



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


__snake_case     :Optional[int]			       ='▁'

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



@require_sentencepiece
class        lowerCAmelCase__					(  _lowerCamelCase ,				unittest.TestCase       ):
				A_   :     Union[str, Any]								=     BertGenerationTokenizer
				A_   :     List[str]								=     False
				A_   :     Optional[int]								=     True


				def __UpperCamelCase						(							self      :  int       )		->     Optional[int]:
											super().setUp()

											A      						=    BertGenerationTokenizer(__UpperCamelCase						, keep_accents=__UpperCamelCase       )
											tokenizer.save_pretrained(self.tmpdirname       )


				def __UpperCamelCase						(							self      :  Any       )		->     str:
											A      						=    '<s>'
											A      						=    1

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


				def __UpperCamelCase						(							self      :  Dict       )		->     Optional[Any]:
											A      						=    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(__UpperCamelCase       )						, 1_002       )


				def __UpperCamelCase						(							self      :  int       )		->     Tuple:
											self.assertEqual(self.get_tokenizer().vocab_size						, 1_000       )


				def __UpperCamelCase						(							self      :  List[str]       )		->     Dict:
											A      						=    BertGenerationTokenizer(__UpperCamelCase						, keep_accents=__UpperCamelCase       )

											A      						=    tokenizer.tokenize('This is a test'       )
											self.assertListEqual(__UpperCamelCase						, ['▁This', '▁is', '▁a', '▁t', 'est']       )

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

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

											A      						=    tokenizer.convert_ids_to_tokens(__UpperCamelCase       )
											self.assertListEqual(
											    __UpperCamelCase						, [
											        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 __UpperCamelCase						(							self      :  List[str]       )		->     str:
											return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'       )


				@slow
				def __UpperCamelCase						(							self      :  Dict       )		->     Optional[int]:
											A      						=    'Hello World!'
											A      						=    [18_536, 2_260, 101]

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


				@slow
				def __UpperCamelCase						(							self      :  List[str]       )		->     Optional[int]:
											A      						=    (
											    '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'
											)
											A      						=    [
											    871,
											    419,
											    358,
											    946,
											    991,
											    2_521,
											    452,
											    358,
											    1_357,
											    387,
											    7_751,
											    3_536,
											    112,
											    985,
											    456,
											    126,
											    865,
											    938,
											    5_400,
											    5_734,
											    458,
											    1_368,
											    467,
											    786,
											    2_462,
											    5_246,
											    1_159,
											    633,
											    865,
											    4_519,
											    457,
											    582,
											    852,
											    2_557,
											    427,
											    916,
											    508,
											    405,
											    34_324,
											    497,
											    391,
											    408,
											    11_342,
											    1_244,
											    385,
											    100,
											    938,
											    985,
											    456,
											    574,
											    362,
											    12_597,
											    3_200,
											    3_129,
											    1_172,
											]

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


				@require_torch
				@slow
				def __UpperCamelCase						(							self      :  Optional[int]       )		->     Tuple:
											import torch

											from transformers import BertGenerationConfig, BertGenerationEncoder

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

											A      						=    BertGenerationConfig()
											A      						=    BertGenerationEncoder(__UpperCamelCase       )

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

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


				@slow
				def __UpperCamelCase						(							self      :  Optional[int]       )		->     str:
											# fmt: off
											A      						=    {'input_ids': [[39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114], [448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=__UpperCamelCase						, model_name='google/bert_for_seq_generation_L-24_bbc_encoder'						, revision='c817d1fd1be2ffa69431227a1fe320544943d4db'						, )




__snake_case     :Any			       =256
# Modulus to hash a string
__snake_case     :Optional[int]			       =1000003






def  lowerCamelCase_	(      lowerCAmelCase__	:	str			,	lowerCAmelCase__	:	str				)       ->							bool:

							'''simple docstring'''






							A      						=    len(lowerCAmelCase__				)
							A      						=    len(lowerCAmelCase__				)
							if p_len > t_len:
														return False

							A      						=    0
							A      						=    0
							A      						=    1

							# Calculating the hash of pattern and substring of text
							for i in range(lowerCAmelCase__				):
														A      						=    (ord(pattern[i]				) + p_hash * alphabet_size) % modulus
														A      						=    (ord(text[i]				) + text_hash * alphabet_size) % modulus
														if i == p_len - 1:
																					continue
														A      						=    (modulus_power * alphabet_size) % modulus

							for i in range(0			,	t_len - p_len + 1				):
														if text_hash == p_hash and text[i : i + p_len] == pattern:
																					return True
														if i == t_len - p_len:
																					continue
														# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
														A      						=    (
														    (text_hash - ord(text[i]				) * modulus_power) * alphabet_size
														    + ord(text[i + p_len]				)
														) % modulus
							return False






def  lowerCamelCase_	(      )       ->							None:

							'''simple docstring'''






							A      						=    'abc1abc12'
							A      						=    'alskfjaldsabc1abc1abc12k23adsfabcabc'
							A      						=    'alskfjaldsk23adsfabcabc'
							assert rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				) and not rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				)

							# Test 2)
							A      						=    'ABABX'
							A      						=    'ABABZABABYABABX'
							assert rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				)

							# Test 3)
							A      						=    'AAAB'
							A      						=    'ABAAAAAB'
							assert rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				)

							# Test 4)
							A      						=    'abcdabcy'
							A      						=    'abcxabcdabxabcdabcdabcy'
							assert rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				)

							# Test 5)
							A      						=    'Lü'
							A      						=    'Lüsai'
							assert rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				)
							A      						=    'Lue'
							assert not rabin_karp(lowerCAmelCase__			,	lowerCAmelCase__				)
							print('Success.'				)


if __name__ == "__main__":
				test_rabin_karp()