


'''simple docstring'''







import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
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


A				:					Tuple    						=			'''▁'''

A				:					int    						=			get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class 			__lowerCamelCase			(	a_    , unittest.TestCase	):
    """simple docstring"""
    a													=   BigBirdTokenizer
    a													=   BigBirdTokenizerFast
    a													=   True
    a													=   True


    def        A   (  self      :							Tuple):
           super().setUp()

           _A					:     Dict     = self.tokenizer_class(SCREAMING_SNAKE_CASE				,							keep_accents=SCREAMING_SNAKE_CASE)
           tokenizer.save_pretrained(self.tmpdirname)


    def        A   (  self      :							List[Any]):
           _A					:     Tuple     = '<s>'
           _A					:     Union[str, Any]     = 1

           self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE)				,							SCREAMING_SNAKE_CASE)
           self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE)				,							SCREAMING_SNAKE_CASE)


    def        A   (  self      :							Tuple):
           _A					:     Union[str, Any]     = list(self.get_tokenizer().get_vocab().keys())

           self.assertEqual(vocab_keys[0]				,							'<unk>')
           self.assertEqual(vocab_keys[1]				,							'<s>')
           self.assertEqual(vocab_keys[-1]				,							'[MASK]')
           self.assertEqual(len(SCREAMING_SNAKE_CASE)				,							1004)


    def        A   (  self      :							List[str]):
           self.assertEqual(self.get_tokenizer().vocab_size				,							1000)


    def        A   (  self      :							Union[str, Any]):
           if not self.test_rust_tokenizer:
                  return

           _A					:     Tuple     = self.get_tokenizer()
           _A					:     int     = self.get_rust_tokenizer()

           _A					:     Optional[Any]     = 'I was born in 92000, and this is falsé.'

           _A					:     List[str]     = tokenizer.tokenize(SCREAMING_SNAKE_CASE)
           _A					:     Optional[int]     = rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)

           _A					:     str     = tokenizer.encode(SCREAMING_SNAKE_CASE				,							add_special_tokens=SCREAMING_SNAKE_CASE)
           _A					:     List[str]     = rust_tokenizer.encode(SCREAMING_SNAKE_CASE				,							add_special_tokens=SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)

           _A					:     str     = self.get_rust_tokenizer()
           _A					:     List[Any]     = tokenizer.encode(SCREAMING_SNAKE_CASE)
           _A					:     Tuple     = rust_tokenizer.encode(SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)


    def        A   (  self      :							Any):
           _A					:     Dict     = BigBirdTokenizer(SCREAMING_SNAKE_CASE				,							keep_accents=SCREAMING_SNAKE_CASE)

           _A					:     int     = tokenizer.tokenize('This is a test')
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							['▁This', '▁is', '▁a', '▁t', 'est'])

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE)				,							[285, 46, 10, 170, 382]				,							)

           _A					:     List[Any]     = tokenizer.tokenize('I was born in 92000, and this is falsé.')
           self.assertListEqual(
               SCREAMING_SNAKE_CASE				,							[
                   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',
                   '.',
               ]				,							)
           _A					:     Union[str, Any]     = tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               SCREAMING_SNAKE_CASE				,							[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]				,							)

           _A					:     List[str]     = tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               SCREAMING_SNAKE_CASE				,							[
                   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      :							List[Any]):
           return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base')


    @slow
    def        A   (  self      :							Tuple):
           _A					:     Union[str, Any]     = 'Hello World!'
           _A					:     Optional[int]     = [65, 18536, 2260, 101, 66]

           self.assertListEqual(SCREAMING_SNAKE_CASE				,							self.big_tokenizer.encode(SCREAMING_SNAKE_CASE))


    @slow
    def        A   (  self      :							List[Any]):
           _A					:     Optional[int]     = (
               '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'
           )
           # fmt: off
           _A					:     str     = [65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
           # fmt: on
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							self.big_tokenizer.encode(SCREAMING_SNAKE_CASE))


    @require_torch
    @slow
    def        A   (  self      :							List[Any]):
           import torch

           from transformers import BigBirdConfig, BigBirdModel

           # Build sequence
           _A					:     Any     = list(self.big_tokenizer.get_vocab().keys())[:10]
           _A					:     Any     = ' '.join(SCREAMING_SNAKE_CASE)
           _A					:     List[Any]     = self.big_tokenizer.encode_plus(SCREAMING_SNAKE_CASE				,							return_tensors='pt'				,							return_token_type_ids=SCREAMING_SNAKE_CASE)
           _A					:     Optional[Any]     = self.big_tokenizer.batch_encode_plus(
               [sequence + ' ' + sequence]				,							return_tensors='pt'				,							return_token_type_ids=SCREAMING_SNAKE_CASE)

           _A					:     str     = BigBirdConfig(attention_type='original_full')
           _A					:     List[str]     = BigBirdModel(SCREAMING_SNAKE_CASE)

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

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


    @slow
    def        A   (  self      :							Optional[Any]):
           _A					:     List[str]     = BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base')
           _A					:     Tuple     = tokenizer.decode(tokenizer('Paris is the [MASK].').input_ids)

           self.assertTrue(decoded_text == '[CLS] Paris is the[MASK].[SEP]')


    @slow
    def        A   (  self      :							Optional[Any]):
           # fmt: off
           _A					:     List[str]     = {'input_ids': [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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=SCREAMING_SNAKE_CASE				,							model_name='google/bigbird-roberta-base'				,							revision='215c99f1600e06f83acce68422f2035b2b5c3510'				,							)










'''simple docstring'''







from __future__ import annotations


class 			__lowerCamelCase			:
    """simple docstring"""


    def __init__(  self      :							Optional[Any]				,							SCREAMING_SNAKE_CASE      :							Tuple=None):
           _A					:     Any     = data
           _A					:     Optional[Any]     = None


    def __repr__(  self      :							List[str]):
           _A					:     List[Any]     = []
           _A					:     Any     = self
           while temp:
                  string_rep.append(F'{temp.data}')
                  _A					:     List[Any]     = temp.next
           return "->".join(SCREAMING_SNAKE_CASE)






def 				lowerCAmelCase__	(    lowerCamelCase					:      list       ):
       if not elements_list:
              raise Exception('The Elements List is empty'       )

       _A					:     Union[str, Any]     = Node(elements_list[0]       )
       for i in range(1  ,len(lowerCamelCase       )       ):
              _A					:     Dict     = Node(elements_list[i]       )
              _A					:     int     = current.next
       return head






def 				lowerCAmelCase__	(    lowerCamelCase					:      Node       ):
       if head_node is not None and isinstance(lowerCamelCase  ,lowerCamelCase       ):
              print_reverse(head_node.next       )
              print(head_node.data       )






def 				lowerCAmelCase__	(    ):
       from doctest import testmod

       testmod()

       _A					:     List[str]     = make_linked_list([14, 52, 14, 12, 43]       )
       print('Linked List:'       )
       print(lowerCamelCase       )
       print('Elements in Reverse:'       )
       print_reverse(lowerCamelCase       )


if __name__ == "__main__":
   main()






