

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


_SCREAMING_SNAKE_CASE					:  Tuple       	=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					:  List[str]       	=      {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

_SCREAMING_SNAKE_CASE					:  str       	=      {
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

_SCREAMING_SNAKE_CASE					:  int       	=      {
    "distilbert-base-uncased": 512,
    "distilbert-base-uncased-distilled-squad": 512,
    "distilbert-base-cased": 512,
    "distilbert-base-cased-distilled-squad": 512,
    "distilbert-base-german-cased": 512,
    "distilbert-base-multilingual-cased": 512,
}


_SCREAMING_SNAKE_CASE					:  str       	=      {
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}






class 	UpperCAmelCase__		(	a_	):






  """simple docstring"""


  a									= VOCAB_FILES_NAMES
  a									= PRETRAINED_VOCAB_FILES_MAP
  a									= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a									= PRETRAINED_INIT_CONFIGURATION
  a									= ["input_ids", "attention_mask"]
  a									= DistilBertTokenizer






  def __init__(							self						:		Any     ,       __lowerCamelCase						:		List[str]=None     ,       __lowerCamelCase						:		str=None     ,       __lowerCamelCase						:		Any=True     ,       __lowerCamelCase						:		List[str]="[UNK]"     ,       __lowerCamelCase						:		Any="[SEP]"     ,       __lowerCamelCase						:		Union[str, Any]="[PAD]"     ,       __lowerCamelCase						:		str="[CLS]"     ,       __lowerCamelCase						:		str="[MASK]"     ,       __lowerCamelCase						:		Optional[Any]=True     ,       __lowerCamelCase						:		List[Any]=None     ,       **__lowerCamelCase						:		str     ,       )		->							Optional[Any]:
       super().__init__(
           __lowerCamelCase     ,       tokenizer_file=__lowerCamelCase     ,       do_lower_case=__lowerCamelCase     ,       unk_token=__lowerCamelCase     ,       sep_token=__lowerCamelCase     ,       pad_token=__lowerCamelCase     ,       cls_token=__lowerCamelCase     ,       mask_token=__lowerCamelCase     ,       tokenize_chinese_chars=__lowerCamelCase     ,       strip_accents=__lowerCamelCase     ,       **__lowerCamelCase     ,       )

       SCREAMING_SNAKE_CASE__   =   json.loads(self.backend_tokenizer.normalizer.__getstate__() )
       if (
           normalizer_state.get('''lowercase'''     ,       __lowerCamelCase ) != do_lower_case
           or normalizer_state.get('''strip_accents'''     ,       __lowerCamelCase ) != strip_accents
           or normalizer_state.get('''handle_chinese_chars'''     ,       __lowerCamelCase ) != tokenize_chinese_chars
       ):
            SCREAMING_SNAKE_CASE__   =   getattr(__lowerCamelCase     ,       normalizer_state.pop('''type''' ) )
            SCREAMING_SNAKE_CASE__   =   do_lower_case
            SCREAMING_SNAKE_CASE__   =   strip_accents
            SCREAMING_SNAKE_CASE__   =   tokenize_chinese_chars
            SCREAMING_SNAKE_CASE__   =   normalizer_class(**__lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   do_lower_case






  def 				lowercase_		(							self						:		List[str]     ,       __lowerCamelCase						:		List[Any]     ,       __lowerCamelCase						:		List[Any]=None )		->							Tuple:
       SCREAMING_SNAKE_CASE__   =   [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 				lowercase_		(							self						:		Optional[int]     ,       __lowerCamelCase						:		Tuple     ,       __lowerCamelCase						:		Any = None )		->							List[int]:
       SCREAMING_SNAKE_CASE__   =   [self.sep_token_id]
       SCREAMING_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 ) * [0] + len(token_ids_a + sep ) * [1]







  def 				lowercase_		(							self						:		List[str]     ,       __lowerCamelCase						:		List[str]     ,       __lowerCamelCase						:		Optional[int] = None )		->							Tuple[str]:
       SCREAMING_SNAKE_CASE__   =   self._tokenizer.model.save(__lowerCamelCase     ,       name=__lowerCamelCase )
       return tuple(__lowerCamelCase )





from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE					:  Any             =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					:  int             =      {
    '''edbeeching/decision-transformer-gym-hopper-medium''': (
        '''https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'''
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  a									= "decision_transformer"
  a									= ["past_key_values"]
  a									= {
      "max_position_embeddings": "n_positions",
      "num_attention_heads": "n_head",
      "num_hidden_layers": "n_layer",
  }






  def __init__(							self						:		Tuple     ,       __lowerCamelCase						:		Any=17     ,       __lowerCamelCase						:		Any=4     ,       __lowerCamelCase						:		List[Any]=128     ,       __lowerCamelCase						:		Union[str, Any]=4096     ,       __lowerCamelCase						:		Optional[Any]=True     ,       __lowerCamelCase						:		Any=1     ,       __lowerCamelCase						:		List[Any]=1024     ,       __lowerCamelCase						:		Any=3     ,       __lowerCamelCase						:		Dict=1     ,       __lowerCamelCase						:		List[Any]=None     ,       __lowerCamelCase						:		str="relu"     ,       __lowerCamelCase						:		Dict=0.1     ,       __lowerCamelCase						:		int=0.1     ,       __lowerCamelCase						:		List[str]=0.1     ,       __lowerCamelCase						:		str=1e-5     ,       __lowerCamelCase						:		Optional[Any]=0.02     ,       __lowerCamelCase						:		int=True     ,       __lowerCamelCase						:		Tuple=True     ,       __lowerCamelCase						:		Optional[int]=5_0256     ,       __lowerCamelCase						:		Tuple=5_0256     ,       __lowerCamelCase						:		int=False     ,       __lowerCamelCase						:		Optional[int]=False     ,       **__lowerCamelCase						:		Tuple     ,       )		->							Optional[Any]:
       SCREAMING_SNAKE_CASE__   =   state_dim
       SCREAMING_SNAKE_CASE__   =   act_dim
       SCREAMING_SNAKE_CASE__   =   hidden_size
       SCREAMING_SNAKE_CASE__   =   max_ep_len
       SCREAMING_SNAKE_CASE__   =   action_tanh
       SCREAMING_SNAKE_CASE__   =   vocab_size
       SCREAMING_SNAKE_CASE__   =   n_positions
       SCREAMING_SNAKE_CASE__   =   n_layer
       SCREAMING_SNAKE_CASE__   =   n_head
       SCREAMING_SNAKE_CASE__   =   n_inner
       SCREAMING_SNAKE_CASE__   =   activation_function
       SCREAMING_SNAKE_CASE__   =   resid_pdrop
       SCREAMING_SNAKE_CASE__   =   embd_pdrop
       SCREAMING_SNAKE_CASE__   =   attn_pdrop
       SCREAMING_SNAKE_CASE__   =   layer_norm_epsilon
       SCREAMING_SNAKE_CASE__   =   initializer_range
       SCREAMING_SNAKE_CASE__   =   scale_attn_weights
       SCREAMING_SNAKE_CASE__   =   use_cache
       SCREAMING_SNAKE_CASE__   =   scale_attn_by_inverse_layer_idx
       SCREAMING_SNAKE_CASE__   =   reorder_and_upcast_attn

       SCREAMING_SNAKE_CASE__   =   bos_token_id
       SCREAMING_SNAKE_CASE__   =   eos_token_id

       super().__init__(bos_token_id=__lowerCamelCase     ,       eos_token_id=__lowerCamelCase     ,       **__lowerCamelCase )


