



"""simple docstring"""







import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowercase__		:				int          =	get_tests_dir("""fixtures/test_sentencepiece_no_bos.model""")







@require_sentencepiece
@require_tokenizers
class       UpperCamelCase__   (	lowercase__,					unittest.TestCase  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     PegasusTokenizer
      _SCREAMING_SNAKE_CASE  				=     PegasusTokenizerFast
      _SCREAMING_SNAKE_CASE  				=     True
      _SCREAMING_SNAKE_CASE  				=     True



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any       ):
        super().setUp()

        # We have a SentencePiece fixture for testing
        lowerCAmelCase_   :				Optional[int]								= PegasusTokenizer(_a       )
        tokenizer.save_pretrained(self.tmpdirname       )



      @cached_property
      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]       ):
        return PegasusTokenizer.from_pretrained('google/pegasus-large'       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      str    ,			**SCREAMING_SNAKE_CASE_				:      str       ):
        return PegasusTokenizer.from_pretrained(self.tmpdirname    ,			**_a       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Union[str, Any]    ,			SCREAMING_SNAKE_CASE_				:      Dict       ):
        return ("This is a test", "This is a test")



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        lowerCAmelCase_   :				Any								= '</s>'
        lowerCAmelCase_   :				Optional[int]								= 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				:      Tuple       ):
        lowerCAmelCase_   :				List[str]								= list(self.get_tokenizer().get_vocab().keys()       )

        self.assertEqual(vocab_keys[0]    ,			'<pad>'       )
        self.assertEqual(vocab_keys[1]    ,			'</s>'       )
        self.assertEqual(vocab_keys[-1]    ,			'v'       )
        self.assertEqual(len(_a       )    ,			1_1_0_3       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict       ):
        self.assertEqual(self.get_tokenizer().vocab_size    ,			1_1_0_3       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any       ):
        lowerCAmelCase_   :				Union[str, Any]								= self.rust_tokenizer_class.from_pretrained(self.tmpdirname       )
        lowerCAmelCase_   :				Tuple								= self.tokenizer_class.from_pretrained(self.tmpdirname       )
        lowerCAmelCase_   :				Union[str, Any]								= (
            'Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important'
            ' </s> <pad> <pad> <pad>'
        )
        lowerCAmelCase_   :				Any								= rust_tokenizer([raw_input_str]    ,			return_tensors=_a    ,			add_special_tokens=_a       ).input_ids[0]
        lowerCAmelCase_   :				List[str]								= py_tokenizer([raw_input_str]    ,			return_tensors=_a    ,			add_special_tokens=_a       ).input_ids[0]
        self.assertListEqual(_a    ,			_a       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      str       ):
        lowerCAmelCase_   :				Union[str, Any]								= self._large_tokenizer
        # <mask_1> masks whole sentence while <mask_2> masks single word
        lowerCAmelCase_   :				List[Any]								= '<mask_1> To ensure a <mask_2> flow of bank resolutions.'
        lowerCAmelCase_   :				List[Any]								= [2, 4_1_3, 6_1_5, 1_1_4, 3, 1_9_7_1, 1_1_3, 1_6_7_9, 1_0_7_1_0, 1_0_7, 1]
        lowerCAmelCase_   :				Union[str, Any]								= tokenizer([raw_input_str]    ,			return_tensors=_a       ).input_ids[0]
        self.assertListEqual(_a    ,			_a       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any       ):
        lowerCAmelCase_   :				str								= self._large_tokenizer
        # The tracebacks for the following asserts are **better** without messages or self.assertEqual
        assert tokenizer.vocab_size == 9_6_1_0_3
        assert tokenizer.pad_token_id == 0
        assert tokenizer.eos_token_id == 1
        assert tokenizer.offset == 1_0_3
        assert tokenizer.unk_token_id == tokenizer.offset + 2 == 1_0_5
        assert tokenizer.unk_token == "<unk>"
        assert tokenizer.model_max_length == 1_0_2_4
        lowerCAmelCase_   :				Any								= 'To ensure a smooth flow of bank resolutions.'
        lowerCAmelCase_   :				int								= [4_1_3, 6_1_5, 1_1_4, 2_2_9_1, 1_9_7_1, 1_1_3, 1_6_7_9, 1_0_7_1_0, 1_0_7, 1]
        lowerCAmelCase_   :				Union[str, Any]								= tokenizer([raw_input_str]    ,			return_tensors=_a       ).input_ids[0]
        self.assertListEqual(_a    ,			_a       )
        assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]       ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]



      @require_torch
      def      SCREAMING_SNAKE_CASE__ (      self				:      str       ):
        lowerCAmelCase_   :				Tuple								= ['This is going to be way too long.' * 1_5_0, 'short example']
        lowerCAmelCase_   :				List[str]								= ['not super long but more than 5 tokens', 'tiny']
        lowerCAmelCase_   :				str								= self._large_tokenizer(_a    ,			padding=_a    ,			truncation=_a    ,			return_tensors='pt'       )
        lowerCAmelCase_   :				int								= self._large_tokenizer(
            text_target=_a    ,			max_length=5    ,			padding=_a    ,			truncation=_a    ,			return_tensors='pt'       )

        assert batch.input_ids.shape == (2, 1_0_2_4)
        assert batch.attention_mask.shape == (2, 1_0_2_4)
        assert targets["input_ids"].shape == (2, 5)
        assert len(_a       ) == 2  # input_ids, attention_mask.





      @slow
      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        lowerCAmelCase_   :				Tuple								= {'input_ids': [[3_8_9_7_9, 1_4_3, 1_8_4_8_5, 6_0_6, 1_3_0, 2_6_6_6_9, 8_7_6_8_6, 1_2_1, 5_4_1_8_9, 1_1_2_9, 1_1_1, 2_6_6_6_9, 8_7_6_8_6, 1_2_1, 9_1_1_4, 1_4_7_8_7, 1_2_1, 1_3_2_4_9, 1_5_8, 5_9_2, 9_5_6, 1_2_1, 1_4_6_2_1, 3_1_5_7_6, 1_4_3, 6_2_6_1_3, 1_0_8, 9_6_8_8, 9_3_0, 4_3_4_3_0, 1_1_5_6_2, 6_2_6_1_3, 3_0_4, 1_0_8, 1_1_4_4_3, 8_9_7, 1_0_8, 9_3_1_4, 1_7_4_1_5, 6_3_3_9_9, 1_0_8, 1_1_4_4_3, 7_6_1_4, 1_8_3_1_6, 1_1_8, 4_2_8_4, 7_1_4_8, 1_2_4_3_0, 1_4_3, 1_4_0_0, 2_5_7_0_3, 1_5_8, 1_1_1, 4_2_8_4, 7_1_4_8, 1_1_7_7_2, 1_4_3, 2_1_2_9_7, 1_0_6_4, 1_5_8, 1_2_2, 2_0_4, 3_5_0_6, 1_7_5_4, 1_1_3_3, 1_4_7_8_7, 1_5_8_1, 1_1_5, 3_3_2_2_4, 4_4_8_2, 1_1_1, 1_3_5_5, 1_1_0, 2_9_1_7_3, 3_1_7, 5_0_8_3_3, 1_0_8, 2_0_1_4_7, 9_4_6_6_5, 1_1_1, 7_7_1_9_8, 1_0_7, 1], [1_1_0, 6_2_6_1_3, 1_1_7, 6_3_8, 1_1_2, 1_1_3_3, 1_2_1, 2_0_0_9_8, 1_3_5_5, 7_9_0_5_0, 1_3_8_7_2, 1_3_5, 1_5_9_6, 5_3_5_4_1, 1_3_5_2, 1_4_1, 1_3_0_3_9, 5_5_4_2, 1_2_4, 3_0_2, 5_1_8, 1_1_1, 2_6_8, 2_9_5_6, 1_1_5, 1_4_9, 4_4_2_7, 1_0_7, 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], [1_3_9, 1_2_3_5, 2_7_9_9, 1_8_2_8_9, 1_7_7_8_0, 2_0_4, 1_0_9, 9_4_7_4, 1_2_9_6, 1_0_7, 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]], '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, 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, 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]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=_a    ,			model_name='google/bigbird-pegasus-large-arxiv'    ,			revision='ba85d0851d708441f91440d509690f1ab6353415'    ,			)







@require_sentencepiece
@require_tokenizers
class       UpperCamelCase__   (	lowercase__,					unittest.TestCase  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     PegasusTokenizer
      _SCREAMING_SNAKE_CASE  				=     PegasusTokenizerFast
      _SCREAMING_SNAKE_CASE  				=     True
      _SCREAMING_SNAKE_CASE  				=     True



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        super().setUp()

        # We have a SentencePiece fixture for testing
        lowerCAmelCase_   :				Tuple								= PegasusTokenizer(_a    ,			offset=0    ,			mask_token_sent=_a    ,			mask_token='[MASK]'       )
        tokenizer.save_pretrained(self.tmpdirname       )



      @cached_property
      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			**SCREAMING_SNAKE_CASE_				:      Optional[Any]       ):
        return PegasusTokenizer.from_pretrained(self.tmpdirname    ,			**_a       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]       ):
        return ("This is a test", "This is a test")



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        lowerCAmelCase_   :				str								= self.rust_tokenizer_class.from_pretrained(self.tmpdirname       )
        lowerCAmelCase_   :				List[str]								= self.tokenizer_class.from_pretrained(self.tmpdirname       )
        lowerCAmelCase_   :				Optional[int]								= (
            'Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'
            ' <pad> <pad> <pad>'
        )
        lowerCAmelCase_   :				int								= rust_tokenizer([raw_input_str]    ,			return_tensors=_a    ,			add_special_tokens=_a       ).input_ids[0]
        lowerCAmelCase_   :				List[Any]								= py_tokenizer([raw_input_str]    ,			return_tensors=_a    ,			add_special_tokens=_a       ).input_ids[0]
        self.assertListEqual(_a    ,			_a       )



      @require_torch
      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        lowerCAmelCase_   :				Tuple								= ['This is going to be way too long.' * 1_0_0_0, 'short example']
        lowerCAmelCase_   :				Optional[Any]								= ['not super long but more than 5 tokens', 'tiny']
        lowerCAmelCase_   :				int								= self._large_tokenizer(_a    ,			padding=_a    ,			truncation=_a    ,			return_tensors='pt'       )
        lowerCAmelCase_   :				str								= self._large_tokenizer(
            text_target=_a    ,			max_length=5    ,			padding=_a    ,			truncation=_a    ,			return_tensors='pt'       )

        assert batch.input_ids.shape == (2, 4_0_9_6)
        assert batch.attention_mask.shape == (2, 4_0_9_6)
        assert targets["input_ids"].shape == (2, 5)
        assert len(_a       ) == 2  # input_ids, attention_mask.





      def      SCREAMING_SNAKE_CASE__ (      self				:      Union[str, Any]       ):
        lowerCAmelCase_   :				Optional[int]								= (
            'This is an example string that is used to test the original TF implementation against the HF'
            ' implementation'
        )

        lowerCAmelCase_   :				Optional[Any]								= self._large_tokenizer(_a       ).input_ids

        self.assertListEqual(
            _a    ,			[1_8_2, 1_1_7, 1_4_2, 5_8_7, 4_2_1_1, 1_2_0, 1_1_7, 2_6_3, 1_1_2, 8_0_4, 1_0_9, 8_5_6, 2_5_0_1_6, 3_1_3_7, 4_6_4, 1_0_9, 2_6_9_5_5, 3_1_3_7, 1]    ,			)







'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase         =    TypeVar("""T""")







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Tuple							,_a      :     T       ):


     '''simple docstring'''






     _a				:	List[str]			=   data
     _a				:	Node[T] | None			=   None


  def __str__(		self      :     Dict       ):


     '''simple docstring'''






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







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Node[T] | None			=   None


  def __iter__(		self      :     str       ):


     '''simple docstring'''






     _a				:	Tuple			=   self.top
     while node:
        yield node.data
        _a				:	int			=   node.next


  def __str__(		self      :     str       ):


     '''simple docstring'''






     return "->".join([str(_a       ) for item in self]       )


  def __len__(		self      :     Optional[Any]       ):


     '''simple docstring'''






     return len(tuple(iter(self       )       )       )


  def   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     return self.top is None


  def   __lowercase		(		self      :     List[Any]							,_a      :     T       ):


     '''simple docstring'''






     _a				:	int			=   Node(_a       )
     if not self.is_empty():
        _a				:	Optional[Any]			=   self.top
     _a				:	List[str]			=   node


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('pop from empty stack'       )
     assert isinstance(self.top							,_a       )
     _a				:	List[Any]			=   self.top
     _a				:	int			=   self.top.next
     return pop_node.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('peek from empty stack'       )

     assert self.top is not None
     return self.top.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   None


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

  testmod()



