
'''simple docstring'''
import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_reformer import ReformerTokenizer
else:
						lowercase__		    =	None


lowercase__		    =	logging.get_logger(__name__)


lowercase__		    =	"▁"

lowercase__		    =	{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowercase__		    =	{
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

lowercase__		    =	{
    "google/reformer-crime-and-punishment": 5_2_4_2_8_8,
}






class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		lowerCamelCase							=		VOCAB_FILES_NAMES
		lowerCamelCase							=		PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase							=		["""input_ids""", """attention_mask"""]
		lowerCamelCase							=		ReformerTokenizer



		def __init__(	self							:       Tuple   ,     UpperCamelCase__							:       Optional[Any]=None   ,     UpperCamelCase__							:       Tuple=None   ,     UpperCamelCase__							:       Optional[Any]="</s>"   ,     UpperCamelCase__							:       Dict="<unk>"   ,     UpperCamelCase__							:       Any=[]   ,     **UpperCamelCase__							:       Optional[Any]   ,     )		->       Any:






				"""simple docstring"""







				super().__init__(
				    UpperCamelCase__   ,     tokenizer_file=UpperCamelCase__   ,     eos_token=UpperCamelCase__   ,     unk_token=UpperCamelCase__   ,     additional_special_tokens=UpperCamelCase__   ,     **UpperCamelCase__   ,     )

				snake_case   :    Dict			       =		vocab_file
				snake_case   :    int			       =		False if not self.vocab_file else True



		def 	lowerCAmelCase							(	self							:       Tuple   ,     UpperCamelCase__							:       str   ,     UpperCamelCase__							:       Optional[str] = None	)		->       Tuple[str]:






				"""simple docstring"""







				if not self.can_save_slow_tokenizer:
						raise ValueError(
						    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
						    '''tokenizer.'''	)

				if not os.path.isdir(UpperCamelCase__	):
						logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
						return
				snake_case   :    Any			       =		os.path.join(
				    UpperCamelCase__   ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

				if os.path.abspath(self.vocab_file	) != os.path.abspath(UpperCamelCase__	):
						copyfile(self.vocab_file   ,     UpperCamelCase__	)

				return (out_vocab_file,)




'''simple docstring'''
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      snake_case__    (	unittest.TestCase ):







		"""simple docstring"""

		lowerCamelCase							=		EsmTokenizer



		def 	lowerCAmelCase							(	self							:       List[Any]	)		->       Any:






				"""simple docstring"""







				super().setUp()
				snake_case   :    Optional[int]			       =		tempfile.mkdtemp()
				# fmt: off
				snake_case   :    List[str]			       =		["<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
				snake_case   :    List[Any]			       =		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 	lowerCAmelCase							(	self							:       str   ,     **UpperCamelCase__							:       Union[str, Any]	)		->       List[PreTrainedTokenizerBase]:






				"""simple docstring"""







				return [self.get_tokenizer(**UpperCamelCase__	)]



		def 	lowerCAmelCase							(	self							:       Union[str, Any]   ,     **UpperCamelCase__							:       Tuple	)		->       PreTrainedTokenizer:






				"""simple docstring"""







				return self.tokenizer_class.from_pretrained(self.tmpdirname   ,     **UpperCamelCase__	)



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






				"""simple docstring"""







				snake_case   :    str			       =		self.tokenizer_class(self.vocab_file	)

				snake_case   :    Optional[int]			       =		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 	lowerCAmelCase							(	self							:       List[Any]	)		->       int:






				"""simple docstring"""







				snake_case   :    Dict			       =		self.tokenizer_class(self.vocab_file	)

				snake_case   :    List[Any]			       =		'''LAGVS'''
				self.assertListEqual(tokenizer.encode(UpperCamelCase__	)   ,     [0, 4, 5, 6, 7, 8, 2]	)



		def 	lowerCAmelCase							(	self							:       List[str]	)		->       int:






				"""simple docstring"""







				snake_case   :    Union[str, Any]			       =		self.tokenizer_class(self.vocab_file	)

				snake_case   :    int			       =		['''LAGVS''', '''WCB''']
				snake_case   :    List[str]			       =		tokenizer(UpperCamelCase__   ,     padding=UpperCamelCase__	)['''input_ids''']

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



		def 	lowerCAmelCase							(	self							:       int	)		->       List[str]:






				"""simple docstring"""







				snake_case   :    Dict			       =		self.tokenizer_class(self.vocab_file	)

				snake_case   :    List[str]			       =		['''LAGVS''', '''WCB''']
				snake_case   :    Any			       =		tokenizer(UpperCamelCase__   ,     padding=UpperCamelCase__	)['''input_ids''']

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



		def 	lowerCAmelCase							(	self							:       Any	)		->       int:






				"""simple docstring"""







				snake_case   :    List[str]			       =		self.get_tokenizers(fast=UpperCamelCase__	)
				for tokenizer in tokenizers:
						with self.subTest(f'{tokenizer.__class__.__name__}'	):
								snake_case   :    int			       =		'''<unk>'''
								snake_case   :    int			       =		'''<mask>'''

								snake_case   :    Any			       =		tokenizer.tokenize(UpperCamelCase__	)
								snake_case   :    Any			       =		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__	)


