



from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)





from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__       =	logging.get_logger(__name__)

UpperCAmelCase__       =	{
    "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   (      A						):
			UpperCamelCase        =					'''xmod'''



			def __init__(						self       :  Optional[int]			,		A       :  int=3_05_22			,		A       :  Tuple=7_68			,		A       :  Optional[Any]=12			,		A       :  Tuple=12			,		A       :  str=30_72			,		A       :  List[str]="gelu"			,		A       :  Any=0.1			,		A       :  int=0.1			,		A       :  Dict=5_12			,		A       :  Optional[Any]=2			,		A       :  Optional[Any]=0.0_2			,		A       :  List[Any]=1E-12			,		A       :  int=1			,		A       :  Tuple=0			,		A       :  Optional[Any]=2			,		A       :  int="absolute"			,		A       :  Union[str, Any]=True			,		A       :  List[Any]=None			,		A       :  Optional[Any]=False			,		A       :  List[str]=2			,		A       :  int=False			,		A       :  str=True			,		A       :  Optional[Any]=True			,		A       :  Tuple=("en_XX",)			,		A       :  Optional[int]=None			,		**A       :  List[str]			,		)       ->   Dict:



						"""simple docstring"""






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

						_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
						_UpperCAmelCase			=       pre_norm
						_UpperCAmelCase			=       adapter_reduction_factor
						_UpperCAmelCase			=       adapter_layer_norm
						_UpperCAmelCase			=       adapter_reuse_layer_norm
						_UpperCAmelCase			=       ln_before_adapter
						_UpperCAmelCase			=       list(A)
						_UpperCAmelCase			=       default_language







class       __lowerCAmelCase   (      A						):



			@property
			def    _lowerCamelCase	(						self       :  Optional[Any])       ->   Mapping[str, Mapping[int, str]]:



						"""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),
						    ])
