'''simple docstring'''







import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_      	=	get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model''')




@require_sentencepiece
@require_tokenizers
class _SCREAMING_SNAKE_CASE(							lowercase_						,						unittest.TestCase					):
						A_			:							Tuple     		= GPTSwaTokenizer
						A_			:							List[str]     		= False
						A_			:							int     		= True
						A_			:							int     		= False




						def      __lowerCamelCase       (    self :       List[str]      )     ->				Dict:
													super().setUp()

													# We have a SentencePiece fixture for testing
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = GPTSwaTokenizer(UpperCamelCase_							,							eos_token='<unk>'							,							bos_token='<unk>'							,							pad_token='<unk>'      )

													tokenizer.save_pretrained(self.tmpdirname      )




						def      __lowerCamelCase       (    self :       Dict							,							UpperCamelCase_ :       Optional[int]      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :Dict						    = 'This is a test'
													SCREAMING_SNAKE_CASE__     :List[str]						    = 'This is a test'
													return input_text, output_text




						def      __lowerCamelCase       (    self :       Dict      )     ->				int:
													SCREAMING_SNAKE_CASE__     :Tuple						    = '<s>'
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = 1

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




						def      __lowerCamelCase       (    self :       List[str]      )     ->				List[Any]:
													SCREAMING_SNAKE_CASE__     :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]							,							'j'      )
													self.assertEqual(len(UpperCamelCase_      )							,							20_00      )




						def      __lowerCamelCase       (    self :       Optional[int]      )     ->				Optional[Any]:
													self.assertEqual(self.get_tokenizer().vocab_size							,							20_00      )




						def      __lowerCamelCase       (    self :       Optional[Any]      )     ->				Optional[int]:
													SCREAMING_SNAKE_CASE__     :int						    = GPTSwaTokenizer(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Any						    = tokenizer.tokenize('This is a test'      )
													self.assertListEqual(UpperCamelCase_							,							['▁This', '▁is', '▁a', '▁t', 'est']      )

													self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_      )							,							[4_65, 2_87, 2_65, 6_31, 8_42]      )

													SCREAMING_SNAKE_CASE__     :List[str]						    = tokenizer.tokenize('I was born in 92000, and this is falsé.'      )
													# fmt: off
													self.assertListEqual(
													    UpperCamelCase_							,							['▁I', '▁was', '▁bor', 'n', '▁in', '▁', '<0x39>', '2', '0', '0', '0', ',', '▁and', '▁this', '▁is', '▁f', 'al', 's', '<0xC3>', '<0xA9>', '.']							,							)
													# fmt: on

													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = tokenizer.convert_tokens_to_ids(UpperCamelCase_      )
													self.assertListEqual(
													    UpperCamelCase_							,							[2_62, 2_72, 15_25, 2_86, 2_71, 2_68, 60, 9_16, 6_33, 6_33, 6_33, 2_59, 2_66, 3_01, 2_87, 3_84, 3_67, 2_63, 1_98, 1_72, 2_60]							,							)

													SCREAMING_SNAKE_CASE__     :List[Any]						    = tokenizer.convert_ids_to_tokens(UpperCamelCase_      )
													# fmt: off
													self.assertListEqual(
													    UpperCamelCase_							,							['▁I', '▁was', '▁bor', 'n', '▁in', '▁', '<0x39>', '2', '0', '0', '0', ',', '▁and', '▁this', '▁is', '▁f', 'al', 's', '<0xC3>', '<0xA9>', '.']      )
													# fmt: on




						def      __lowerCamelCase       (    self :       Optional[int]      )     ->				Optional[Any]:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = GPTSwaTokenizer(UpperCamelCase_      )
													SCREAMING_SNAKE_CASE__     :List[Any]						    = ['This is a test', 'I was born in 92000, and this is falsé.']
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = [
													    [4_65, 2_87, 2_65, 6_31, 8_42],
													    [2_62, 2_72, 15_25, 2_86, 2_71, 2_68, 60, 9_16, 6_33, 6_33, 6_33, 2_59, 2_66, 3_01, 2_87, 3_84, 3_67, 2_63, 1_98, 1_72, 2_60],
													]

													# Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
													for text, expected_ids in zip(UpperCamelCase_							,							UpperCamelCase_      ):
																				self.assertListEqual(tokenizer.encode_fast(UpperCamelCase_      )							,							UpperCamelCase_      )

													# Test that decode_fast returns the input text
													for text, token_ids in zip(UpperCamelCase_							,							UpperCamelCase_      ):
																				self.assertEqual(tokenizer.decode_fast(UpperCamelCase_      )							,							UpperCamelCase_      )




						@slow
						def      __lowerCamelCase       (    self :       str      )     ->				int:
													SCREAMING_SNAKE_CASE__     :List[str]						    = [
													    '<|python|>def fibonacci(n)\n    if n < 0:\n        print(\'Incorrect input\')',
													    'Hey there, how are you doing this fine day?',
													    'This is a text with a trailing spaces followed by a dot     .',
													    'Häj sväjs lillebrör! =)',
													    'Det är inget fel på Mr. Cool',
													]

													# fmt: off
													SCREAMING_SNAKE_CASE__     :Dict						    = {'input_ids': [[6_34_23, 5, 68_11, 1_49_54, 2_82, 8_16, 38_21, 6_34_66, 6_34_25, 6_34_62, 18, 6_39_78, 6_78, 3_01, 13_20, 6_34_23, 6_34_55, 6_34_58, 18, 6_39_82, 42_46, 39_40, 19_01, 4_77_89, 55_47, 1_89_94], [1_96_30, 11_00, 6_34_46, 13_42, 6_33, 5_44, 44_88, 5_93, 51_02, 24_16, 6_34_95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [16_52, 4_28, 2_68, 19_36, 5_15, 2_68, 5_85_93, 2_24_13, 91_06, 5_46, 2_68, 3_32_13, 6_39_79, 6_98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_51_30, 6_34_50, 9_24, 6_34_49, 22_49, 40_62, 15_58, 3_18, 6_35_04, 2_14_98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_09, 3_77, 28_27, 25_59, 3_32, 65_75, 6_34_43, 2_68_01, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 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, 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, 1, 1, 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], [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]]}
													# fmt: on
													self.tokenizer_integration_test_util(
													    expected_encoding=UpperCamelCase_							,							model_name='AI-Sweden/gpt-sw3-126m'							,							sequences=UpperCamelCase_							,							)














from ....configuration_utils import PretrainedConfig
from ....utils import logging


__a   :							List[Any]						= logging.get_logger(__name__)

# TODO: upload to AWS
__a   :							Union[str, Any]						= {
    "yjernite/retribert-base-uncased": (
        "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"
    ),
}


class    __lowercase   (						lowercase_	):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE     =					"retribert"




     def __init__(					self							:      Any			,						UpperCamelCase_							:      int=30_522			,						UpperCamelCase_							:      Optional[int]=768			,						UpperCamelCase_							:      Union[str, Any]=8			,						UpperCamelCase_							:      Tuple=12			,						UpperCamelCase_							:      List[Any]=3_072			,						UpperCamelCase_							:      Tuple="gelu"			,						UpperCamelCase_							:      str=0.1			,						UpperCamelCase_							:      Dict=0.1			,						UpperCamelCase_							:      List[str]=512			,						UpperCamelCase_							:      Optional[int]=2			,						UpperCamelCase_							:      Tuple=0.02			,						UpperCamelCase_							:      List[str]=1e-12			,						UpperCamelCase_							:      Any=True			,						UpperCamelCase_							:      List[Any]=128			,						UpperCamelCase_							:      Union[str, Any]=0			,						**UpperCamelCase_							:      List[str]			,						):


         """simple docstring"""



         super().__init__(pad_token_id=UpperCamelCase_			,						**UpperCamelCase_					)

         __A       =						vocab_size
         __A       =						hidden_size
         __A       =						num_hidden_layers
         __A       =						num_attention_heads
         __A       =						hidden_act
         __A       =						intermediate_size
         __A       =						hidden_dropout_prob
         __A       =						attention_probs_dropout_prob
         __A       =						max_position_embeddings
         __A       =						type_vocab_size
         __A       =						initializer_range
         __A       =						layer_norm_eps
         __A       =						share_encoders
         __A       =						projection_dim




