




'''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     ={
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}


class 			_a  (	__a ):
       __a				:     int   				=					"""data2vec-text"""
       def __init__(	self						:	Tuple   ,				lowercase						:	List[str]=30_522   ,				lowercase						:	Union[str, Any]=768   ,				lowercase						:	Dict=12   ,				lowercase						:	List[Any]=12   ,				lowercase						:	Union[str, Any]=3_072   ,				lowercase						:	Any="gelu"   ,				lowercase						:	Optional[int]=0.1   ,				lowercase						:	str=0.1   ,				lowercase						:	List[str]=512   ,				lowercase						:	Optional[int]=2   ,				lowercase						:	int=0.02   ,				lowercase						:	int=1E-12   ,				lowercase						:	Union[str, Any]=1   ,				lowercase						:	List[str]=0   ,				lowercase						:	int=2   ,				lowercase						:	Tuple="absolute"   ,				lowercase						:	Optional[int]=True   ,				lowercase						:	Dict=None   ,				**lowercase						:	Union[str, Any]   ,				):



           '''simple docstring'''

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

           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			       =		position_embedding_type
           UpperCAmelCase			       =		use_cache
           UpperCAmelCase			       =		classifier_dropout






class 			_a  (	__a ):
       @property
       def     A      (	self						:	List[Any]				):



           '''simple docstring'''

           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),
               ]				)










'''simple docstring'''







import os
from distutils.util import strtobool





def 						snake_case_							(_a	:							Union[str, Any]    ,   _a	:							List[Any]     ):
    for e in env_keys:
        UpperCAmelCase			       =		int(os.environ.get(_a    ,   -1     )     )
        if val >= 0:
            return val
    return default





def 						snake_case_							(_a	:							Dict    ,   _a	:							Any=False     ):
    UpperCAmelCase			       =		os.environ.get(_a    ,   str(_a     )     )
    return strtobool(_a     ) == 1  # As its name indicates `strtobool` actually returns an int...







def 						snake_case_							(_a	:							str    ,   _a	:							Optional[Any]="no"     ):
    UpperCAmelCase			       =		os.environ.get(_a    ,   str(_a     )     )
    return value




