






"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


A__       :				int 					=					logging.get_logger(__name__)

A__       :				List[str] 					=					{
    '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    lowercase__			(							snake_case__   ):
			_UpperCAmelCase		:List[Any]   			= "xlm"
			_UpperCAmelCase		:Dict   			= {
			    "hidden_size": "emb_dim",
			    "num_attention_heads": "n_heads",
			    "num_hidden_layers": "n_layers",
			    "n_words": "vocab_size",  # For backward compatibility
			}


			def __init__(      self     :  Tuple   ,       snake_case__     :  int=3_0145   ,       snake_case__     :  Optional[int]=2048   ,       snake_case__     :  Optional[int]=12   ,       snake_case__     :  int=16   ,       snake_case__     :  List[str]=0.1   ,       snake_case__     :  List[str]=0.1   ,       snake_case__     :  List[str]=True   ,       snake_case__     :  List[str]=False   ,       snake_case__     :  Optional[Any]=False   ,       snake_case__     :  Any=False   ,       snake_case__     :  str=1   ,       snake_case__     :  Any=True   ,       snake_case__     :  Any=512   ,       snake_case__     :  str=2048**-0.5   ,       snake_case__     :  Tuple=1E-12   ,       snake_case__     :  Any=0.02   ,       snake_case__     :  Optional[Any]=0   ,       snake_case__     :  List[str]=1   ,       snake_case__     :  List[str]=2   ,       snake_case__     :  List[Any]=3   ,       snake_case__     :  Union[str, Any]=5   ,       snake_case__     :  List[str]=True   ,       snake_case__     :  Optional[Any]="first"   ,       snake_case__     :  List[Any]=True   ,       snake_case__     :  Optional[Any]=None   ,       snake_case__     :  int=True   ,       snake_case__     :  int=0.1   ,       snake_case__     :  Tuple=5   ,       snake_case__     :  List[Any]=5   ,       snake_case__     :  List[Any]=0   ,       snake_case__     :  List[Any]=0   ,       snake_case__     :  Union[str, Any]=2   ,       snake_case__     :  Union[str, Any]=0   ,       **snake_case__     :  List[str]   ,       ):
										lowerCamelCase_       :							Union[str, Any]									=vocab_size
										lowerCamelCase_       :							Union[str, Any]									=emb_dim
										lowerCamelCase_       :							Optional[int]									=n_layers
										lowerCamelCase_       :							Optional[Any]									=n_heads
										lowerCamelCase_       :							Union[str, Any]									=dropout
										lowerCamelCase_       :							Dict									=attention_dropout
										lowerCamelCase_       :							str									=gelu_activation
										lowerCamelCase_       :							List[Any]									=sinusoidal_embeddings
										lowerCamelCase_       :							Dict									=causal
										lowerCamelCase_       :							List[Any]									=asm
										lowerCamelCase_       :							Tuple									=n_langs
										lowerCamelCase_       :							Tuple									=use_lang_emb
										lowerCamelCase_       :							int									=layer_norm_eps
										lowerCamelCase_       :							Tuple									=bos_index
										lowerCamelCase_       :							List[str]									=eos_index
										lowerCamelCase_       :							str									=pad_index
										lowerCamelCase_       :							str									=unk_index
										lowerCamelCase_       :							str									=mask_index
										lowerCamelCase_       :							List[Any]									=is_encoder
										lowerCamelCase_       :							Dict									=max_position_embeddings
										lowerCamelCase_       :							str									=embed_init_std
										lowerCamelCase_       :							List[Any]									=init_std
										lowerCamelCase_       :							str									=summary_type
										lowerCamelCase_       :							Dict									=summary_use_proj
										lowerCamelCase_       :							str									=summary_activation
										lowerCamelCase_       :							Optional[int]									=summary_proj_to_labels
										lowerCamelCase_       :							str									=summary_first_dropout
										lowerCamelCase_       :							Union[str, Any]									=start_n_top
										lowerCamelCase_       :							int									=end_n_top
										lowerCamelCase_       :							Optional[int]									=mask_token_id
										lowerCamelCase_       :							List[str]									=lang_id

										if "n_words" in kwargs:
																	lowerCamelCase_       :							int									=kwargs["""n_words"""]

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







class    lowercase__			(							snake_case__   ):


			@property
			def 	UpperCAmelCase__						(      self     :  List[Any]					):






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







"""simple docstring"""






import numpy as np

UpperCAmelCase    :     Optional[Any]   						=		[
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]





class      lowerCamelCase__   :







					"""simple docstring"""


					def __init__(       self    : Union[str, Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[Any]      							=					np.array(UpperCamelCase  )






					def lowerCamelCase__							(       self    : int ,       UpperCamelCase    : str  ):
												'''simple docstring'''






												__UpperCAmelCase							,__UpperCAmelCase   :						Optional[Any]      							=					np.where(letter == self.SQUARE  )
												__UpperCAmelCase   :						Optional[Any]      							=					np.concatenate([indexa + 1, indexa + 1]  )
												return indexes






					def lowerCamelCase__							(       self    : Any ,       UpperCamelCase    : int ,       UpperCamelCase    : int  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					self.SQUARE[indexa - 1, indexa - 1]
												return letter






					def lowerCamelCase__							(       self    : Optional[int] ,       UpperCamelCase    : str  ):
												'''simple docstring'''






												__UpperCAmelCase   :						str      							=					message.lower()
												__UpperCAmelCase   :						List[Any]      							=					message.replace(""" """ ,       """"""  )
												__UpperCAmelCase   :						List[Any]      							=					message.replace("""j""" ,       """i"""  )

												__UpperCAmelCase   :						Optional[int]      							=					np.empty((2, len(UpperCamelCase  ))  )
												for letter_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						List[Any]      							=					self.letter_to_numbers(message[letter_index]  )

																			__UpperCAmelCase   :						str      							=					numbers[0]
																			__UpperCAmelCase   :						int      							=					numbers[1]

												__UpperCAmelCase   :						Union[str, Any]      							=					first_step.reshape(2 * len(UpperCamelCase  )  )
												__UpperCAmelCase   :						Optional[Any]      							=					""""""
												for numbers_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						Any      							=					int(second_step[numbers_index * 2]  )
																			__UpperCAmelCase   :						Any      							=					int(second_step[(numbers_index * 2) + 1]  )
																			__UpperCAmelCase   :						str      							=					self.numbers_to_letter(UpperCamelCase ,       UpperCamelCase  )
																			__UpperCAmelCase   :						Optional[Any]      							=					encoded_message + letter

												return encoded_message






					def lowerCamelCase__							(       self    : Optional[int] ,       UpperCamelCase    : str  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Any      							=					message.lower()
												message.replace(""" """ ,       """"""  )
												__UpperCAmelCase   :						int      							=					np.empty(2 * len(UpperCamelCase  )  )
												for letter_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						Any      							=					self.letter_to_numbers(message[letter_index]  )
																			__UpperCAmelCase   :						Any      							=					numbers[0]
																			__UpperCAmelCase   :						Dict      							=					numbers[1]

												__UpperCAmelCase   :						str      							=					first_step.reshape((2, len(UpperCamelCase  ))  )
												__UpperCAmelCase   :						Union[str, Any]      							=					""""""
												for numbers_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						Optional[int]      							=					int(second_step[0, numbers_index]  )
																			__UpperCAmelCase   :						Tuple      							=					int(second_step[1, numbers_index]  )
																			__UpperCAmelCase   :						Tuple      							=					self.numbers_to_letter(UpperCamelCase ,       UpperCamelCase  )
																			__UpperCAmelCase   :						Any      							=					decoded_message + letter

												return decoded_message
