
from collections import OrderedDict
from typing import Mapping

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


_snake_case				:   Optional[Any]     =				logging.get_logger(__name__)

_snake_case				:   List[str]     =				{
    'facebook/xmod-base': 'https://huggingface.co/facebook/xmod-base/resolve/main/config.json',
    'facebook/xmod-large-prenorm': 'https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json',
    'facebook/xmod-base-13-125k': 'https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json',
    'facebook/xmod-base-30-125k': 'https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json',
    'facebook/xmod-base-30-195k': 'https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json',
    'facebook/xmod-base-60-125k': 'https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json',
    'facebook/xmod-base-60-265k': 'https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json',
    'facebook/xmod-base-75-125k': 'https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json',
    'facebook/xmod-base-75-269k': 'https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json',
}


class 			lowerCAmelCase (				UpperCamelCase_			):
		a							:					Union[str, Any]       =					"""xmod"""




		def __init__(				self					,						UpperCamelCase=30_522					,						UpperCamelCase=768					,						UpperCamelCase=12					,						UpperCamelCase=12					,						UpperCamelCase=3_072					,						UpperCamelCase="gelu"					,						UpperCamelCase=0.1					,						UpperCamelCase=0.1					,						UpperCamelCase=512					,						UpperCamelCase=2					,						UpperCamelCase=0.02					,						UpperCamelCase=1e-12					,						UpperCamelCase=1					,						UpperCamelCase=0					,						UpperCamelCase=2					,						UpperCamelCase="absolute"					,						UpperCamelCase=True					,						UpperCamelCase=None					,						UpperCamelCase=False					,						UpperCamelCase=2					,						UpperCamelCase=False					,						UpperCamelCase=True					,						UpperCamelCase=True					,						UpperCamelCase=("en_XX",)					,						UpperCamelCase=None					,						**UpperCamelCase					,						):
								super().__init__(pad_token_id=UpperCamelCase__					,						bos_token_id=UpperCamelCase__					,						eos_token_id=UpperCamelCase__					,						**UpperCamelCase__      )

								_SCREAMING_SNAKE_CASE				= vocab_size
								_SCREAMING_SNAKE_CASE				= hidden_size
								_SCREAMING_SNAKE_CASE				= num_hidden_layers
								_SCREAMING_SNAKE_CASE				= num_attention_heads
								_SCREAMING_SNAKE_CASE				= hidden_act
								_SCREAMING_SNAKE_CASE				= intermediate_size
								_SCREAMING_SNAKE_CASE				= hidden_dropout_prob
								_SCREAMING_SNAKE_CASE				= attention_probs_dropout_prob
								_SCREAMING_SNAKE_CASE				= max_position_embeddings
								_SCREAMING_SNAKE_CASE				= type_vocab_size
								_SCREAMING_SNAKE_CASE				= initializer_range
								_SCREAMING_SNAKE_CASE				= layer_norm_eps
								_SCREAMING_SNAKE_CASE				= position_embedding_type
								_SCREAMING_SNAKE_CASE				= use_cache
								_SCREAMING_SNAKE_CASE				= classifier_dropout
								_SCREAMING_SNAKE_CASE				= pre_norm
								_SCREAMING_SNAKE_CASE				= adapter_reduction_factor
								_SCREAMING_SNAKE_CASE				= adapter_layer_norm
								_SCREAMING_SNAKE_CASE				= adapter_reuse_layer_norm
								_SCREAMING_SNAKE_CASE				= ln_before_adapter
								_SCREAMING_SNAKE_CASE				= list(UpperCamelCase__      )
								_SCREAMING_SNAKE_CASE				= default_language


class 			lowerCAmelCase (				UpperCamelCase_			):




		@property
		def     lowercase       (				self      ):





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

'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


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


class 			lowerCAmelCase (				__UpperCAmelCase			):




		def __init__(				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								warnings.warn(
								    "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
								    " use DPTImageProcessor instead."					,						UpperCamelCase					,						)
								super().__init__(*UpperCamelCase					,						**UpperCamelCase      )