





from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase			:			str	  = logging.get_logger(__name__)

UpperCAmelCase			:			Optional[int]	  = {
    """squeezebert/squeezebert-uncased""": (
        """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"""
    ),
    """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json""",
    """squeezebert/squeezebert-mnli-headless""": (
        """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"""
    ),
}







class        __lowerCAmelCase (					a__):
      _lowercase       :      Dict        =    SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
      _lowercase       :      Optional[Any]        =    "squeezebert"







      def __init__(					self	,   lowerCAmelCase__=3_0_5_2_2	,   lowerCAmelCase__=7_6_8	,   lowerCAmelCase__=1_2	,   lowerCAmelCase__=1_2	,   lowerCAmelCase__=3_0_7_2	,   lowerCAmelCase__="gelu"	,   lowerCAmelCase__=0.1	,   lowerCAmelCase__=0.1	,   lowerCAmelCase__=5_1_2	,   lowerCAmelCase__=2	,   lowerCAmelCase__=0.02	,   lowerCAmelCase__=1E-12	,   lowerCAmelCase__=0	,   lowerCAmelCase__=7_6_8	,   lowerCAmelCase__=4	,   lowerCAmelCase__=4	,   lowerCAmelCase__=4	,   lowerCAmelCase__=1	,   lowerCAmelCase__=4	,   lowerCAmelCase__=4	,   **lowerCAmelCase__	,   )     ->		Tuple:



        '''simple docstring'''




        super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_	,   **SCREAMING_SNAKE_CASE_							)

        a__			:      Dict            =vocab_size
        a__			:      Dict            =hidden_size
        a__			:      Dict            =num_hidden_layers
        a__			:      Union[str, Any]            =num_attention_heads
        a__			:      List[str]            =hidden_act
        a__			:      List[Any]            =intermediate_size
        a__			:      int            =hidden_dropout_prob
        a__			:      Tuple            =attention_probs_dropout_prob
        a__			:      List[str]            =max_position_embeddings
        a__			:      List[str]            =type_vocab_size
        a__			:      Union[str, Any]            =initializer_range
        a__			:      Any            =layer_norm_eps
        a__			:      Union[str, Any]            =embedding_size
        a__			:      int            =q_groups
        a__			:      str            =k_groups
        a__			:      Dict            =v_groups
        a__			:      List[Any]            =post_attention_groups
        a__			:      List[Any]            =intermediate_groups
        a__			:      Optional[int]            =output_groups







class        __lowerCAmelCase (					a__):







      @property
      def      _lowercase						(					self							)     ->		Mapping[str, Mapping[int, str]]:



        '''simple docstring'''




        if self.task == "multiple-choice":
          a__			:      Union[str, Any]            ={0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
          a__			:      int            ={0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ("input_ids", dynamic_axis),
                ("attention_mask", dynamic_axis),
                ("token_type_ids", dynamic_axis),
            ]							)













import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


UpperCAmelCase			:			List[Any]	  = logging.get_logger(__name__)







class        __lowerCAmelCase (					UpperCamelCase__):







      def __init__(					self	,   *lowerCAmelCase__	,   **lowerCAmelCase__							)     ->		None:



        '''simple docstring'''




        warnings.warn(
            "The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use DetrImageProcessor instead."	,   lowerCAmelCase__	,   )
        super().__init__(*lowerCAmelCase__	,   **lowerCAmelCase__							)






