






"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


A_			  =    logging.get_logger(__name__)

A_			  =    {
    "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   (			UpperCAmelCase       ):







  '''simple docstring'''


  __lowerCamelCase       :    Tuple     	=			SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  __lowerCamelCase       :    Dict     	=			"squeezebert"
  def __init__(      self:		Union[str, Any]				,			UpperCamelCase_:		List[Any]=3_0522				,			UpperCamelCase_:		Optional[int]=768				,			UpperCamelCase_:		int=12				,			UpperCamelCase_:		Union[str, Any]=12				,			UpperCamelCase_:		List[Any]=3072				,			UpperCamelCase_:		Any="gelu"				,			UpperCamelCase_:		Tuple=0.1				,			UpperCamelCase_:		List[str]=0.1				,			UpperCamelCase_:		int=512				,			UpperCamelCase_:		List[str]=2				,			UpperCamelCase_:		List[str]=0.02				,			UpperCamelCase_:		List[str]=1e-1_2				,			UpperCamelCase_:		Tuple=0				,			UpperCamelCase_:		Any=768				,			UpperCamelCase_:		List[Any]=4				,			UpperCamelCase_:		Optional[Any]=4				,			UpperCamelCase_:		Any=4				,			UpperCamelCase_:		Any=1				,			UpperCamelCase_:		Any=4				,			UpperCamelCase_:		int=4				,			**UpperCamelCase_:		str				,			):
     super().__init__(pad_token_id=UpperCamelCase_				,			**UpperCamelCase_					)

     UpperCamelCase_     =vocab_size
     UpperCamelCase_     =hidden_size
     UpperCamelCase_     =num_hidden_layers
     UpperCamelCase_     =num_attention_heads
     UpperCamelCase_     =hidden_act
     UpperCamelCase_     =intermediate_size
     UpperCamelCase_     =hidden_dropout_prob
     UpperCamelCase_     =attention_probs_dropout_prob
     UpperCamelCase_     =max_position_embeddings
     UpperCamelCase_     =type_vocab_size
     UpperCamelCase_     =initializer_range
     UpperCamelCase_     =layer_norm_eps
     UpperCamelCase_     =embedding_size
     UpperCamelCase_     =q_groups
     UpperCamelCase_     =k_groups
     UpperCamelCase_     =v_groups
     UpperCamelCase_     =post_attention_groups
     UpperCamelCase_     =intermediate_groups
     UpperCamelCase_     =output_groups




class 						__lowerCAmelCase   (			UpperCAmelCase       ):







  '''simple docstring'''


  @property
  def 					UpperCamelCase__   (      self:		List[Any]					):
     if self.task == "multiple-choice":
        UpperCamelCase_     ={0: "batch", 1: "choice", 2: "sequence"}
     else:
        UpperCamelCase_     ={0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
             ("token_type_ids", dynamic_axis),
         ]					)








"""simple docstring"""






from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime
class 						__lowerCAmelCase   (			UpperCAmelCase       ):







  '''simple docstring'''


  def __init__(      self:		List[Any]				,			*UpperCamelCase_:		Dict				,			**UpperCamelCase_:		Optional[int]					):
     super().__init__(*UpperCamelCase_				,			**UpperCamelCase_					)
  def 					UpperCamelCase__   (      self:		Any				,			UpperCamelCase_:		Optional[int]				,			UpperCamelCase_:		Optional[int]					):
     UpperCamelCase_     =(
         next_prime(value % self.size_table					)
         if not is_prime(value % self.size_table					)
         else value % self.size_table
     )  # gt = bigger than
     return next_prime_gt - (data % next_prime_gt)
  def 					UpperCamelCase__   (      self:		str				,			UpperCamelCase_:		List[str]				,			UpperCamelCase_:		str				,			UpperCamelCase_:		Tuple					):
     return (increment * self.__hash_function_a(UpperCamelCase_				,			UpperCamelCase_					)) % self.size_table





  def 					UpperCamelCase__   (      self:		str				,			UpperCamelCase_:		int				,			UpperCamelCase_:		str=None					):
     UpperCamelCase_     =1
     UpperCamelCase_     =self.hash_function(UpperCamelCase_					)

     while self.values[new_key] is not None and self.values[new_key] != key:
        UpperCamelCase_     =(
            self.__hash_double_function(UpperCamelCase_				,			UpperCamelCase_				,			UpperCamelCase_					)
            if self.balanced_factor() >= self.lim_charge
            else None
        )
        if new_key is None:
           break
        else:
           i += 1

     return new_key
