






from __future__ import annotations

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

lowerCamelCase__							=     TypeVar("""T""")
class 			snake_case__   (							Generic[T]):

       '''simple docstring'''



       def __init__(							self			,						a__			,						a__    ) ->      None:






            '''simple docstring'''





            __snake_case			:Tuple          =						None

            __snake_case			:Union[str, Any]          =						len(A__    )
            __snake_case			:Optional[Any]          =						[any_type for _ in range(self.N    )] + arr
            __snake_case			:List[Any]          =						fnc
            self.build()



       def 					__lowercase						(							self    ) ->      None:






            '''simple docstring'''





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



       def 					__lowercase						(							self			,						a__			,						a__    ) ->      None:






            '''simple docstring'''





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



       def 					__lowercase						(							self			,						a__			,						a__    ) ->      T | None:  # noqa: E741






            '''simple docstring'''





            __snake_case       , __snake_case			:Any          =						l + self.N, r + self.N

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


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

     lowerCamelCase__							=     [1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

     lowerCamelCase__							=     {
         0: 7,
         1: 2,
         2: 6,
         3: -14,
         4: 5,
         5: 4,
         6: 7,
         7: -10,
         8: 9,
         9: 10,
         10: 12,
         11: 1,
     }

     lowerCamelCase__							=     SegmentTree(test_array, min)
     lowerCamelCase__							=     SegmentTree(test_array, max)
     lowerCamelCase__							=     SegmentTree(test_array, lambda a, b: a + b)






     def   UpperCamelCase  (       ):




          '''simple docstring'''






          for i in range(len(SCREAMING_SNAKE_CASE_  )  ):
               for j in range(SCREAMING_SNAKE_CASE_	,len(SCREAMING_SNAKE_CASE_  )  ):
                    __snake_case			:Tuple          =						reduce(SCREAMING_SNAKE_CASE_	,test_array[i : j + 1]  )
                    __snake_case			:Tuple          =						reduce(SCREAMING_SNAKE_CASE_	,test_array[i : j + 1]  )
                    __snake_case			:Dict          =						reduce(lambda snake_case__	,snake_case__  : a + b	,test_array[i : j + 1]  )
                    assert min_range == min_segment_tree.query(SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_  )
                    assert max_range == max_segment_tree.query(SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_  )
                    assert sum_range == sum_segment_tree.query(SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_  )

     test_all_segments()

     for index, value in test_updates.items():
          lowerCamelCase__							=     value
          min_segment_tree.update(index, value)
          max_segment_tree.update(index, value)
          sum_segment_tree.update(index, value)
          test_all_segments()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase__							=     {
    """configuration_canine""": ["""CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CanineConfig"""],
    """tokenization_canine""": ["""CanineTokenizer"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase__							=     [
         """CANINE_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """CanineForMultipleChoice""",
         """CanineForQuestionAnswering""",
         """CanineForSequenceClassification""",
         """CanineForTokenClassification""",
         """CanineLayer""",
         """CanineModel""",
         """CaninePreTrainedModel""",
         """load_tf_weights_in_canine""",
     ]


if TYPE_CHECKING:
     from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
     from .tokenization_canine import CanineTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_canine import (
              CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
              CanineForMultipleChoice,
              CanineForQuestionAnswering,
              CanineForSequenceClassification,
              CanineForTokenClassification,
              CanineLayer,
              CanineModel,
              CaninePreTrainedModel,
              load_tf_weights_in_canine,
          )


else:
     import sys

     lowerCamelCase__							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


