

"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_lowerCAmelCase						=		logging.get_logger(__name__)

_lowerCAmelCase						=		{
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}







class 	__UpperCamelCase    (    a__							,							a__						):
		_UpperCAmelCase          =		"bit"
		_UpperCAmelCase          =		["preactivation", "bottleneck"]
		_UpperCAmelCase          =		["SAME", "VALID"]

		def __init__(		self    ,_A=3    ,_A=64    ,_A=[256, 512, 1024, 2048]    ,_A=[3, 4, 6, 3]    ,_A="preactivation"    ,_A="relu"    ,_A=None    ,_A=32    ,_A=0.0    ,_A=False    ,_A=32    ,_A=1    ,_A=None    ,_A=None    ,**_A    ,):
						'''simple docstring'''

						super().__init__(**_A      )
						if layer_type not in self.layer_types:
										raise ValueError(F"""layer_type={layer_type} is not one of {','.join(self.layer_types      )}"""      )
						if global_padding is not None:
										if global_padding.upper() in self.supported_padding:
														_lowerCAmelCase       :   Dict  =    global_padding.upper()
										else:
														raise ValueError(F"""Padding strategy {global_padding} not supported"""      )
						_lowerCAmelCase       :   Optional[int]  =    num_channels
						_lowerCAmelCase       :   str  =    embedding_size
						_lowerCAmelCase       :   Optional[int]  =    hidden_sizes
						_lowerCAmelCase       :   Optional[int]  =    depths
						_lowerCAmelCase       :   Dict  =    layer_type
						_lowerCAmelCase       :   str  =    hidden_act
						_lowerCAmelCase       :   Tuple  =    global_padding
						_lowerCAmelCase       :   Dict  =    num_groups
						_lowerCAmelCase       :   Optional[Any]  =    drop_path_rate
						_lowerCAmelCase       :   Tuple  =    embedding_dynamic_padding
						_lowerCAmelCase       :   Union[str, Any]  =    output_stride
						_lowerCAmelCase       :   Dict  =    width_factor

						_lowerCAmelCase       :   List[Any]  =    ['stem'] + [F"""stage{idx}""" for idx in range(1    ,len(_A      ) + 1      )]
						_lowerCAmelCase       :   Dict  =    get_aligned_output_features_output_indices(
						    out_features=_A    ,out_indices=_A    ,stage_names=self.stage_names      )








"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bert import BertTokenizer


_lowerCAmelCase						=		logging.get_logger(__name__)

_lowerCAmelCase						=		{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

_lowerCAmelCase						=		{
    """vocab_file""": {
        """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt""",
        """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/vocab.txt""",
        """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/vocab.txt""",
        """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/vocab.txt""",
        """bert-base-multilingual-uncased""": (
            """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/vocab.txt"""
        ),
        """bert-base-multilingual-cased""": """https://huggingface.co/bert-base-multilingual-cased/resolve/main/vocab.txt""",
        """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/vocab.txt""",
        """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/vocab.txt""",
        """bert-large-uncased-whole-word-masking""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/vocab.txt"""
        ),
        """bert-large-cased-whole-word-masking""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/vocab.txt"""
        ),
        """bert-large-uncased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt"""
        ),
        """bert-large-cased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt"""
        ),
        """bert-base-cased-finetuned-mrpc""": (
            """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/vocab.txt"""
        ),
        """bert-base-german-dbmdz-cased""": """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/vocab.txt""",
        """bert-base-german-dbmdz-uncased""": (
            """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/vocab.txt"""
        ),
        """TurkuNLP/bert-base-finnish-cased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/vocab.txt"""
        ),
        """TurkuNLP/bert-base-finnish-uncased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/vocab.txt"""
        ),
        """wietsedv/bert-base-dutch-cased""": (
            """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/tokenizer.json""",
        """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/tokenizer.json""",
        """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/tokenizer.json""",
        """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/tokenizer.json""",
        """bert-base-multilingual-uncased""": (
            """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/tokenizer.json"""
        ),
        """bert-base-multilingual-cased""": (
            """https://huggingface.co/bert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
        """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/tokenizer.json""",
        """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/tokenizer.json""",
        """bert-large-uncased-whole-word-masking""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/tokenizer.json"""
        ),
        """bert-large-cased-whole-word-masking""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/tokenizer.json"""
        ),
        """bert-large-uncased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/tokenizer.json"""
        ),
        """bert-large-cased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/tokenizer.json"""
        ),
        """bert-base-cased-finetuned-mrpc""": (
            """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/tokenizer.json"""
        ),
        """bert-base-german-dbmdz-cased""": (
            """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/tokenizer.json"""
        ),
        """bert-base-german-dbmdz-uncased""": (
            """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/tokenizer.json"""
        ),
        """TurkuNLP/bert-base-finnish-cased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/tokenizer.json"""
        ),
        """TurkuNLP/bert-base-finnish-uncased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/tokenizer.json"""
        ),
        """wietsedv/bert-base-dutch-cased""": (
            """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/tokenizer.json"""
        ),
    },
}

_lowerCAmelCase						=		{
    """bert-base-uncased""": 5_1_2,
    """bert-large-uncased""": 5_1_2,
    """bert-base-cased""": 5_1_2,
    """bert-large-cased""": 5_1_2,
    """bert-base-multilingual-uncased""": 5_1_2,
    """bert-base-multilingual-cased""": 5_1_2,
    """bert-base-chinese""": 5_1_2,
    """bert-base-german-cased""": 5_1_2,
    """bert-large-uncased-whole-word-masking""": 5_1_2,
    """bert-large-cased-whole-word-masking""": 5_1_2,
    """bert-large-uncased-whole-word-masking-finetuned-squad""": 5_1_2,
    """bert-large-cased-whole-word-masking-finetuned-squad""": 5_1_2,
    """bert-base-cased-finetuned-mrpc""": 5_1_2,
    """bert-base-german-dbmdz-cased""": 5_1_2,
    """bert-base-german-dbmdz-uncased""": 5_1_2,
    """TurkuNLP/bert-base-finnish-cased-v1""": 5_1_2,
    """TurkuNLP/bert-base-finnish-uncased-v1""": 5_1_2,
    """wietsedv/bert-base-dutch-cased""": 5_1_2,
}

_lowerCAmelCase						=		{
    """bert-base-uncased""": {"""do_lower_case""": True},
    """bert-large-uncased""": {"""do_lower_case""": True},
    """bert-base-cased""": {"""do_lower_case""": False},
    """bert-large-cased""": {"""do_lower_case""": False},
    """bert-base-multilingual-uncased""": {"""do_lower_case""": True},
    """bert-base-multilingual-cased""": {"""do_lower_case""": False},
    """bert-base-chinese""": {"""do_lower_case""": False},
    """bert-base-german-cased""": {"""do_lower_case""": False},
    """bert-large-uncased-whole-word-masking""": {"""do_lower_case""": True},
    """bert-large-cased-whole-word-masking""": {"""do_lower_case""": False},
    """bert-large-uncased-whole-word-masking-finetuned-squad""": {"""do_lower_case""": True},
    """bert-large-cased-whole-word-masking-finetuned-squad""": {"""do_lower_case""": False},
    """bert-base-cased-finetuned-mrpc""": {"""do_lower_case""": False},
    """bert-base-german-dbmdz-cased""": {"""do_lower_case""": False},
    """bert-base-german-dbmdz-uncased""": {"""do_lower_case""": True},
    """TurkuNLP/bert-base-finnish-cased-v1""": {"""do_lower_case""": False},
    """TurkuNLP/bert-base-finnish-uncased-v1""": {"""do_lower_case""": True},
    """wietsedv/bert-base-dutch-cased""": {"""do_lower_case""": False},
}







class 	__UpperCamelCase    (    a__						):
  _UpperCAmelCase          =		VOCAB_FILES_NAMES
  _UpperCAmelCase          =		PRETRAINED_VOCAB_FILES_MAP
  _UpperCAmelCase          =		PRETRAINED_INIT_CONFIGURATION
  _UpperCAmelCase          =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCAmelCase          =		BertTokenizer

  def __init__(		self    ,_A=None    ,_A=None    ,_A=True    ,_A="[UNK]"    ,_A="[SEP]"    ,_A="[PAD]"    ,_A="[CLS]"    ,_A="[MASK]"    ,_A=True    ,_A=None    ,**_A    ,):
      '''simple docstring'''

      super().__init__(
          _A    ,tokenizer_file=_A    ,do_lower_case=_A    ,unk_token=_A    ,sep_token=_A    ,pad_token=_A    ,cls_token=_A    ,mask_token=_A    ,tokenize_chinese_chars=_A    ,strip_accents=_A    ,**_A    ,)

      _lowerCAmelCase       :   Tuple  =    json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
      if (
          normalizer_state.get('lowercase'    ,_A      ) != do_lower_case
          or normalizer_state.get('strip_accents'    ,_A      ) != strip_accents
          or normalizer_state.get('handle_chinese_chars'    ,_A      ) != tokenize_chinese_chars
      ):
          _lowerCAmelCase       :   Dict  =    getattr(_A    ,normalizer_state.pop('type'      )      )
          _lowerCAmelCase       :   Dict  =    do_lower_case
          _lowerCAmelCase       :   Optional[int]  =    strip_accents
          _lowerCAmelCase       :   Union[str, Any]  =    tokenize_chinese_chars
          _lowerCAmelCase       :   Dict  =    normalizer_class(**_A      )

      _lowerCAmelCase       :   Union[str, Any]  =    do_lower_case

  def __lowerCamelCase		(		self    ,_A    ,_A=None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
          output += token_ids_a + [self.sep_token_id]

      return output

  def __lowerCamelCase		(		self    ,_A    ,_A = None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Union[str, Any]  =    [self.sep_token_id]
      _lowerCAmelCase       :   str  =    [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    ,_A    ,_A = None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   str  =    self._tokenizer.model.save(_A    ,name=_A      )
      return tuple(_A      )





