"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple

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


if is_sentencepiece_available():
 from .tokenization_rembert import RemBertTokenizer
else:
 lowercase__ 	=     None

lowercase__ 	=     logging.get_logger(__name__)
lowercase__ 	=     {"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase__ 	=     {
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
    """tokenizer_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/tokenizer.json""",
    },
}

lowercase__ 	=     {
    """google/rembert""": 256,
}

lowercase__ 	=     """▁"""




class        __snake_case	(					__snake_case    ):
      a__				=		VOCAB_FILES_NAMES
      a__				=		PRETRAINED_VOCAB_FILES_MAP
      a__				=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__				=		RemBertTokenizer



      def __init__(						self   ,      lowercase=None   ,      lowercase=None   ,      lowercase=True   ,      lowercase=True   ,      lowercase=False   ,      lowercase="[CLS]"   ,      lowercase="[SEP]"   ,      lowercase="<unk>"   ,      lowercase="[SEP]"   ,      lowercase="<pad>"   ,      lowercase="[CLS]"   ,      lowercase="[MASK]"   ,      **lowercase   ,      )     ->      Tuple:





        '''simple docstring'''





        a__:					Dict      							=     AddedToken(a_   ,      lstrip=a_   ,      rstrip=a_) if isinstance(a_   ,      a_) else mask_token

        super().__init__(
            a_   ,      tokenizer_file=a_   ,      do_lower_case=a_   ,      remove_space=a_   ,      keep_accents=a_   ,      bos_token=a_   ,      eos_token=a_   ,      unk_token=a_   ,      sep_token=a_   ,      pad_token=a_   ,      cls_token=a_   ,      mask_token=a_   ,      **a_   ,      )

        a__:					List[Any]      							=     do_lower_case
        a__:					List[str]      							=     remove_space
        a__:					int      							=     keep_accents
        a__:					str      							=     vocab_file
        a__:					Dict      							=     False if not self.vocab_file else True



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      int:





        '''simple docstring'''





        a__:					Any      							=     [self.sep_token_id]
        a__:					Tuple      							=     [self.cls_token_id]
        if token_ids_a is None:
          return cls + token_ids_a + sep
        return cls + token_ids_a + sep + token_ids_a + sep



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None   ,      lowercase = False)     ->      List[str]:





        '''simple docstring'''





        if already_has_special_tokens:
          if token_ids_a is not None:
            raise ValueError(
                'You should not supply a second sequence if the provided sequence of '
                'ids is already formatted with special tokens for the model.')
          return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

        if token_ids_a is not None:
          return [1] + ([0] * len(a_)) + [1] + ([0] * len(a_)) + [1]
        return [1] + ([0] * len(a_)) + [1]



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      Union[str, Any]:





        '''simple docstring'''





        a__:					str      							=     [self.sep_token_id]
        a__:					int      							=     [self.cls_token_id]

        if token_ids_a is None:
          return len(cls + token_ids_a + sep) * [0]
        return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      List[Any]:





        '''simple docstring'''





        if not os.path.isdir(a_):
          logger.error('Vocabulary path ({}) should be a directory'.format(a_))
          return
        a__:					Tuple      							=     os.path.join(
            a_   ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

        return (out_vocab_file,)



"""simple docstring"""
import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
 import jax

 from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
 from transformers.models.bert.modeling_flax_bert import FlaxBertModel
 from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel




@require_flax
class        __snake_case	(					unittest.TestCase    ):



      @slow
      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        for model_name in ["bert-base-cased", "bert-large-uncased"]:
          with self.subTest(lowercase):
            a__:					Optional[Any]      							=     AutoConfig.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)

            a__:					Any      							=     FlaxAutoModel.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)



      @slow
      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        for model_name in ["roberta-base", "roberta-large"]:
          with self.subTest(lowercase):
            a__:					str      							=     AutoConfig.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)

            a__:					Any      							=     FlaxAutoModel.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)



      @slow
      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        for model_name in ["bert-base-cased", "bert-large-uncased"]:
          a__:					Dict      							=     AutoTokenizer.from_pretrained(lowercase)
          a__:					Union[str, Any]      							=     FlaxBertModel.from_pretrained(lowercase)
          a__:					List[str]      							=     tokenizer('Do you support jax jitted function?'   ,      return_tensors=TensorType.JAX)

          @jax.jit
          def eval(**lowercase):
            return model(**lowercase)

          eval(**lowercase).block_until_ready()



      @slow
      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        for model_name in ["roberta-base", "roberta-large"]:
          a__:					Optional[Any]      							=     AutoTokenizer.from_pretrained(lowercase)
          a__:					Any      							=     FlaxRobertaModel.from_pretrained(lowercase)
          a__:					int      							=     tokenizer('Do you support jax jitted function?'   ,      return_tensors=TensorType.JAX)

          @jax.jit
          def eval(**lowercase):
            return model(**lowercase)

          eval(**lowercase).block_until_ready()



      def   lowerCamelCase_       (						self)     ->      Any:





        '''simple docstring'''





        with self.assertRaisesRegex(
            lowercase   ,      'bert-base is not a local folder and is not a valid model identifier'):
          a__:					str      							=     FlaxAutoModel.from_pretrained('bert-base')



      def   lowerCamelCase_       (						self)     ->      Optional[int]:





        '''simple docstring'''





        with self.assertRaisesRegex(
            lowercase   ,      r'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'):
          a__:					List[str]      							=     FlaxAutoModel.from_pretrained(lowercase   ,      revision='aaaaaa')



      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        with self.assertRaisesRegex(
            lowercase   ,      'hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack'   ,      ):
          a__:					List[str]      							=     FlaxAutoModel.from_pretrained('hf-internal-testing/config-no-model')



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





        '''simple docstring'''





        with self.assertRaisesRegex(lowercase   ,      'Use `from_pt=True` to load this model'):
          a__:					List[str]      							=     FlaxAutoModel.from_pretrained('hf-internal-testing/tiny-bert-pt-only')


