"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


a							=logging.get_logger(__name__)

a							={
    '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    __UpperCAmelCase						(	__lowerCAmelCase	):
				A__      :   int  							=       '''flaubert'''
				A__      :   Tuple  							=       {
				    '''hidden_size''': '''emb_dim''',
				    '''num_attention_heads''': '''n_heads''',
				    '''num_hidden_layers''': '''n_layers''',
				    '''n_words''': '''vocab_size''',  # For backward compatibility
				}

				def __init__(      self	, _lowerCamelCase=False	, _lowerCamelCase=0.0	, _lowerCamelCase=30145	, _lowerCamelCase=2048	, _lowerCamelCase=12	, _lowerCamelCase=16	, _lowerCamelCase=0.1	, _lowerCamelCase=0.1	, _lowerCamelCase=True	, _lowerCamelCase=False	, _lowerCamelCase=False	, _lowerCamelCase=False	, _lowerCamelCase=1	, _lowerCamelCase=True	, _lowerCamelCase=512	, _lowerCamelCase=2048**-0.5	, _lowerCamelCase=1E-12	, _lowerCamelCase=0.0_2	, _lowerCamelCase=0	, _lowerCamelCase=1	, _lowerCamelCase=2	, _lowerCamelCase=3	, _lowerCamelCase=5	, _lowerCamelCase=True	, _lowerCamelCase="first"	, _lowerCamelCase=True	, _lowerCamelCase=None	, _lowerCamelCase=True	, _lowerCamelCase=0.1	, _lowerCamelCase=5	, _lowerCamelCase=5	, _lowerCamelCase=0	, _lowerCamelCase=0	, _lowerCamelCase=2	, _lowerCamelCase=0	, **_lowerCamelCase	, ):
										lowerCamelCase__					=pre_norm
										lowerCamelCase__					=layerdrop
										lowerCamelCase__					=vocab_size
										lowerCamelCase__					=emb_dim
										lowerCamelCase__					=n_layers
										lowerCamelCase__					=n_heads
										lowerCamelCase__					=dropout
										lowerCamelCase__					=attention_dropout
										lowerCamelCase__					=gelu_activation
										lowerCamelCase__					=sinusoidal_embeddings
										lowerCamelCase__					=causal
										lowerCamelCase__					=asm
										lowerCamelCase__					=n_langs
										lowerCamelCase__					=use_lang_emb
										lowerCamelCase__					=layer_norm_eps
										lowerCamelCase__					=bos_index
										lowerCamelCase__					=eos_index
										lowerCamelCase__					=pad_index
										lowerCamelCase__					=unk_index
										lowerCamelCase__					=mask_index
										lowerCamelCase__					=is_encoder
										lowerCamelCase__					=max_position_embeddings
										lowerCamelCase__					=embed_init_std
										lowerCamelCase__					=init_std
										lowerCamelCase__					=summary_type
										lowerCamelCase__					=summary_use_proj
										lowerCamelCase__					=summary_activation
										lowerCamelCase__					=summary_proj_to_labels
										lowerCamelCase__					=summary_first_dropout
										lowerCamelCase__					=start_n_top
										lowerCamelCase__					=end_n_top
										lowerCamelCase__					=mask_token_id
										lowerCamelCase__					=lang_id

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

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






class    __UpperCAmelCase						(	__lowerCAmelCase	):

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



"""simple docstring"""


def 			lowerCamelCase_ (					__lowerCAmelCase				)							->					str:




						'''simple docstring'''



						lowerCamelCase__					=1
						lowerCamelCase__					=0
						lowerCamelCase__					=1
						lowerCamelCase__					=1
						lowerCamelCase__					=3
						lowerCamelCase__					=3
						lowerCamelCase__					=limit
						lowerCamelCase__					=0

						lowerCamelCase__					=""
						while counter != decimal + 1:
												if 4 * q + r - t < n * t:
																		result += str(__lowerCAmelCase				)
																		if counter == 0:
																								result += "."

																		if decimal == counter:
																								break

																		counter += 1
																		lowerCamelCase__					=10 * (r - n * t)
																		lowerCamelCase__					=((10 * (3 * q + r)) // t) - 10 * n
																		q *= 10
																		lowerCamelCase__					=nr
												else:
																		lowerCamelCase__					=(2 * q + r) * l
																		lowerCamelCase__					=(q * (7 * k) + 2 + (r * l)) // (t * l)
																		q *= k
																		t *= l
																		l += 2
																		k += 1
																		lowerCamelCase__					=nn
																		lowerCamelCase__					=nr
						return result





def 			lowerCamelCase_ (					)							->					None:




						'''simple docstring'''



						print(F'''{calculate_pi(50				) = }'''				)
						import doctest

						doctest.testmod()


if __name__ == "__main__":
	main()


