"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_UpperCamelCase   :						Union[str, Any]      =    logging.get_logger(__name__)

_UpperCamelCase   :						str      =    {
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}


class      UpperCAmelCase_	(    _a):
      lowerCamelCase__		:    Optional[int]   =  "camembert"


      def __init__(   self		,			a=3_0_5_2_2		,			a=7_6_8		,			a=1_2		,			a=1_2		,			a=3_0_7_2		,			a="gelu"		,			a=0.1		,			a=0.1		,			a=5_1_2		,			a=2		,			a=0.02		,			a=1e-12		,			a=1		,			a=0		,			a=2		,			a="absolute"		,			a=True		,			a=None		,			**a		,			)       ->					Any:
             super().__init__(pad_token_id=a		,			bos_token_id=a		,			eos_token_id=a		,			**a							)

             lowercase__			:		Any       =	vocab_size
             lowercase__			:		Any       =	hidden_size
             lowercase__			:		List[str]       =	num_hidden_layers
             lowercase__			:		int       =	num_attention_heads
             lowercase__			:		Optional[Any]       =	hidden_act
             lowercase__			:		int       =	intermediate_size
             lowercase__			:		Dict       =	hidden_dropout_prob
             lowercase__			:		Tuple       =	attention_probs_dropout_prob
             lowercase__			:		Optional[int]       =	max_position_embeddings
             lowercase__			:		int       =	type_vocab_size
             lowercase__			:		Union[str, Any]       =	initializer_range
             lowercase__			:		Dict       =	layer_norm_eps
             lowercase__			:		str       =	position_embedding_type
             lowercase__			:		Optional[Any]       =	use_cache
             lowercase__			:		Any       =	classifier_dropout





class      UpperCAmelCase_	(    _a):


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








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 						=      {
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						"""camembert"""





			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=1       ,  __lowerCAmelCase=0       ,  __lowerCAmelCase=2       ,  __lowerCAmelCase="absolute"       ,  __lowerCAmelCase=True       ,  __lowerCAmelCase=None       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







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

				lowerCamelCase__								=		vocab_size
				lowerCamelCase__								=		hidden_size
				lowerCamelCase__								=		num_hidden_layers
				lowerCamelCase__								=		num_attention_heads
				lowerCamelCase__								=		hidden_act
				lowerCamelCase__								=		intermediate_size
				lowerCamelCase__								=		hidden_dropout_prob
				lowerCamelCase__								=		attention_probs_dropout_prob
				lowerCamelCase__								=		max_position_embeddings
				lowerCamelCase__								=		type_vocab_size
				lowerCamelCase__								=		initializer_range
				lowerCamelCase__								=		layer_norm_eps
				lowerCamelCase__								=		position_embedding_type
				lowerCamelCase__								=		use_cache
				lowerCamelCase__								=		classifier_dropout






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			@property
			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







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



