






from __future__ import annotations

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

snake_case    				=		TypeVar("""T""")


class  SCREAMING_SNAKE_CASE			(			Generic[T]					):
     '''simple docstring'''


     def __init__(				self       :	int					, UpperCAmelCase_       :	Union[str, Any]					, UpperCAmelCase_       :	int      ):
            SCREAMING_SNAKE_CASE       :      Any | T							=    None

            SCREAMING_SNAKE_CASE       :      int							=    len(lowercase__      )
            SCREAMING_SNAKE_CASE       :      list[T]							=    [any_type for _ in range(self.N      )] + arr
            SCREAMING_SNAKE_CASE       :      Optional[Any]							=    fnc
            self.build()


     def 				_A       (				self       :	Dict      ):





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


     def 				_A       (				self       :	int					, UpperCAmelCase_       :	List[str]					, UpperCAmelCase_       :	Optional[int]      ):
            p += self.N
            SCREAMING_SNAKE_CASE       :      int							=    v
            while p > 1:
                   SCREAMING_SNAKE_CASE       :      str							=    p // 2
                   SCREAMING_SNAKE_CASE       :      str							=    self.fn(self.st[p * 2]					, self.st[p * 2 + 1]      )






     def 				_A       (				self       :	str					, UpperCAmelCase_       :	str					, UpperCAmelCase_       :	List[Any]      ):  # noqa: E741
            SCREAMING_SNAKE_CASE       :      Optional[Any]							=    l + self.N, r + self.N

            SCREAMING_SNAKE_CASE       :      T | None							=    None
            while l <= r:
                   if l % 2 == 1:
                          SCREAMING_SNAKE_CASE       :      Any							=    self.st[l] if res is None else self.fn(lowercase__					, self.st[l]      )
                   if r % 2 == 0:
                          SCREAMING_SNAKE_CASE       :      List[str]							=    self.st[r] if res is None else self.fn(lowercase__					, self.st[r]      )
                   SCREAMING_SNAKE_CASE       :      Any							=    (l + 1) // 2, (r - 1) // 2
            return res


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

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

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

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


   def   lowerCamelCase__			(     ):

          """simple docstring"""






          for i in range(len(lowerCAmelCase_				)				):
                 for j in range(lowerCAmelCase_						,     len(lowerCAmelCase_				)				):
                        SCREAMING_SNAKE_CASE       :      List[str]							=    reduce(lowerCAmelCase_						,     test_array[i : j + 1]				)
                        SCREAMING_SNAKE_CASE       :      Optional[int]							=    reduce(lowerCAmelCase_						,     test_array[i : j + 1]				)
                        SCREAMING_SNAKE_CASE       :      Dict							=    reduce(lambda lowercase						,     lowercase				: a + b						,     test_array[i : j + 1]				)
                        assert min_range == min_segment_tree.query(lowerCAmelCase_						,     lowerCAmelCase_				)
                        assert max_range == max_segment_tree.query(lowerCAmelCase_						,     lowerCAmelCase_				)
                        assert sum_range == sum_segment_tree.query(lowerCAmelCase_						,     lowerCAmelCase_				)

   test_all_segments()

   for index, value in test_updates.items():
      snake_case    				=		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_torch_available


snake_case    				=		{
    """configuration_trajectory_transformer""": [
        """TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """TrajectoryTransformerConfig""",
    ],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   snake_case    				=		[
       """TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """TrajectoryTransformerModel""",
       """TrajectoryTransformerPreTrainedModel""",
       """load_tf_weights_in_trajectory_transformer""",
   ]


if TYPE_CHECKING:
   from .configuration_trajectory_transformer import (
       TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       TrajectoryTransformerConfig,
   )

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_trajectory_transformer import (
          TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          TrajectoryTransformerModel,
          TrajectoryTransformerPreTrainedModel,
          load_tf_weights_in_trajectory_transformer,
      )


else:
   import sys

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






