

'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowerCamelCase					: List[str]   					=	TypeVar("T")







class 				A__       (			Generic[T]    ):





  def __init__(						self :      Optional[int]				,   _a :      List[Any]				,   _a :      Dict					)      ->       Optional[int]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE				       =None

       _SCREAMING_SNAKE_CASE				       =len(A__					)
       _SCREAMING_SNAKE_CASE				       =[any_type for _ in range(self.N					)] + arr
       _SCREAMING_SNAKE_CASE				       =fnc
       self.build()





  def 		A    (						self :      Any					)      ->       int:





       '''simple docstring'''






       for p in range(self.N - 1				,   0				,   -1					):
            _SCREAMING_SNAKE_CASE				       =self.fn(self.st[p * 2]				,   self.st[p * 2 + 1]					)





  def 		A    (						self :      str				,   _a :      int				,   _a :      Union[str, Any]					)      ->       Dict:





       '''simple docstring'''






       p += self.N
       _SCREAMING_SNAKE_CASE				       =v
       while p > 1:
            _SCREAMING_SNAKE_CASE				       =p // 2
            _SCREAMING_SNAKE_CASE				       =self.fn(self.st[p * 2]				,   self.st[p * 2 + 1]					)





  def 		A    (						self :      List[Any]				,   _a :      Any				,   _a :      Any					)      ->       Union[str, Any]:  # noqa: E741





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE				       =l + self.N, r + self.N

       _SCREAMING_SNAKE_CASE				       =None
       while l <= r:
            if l % 2 == 1:
                 _SCREAMING_SNAKE_CASE				       =self.st[l] if res is None else self.fn(A__				,   self.st[l]					)
            if r % 2 == 0:
                 _SCREAMING_SNAKE_CASE				       =self.st[r] if res is None else self.fn(A__				,   self.st[r]					)
            _SCREAMING_SNAKE_CASE				       =(l + 1) // 2, (r - 1) // 2
       return res


if __name__ == "__main__":
     from functools import reduce

     lowerCamelCase					: Union[str, Any]   					=	[1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

     lowerCamelCase					: Optional[int]   					=	{
         0: 7,
         1: 2,
         2: 6,
         3: -1_4,
         4: 5,
         5: 4,
         6: 7,
         7: -1_0,
         8: 9,
         9: 1_0,
         1_0: 1_2,
         1_1: 1,
     }

     lowerCamelCase					: Optional[Any]   					=	SegmentTree(test_array, min)
     lowerCamelCase					: str   					=	SegmentTree(test_array, max)
     lowerCamelCase					: int   					=	SegmentTree(test_array, lambda a, b: a + b)


     def 			_lowerCAmelCase   (		) ->     None:
          """simple docstring"""




          for i in range(len(__lowercase							)							):
               for j in range(__lowercase				,					len(__lowercase							)							):
                    _SCREAMING_SNAKE_CASE				       =reduce(__lowercase				,					test_array[i : j + 1]							)
                    _SCREAMING_SNAKE_CASE				       =reduce(__lowercase				,					test_array[i : j + 1]							)
                    _SCREAMING_SNAKE_CASE				       =reduce(lambda _UpperCamelCase				,					_UpperCamelCase							: a + b				,					test_array[i : j + 1]							)
                    assert min_range == min_segment_tree.query(__lowercase				,					__lowercase							)
                    assert max_range == max_segment_tree.query(__lowercase				,					__lowercase							)
                    assert sum_range == sum_segment_tree.query(__lowercase				,					__lowercase							)

     test_all_segments()

     for index, value in test_updates.items():
          lowerCamelCase					: Optional[int]   					=	value
          min_segment_tree.update(index, value)
          max_segment_tree.update(index, value)
          sum_segment_tree.update(index, value)
          test_all_segments()








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


_UpperCamelCase			:	Optional[int]								=logging.get_logger(__name__)

_UpperCamelCase			:	Tuple								={
    '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 						UpperCAmelCase__ (							__snake_case							):
		__snake_case      :       Any     =   "canine"







		def __init__(					self       ,A__=768       ,A__=12       ,A__=12       ,A__=3072       ,A__="gelu"       ,A__=0.1       ,A__=0.1       ,A__=16384       ,A__=16       ,A__=0.02       ,A__=1E-12       ,A__=0       ,A__=0xE_000       ,A__=0xE_001       ,A__=4       ,A__=4       ,A__=8       ,A__=16384       ,A__=128       ,**A__       ,):
						super().__init__(pad_token_id=A__       ,bos_token_id=A__       ,eos_token_id=A__       ,**A__		)

						_A	:				int   =      max_position_embeddings
						_A	:				Dict   =      hidden_size
						_A	:				List[str]   =      num_hidden_layers
						_A	:				Optional[Any]   =      num_attention_heads
						_A	:				Optional[Any]   =      intermediate_size
						_A	:				Optional[Any]   =      hidden_act
						_A	:				str   =      hidden_dropout_prob
						_A	:				Optional[int]   =      attention_probs_dropout_prob
						_A	:				Union[str, Any]   =      initializer_range
						_A	:				Dict   =      type_vocab_size
						_A	:				Optional[Any]   =      layer_norm_eps

						# Character config:
						_A	:				Union[str, Any]   =      downsampling_rate
						_A	:				List[str]   =      upsampling_kernel_size
						_A	:				str   =      num_hash_functions
						_A	:				Optional[Any]   =      num_hash_buckets
						_A	:				Optional[Any]   =      local_transformer_stride



