

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


snake_case_        =			'''▁'''

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


@require_sentencepiece
@require_tokenizers
class 				SCREAMING_SNAKE_CASE__ (__snake_case		,	unittest.TestCase					):
    __lowerCamelCase						:	Any														=					BigBirdTokenizer
    __lowerCamelCase						:	Dict														=					BigBirdTokenizerFast
    __lowerCamelCase						:	Tuple														=					True
    __lowerCamelCase						:	Optional[Any]														=					True





    def 				snake_case_    (				self):
         super().setUp()

         lowercase__   :       Union[str, Any]				=	self.tokenizer_class(a						,       keep_accents=a)
         tokenizer.save_pretrained(self.tmpdirname)





    def 				snake_case_    (				self):
         lowercase__   :       str				=	'<s>'
         lowercase__   :       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 				snake_case_    (				self):
         lowercase__   :       Tuple				=	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 				snake_case_    (				self):
         self.assertEqual(self.get_tokenizer().vocab_size						,       1000)





    def 				snake_case_    (				self):
         if not self.test_rust_tokenizer:
              return

         lowercase__   :       Optional[Any]				=	self.get_tokenizer()
         lowercase__   :       List[Any]				=	self.get_rust_tokenizer()

         lowercase__   :       Any				=	'I was born in 92000, and this is falsé.'

         lowercase__   :       Any				=	tokenizer.tokenize(a)
         lowercase__   :       Tuple				=	rust_tokenizer.tokenize(a)
         self.assertListEqual(a						,       a)

         lowercase__   :       str				=	tokenizer.encode(a						,       add_special_tokens=a)
         lowercase__   :       Union[str, Any]				=	rust_tokenizer.encode(a						,       add_special_tokens=a)
         self.assertListEqual(a						,       a)

         lowercase__   :       Union[str, Any]				=	self.get_rust_tokenizer()
         lowercase__   :       str				=	tokenizer.encode(a)
         lowercase__   :       str				=	rust_tokenizer.encode(a)
         self.assertListEqual(a						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       Dict				=	BigBirdTokenizer(a						,       keep_accents=a)

         lowercase__   :       List[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]						,       )

         lowercase__   :       int				=	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',
                 '.',
             ]						,       )
         lowercase__   :       Any				=	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]						,       )

         lowercase__   :       Union[str, 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 				snake_case_    (				self):
         return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base')





    @slow
    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	'Hello World!'
         lowercase__   :       Union[str, Any]				=	[65, 1_8536, 2260, 101, 66]

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





    @slow
    def 				snake_case_    (				self):
         lowercase__   :       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
         lowercase__   :       List[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, 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 				snake_case_    (				self):
         import torch

         from transformers import BigBirdConfig, BigBirdModel

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

         lowercase__   :       Tuple				=	BigBirdConfig(attention_type='original_full')
         lowercase__   :       Any				=	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 				snake_case_    (				self):
         lowercase__   :       Tuple				=	BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base')
         lowercase__   :       Tuple				=	tokenizer.decode(tokenizer('Paris is the [MASK].').input_ids)

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





    @slow
    def 				snake_case_    (				self):
         # fmt: off
         lowercase__   :       Dict				=	{'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 __future__ import annotations


class 				SCREAMING_SNAKE_CASE__ :





    def __init__(				self						,       a						,       a):
         lowercase__				,			lowercase__   :       Dict				=	text, pattern
         lowercase__				,			lowercase__   :       Any				=	len(a), len(a)





    def 				snake_case_    (				self						,       a):

         for i in range(self.patLen - 1						,       -1						,       -1):
              if char == self.pattern[i]:
                   return i
         return -1





    def 				snake_case_    (				self						,       a):

         for i in range(self.patLen - 1						,       -1						,       -1):
              if self.pattern[i] != self.text[current_pos + i]:
                   return current_pos + i
         return -1





    def 				snake_case_    (				self):
         # searches pattern in text and returns index positions
         lowercase__   :       Any				=	[]
         for i in range(self.textLen - self.patLen + 1):
              lowercase__   :       Optional[Any]				=	self.mismatch_in_text(a)
              if mismatch_index == -1:
                   positions.append(a)
              else:
                   lowercase__   :       Optional[int]				=	self.match_in_pattern(self.text[mismatch_index])
                   lowercase__   :       Optional[Any]				=	(
                       mismatch_index - match_index
                   )  # shifting index lgtm [py/multiple-definition]
         return positions



snake_case_        =			'''ABAABA'''
snake_case_        =			'''AB'''
snake_case_        =			BoyerMooreSearch(text, pattern)
snake_case_        =			bms.bad_character_heuristic()

if len(positions) == 0:
       print('''No match found''')
else:
       print('''Pattern found in following positions: ''')
       print(positions)

