

from collections.abc import Sequence
from queue import Queue







class 			lowercase    :




				def __init__( self				,       snake_case				,       snake_case				,       snake_case				,       snake_case=None				,       snake_case=None	):
											snake_case_          =   start
											snake_case_          =   end
											snake_case_          =   val
											snake_case_          =   (start + end) // 2
											snake_case_          =   left
											snake_case_          =   right




				def __repr__( self	):
											return F'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''







class 			lowercase    :




				def __init__( self				,       snake_case				,       snake_case	):
											snake_case_          =   collection
											snake_case_          =   function
											if self.collection:
																		snake_case_          =   self._build_tree(0				,       len(snake_case	) - 1	)




				def    a							( self				,       snake_case				,       snake_case	):
											self._update_tree(self.root				,       snake_case				,       snake_case	)




				def    a							( self				,       snake_case				,       snake_case	):
											return self._query_range(self.root				,       snake_case				,       snake_case	)




				def    a							( self				,       snake_case				,       snake_case	):
											if start == end:
																		return SegmentTreeNode(snake_case				,       snake_case				,       self.collection[start]	)
											snake_case_          =   (start + end) // 2
											snake_case_          =   self._build_tree(snake_case				,       snake_case	)
											snake_case_          =   self._build_tree(mid + 1				,       snake_case	)
											return SegmentTreeNode(snake_case				,       snake_case				,       self.fn(left.val				,       right.val	)				,       snake_case				,       snake_case	)




				def    a							( self				,       snake_case				,       snake_case				,       snake_case	):
											if node.start == i and node.end == i:
																		snake_case_          =   val
																		return
											if i <= node.mid:
																		self._update_tree(node.left				,       snake_case				,       snake_case	)
											else:
																		self._update_tree(node.right				,       snake_case				,       snake_case	)
											snake_case_          =   self.fn(node.left.val				,       node.right.val	)




				def    a							( self				,       snake_case				,       snake_case				,       snake_case	):
											if node.start == i and node.end == j:
																		return node.val

											if i <= node.mid:
																		if j <= node.mid:
																									# range in left child tree
																									return self._query_range(node.left				,       snake_case				,       snake_case	)
																		else:
																									# range in left child tree and right child tree
																									return self.fn(
																									    self._query_range(node.left				,       snake_case				,       node.mid	)				,       self._query_range(node.right				,       node.mid + 1				,       snake_case	)				,       )
											else:
																		# range in right child tree
																		return self._query_range(node.right				,       snake_case				,       snake_case	)




				def    a							( self	):
											if self.root is not None:
																		snake_case_          =   Queue()
																		queue.put(self.root	)
																		while not queue.empty():
																									snake_case_          =   queue.get()
																									yield node

																									if node.left is not None:
																																queue.put(node.left	)

																									if node.right is not None:
																																queue.put(node.right	)


if __name__ == "__main__":
					import operator

					for fn in [operator.add, max, min]:
										print("""*""" * 50)
										_UpperCAmelCase		:       str						    =	SegmentTree([2, 1, 5, 3, 4], fn)
										for node in arr.traverse():
															print(node)
										print()

										arr.update(1, 5)
										for node in arr.traverse():
															print(node)
										print()

										print(arr.query_range(3, 4))  # 7
										print(arr.query_range(2, 2))  # 5
										print(arr.query_range(1, 3))  # 13
										print()







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


_UpperCAmelCase		:       str						    =	logging.get_logger(__name__)

_UpperCAmelCase		:       int						    =	{
    """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 			lowercase    (	lowercase_      ):
				__SCREAMING_SNAKE_CASE :			int	      =      '''canine'''




				def __init__( self				,       snake_case=768				,       snake_case=12				,       snake_case=12				,       snake_case=3072				,       snake_case="gelu"				,       snake_case=0.1				,       snake_case=0.1				,       snake_case=1_6384				,       snake_case=16				,       snake_case=0.02				,       snake_case=1e-1_2				,       snake_case=0				,       snake_case=0xE000				,       snake_case=0xE001				,       snake_case=4				,       snake_case=4				,       snake_case=8				,       snake_case=1_6384				,       snake_case=128				,       **snake_case				,       ):
											super().__init__(pad_token_id=snake_case				,       bos_token_id=snake_case				,       eos_token_id=snake_case				,       **snake_case	)

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

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




