



"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase  			=		logging.get_logger(__name__)

lowerCamelCase  			=		{
    """facebook/xlm-roberta-xl""": """https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json""",
    """facebook/xlm-roberta-xxl""": """https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json""",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}
class  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       UpperCamelCase		=	'''xlm-roberta-xl'''



       def __init__(				self     :    Union[str, Any]						,							_UpperCAmelCase     :    Dict=250880						,							_UpperCAmelCase     :    List[str]=2560						,							_UpperCAmelCase     :    Any=36						,							_UpperCAmelCase     :    Dict=32						,							_UpperCAmelCase     :    Optional[int]=10240						,							_UpperCAmelCase     :    List[str]="gelu"						,							_UpperCAmelCase     :    Optional[Any]=0.1						,							_UpperCAmelCase     :    Optional[Any]=0.1						,							_UpperCAmelCase     :    Tuple=514						,							_UpperCAmelCase     :    str=1						,							_UpperCAmelCase     :    Union[str, Any]=0.02						,							_UpperCAmelCase     :    Tuple=1e-05						,							_UpperCAmelCase     :    str=1						,							_UpperCAmelCase     :    Any=0						,							_UpperCAmelCase     :    Optional[int]=2						,							_UpperCAmelCase     :    Dict="absolute"						,							_UpperCAmelCase     :    List[Any]=True						,							_UpperCAmelCase     :    Tuple=None						,							**_UpperCAmelCase     :    List[Any]						,							)					->		Optional[Any]:


             '''simple docstring'''




             super().__init__(pad_token_id=_UpperCAmelCase						,							bos_token_id=_UpperCAmelCase						,							eos_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_     					=				position_embedding_type
             UpperCAmelCase_     					=				use_cache
             UpperCAmelCase_     					=				classifier_dropout



class  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       @property
       def 	lowercase__							(				self     :    int       )					->		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),
                 ]       )







"""simple docstring"""

def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						list:
 lowerCAmelCase__   :				List[str] 			=				len(lowercase__   )
 lowerCAmelCase__   :				Dict 			=				[]
 for i in range(len(lowercase__   ) - pat_len + 1   ):
  lowerCAmelCase__   :				Union[str, Any] 			=				True
  for j in range(lowercase__   ):
   if s[i + j] != pattern[j]:
    lowerCAmelCase__   :				int 			=				False
    break
  if match_found:
   position.append(lowercase__   )
 return position


if __name__ == "__main__":
    assert naive_pattern_search("""ABCDEFG""", """DE""") == [3]
    print(naive_pattern_search("""ABAAABCDBBABCDDEBCABC""", """ABC"""))






