:  Optional[Any]						=    node.next

				if node.get_next() is None:
					lowerCamelCase_					:  str						=    node_to_insert
				else:
					lowerCamelCase_					:  int						=    node_to_insert

				lowerCamelCase_					:  Tuple						=    node_to_insert

			def 						__UpperCamelCase				(					self					:		List[str]     ,		UpperCamelCase_					:		List[Any]     ,		UpperCamelCase_					:		Any	) ->  List[str]:







				"""simple docstring"""






				lowerCamelCase_					:  List[str]						=    1
				lowerCamelCase_					:  Any						=    Node(UpperCamelCase_	)
				lowerCamelCase_					:  Optional[int]						=    self.head
				while node:
					if current_position == position:
						self.insert_before_node(UpperCamelCase_     ,		UpperCamelCase_	)
						return
					current_position += 1
					lowerCamelCase_					:  int						=    node.next
				self.insert_after_node(self.tail     ,		UpperCamelCase_	)

			def 						__UpperCamelCase				(					self					:		Union[str, Any]     ,		UpperCamelCase_					:		Optional[Any]	) ->  Optional[Any]:







				"""simple docstring"""






				lowerCamelCase_					:  str						=    self.head
				while node:
					if node.get_data() == item:
						return node
					lowerCamelCase_					:  Optional[Any]						=    node.get_next()
				raise Exception('''Node not found'''	)

			def 						__UpperCamelCase				(					self					:		int     ,		UpperCamelCase_					:		Any	) ->  Optional[int]:







				"""simple docstring"""






				if (node := self.get_node(UpperCamelCase_	)) is not None:
					if node == self.head:
						lowerCamelCase_					:  List[str]						=    self.head.get_next()

					if node == self.tail:
						lowerCamelCase_					:  int						=    self.tail.get_previous()

					self.remove_node_pointers(UpperCamelCase_	)

			@staticmethod
			def 						__UpperCamelCase				(					UpperCamelCase_					:		Optional[Any]	) ->  Any:







				"""simple docstring"""






				if node.get_next():
					lowerCamelCase_					:  str						=    node.previous

				if node.get_previous():
					lowerCamelCase_					:  str						=    node.next

				lowerCamelCase_					:  str						=    None
				lowerCamelCase_					:  Union[str, Any]						=    None





			def 						__UpperCamelCase				(					self					:		str	) ->  Tuple:







				"""simple docstring"""






				return self.head is None






def        __snake_case						():





	"""simple docstring"""
	pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()








import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__magic_name__  							=	'''▁'''

__magic_name__  							=	get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
class        _SCREAMING_SNAKE_CASE	(   __UpperCamelCase							,       unittest.TestCase			):
      _A    :		List[str]     						=  BertGenerationTokenizer
      _A    :		int     						=  False
      _A    :		Optional[Any]     						=  True
      def A_      (      self			):
          super().setUp()

          snake_case__    =					BertGenerationTokenizer(lowerCamelCase		,						keep_accents=lowerCamelCase			)
          tokenizer.save_pretrained(self.tmpdirname			)
      def A_      (      self			):
          snake_case__    =					"<s>"
          snake_case__    =					1

          self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase			)		,						lowerCamelCase			)
          self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase			)		,						lowerCamelCase			)
      def A_      (      self			):
          snake_case__    =					list(self.get_tokenizer().get_vocab().keys()			)

          self.assertEqual(vocab_keys[0]		,						"<unk>"			)
          self.assertEqual(vocab_keys[1]		,						"<s>"			)
          self.assertEqual(vocab_keys[-1]		,						"<pad>"			)
          self.assertEqual(len(lowerCamelCase			)		,						10_02			)
      def A_      (      self			):
          self.assertEqual(self.get_tokenizer().vocab_size		,						10_00			)
      def A_      (      self			):
          snake_case__    =					BertGenerationTokenizer(lowerCamelCase		,						keep_accents=lowerCamelCase			)

          snake_case__    =					tokenizer.tokenize("This is a test"			)
          self.assertListEqual(lowerCamelCase		,						["▁This", "▁is", "▁a", "▁t", "est"]			)

          self.assertListEqual(
              tokenizer.convert_tokens_to_ids(lowerCamelCase			)		,						[2_85, 46, 10, 1_70, 3_82]		,						)

          snake_case__    =					tokenizer.tokenize("I was born in 92000, and this is falsé."			)
          self.assertListEqual(
              lowerCamelCase		,						[
                  SPIECE_UNDERLINE + "I",
                  SPIECE_UNDERLINE + "was",
                  SPIECE_UNDERLINE + "b",
                  "or",
                  "n",
                  SPIECE_UNDERLINE + "in",
                  SPIECE_UNDERLINE + "",
                  "9",
                  "2",
                  "0",
                  "0",
                  "0",
                  ",",
                  SPIECE_UNDERLINE + "and",
                  SPIECE_UNDERLINE + "this",
                  SPIECE_UNDERLINE + "is",
                  SPIECE_UNDERLINE + "f",
                  "al",
                  "s",
                  "é",
                  ".",
              ]		,						)
          snake_case__    =					tokenizer.convert_tokens_to_ids(lowerCamelCase			)
          self.assertListEqual(
              lowerCamelCase		,						[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,						)

          snake_case__    =					tokenizer.convert_ids_to_tokens(lowerCamelCase			)
          self.assertListEqual(
              lowerCamelCase		,						[
                  SPIECE_UNDERLINE + "I",
                  SPIECE_UNDERLINE + "was",
                  SPIECE_UNDERLINE + "b",
                  "or",
                  "n",
                  SPIECE_UNDERLINE + "in",
                  SPIECE_UNDERLINE + "",
                  "<unk>",
                  "2",
                  "0",
                  "0",
                  "0",
                  ",",
                  SPIECE_UNDERLINE + "and",
                  SPIECE_UNDERLINE + "this",
                  SPIECE_UNDERLINE + "is",
                  SPIECE_UNDERLINE + "f",
                  "al",
                  "s",
                  "<unk>",
                  ".",
              ]		,						)
      @cached_property
      def A_      (      self			):
          return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder"			)
      @slow
      def A_      (      self			):
          snake_case__    =					"Hello World!"
          snake_case__    =					[1_85_36, 22_60, 1_01]

          self.assertListEqual(lowerCamelCase		,						self.big_tokenizer.encode(lowerCamelCase			)			)
      @slow
      def A_      (      self			):
          snake_case__    =					(
              "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
              " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
          )
          snake_case__    =					[
              8_71,
              4_19,
              3_58,
              9_46,
              9_91,
              25_21,
              4_52,
              3_58,
              13_57,
              3_87,
              77_51,
              35_36,
              1_12,
              9_85,
              4_56,
              1_26,
              8_65,
              9_38,
              54_00,
              57_34,
              4_58,
              13_68,
              4_67,
              7_86,
              24_62,
              52_46,
              11_59,
              6_33,
              8_65,
              45_19,
              4_57,
              5_82,
              8_52,
              25_57,
              4_27,
              9_16,
              5_08,
              4_05,
              3_43_24,
              4_97,
              3_91,
              4_08,
              1_13_42,
              12_44,
              3_85,
              1_00,
              9_38,
              9_85,
              4_56,
              5_74,
              3_62,
              1_25_97,
              32_00,
              31_29,
              11_72,
          ]

          self.assertListEqual(lowerCamelCase		,						self.big_tokenizer.encode(lowerCamelCase			)			)
      @require_torch
      @slow
      def A_      (      self			):
          import torch

          from transformers import BertGenerationConfig, BertGenerationEncoder

          # Build sequence
          snake_case__    =					list(self.big_tokenizer.get_vocab().keys()			)[:10]
          snake_case__    =					" ".join(lowerCamelCase			)
          snake_case__    =					self.big_tokenizer.encode_plus(lowerCamelCase		,						return_tensors="pt"		,						return_token_type_ids=lowerCamelCase			)
          snake_case__    =					self.big_tokenizer.batch_encode_plus(
              [sequence + " " + sequence]		,						return_tensors="pt"		,						return_token_type_ids=lowerCamelCase			)

          snake_case__    =					BertGenerationConfig()
          snake_case__    =					BertGenerationEncoder(lowerCamelCase			)

          assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

          with torch.no_grad():
              model(**lowerCamelCase			)
              model(**lowerCamelCase			)



      @slow
      def A_      (      self			):
          # fmt: off
          snake_case__    =					{"input_ids": [[3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14], [4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 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, 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, 0, 0, 0, 0, 0, 0, 0], [4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 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, 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, 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]], "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, 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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0], [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, 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, 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]]}  # noqa: E501
          # fmt: on

          self.tokenizer_integration_test_util(
              expected_encoding=lowerCamelCase		,						model_name="google/bert_for_seq_generation_L-24_bbc_encoder"		,						revision="c817d1fd1be2ffa69431227a1fe320544943d4db"		,						)



