
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


__magic_name__           =					logging.get_logger(__name__)

__magic_name__           =					{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__magic_name__           =					{
    '''vocab_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json''',
    },
}

__magic_name__           =					{
    '''microsoft/mpnet-base''': 512,
}

__magic_name__           =					{
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}




class    _SCREAMING_SNAKE_CASE					( __UpperCamelCase	):
      _A  :						List[str]      		=       VOCAB_FILES_NAMES
      _A  :						Optional[int]      		=       PRETRAINED_VOCAB_FILES_MAP
      _A  :						int      		=       PRETRAINED_INIT_CONFIGURATION
      _A  :						int      		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _A  :						Any      		=       MPNetTokenizer
      _A  :						Optional[Any]      		=       ['input_ids', 'attention_mask']
      def __init__(     self						,		lowerCamelCase=None						,		lowerCamelCase=None						,		lowerCamelCase=True						,		lowerCamelCase="<s>"						,		lowerCamelCase="</s>"						,		lowerCamelCase="</s>"						,		lowerCamelCase="<s>"						,		lowerCamelCase="[UNK]"						,		lowerCamelCase="<pad>"						,		lowerCamelCase="<mask>"						,		lowerCamelCase=True						,		lowerCamelCase=None						,		**lowerCamelCase						,		):
          super().__init__(
              lowerCamelCase						,		tokenizer_file=lowerCamelCase						,		do_lower_case=lowerCamelCase						,		bos_token=lowerCamelCase						,		eos_token=lowerCamelCase						,		sep_token=lowerCamelCase						,		cls_token=lowerCamelCase						,		unk_token=lowerCamelCase						,		pad_token=lowerCamelCase						,		mask_token=lowerCamelCase						,		tokenize_chinese_chars=lowerCamelCase						,		strip_accents=lowerCamelCase						,		**lowerCamelCase						,		)

          snake_case__  =			json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
          if (
              pre_tok_state.get("lowercase"						,		lowerCamelCase	) != do_lower_case
              or pre_tok_state.get("strip_accents"						,		lowerCamelCase	) != strip_accents
          ):
              snake_case__  =			getattr(lowerCamelCase						,		pre_tok_state.pop("type"	)	)
              snake_case__  =			do_lower_case
              snake_case__  =			strip_accents
              snake_case__  =			pre_tok_class(**lowerCamelCase	)

          snake_case__  =			do_lower_case
      @property
      def A_     (     self	):
          if self._mask_token is None:
              if self.verbose:
                  logger.error("Using mask_token, but it is not set yet."	)
              return None
          return str(self._mask_token	)
      @mask_token.setter
      def A_     (     self						,		lowerCamelCase	):
          snake_case__  =			AddedToken(lowerCamelCase						,		lstrip=lowerCamelCase						,		rstrip=lowerCamelCase	) if isinstance(lowerCamelCase						,		lowerCamelCase	) else value
          snake_case__  =			value
      def A_     (     self						,		lowerCamelCase						,		lowerCamelCase=None	):
          snake_case__  =			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
              return output

          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
      def A_     (     self						,		lowerCamelCase						,		lowerCamelCase = None	):
          snake_case__  =			[self.sep_token_id]
          snake_case__  =			[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 + sep + token_ids_a + sep	) * [0]



      def A_     (     self						,		lowerCamelCase						,		lowerCamelCase = None	):
          snake_case__  =			self._tokenizer.model.save(lowerCamelCase						,		name=lowerCamelCase	)
          return tuple(lowerCamelCase	)





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__magic_name__           =					logging.get_logger(__name__)

__magic_name__           =					{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}




class    _SCREAMING_SNAKE_CASE					( __UpperCamelCase	):
      _A  :						Any      		=       'swiftformer'
      def __init__(     self						,		lowerCamelCase=3						,		lowerCamelCase=[3, 3, 6, 4]						,		lowerCamelCase=[48, 56, 1_12, 2_20]						,		lowerCamelCase=4						,		lowerCamelCase=[True, True, True, True]						,		lowerCamelCase="gelu"						,		lowerCamelCase=3						,		lowerCamelCase=2						,		lowerCamelCase=1						,		lowerCamelCase=0.0						,		lowerCamelCase=True						,		lowerCamelCase=1e-5						,		lowerCamelCase=1e-5						,		**lowerCamelCase						,		):
          super().__init__(**lowerCamelCase	)
          snake_case__  =			num_channels
          snake_case__  =			depths
          snake_case__  =			embed_dims
          snake_case__  =			mlp_ratio
          snake_case__  =			downsamples
          snake_case__  =			hidden_act
          snake_case__  =			down_patch_size
          snake_case__  =			down_stride
          snake_case__  =			down_pad
          snake_case__  =			drop_path_rate
          snake_case__  =			use_layer_scale
          snake_case__  =			layer_scale_init_value
          snake_case__  =			batch_norm_eps





class    _SCREAMING_SNAKE_CASE					( __UpperCamelCase	):
      _A  :						int      		=       version.parse('1.11'	)
      @property
      def A_     (     self	):
          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ]	)



      @property
      def A_     (     self	):
          return 1e-4



