



'''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						      =       {
    '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/config.json''',
    '''umberto-commoncrawl-cased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'''
    ),
    '''umberto-wikipedia-uncased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'''
    ),
}

class      __magic_name__						(   _UpperCamelCase       ):
							lowerCAmelCase	:   Any           = 'camembert'







							def __init__(							self :	int     ,_UpperCAmelCase :	Tuple=30522     ,_UpperCAmelCase :	Union[str, Any]=768     ,_UpperCAmelCase :	str=12     ,_UpperCAmelCase :	Any=12     ,_UpperCAmelCase :	str=3072     ,_UpperCAmelCase :	Any="gelu"     ,_UpperCAmelCase :	int=0.1     ,_UpperCAmelCase :	Union[str, Any]=0.1     ,_UpperCAmelCase :	Dict=512     ,_UpperCAmelCase :	Any=2     ,_UpperCAmelCase :	Any=0.02     ,_UpperCAmelCase :	int=1E-12     ,_UpperCAmelCase :	str=1     ,_UpperCAmelCase :	int=0     ,_UpperCAmelCase :	List[Any]=2     ,_UpperCAmelCase :	int="absolute"     ,_UpperCAmelCase :	List[str]=True     ,_UpperCAmelCase :	Tuple=None     ,**_UpperCAmelCase :	Dict     ,):
									super().__init__(pad_token_id=_UpperCAmelCase     ,bos_token_id=_UpperCAmelCase     ,eos_token_id=_UpperCAmelCase     ,**_UpperCAmelCase		)

									_a					:				Dict				=							vocab_size
									_a					:				Dict				=							hidden_size
									_a					:				Union[str, Any]				=							num_hidden_layers
									_a					:				Optional[int]				=							num_attention_heads
									_a					:				Dict				=							hidden_act
									_a					:				Dict				=							intermediate_size
									_a					:				Tuple				=							hidden_dropout_prob
									_a					:				Tuple				=							attention_probs_dropout_prob
									_a					:				Tuple				=							max_position_embeddings
									_a					:				Tuple				=							type_vocab_size
									_a					:				int				=							initializer_range
									_a					:				int				=							layer_norm_eps
									_a					:				List[str]				=							position_embedding_type
									_a					:				str				=							use_cache
									_a					:				int				=							classifier_dropout



class      __magic_name__						(   _UpperCamelCase       ):







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









'''simple docstring'''

__lowerCAmelCase						      =       range(2, 20 + 1)
__lowerCAmelCase						      =       [10**k for k in range(ks[-1] + 1)]
__lowerCAmelCase						      =       {}



def 					__lowerCamelCase					(				lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  )      ->				Optional[Any]:
		_a					:				Optional[int]				=							sum(a_i[j] for j in range(lowerCAmelCase_						,      len(lowerCAmelCase_  )  )  )
		_a					:				List[str]				=							sum(a_i[j] * base[j] for j in range(min(len(lowerCAmelCase_  )						,      lowerCAmelCase_  )  )  )

		_a	, _a					:				Any				=							0, 0
		_a					:				Any				=							n - i

		_a					:				List[Any]				=							memo.get(lowerCAmelCase_  )

		if sub_memo is not None:
				_a					:				Tuple				=							sub_memo.get(lowerCAmelCase_  )

				if jumps is not None and len(lowerCAmelCase_  ) > 0:
						# find and make the largest jump without going over
						_a					:				Any				=							-1
						for _k in range(len(lowerCAmelCase_  ) - 1						,      -1						,      -1  ):
								if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
										_a					:				Any				=							_k
										break

						if max_jump >= 0:
								_a	, _a	, _a					:				Tuple				=							jumps[max_jump]
								# since the difference between jumps is cached, add c
								_a					:				Union[str, Any]				=							diff + c
								for j in range(min(lowerCAmelCase_						,      len(lowerCAmelCase_  )  )  ):
										_a	, _a					:				Dict				=							divmod(lowerCAmelCase_						,      10  )
								if new_c > 0:
										add(lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  )

				else:
						_a					:				Tuple				=							[]
		else:
				_a					:				Any				=							{c: []}
				_a					:				Optional[Any]				=							sub_memo

		if dn >= max_dn or c + diff >= base[k]:
				return diff, dn

		if k > ks[0]:
				while True:
						# keep doing smaller jumps
						_a	, _a					:				Dict				=							next_term(lowerCAmelCase_						,      k - 1						,      i + dn						,      lowerCAmelCase_  )
						diff += _diff
						dn += terms_jumped

						if dn >= max_dn or c + diff >= base[k]:
								break
		else:
				# would be too small a jump, just compute sequential terms instead
				_a	, _a					:				Any				=							compute(lowerCAmelCase_						,      lowerCAmelCase_						,      i + dn						,      lowerCAmelCase_  )
				diff += _diff
				dn += terms_jumped

		_a					:				Tuple				=							sub_memo[c]

		# keep jumps sorted by # of terms skipped
		_a					:				Any				=							0
		while j < len(lowerCAmelCase_  ):
				if jumps[j][1] > dn:
						break
				j += 1

		# cache the jump for this value digitsum(b) and c
		sub_memo[c].insert(lowerCAmelCase_						,      (diff, dn, k)  )
		return (diff, dn)



def 					__lowerCamelCase					(				lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  )      ->				str:
		if i >= n:
				return 0, i
		if k > len(lowerCAmelCase_  ):
				a_i.extend([0 for _ in range(k - len(lowerCAmelCase_  )  )]  )

		# note: a_i -> b * 10^k + c
		# ds_b -> digitsum(b)
		# ds_c -> digitsum(c)
		_a					:				Any				=							i
		_a	, _a	, _a					:				Optional[int]				=							0, 0, 0
		for j in range(len(lowerCAmelCase_  )  ):
				if j >= k:
						ds_b += a_i[j]
				else:
						ds_c += a_i[j]

		while i < n:
				i += 1
				_a					:				Any				=							ds_c + ds_b
				diff += addend
				_a					:				int				=							0
				for j in range(lowerCAmelCase_  ):
						_a					:				Optional[Any]				=							a_i[j] + addend
						_a	, _a					:				Tuple				=							divmod(lowerCAmelCase_						,      10  )

						ds_c += a_i[j]

				if addend > 0:
						break

		if addend > 0:
				add(lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  )
		return diff, i - start_i



def 					__lowerCamelCase					(				lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  )      ->				int:
		for j in range(lowerCAmelCase_						,      len(lowerCAmelCase_  )  ):
				_a					:				Optional[Any]				=							digits[j] + addend
				if s >= 10:
						_a	, _a					:				List[str]				=							divmod(lowerCAmelCase_						,      10  )
						_a					:				List[str]				=							addend // 10 + quotient
				else:
						_a					:				Optional[Any]				=							s
						_a					:				Optional[Any]				=							addend // 10

				if addend == 0:
						break

		while addend > 0:
				_a	, _a					:				List[str]				=							divmod(lowerCAmelCase_						,      10  )
				digits.append(lowerCAmelCase_  )



def 					__lowerCamelCase					(				lowerCAmelCase_ = 10**15  )      ->				int:
		_a					:				Dict				=							[1]
		_a					:				int				=							1
		_a					:				Tuple				=							0
		while True:
				_a	, _a					:				str				=							next_term(lowerCAmelCase_						,      20						,      i + dn						,      lowerCAmelCase_  )
				dn += terms_jumped
				if dn == n - i:
						break

		_a					:				Union[str, Any]				=							0
		for j in range(len(lowerCAmelCase_  )  ):
				a_n += digits[j] * 10**j
		return a_n


if __name__ == "__main__":
							print(f"""{solution() = }""")




