






"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase    			=       logging.get_logger(__name__)

lowercase    			=       {
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}

class 						A_							(      snake_case_  ):
				UpperCAmelCase__        =				'''canine'''







				def __init__(							self							:						Optional[Any]						,    __lowerCamelCase							:						Any=7_6_8						,    __lowerCamelCase							:						Dict=1_2						,    __lowerCamelCase							:						str=1_2						,    __lowerCamelCase							:						Any=3_0_7_2						,    __lowerCamelCase							:						Optional[Any]="gelu"						,    __lowerCamelCase							:						str=0.1						,    __lowerCamelCase							:						Union[str, Any]=0.1						,    __lowerCamelCase							:						int=1_6_3_8_4						,    __lowerCamelCase							:						Tuple=1_6						,    __lowerCamelCase							:						List[Any]=0.02						,    __lowerCamelCase							:						Union[str, Any]=1e-12						,    __lowerCamelCase							:						str=0						,    __lowerCamelCase							:						List[str]=0xE_0_0_0						,    __lowerCamelCase							:						Dict=0xE_0_0_1						,    __lowerCamelCase							:						List[Any]=4						,    __lowerCamelCase							:						Optional[Any]=4						,    __lowerCamelCase							:						Optional[int]=8						,    __lowerCamelCase							:						Union[str, Any]=1_6_3_8_4						,    __lowerCamelCase							:						Union[str, Any]=1_2_8						,    **__lowerCamelCase							:						Optional[Any]						,    )				->					str:
										super().__init__(pad_token_id=__lowerCamelCase						,    bos_token_id=__lowerCamelCase						,    eos_token_id=__lowerCamelCase						,    **__lowerCamelCase	)

										__magic_name__            =     max_position_embeddings
										__magic_name__            =     hidden_size
										__magic_name__            =     num_hidden_layers
										__magic_name__            =     num_attention_heads
										__magic_name__            =     intermediate_size
										__magic_name__            =     hidden_act
										__magic_name__            =     hidden_dropout_prob
										__magic_name__            =     attention_probs_dropout_prob
										__magic_name__            =     initializer_range
										__magic_name__            =     type_vocab_size
										__magic_name__            =     layer_norm_eps

										# Character config:
										__magic_name__            =     downsampling_rate
										__magic_name__            =     upsampling_kernel_size
										__magic_name__            =     num_hash_functions
										__magic_name__            =     num_hash_buckets
										__magic_name__            =     local_transformer_stride











"""simple docstring"""

from __future__ import annotations

from random import choice






def _lowerCAmelCase	(  __lowerCamelCase:Optional[int]   ):

						'''simple docstring'''






						return choice(__lowerCamelCase   )






def _lowerCAmelCase	(  __lowerCamelCase:list[int] ,						__lowerCamelCase:int   ):

						'''simple docstring'''






						__magic_name__            =     random_pivot(__lowerCamelCase   )

						# partition based on pivot
						# linear time
						__magic_name__            =     [e for e in lst if e < pivot]
						__magic_name__            =     [e for e in lst if e > pivot]

						# if we get lucky, pivot might be the element we want.
						# we can easily see this:
						# small (elements smaller than k)
						# + pivot (kth element)
						# + big (elements larger than k)
						if len(__lowerCamelCase   ) == k - 1:
												return pivot
						# pivot is in elements bigger than k
						elif len(__lowerCamelCase   ) < k - 1:
												return kth_number(__lowerCamelCase ,						k - len(__lowerCamelCase   ) - 1   )
						# pivot is in elements smaller than k
						else:
												return kth_number(__lowerCamelCase ,						__lowerCamelCase   )


if __name__ == "__main__":
			import doctest

			doctest.testmod()



