


from __future__ import annotations

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

__lowerCamelCase        =     TypeVar('''T''')


class   a__	(						Generic[T]    ):

       def __init__(   self      :     Optional[Any]      ,							lowerCamelCase_      :     list[T]      ,							lowerCamelCase_      :     Callable[[T, T], T]    ):
            a_    :     Any | T										=    None

            a_    :     int										=    len(lowerCamelCase_    )
            a_    :     list[T]										=    [any_type for _ in range(self.N    )] + arr
            a_    :     List[str]										=    fnc
            self.build()

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

       def 						UpperCAmelCase(   self      :     Optional[Any]      ,							lowerCamelCase_      :     int      ,							lowerCamelCase_      :     T    ):
            p += self.N
            a_    :     Optional[int]										=    v
            while p > 1:
                 a_    :     int										=    p // 2
                 a_    :     Dict										=    self.fn(self.st[p * 2]      ,							self.st[p * 2 + 1]    )

       def 						UpperCAmelCase(   self      :     Dict      ,							lowerCamelCase_      :     int      ,							lowerCamelCase_      :     int    ):  # noqa: E741
            a_			,			a_    :     List[Any]										=    l + self.N, r + self.N

            a_    :     T | None										=    None
            while l <= r:
                 if l % 2 == 1:
                      a_    :     Union[str, Any]										=    self.st[l] if res is None else self.fn(lowerCamelCase_      ,							self.st[l]    )
                 if r % 2 == 0:
                      a_    :     List[Any]										=    self.st[r] if res is None else self.fn(lowerCamelCase_      ,							self.st[r]    )
                 a_			,			a_    :     Any										=    (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  _a			(						):
            for i in range(len(__UpperCamelCase ) ):
                 for j in range(__UpperCamelCase  ,  len(__UpperCamelCase ) ):
                      a_    :     Dict										=    reduce(__UpperCamelCase  ,  test_array[i : j + 1] )
                      a_    :     Dict										=    reduce(__UpperCamelCase  ,  test_array[i : j + 1] )
                      a_    :     str										=    reduce(lambda __UpperCamelCase  ,  __UpperCamelCase : a + b  ,  test_array[i : j + 1] )
                      assert min_range == min_segment_tree.query(__UpperCamelCase  ,  __UpperCamelCase )
                      assert max_range == max_segment_tree.query(__UpperCamelCase  ,  __UpperCamelCase )
                      assert sum_range == sum_segment_tree.query(__UpperCamelCase  ,  __UpperCamelCase )

       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_altclip''': [
        '''ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AltCLIPConfig''',
        '''AltCLIPTextConfig''',
        '''AltCLIPVisionConfig''',
    ],
    '''processing_altclip''': ['''AltCLIPProcessor'''],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase        =     [
           '''ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''AltCLIPPreTrainedModel''',
           '''AltCLIPModel''',
           '''AltCLIPTextModel''',
           '''AltCLIPVisionModel''',
       ]


if TYPE_CHECKING:
       from .configuration_altclip import (
           ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
           AltCLIPConfig,
           AltCLIPTextConfig,
           AltCLIPVisionConfig,
       )
       from .processing_altclip import AltCLIPProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_altclip import (
                  ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  AltCLIPModel,
                  AltCLIPPreTrainedModel,
                  AltCLIPTextModel,
                  AltCLIPVisionModel,
              )


else:
       import sys

       __lowerCamelCase        =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



