


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


lowerCamelCase		   =			'▁'

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




@require_sentencepiece
@require_tokenizers
class A    (  UpperCamelCase_       ,				unittest.TestCase	):
      UpperCamelCase__				:    Optional[int] =BigBirdTokenizer
      UpperCamelCase__				:    str =BigBirdTokenizerFast
      UpperCamelCase__				:    Tuple =True
      UpperCamelCase__				:    Optional[Any] =True






      def 			lowerCamelCase			(   self		:	List[Any]					)   ->		Tuple:
             """simple docstring"""




             super().setUp()

             _lowerCamelCase			:						str            =self.tokenizer_class(__A     ,  keep_accents=__A					)
             tokenizer.save_pretrained(self.tmpdirname					)






      def 			lowerCamelCase			(   self		:	List[Any]					)   ->		List[Any]:
             """simple docstring"""




             _lowerCamelCase			:						str            ='''<s>'''
             _lowerCamelCase			:						Union[str, Any]            =1

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






      def 			lowerCamelCase			(   self		:	Union[str, Any]					)   ->		Any:
             """simple docstring"""




             _lowerCamelCase			:						str            =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(__A					)     ,  1004					)






      def 			lowerCamelCase			(   self		:	Any					)   ->		Optional[Any]:
             """simple docstring"""




             self.assertEqual(self.get_tokenizer().vocab_size     ,  1000					)






      def 			lowerCamelCase			(   self		:	List[str]					)   ->		str:
             """simple docstring"""




             if not self.test_rust_tokenizer:
                    return

             _lowerCamelCase			:						Dict            =self.get_tokenizer()
             _lowerCamelCase			:						List[Any]            =self.get_rust_tokenizer()

             _lowerCamelCase			:						Union[str, Any]            ='''I was born in 92000, and this is falsé.'''

             _lowerCamelCase			:						List[Any]            =tokenizer.tokenize(__A					)
             _lowerCamelCase			:						Optional[int]            =rust_tokenizer.tokenize(__A					)
             self.assertListEqual(__A     ,  __A					)

             _lowerCamelCase			:						Union[str, Any]            =tokenizer.encode(__A     ,  add_special_tokens=__A					)
             _lowerCamelCase			:						List[Any]            =rust_tokenizer.encode(__A     ,  add_special_tokens=__A					)
             self.assertListEqual(__A     ,  __A					)

             _lowerCamelCase			:						Dict            =self.get_rust_tokenizer()
             _lowerCamelCase			:						int            =tokenizer.encode(__A					)
             _lowerCamelCase			:						Dict            =rust_tokenizer.encode(__A					)
             self.assertListEqual(__A     ,  __A					)






      def 			lowerCamelCase			(   self		:	List[str]					)   ->		str:
             """simple docstring"""




             _lowerCamelCase			:						Optional[Any]            =BigBirdTokenizer(__A     ,  keep_accents=__A					)

             _lowerCamelCase			:						str            =tokenizer.tokenize('This is a test'					)
             self.assertListEqual(__A     ,  ['▁This', '▁is', '▁a', '▁t', 'est']					)

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

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

             _lowerCamelCase			:						Optional[Any]            =tokenizer.convert_ids_to_tokens(__A					)
             self.assertListEqual(
                 __A     ,  [
                     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 			lowerCamelCase			(   self		:	Optional[Any]					)   ->		Union[str, Any]:
             """simple docstring"""




             return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'					)






      @slow
      def 			lowerCamelCase			(   self		:	str					)   ->		Any:
             """simple docstring"""




             _lowerCamelCase			:						str            ='''Hello World!'''
             _lowerCamelCase			:						Dict            =[65, 1_8536, 2260, 101, 66]

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






      @slow
      def 			lowerCamelCase			(   self		:	List[str]					)   ->		Optional[int]:
             """simple docstring"""




             _lowerCamelCase			:						Union[str, Any]            =(
                 '''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
             _lowerCamelCase			:						List[Any]            =[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, 3_4324, 497, 391, 408, 1_1342, 1244, 385, 100, 938, 985, 456, 574, 362, 1_2597, 3200, 3129, 1172, 66]  # noqa: E231
             # fmt: on
             self.assertListEqual(__A     ,  self.big_tokenizer.encode(__A					)					)






      @require_torch
      @slow
      def 			lowerCamelCase			(   self		:	str					)   ->		int:
             """simple docstring"""




             import torch

             from transformers import BigBirdConfig, BigBirdModel

             # Build sequence
             _lowerCamelCase			:						Optional[int]            =list(self.big_tokenizer.get_vocab().keys()					)[:10]
             _lowerCamelCase			:						Any            =''' '''.join(__A					)
             _lowerCamelCase			:						int            =self.big_tokenizer.encode_plus(__A     ,  return_tensors='pt'     ,  return_token_type_ids=__A					)
             _lowerCamelCase			:						Tuple            =self.big_tokenizer.batch_encode_plus(
                 [sequence + ' ' + sequence]     ,  return_tensors='pt'     ,  return_token_type_ids=__A					)

             _lowerCamelCase			:						Union[str, Any]            =BigBirdConfig(attention_type='original_full'					)
             _lowerCamelCase			:						Tuple            =BigBirdModel(__A					)

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

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






      @slow
      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		Tuple:
             """simple docstring"""




             _lowerCamelCase			:						Any            =BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'					)
             _lowerCamelCase			:						List[Any]            =tokenizer.decode(tokenizer('Paris is the [MASK].'					).input_ids					)

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






      @slow
      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		Any:
             """simple docstring"""




             _lowerCamelCase			:						Optional[int]            ={'''input_ids''': [[65, 3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114, 66], [65, 448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 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, 2_1932, 1_8146, 726, 363, 1_7032, 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=__A     ,  model_name='google/bigbird-roberta-base'     ,  revision='215c99f1600e06f83acce68422f2035b2b5c3510'     ,  )




from collections.abc import Sequence
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Sequence[int] | None = None				)			->						int:
       if nums is None or not nums:
              raise ValueError('''Input sequence should not be empty'''				)

       SCREAMING_SNAKE_CASE_							:				Tuple		=nums[0]
       for i in range(1			,							len(UpperCAmelCase_				)				):
              SCREAMING_SNAKE_CASE_							:				Any		=nums[i]
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=max(UpperCAmelCase_			,							ans + num			,							UpperCAmelCase_				)

       return ans


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # Try on a sample input from the user
 _lowercase											=    int(input("""Enter number of elements : """).strip())
 _lowercase											=    list(map(int, input("""\nEnter the numbers : """).strip().split()))[:n]
 print(max_subsequence_sum(array))
