




import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase


@require_tokenizers
class 				__UpperCamelCase      (			unittest.TestCase	):





				'''simple docstring'''



				__a				:			Union[str, Any]					    =EsmTokenizer



				def    __snake_case		(			self    ):
											super().setUp()
											lowerCAmelCase =		tempfile.mkdtemp()
											# fmt: off
											lowerCAmelCase =		["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
											# fmt: on
											lowerCAmelCase =		os.path.join(self.tmpdirname							,			VOCAB_FILES_NAMES['''vocab_file''']    )
											with open(self.vocab_file							,			'''w'''							,			encoding='''utf-8'''    ) as vocab_writer:
																		vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]    )    )



				def    __snake_case		(			self							,			**UpperCAmelCase_    ):
											return [self.get_tokenizer(**UpperCAmelCase_    )]



				def    __snake_case		(			self							,			**UpperCAmelCase_    ):
											return self.tokenizer_class.from_pretrained(self.tmpdirname							,			**UpperCAmelCase_    )



				def    __snake_case		(			self    ):
											lowerCAmelCase =		self.tokenizer_class(self.vocab_file    )

											lowerCAmelCase =		tokenizer.tokenize('''LAGVS'''    )
											self.assertListEqual(UpperCAmelCase_							,			['''L''', '''A''', '''G''', '''V''', '''S''']    )
											self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_    )							,			[4, 5, 6, 7, 8]    )



				def    __snake_case		(			self    ):
											lowerCAmelCase =		self.tokenizer_class(self.vocab_file    )

											lowerCAmelCase =		'''LAGVS'''
											self.assertListEqual(tokenizer.encode(UpperCAmelCase_    )							,			[0, 4, 5, 6, 7, 8, 2]    )



				def    __snake_case		(			self    ):
											lowerCAmelCase =		self.tokenizer_class(self.vocab_file    )

											lowerCAmelCase =		['''LAGVS''', '''WCB''']
											lowerCAmelCase =		tokenizer(UpperCAmelCase_							,			padding=UpperCAmelCase_    )['''input_ids''']

											self.assertListEqual(UpperCAmelCase_							,			[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]    )



				def    __snake_case		(			self    ):
											lowerCAmelCase =		self.tokenizer_class(self.vocab_file    )

											lowerCAmelCase =		['''LAGVS''', '''WCB''']
											lowerCAmelCase =		tokenizer(UpperCAmelCase_							,			padding=UpperCAmelCase_    )['''input_ids''']

											self.assertListEqual(UpperCAmelCase_							,			[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]    )






				def    __snake_case		(			self    ):
											lowerCAmelCase =		self.get_tokenizers(fast=UpperCAmelCase_    )
											for tokenizer in tokenizers:
																		with self.subTest(F"""{tokenizer.__class__.__name__}"""    ):
																									lowerCAmelCase =		'''<unk>'''
																									lowerCAmelCase =		'''<mask>'''

																									lowerCAmelCase =		tokenizer.tokenize(UpperCAmelCase_    )
																									lowerCAmelCase =		tokenizer.tokenize(UpperCAmelCase_    )

																									self.assertEqual(len(UpperCAmelCase_    )							,			1    )
																									self.assertEqual(len(UpperCAmelCase_    )							,			1    )
																									self.assertEqual(token_a[0]							,			UpperCAmelCase_    )
																									self.assertEqual(token_a[0]							,			UpperCAmelCase_    )









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase_    ={
    """configuration_bark""": [
        """BARK_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BarkCoarseConfig""",
        """BarkConfig""",
        """BarkFineConfig""",
        """BarkSemanticConfig""",
    ],
    """processing_bark""": ["""BarkProcessor"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_    =[
		    """BARK_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """BarkFineModel""",
		    """BarkSemanticModel""",
		    """BarkCoarseModel""",
		    """BarkModel""",
		    """BarkPreTrainedModel""",
		    """BarkCausalModel""",
		]

if TYPE_CHECKING:
		from .configuration_bark import (
		    BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BarkCoarseConfig,
		    BarkConfig,
		    BarkFineConfig,
		    BarkSemanticConfig,
		)
		from .processing_bark import BarkProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bark import (
				    BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BarkCausalModel,
				    BarkCoarseModel,
				    BarkFineModel,
				    BarkModel,
				    BarkPreTrainedModel,
				    BarkSemanticModel,
				)

else:
		import sys

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



