




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__      :			Optional[Any]           =					{"configuration_qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__      :			List[Any]           =					[
       "QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "QDQBertForMaskedLM",
       "QDQBertForMultipleChoice",
       "QDQBertForNextSentencePrediction",
       "QDQBertForQuestionAnswering",
       "QDQBertForSequenceClassification",
       "QDQBertForTokenClassification",
       "QDQBertLayer",
       "QDQBertLMHeadModel",
       "QDQBertModel",
       "QDQBertPreTrainedModel",
       "load_tf_weights_in_qdqbert",
   ]


if TYPE_CHECKING:
   from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_qdqbert import (
          QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          QDQBertForMaskedLM,
          QDQBertForMultipleChoice,
          QDQBertForNextSentencePrediction,
          QDQBertForQuestionAnswering,
          QDQBertForSequenceClassification,
          QDQBertForTokenClassification,
          QDQBertLayer,
          QDQBertLMHeadModel,
          QDQBertModel,
          QDQBertPreTrainedModel,
          load_tf_weights_in_qdqbert,
      )


else:
   import sys

   lowercase__      :			int           =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)







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


lowercase__      :			Optional[Any]           =					logging.get_logger(__name__)

lowercase__      :			Optional[int]           =					{
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}




class 			a__       (					UpperCamelCase__      ):
     a		:			Dict							=	"""yoso"""







     def __init__(	self  ,		A=50265  ,		A=768  ,		A=12  ,		A=12  ,		A=3072  ,		A="gelu"  ,		A=0.1  ,		A=0.1  ,		A=4096  ,		A=1  ,		A=0.0_2  ,		A=1e-12  ,		A="absolute"  ,		A=True  ,		A=9  ,		A=64  ,		A=None  ,		A=True  ,		A=True  ,		A=1  ,		A=0  ,		A=2  ,		**A  ,		)  ->    Dict:



          '''simple docstring'''



          super().__init__(pad_token_id=A  ,		bos_token_id=A  ,		eos_token_id=A  ,		**A )

          a      =      vocab_size
          a      =      max_position_embeddings
          a      =      hidden_size
          a      =      num_hidden_layers
          a      =      num_attention_heads
          a      =      intermediate_size
          a      =      hidden_act
          a      =      hidden_dropout_prob
          a      =      attention_probs_dropout_prob
          a      =      initializer_range
          a      =      type_vocab_size
          a      =      layer_norm_eps
          a      =      position_embedding_type
          a      =      use_expectation
          a      =      hash_code_len
          a      =      num_hash
          a      =      conv_window
          a      =      use_fast_hash
          a      =      lsh_backward

