


from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE__				:    Dict         =    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__				:    Optional[Any]         =    {
    '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 		_SCREAMING_SNAKE_CASE    (	A    ):
     __SCREAMING_SNAKE_CASE    				=						SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
     __SCREAMING_SNAKE_CASE    				=						'''squeezebert'''


     def __init__(     self       ,				A_=3_05_22       ,				A_=7_68       ,				A_=12       ,				A_=12       ,				A_=30_72       ,				A_="gelu"       ,				A_=0.1       ,				A_=0.1       ,				A_=5_12       ,				A_=2       ,				A_=0.0_2       ,				A_=1e-12       ,				A_=0       ,				A_=7_68       ,				A_=4       ,				A_=4       ,				A_=4       ,				A_=1       ,				A_=4       ,				A_=4       ,				**A_       ,				)     ->   List[Any]:
       super().__init__(pad_token_id=__lowerCamelCase       ,				**__lowerCamelCase						)

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


class 		_SCREAMING_SNAKE_CASE    (	A    ):


     @property
     def 					__snake_case(     self						)     ->   Mapping[str, Mapping[int, str]]:
       if self.task == "multiple-choice":
         _UpperCAmelCase		:       Union[str, Any]       =    {0: "batch", 1: "choice", 2: "sequence"}
       else:
         _UpperCAmelCase		:       Tuple       =    {0: "batch", 1: "sequence"}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
               ("""token_type_ids""", dynamic_axis),
           ]						)









from typing import Any


class 		_SCREAMING_SNAKE_CASE    :


     def __init__(     self						):
       _UpperCAmelCase		:       Union[str, Any]       =    []
       _UpperCAmelCase		:       Dict       =    0


     def __str__(     self						):
       _UpperCAmelCase		:       Union[str, Any]       =    """<""" + str(self.stack						)[1:-1] + """>"""
       return printed


     def 					__snake_case(     self       ,				A_						):
       self.stack.append(A_						)
       _UpperCAmelCase		:       Optional[Any]       =    self.length + 1


     def 					__snake_case(     self						):
       self.rotate(1						)
       _UpperCAmelCase		:       List[Any]       =    self.stack[self.length - 1]
       _UpperCAmelCase		:       Optional[Any]       =    self.stack[:-1]
       self.rotate(self.length - 1						)
       _UpperCAmelCase		:       Union[str, Any]       =    self.length - 1
       return dequeued


     def 					__snake_case(     self       ,				A_						):
       for _ in range(A_						):
         _UpperCAmelCase		:       Dict       =    self.stack[0]
         _UpperCAmelCase		:       List[Any]       =    self.stack[1:]
         self.put(A_						)
         _UpperCAmelCase		:       Dict       =    self.length - 1


     def 					__snake_case(     self						):
       _UpperCAmelCase		:       Tuple       =    self.get()
       self.put(A_						)
       self.rotate(self.length - 1						)
       return front


     def 					__snake_case(     self						):
       return self.length





