


'''simple docstring'''






from __future__ import annotations

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

__A   :    str											= TypeVar("T")






class   __snake_case			(  Generic[T]):







    """simple docstring"""



    def __init__(  self       :    Tuple       ,		lowerCamelCase       :    list[T]       ,		lowerCamelCase       :    Callable[[T, T], T]						)  ->    None:
      lowerCAmelCase_     : Any | T     =  None

      lowerCAmelCase_     : int     =  len(lowerCamelCase						)
      lowerCAmelCase_     : list[T]     =  [any_type for _ in range(self.N						)] + arr
      lowerCAmelCase_     : int     =  fnc
      self.build()

    def __lowercase  (  self       :    List[str]						)  ->    None:
      for p in range(self.N - 1       ,		0       ,		-1						):
        lowerCAmelCase_     : List[Any]     =  self.fn(self.st[p * 2]       ,		self.st[p * 2 + 1]						)

    def __lowercase  (  self       :    int       ,		lowerCamelCase       :    int       ,		lowerCamelCase       :    T						)  ->    None:
      p += self.N
      lowerCAmelCase_     : Any     =  v
      while p > 1:
        lowerCAmelCase_     : Optional[Any]     =  p // 2
        lowerCAmelCase_     : Optional[Any]     =  self.fn(self.st[p * 2]       ,		self.st[p * 2 + 1]						)





    def __lowercase  (  self       :    List[str]       ,		lowerCamelCase       :    int       ,		lowerCamelCase       :    int						)  ->    T | None:  # noqa: E741
      lowerCAmelCase_,				lowerCAmelCase_     : Dict     =  l + self.N, r + self.N

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


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

  __A   :    List[Any]											= [1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

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

  __A   :    List[Any]											= SegmentTree(test_array, min)
  __A   :    Dict											= SegmentTree(test_array, max)
  __A   :    Any											= SegmentTree(test_array, lambda a, b: a + b)







  def 							UpperCamelCase_     (       ):
    '''simple docstring'''





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

  test_all_segments()

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







'''simple docstring'''






from typing import Union

import fire
import torch
from tqdm import tqdm







def 							UpperCamelCase_     (       A__   :  str				,       A__   :  str = "cpu"				,       A__   :  Union[str, None] = None   ):
  '''simple docstring'''





  lowerCAmelCase_     : Dict     =  torch.load(A__				,       map_location=A__   )
  for k, v in tqdm(state_dict.items()   ):
    if not isinstance(A__				,       torch.Tensor   ):
      raise TypeError("""FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"""   )
    lowerCAmelCase_     : List[str]     =  v.half()
  if save_path is None:  # overwrite src_path
    lowerCAmelCase_     : List[str]     =  src_path
  torch.save(A__				,       A__   )


if __name__ == "__main__":
  fire.Fire(convert)



