





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase_									={
    """configuration_swinv2""": ["""SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Swinv2Config"""],
}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_									=[
						    """SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """Swinv2ForImageClassification""",
						    """Swinv2ForMaskedImageModeling""",
						    """Swinv2Model""",
						    """Swinv2PreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_swinva import (
												    SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
												    SwinvaForImageClassification,
												    SwinvaForMaskedImageModeling,
												    SwinvaModel,
												    SwinvaPreTrainedModel,
												)


else:
						import sys

						UpperCamelCase_									=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""




import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
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.model""")

if is_sentencepiece_available():
						import sentencepiece as sp


UpperCamelCase_									=5
UpperCamelCase_									=10




@require_sentencepiece
@require_tokenizers
class 			_a						(				_lowerCAmelCase     ,    unittest.TestCase    ):
				UpperCamelCase								=   SpeechaTextTokenizer
				UpperCamelCase								=   False
				UpperCamelCase								=   True






				def     snake_case     (			self		:   Tuple							)     ->				Optional[Any]:




										'''simple docstring'''



										super().setUp()

										_UpperCamelCase      : Dict         =   sp.SentencePieceProcessor()
										spm_model.Load(lowerCAmelCase__							)
										_UpperCamelCase      : Union[str, Any]         =   ['''<s>''', '''<pad>''', '''</s>''', '''<unk>''']

										vocab += [spm_model.IdToPiece(id_							) for id_ in range(len(lowerCAmelCase__							)							)]
										_UpperCamelCase      : Tuple         =   dict(zip(lowerCAmelCase__,			range(len(lowerCAmelCase__							)							)							)							)

										_UpperCamelCase      : Dict         =   Path(self.tmpdirname							)
										save_json(lowerCAmelCase__,			save_dir / VOCAB_FILES_NAMES['''vocab_file''']							)
										if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
																copyfile(lowerCAmelCase__,			save_dir / VOCAB_FILES_NAMES['''spm_file''']							)

										_UpperCamelCase      : List[str]         =   SpeechaTextTokenizer.from_pretrained(self.tmpdirname							)
										tokenizer.save_pretrained(self.tmpdirname							)






				def     snake_case     (			self		:   str							)     ->				str:




										'''simple docstring'''



										_UpperCamelCase      : List[str]         =   '''<pad>'''
										_UpperCamelCase      : List[Any]         =   1

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






				def     snake_case     (			self		:   Any							)     ->				Optional[int]:




										'''simple docstring'''



										_UpperCamelCase      : int         =   list(self.get_tokenizer().get_vocab().keys()							)

										self.assertEqual(vocab_keys[0],			'''<s>'''							)
										self.assertEqual(vocab_keys[1],			'''<pad>'''							)
										self.assertEqual(vocab_keys[-1],			'''j'''							)
										self.assertEqual(len(lowerCAmelCase__							),			1_0_0_1							)






				def     snake_case     (			self		:   Any							)     ->				Dict:




										'''simple docstring'''



										self.assertEqual(self.get_tokenizer().vocab_size,			1_0_0_1							)






				def     snake_case     (			self		:   List[Any]							)     ->				Tuple:




										'''simple docstring'''



										_UpperCamelCase      : Optional[int]         =   SpeechaTextTokenizer.from_pretrained(self.tmpdirname							)

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

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(lowerCAmelCase__							),			[2_8_9, 5_0, 1_4, 1_7_4, 3_8_6],			)

										_UpperCamelCase      : List[str]         =   tokenizer.tokenize('''I was born in 92000, and this is falsé.'''							)
										self.assertListEqual(
										    lowerCAmelCase__,			[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''', '''.'''],			)
										_UpperCamelCase      : Optional[Any]         =   tokenizer.convert_tokens_to_ids(lowerCAmelCase__							)
										self.assertListEqual(lowerCAmelCase__,			[1_2, 2_5, 8_8, 5_9, 2_8, 2_3, 1_1, 4, 6_0_6, 3_5_1, 3_5_1, 3_5_1, 7, 1_6, 7_0, 5_0, 7_6, 8_4, 1_0, 4, 8]							)

										_UpperCamelCase      : Union[str, Any]         =   tokenizer.convert_ids_to_tokens(lowerCAmelCase__							)
										self.assertListEqual(
										    lowerCAmelCase__,			[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>''', '''.'''],			)






				@slow
				def     snake_case     (			self		:   List[str]							)     ->				Union[str, Any]:




										'''simple docstring'''



										_UpperCamelCase      : Any         =   {'''input_ids''': [[3_7_9_1, 7_9_7, 3_1, 1_1, 6_4, 7_9_7, 3_1, 2_4_2_9, 4_3_3, 1_2, 1_1_7_6, 1_2, 2_0, 7_8_6, 9_1_5, 1_4_2, 2_4_1_3, 2_4_0, 3_7, 3_2_3_8, 7_9_7, 3_1, 1_1, 3_5, 9_3, 9_1_5, 1_4_2, 2_4_1_3, 2_4_0, 3_7, 5_5_4_0, 5_6_7, 1_2_7_6, 9_3, 3_7, 6_1_0, 4_0, 6_2, 4_5_5, 6_5_7, 1_0_4_2, 1_2_3, 7_8_0, 1_7_7, 3_7, 3_0_9, 2_4_1, 1_2_9_8, 5_1_4, 2_0, 2_9_2, 2_7_3_7, 1_1_4, 2_4_6_9, 2_4_1, 8_5, 6_4, 3_0_2, 5_4_8, 5_2_8, 4_2_3, 4, 5_0_9, 4_0_6, 4_2_3, 3_7, 6_0_1, 4, 7_7_7, 3_0_2, 5_4_8, 5_2_8, 4_2_3, 2_8_4, 4, 3_3_8_8, 5_1_1, 4_5_9, 4, 3_5_5_5, 4_0, 3_2_1, 3_0_2, 7_0_5, 4, 3_3_8_8, 5_1_1, 5_8_3, 3_2_6, 5, 5, 5, 6_2, 3_3_1_0, 5_6_0, 1_7_7, 2_6_8_0, 2_1_7, 1_5_0_8, 3_2, 3_1, 8_5_3, 4_1_8, 6_4, 5_8_3, 5_1_1, 1_6_0_5, 6_2, 3_5, 9_3, 5_6_0, 1_7_7, 2_6_8_0, 2_1_7, 1_5_0_8, 1_5_2_1, 6_4, 5_8_3, 5_1_1, 5_1_9, 6_2, 2_0, 1_5_1_5, 7_6_4, 2_0, 1_4_9, 2_6_1, 5_6_2_5, 7_9_7_2, 2_0, 5_5_4_0, 5_6_7, 1_2_7_6, 9_3, 3_9_2_5, 1_6_7_5, 1_1, 1_5, 8_0_2, 7_9_7_2, 5_7_6, 2_1_7, 1_5_0_8, 1_1, 3_5, 9_3, 1_2_5_3, 2_4_4_1, 1_5, 2_8_9, 6_5_2, 3_1, 4_1_6, 3_2_1, 3_8_4_2, 1_1_5, 4_0, 9_1_1, 8, 4_7_6, 6_1_9, 4, 3_8_0, 1_4_2, 4_2_3, 3_3_5, 2_4_0, 3_5, 9_3, 2_6_4, 8, 1_1, 3_3_5, 5_6_9, 4_2_0, 1_6_3, 5, 2], [2_6_0, 5_4_8, 5_2_8, 4_2_3, 2_0, 4_5_1, 2_0, 2_6_8_1, 1_1_5_3, 3_4_3_4, 2_0, 5_5_4_0, 3_7, 5_6_7, 1_2_6, 1_2_5_3, 2_4_4_1, 3_3_7_6, 4_4_9, 2_1_0, 4_3_1, 1_5_6_3, 1_7_7, 7_6_7, 5_5_4_0, 1_1, 1_2_0_3, 4_7_2, 1_1, 2_9_5_3, 6_8_5, 2_8_5, 3_6_4, 7_0_6, 1_1_5_3, 2_0, 6_7_9_9, 2_0, 2_8_6_9, 2_0, 4_4_6_4, 1_2_6, 4_0, 2_4_2_9, 2_0, 1_0_4_0, 8_6_6, 2_6_6_4, 4_1_8, 2_0, 3_1_8, 2_0, 1_7_2_6, 1_8_6, 2_0, 2_6_5, 5_2_2, 3_5, 9_3, 2_1_9_1, 4_6_3_4, 2_0, 1_0_4_0, 1_2, 6_7_9_9, 1_5, 2_2_8, 2_3_5_6, 1_4_2, 3_1, 1_1, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [2_5_7_5, 2_6_6_6, 6_8_4, 1_5_8_2, 1_1_7_6, 1_2, 6_2_7, 1_4_9, 6_1_9, 2_0, 4_9_0_2, 5_6_3, 1_1, 2_0, 1_4_9, 2_6_1, 3_4_2_0, 2_3_5_6, 1_7_4, 1_4_2, 4_7_1_4, 1_3_1, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=lowerCAmelCase__,			model_name='''facebook/s2t-small-mustc-en-de-st''',			revision='''a14f04cf0776c02f62a8cb800cf7909e15ea23ad''',			)




@require_sentencepiece
class 			_a						(				unittest.TestCase    ):
				UpperCamelCase								=   '''valhalla/s2t_mustc_multilinguial_medium'''

				UpperCamelCase								=   '''C\'est trop cool'''
				UpperCamelCase								=   '''Esto es genial'''






				@classmethod
				def     snake_case     (			cls		:   Dict							)     ->				str:




										'''simple docstring'''



										_UpperCamelCase      : SpeechaTextTokenizer         =   SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name							)
										return cls






				def     snake_case     (			self		:   Tuple							)     ->				List[str]:




										'''simple docstring'''



										self.assertEqual(self.tokenizer.lang_code_to_id['''pt'''],			4							)
										self.assertEqual(self.tokenizer.lang_code_to_id['''ru'''],			6							)
										self.assertEqual(self.tokenizer.lang_code_to_id['''it'''],			9							)
										self.assertEqual(self.tokenizer.lang_code_to_id['''de'''],			1_1							)






				def     snake_case     (			self		:   List[str]							)     ->				Union[str, Any]:




										'''simple docstring'''



										self.assertEqual(self.tokenizer.vocab_size,			1_0_0_0_0							)






				def     snake_case     (			self		:   Any							)     ->				Union[str, Any]:




										'''simple docstring'''



										self.assertIn(lowerCAmelCase__,			self.tokenizer.all_special_ids							)
										_UpperCamelCase      : List[Any]         =   [ES_CODE, 4, 1_6_0_1, 4_7, 7_6_4_7, 2]
										_UpperCamelCase      : Optional[Any]         =   self.tokenizer.decode(lowerCAmelCase__,			skip_special_tokens=lowerCAmelCase__							)
										_UpperCamelCase      : Optional[int]         =   self.tokenizer.decode(generated_ids[1:],			skip_special_tokens=lowerCAmelCase__							)
										self.assertEqual(lowerCAmelCase__,			lowerCAmelCase__							)
										self.assertNotIn(self.tokenizer.eos_token,			lowerCAmelCase__							)






				def     snake_case     (			self		:   List[str]							)     ->				List[str]:




										'''simple docstring'''



										_UpperCamelCase      : Dict         =   '''fr'''
										_UpperCamelCase      : int         =   self.tokenizer(self.french_text							).input_ids
										self.assertEqual(encoded[0],			lowerCAmelCase__							)
										self.assertEqual(encoded[-1],			self.tokenizer.eos_token_id							)






				def     snake_case     (			self		:   Union[str, Any]							)     ->				Union[str, Any]:




										'''simple docstring'''



										_UpperCamelCase      : Dict         =   '''fr'''
										self.assertListEqual(self.tokenizer.prefix_tokens,			[FR_CODE]							)

										_UpperCamelCase      : List[str]         =   '''es'''
										self.assertListEqual(self.tokenizer.prefix_tokens,			[ES_CODE]							)



