





from collections import OrderedDict
from typing import Mapping

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


_UpperCAmelCase       : Optional[Any]			     =       logging.get_logger(__name__)

_UpperCAmelCase       : Union[str, Any]			     =       {
    """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      lowerCAmelCase							(      __UpperCamelCase    ):
 UpperCAmelCase__									=	"""camembert"""
 def __init__(   self						:   Optional[Any]    ,  UpperCAmelCase						:   Dict=30522    ,  UpperCAmelCase						:   Any=768    ,  UpperCAmelCase						:   Any=12    ,  UpperCAmelCase						:   Optional[int]=12    ,  UpperCAmelCase						:   int=3072    ,  UpperCAmelCase						:   Dict="gelu"    ,  UpperCAmelCase						:   List[Any]=0.1    ,  UpperCAmelCase						:   Tuple=0.1    ,  UpperCAmelCase						:   Optional[int]=512    ,  UpperCAmelCase						:   int=2    ,  UpperCAmelCase						:   int=0.0_2    ,  UpperCAmelCase						:   List[str]=1e-12    ,  UpperCAmelCase						:   Tuple=1    ,  UpperCAmelCase						:   Optional[Any]=0    ,  UpperCAmelCase						:   int=2    ,  UpperCAmelCase						:   List[str]="absolute"    ,  UpperCAmelCase						:   Optional[Any]=True    ,  UpperCAmelCase						:   Optional[Any]=None    ,  **UpperCAmelCase						:   int    ,  )    ->			str:
     super().__init__(pad_token_id=UpperCAmelCase    ,  bos_token_id=UpperCAmelCase    ,  eos_token_id=UpperCAmelCase    ,  **UpperCAmelCase			)

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


class      lowerCAmelCase							(      __UpperCamelCase    ):
 @property
 def   A_			(   self						:   List[Any]			)    ->			Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         lowerCamelCase__					:   int      				=	{0: 'batch', 1: 'choice', 2: 'sequence'}
     else:
         lowerCamelCase__					:   Optional[Any]      				=	{0: 'batch', 1: 'sequence'}
     return OrderedDict(
         [
             ('input_ids', dynamic_axis),
             ('attention_mask', dynamic_axis),
         ]			)












_UpperCAmelCase       : str			     =       """Tobias Carryer"""

from time import time

class      lowerCAmelCase							:
 def __init__(   self						:   Optional[Any]    ,  UpperCAmelCase						:   int    ,  UpperCAmelCase						:   Dict    ,  UpperCAmelCase						:   Any    ,  UpperCAmelCase						:   str=int(time()			)			)    ->			Optional[int]:  # noqa: B008
     lowerCamelCase__					:   List[Any]      				=	multiplier
     lowerCamelCase__					:   Tuple      				=	increment
     lowerCamelCase__					:   int      				=	modulo
     lowerCamelCase__					:   Any      				=	seed







 def   A_			(   self						:   Optional[int]			)    ->			List[Any]:
     lowerCamelCase__					:   List[str]      				=	(self.multiplier * self.seed + self.increment) % self.modulo
     return self.seed


if __name__ == "__main__":
    # Show the LCG in action.
    _UpperCAmelCase       : List[Any]			     =       LinearCongruentialGenerator(1_66_45_25, 10_13_90_42_23, 2 << 31)
    while True:
        print(lcg.next_number())





