






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__            =	{
    "flaubert/flaubert_small_cased": "https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json",
    "flaubert/flaubert_base_uncased": "https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json",
    "flaubert/flaubert_base_cased": "https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json",
    "flaubert/flaubert_large_cased": "https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json",
}






class 	lowercase_      (			lowercase     ):






      '''simple docstring'''




      __snake_case  						=						'''flaubert'''
      __snake_case  						=						{
          '''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				,      __UpperCAmelCase   :		int=False				,      __UpperCAmelCase   :		int=0.0				,      __UpperCAmelCase   :		str=30_145				,      __UpperCAmelCase   :		Union[str, Any]=2_048				,      __UpperCAmelCase   :		List[Any]=12				,      __UpperCAmelCase   :		Any=16				,      __UpperCAmelCase   :		List[str]=0.1				,      __UpperCAmelCase   :		Union[str, Any]=0.1				,      __UpperCAmelCase   :		Dict=True				,      __UpperCAmelCase   :		Optional[int]=False				,      __UpperCAmelCase   :		int=False				,      __UpperCAmelCase   :		List[Any]=False				,      __UpperCAmelCase   :		List[Any]=1				,      __UpperCAmelCase   :		List[Any]=True				,      __UpperCAmelCase   :		Optional[Any]=512				,      __UpperCAmelCase   :		Tuple=2_048**-0.5				,      __UpperCAmelCase   :		str=1e-1_2				,      __UpperCAmelCase   :		Union[str, Any]=0.02				,      __UpperCAmelCase   :		Optional[int]=0				,      __UpperCAmelCase   :		Dict=1				,      __UpperCAmelCase   :		int=2				,      __UpperCAmelCase   :		Dict=3				,      __UpperCAmelCase   :		Tuple=5				,      __UpperCAmelCase   :		Tuple=True				,      __UpperCAmelCase   :		Tuple="first"				,      __UpperCAmelCase   :		Any=True				,      __UpperCAmelCase   :		Tuple=None				,      __UpperCAmelCase   :		List[Any]=True				,      __UpperCAmelCase   :		int=0.1				,      __UpperCAmelCase   :		List[Any]=5				,      __UpperCAmelCase   :		Any=5				,      __UpperCAmelCase   :		Optional[Any]=0				,      __UpperCAmelCase   :		int=0				,      __UpperCAmelCase   :		Dict=2				,      __UpperCAmelCase   :		Dict=0				,      **__UpperCAmelCase   :		List[Any]				,      )					->int:




       """simple docstring"""


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

       if "n_words" in kwargs:
        a							=   kwargs['''n_words''']

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






class 	lowercase_      (			lowercase     ):






      '''simple docstring'''




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




       """simple docstring"""


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










import numpy as np

UpperCAmelCase__            =	[
    ["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 	lowercase_      :






      '''simple docstring'''




      def __init__(   self   :		Optional[Any]						)					->None:




       """simple docstring"""


       a							=   np.array(__UpperCAmelCase						)







      def    __lowerCAmelCase      (   self   :		List[str]				,      __UpperCAmelCase   :		str						)					->np.ndarray:




       """simple docstring"""


       a						,  a							=   np.where(letter == self.SQUARE						)
       a							=   np.concatenate([indexa + 1, indexa + 1]						)
       return indexes







      def    __lowerCAmelCase      (   self   :		int				,      __UpperCAmelCase   :		int				,      __UpperCAmelCase   :		int						)					->str:




       """simple docstring"""


       return self.SQUARE[indexa - 1, indexa - 1]







      def    __lowerCAmelCase      (   self   :		Tuple				,      __UpperCAmelCase   :		str						)					->str:




       """simple docstring"""


       a							=   message.lower()
       a							=   message.replace('''j'''				,      '''i'''						)

       a							=   ''''''
       for letter_index in range(len(__UpperCAmelCase						)						):
        if message[letter_index] != " ":
         a							=   self.letter_to_numbers(message[letter_index]						)
         a							=   encoded_message + str(numbers[0]						) + str(numbers[1]						)
        elif message[letter_index] == " ":
         a							=   encoded_message + ''' '''

       return encoded_message







      def    __lowerCAmelCase      (   self   :		Any				,      __UpperCAmelCase   :		str						)					->str:




       """simple docstring"""


       a							=   message.replace(''' '''				,      '''  '''						)
       a							=   ''''''
       for numbers_index in range(int(len(__UpperCAmelCase						) / 2						)						):
        if message[numbers_index * 2] != " ":
         a							=   message[numbers_index * 2]
         a							=   message[numbers_index * 2 + 1]

         a							=   self.numbers_to_letter(int(__UpperCAmelCase						)				,      int(__UpperCAmelCase						)						)
         a							=   decoded_message + letter
        elif message[numbers_index * 2] == " ":
         a							=   decoded_message + ''' '''

       return decoded_message


