






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    :						Optional[int]		     =  get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")


@require_sentencepiece
@require_tokenizers
class      __SCREAMING_SNAKE_CASE(		UpperCamelCase__			,     unittest.TestCase		):
							_UpperCAmelCase       			=				GPTSwaTokenizer
							_UpperCAmelCase       			=				False
							_UpperCAmelCase       			=				True
							_UpperCAmelCase       			=				False
							def lowerCAmelCase_       (   self:					Optional[int]  )						->						List[Any]:
											super().setUp()

											# We have a SentencePiece fixture for testing
											snake_case__													=   GPTSwaTokenizer(UpperCamelCase_				,		eos_token='<unk>'				,		bos_token='<unk>'				,		pad_token='<unk>'  )

											tokenizer.save_pretrained(self.tmpdirname  )
							def lowerCAmelCase_       (   self:					Dict				,		UpperCamelCase:					Dict  )						->						int:
											snake_case__													=   'This is a test'
											snake_case__													=   'This is a test'
											return input_text, output_text
							def lowerCAmelCase_       (   self:					Optional[Any]  )						->						Optional[int]:
											snake_case__													=   '<s>'
											snake_case__													=   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[Any]  )						->						List[str]:
											snake_case__													=   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:					Union[str, Any]  )						->						Dict:
											self.assertEqual(self.get_tokenizer().vocab_size				,		20_00  )
							def lowerCAmelCase_       (   self:					Optional[int]  )						->						Optional[int]:
											snake_case__													=   GPTSwaTokenizer(UpperCamelCase_  )

											snake_case__													=   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]  )

											snake_case__													=   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

											snake_case__													=   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]				,		)

											snake_case__													=   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:					List[Any]  )						->						Optional[int]:
											snake_case__													=   GPTSwaTokenizer(UpperCamelCase_  )
											snake_case__													=   ['This is a test', 'I was born in 92000, and this is falsé.']
											snake_case__													=   [
											    [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:					Optional[int]  )						->						Dict:
											snake_case__													=   [
											    '<|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
											snake_case__													=   {'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 ..utils import DummyObject, requires_backends


class        _a							(			metaclass=UpperCamelCase__			):
							_lowercase	:			Any        = ['''torch''', '''scipy''']

							def __init__(							self:	int    ,						*UpperCamelCase_:	Any    ,						**UpperCamelCase_:	Optional[Any]							)			->   List[str]:





									"""simple docstring"""







									requires_backends(self    ,						['''torch''', '''scipy''']							)

							@classmethod
							def       lowerCamelCase_ (							cls:	Optional[int]    ,						*UpperCamelCase_:	Any    ,						**UpperCamelCase_:	List[Any]							)			->   int:





									"""simple docstring"""







									requires_backends(cls    ,						['''torch''', '''scipy''']							)


							@classmethod
							def       lowerCamelCase_ (							cls:	Any    ,						*UpperCamelCase_:	Any    ,						**UpperCamelCase_:	Dict							)			->   Optional[int]:





									"""simple docstring"""







									requires_backends(cls    ,						['''torch''', '''scipy''']							)


