





from collections import OrderedDict
from typing import Mapping

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


lowercase_					     =	logging.get_logger(__name__)

lowercase_					     =	{
    """xlm-mlm-en-2048""": """https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json""",
    """xlm-mlm-ende-1024""": """https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-enfr-1024""": """https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json""",
    """xlm-mlm-enro-1024""": """https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json""",
    """xlm-mlm-tlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json""",
    """xlm-mlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json""",
    """xlm-clm-enfr-1024""": """https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json""",
    """xlm-clm-ende-1024""": """https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-17-1280""": """https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json""",
    """xlm-mlm-100-1280""": """https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json""",
}
class        SCREAMING_SNAKE_CASE     (_UpperCamelCase   ):
   _UpperCamelCase					:	Union[str, Any]				      = 'xlm'
   _UpperCamelCase					:	Optional[int]				      = {
       'hidden_size': 'emb_dim',
       'num_attention_heads': 'n_heads',
       'num_hidden_layers': 'n_layers',
       'n_words': 'vocab_size',  # For backward compatibility
   }


   def __init__(					self    :       str    ,  a    :       Optional[int]=30_145    ,  a    :       Union[str, Any]=2_048    ,  a    :       List[Any]=12    ,  a    :       Optional[Any]=16    ,  a    :       Optional[int]=0.1    ,  a    :       str=0.1    ,  a    :       List[Any]=True    ,  a    :       Optional[int]=False    ,  a    :       Any=False    ,  a    :       List[str]=False    ,  a    :       List[Any]=1    ,  a    :       List[Any]=True    ,  a    :       Any=512    ,  a    :       Tuple=2_048**-0.5    ,  a    :       Dict=1E-1_2    ,  a    :       Any=0.02    ,  a    :       List[str]=0    ,  a    :       Tuple=1    ,  a    :       Optional[int]=2    ,  a    :       Union[str, Any]=3    ,  a    :       Optional[Any]=5    ,  a    :       List[str]=True    ,  a    :       str="first"    ,  a    :       Optional[int]=True    ,  a    :       Any=None    ,  a    :       Tuple=True    ,  a    :       Tuple=0.1    ,  a    :       List[str]=5    ,  a    :       List[str]=5    ,  a    :       Dict=0    ,  a    :       Tuple=0    ,  a    :       int=2    ,  a    :       Dict=0    ,  **a    :       Dict    ,  )->     Tuple:





     """simple docstring"""







     lowercase__			    =						vocab_size
     lowercase__			    =						emb_dim
     lowercase__			    =						n_layers
     lowercase__			    =						n_heads
     lowercase__			    =						dropout
     lowercase__			    =						attention_dropout
     lowercase__			    =						gelu_activation
     lowercase__			    =						sinusoidal_embeddings
     lowercase__			    =						causal
     lowercase__			    =						asm
     lowercase__			    =						n_langs
     lowercase__			    =						use_lang_emb
     lowercase__			    =						layer_norm_eps
     lowercase__			    =						bos_index
     lowercase__			    =						eos_index
     lowercase__			    =						pad_index
     lowercase__			    =						unk_index
     lowercase__			    =						mask_index
     lowercase__			    =						is_encoder
     lowercase__			    =						max_position_embeddings
     lowercase__			    =						embed_init_std
     lowercase__			    =						init_std
     lowercase__			    =						summary_type
     lowercase__			    =						summary_use_proj
     lowercase__			    =						summary_activation
     lowercase__			    =						summary_proj_to_labels
     lowercase__			    =						summary_first_dropout
     lowercase__			    =						start_n_top
     lowercase__			    =						end_n_top
     lowercase__			    =						mask_token_id
     lowercase__			    =						lang_id

     if "n_words" in kwargs:
       lowercase__			    =						kwargs["n_words"]

     super().__init__(pad_token_id=a    ,  bos_token_id=a    ,  **a )






class        SCREAMING_SNAKE_CASE     (_UpperCamelCase   ):


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       Any )->     Dict:





     """simple docstring"""







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








class        SCREAMING_SNAKE_CASE     :  # Public class to implement a graph


   def __init__(					self    :       int    ,  a    :       int    ,  a    :       int    ,  a    :       list[list[bool]] )->     None:





     """simple docstring"""







     lowercase__			    =						row
     lowercase__			    =						col
     lowercase__			    =						graph


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       int    ,  a    :       int    ,  a    :       list[list[bool]] )->     bool:





     """simple docstring"""







     return (
         0 <= i < self.ROW
         and 0 <= j < self.COL
         and not visited[i][j]
         and self.graph[i][j]
     )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str]    ,  a    :       int    ,  a    :       int    ,  a    :       list[list[bool]] )->     None:





     """simple docstring"""







     lowercase__			    =						[-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
     lowercase__			    =						[-1, 0, 1, -1, 1, -1, 0, 1]
     lowercase__			    =						True  # Make those cells visited
     for k in range(8 ):
       if self.is_safe(i + row_nbr[k]    ,  j + col_nbr[k]    ,  a ):
         self.diffs(i + row_nbr[k]    ,  j + col_nbr[k]    ,  a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str] )->     int:  # And finally, count all islands.





     """simple docstring"""







     lowercase__			    =						[[False for j in range(self.COL )] for i in range(self.ROW )]
     lowercase__			    =						0
     for i in range(self.ROW ):
       for j in range(self.COL ):
         if visited[i][j] is False and self.graph[i][j] == 1:
           self.diffs(a    ,  a    ,  a )
           count += 1
     return count


