



"""simple docstring"""







from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

lowercase__		:				Dict          =	TypeVar("""KEY""")
lowercase__		:				Dict          =	TypeVar("""VAL""")







@dataclass(frozen=lowercase_,					slots=lowercase_  )
class       UpperCamelCase__   (	Generic[KEY, VAL]  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     42
      _SCREAMING_SNAKE_CASE  				=     42







class       UpperCamelCase__   (	_Item  ):




      """simple docstring"""




      def __init__(      self				:      List[str]       ):
        super().__init__(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       )





      def __bool__(      self				:      Dict       ):
        return False




lowercase__		:				str          =	_DeletedItem()







class       UpperCamelCase__   (	MutableMapping[KEY, VAL]  ):




      """simple docstring"""




      def __init__(      self				:      Any    ,			SCREAMING_SNAKE_CASE_				:      int = 8    ,			SCREAMING_SNAKE_CASE_				:      float = 0.75       ):
        lowerCAmelCase_   :				Optional[Any]								= initial_block_size
        lowerCAmelCase_   :				list[_Item | None]								= [None] * initial_block_size
        assert 0.0 < capacity_factor < 1.0
        lowerCAmelCase_   :				Union[str, Any]								= capacity_factor
        lowerCAmelCase_   :				Tuple								= 0



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      KEY       ):
        return hash(SCREAMING_SNAKE_CASE_       ) % len(self._buckets       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      str    ,			SCREAMING_SNAKE_CASE_				:      int       ):
        return (ind + 1) % len(self._buckets       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      int    ,			SCREAMING_SNAKE_CASE_				:      int    ,			SCREAMING_SNAKE_CASE_				:      KEY    ,			SCREAMING_SNAKE_CASE_				:      VAL       ):
        lowerCAmelCase_   :				Dict								= self._buckets[ind]
        if not stored:
          lowerCAmelCase_   :				List[Any]								= _Item(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       )
          self._len += 1
          return True
        elif stored.key == key:
          lowerCAmelCase_   :				List[str]								= _Item(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       )
          return True
        else:
          return False



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any       ):
        lowerCAmelCase_   :				int								= len(self._buckets       ) * self._capacity_factor
        return len(self       ) >= int(SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]       ):
        if len(self._buckets       ) <= self._initial_block_size:
          return False
        lowerCAmelCase_   :				str								= len(self._buckets       ) * self._capacity_factor / 2
        return len(self       ) < limit



      def      SCREAMING_SNAKE_CASE__ (      self				:      str    ,			SCREAMING_SNAKE_CASE_				:      int       ):
        lowerCAmelCase_   :				int								= self._buckets
        lowerCAmelCase_   :				int								= [None] * new_size
        lowerCAmelCase_   :				Optional[Any]								= 0
        for item in old_buckets:
          if item:
            self._add_item(item.key    ,			item.val       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]       ):
        self._resize(len(self._buckets       ) * 2       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]       ):
        self._resize(len(self._buckets       ) // 2       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      KEY       ):
        lowerCAmelCase_   :				Union[str, Any]								= self._get_bucket_index(SCREAMING_SNAKE_CASE_       )
        for _ in range(len(self._buckets       )       ):
          yield ind
          lowerCAmelCase_   :				Dict								= self._get_next_ind(SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]    ,			SCREAMING_SNAKE_CASE_				:      KEY    ,			SCREAMING_SNAKE_CASE_				:      VAL       ):
        for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE_       ):
          if self._try_set(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ):
            break



      def __setitem__(      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      KEY    ,			SCREAMING_SNAKE_CASE_				:      VAL       ):
        if self._is_full():
          self._size_up()

        self._add_item(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       )



      def __delitem__(      self				:      Optional[int]    ,			SCREAMING_SNAKE_CASE_				:      KEY       ):
        for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE_       ):
          lowerCAmelCase_   :				Dict								= self._buckets[ind]
          if item is None:
            raise KeyError(SCREAMING_SNAKE_CASE_       )
          if item is _deleted:
            continue
          if item.key == key:
            lowerCAmelCase_   :				Optional[Any]								= _deleted
            self._len -= 1
            break
        if self._is_sparse():
          self._size_down()



      def __getitem__(      self				:      Dict    ,			SCREAMING_SNAKE_CASE_				:      KEY       ):
        for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE_       ):
          lowerCAmelCase_   :				int								= self._buckets[ind]
          if item is None:
            break
          if item is _deleted:
            continue
          if item.key == key:
            return item.val
        raise KeyError(SCREAMING_SNAKE_CASE_       )



      def __len__(      self				:      Optional[int]       ):
        return self._len



      def __iter__(      self				:      Union[str, Any]       ):
        yield from (item.key for item in self._buckets if item)





      def __repr__(      self				:      Any       ):
        lowerCAmelCase_   :				Optional[Any]								= ' ,'.join(
            F"{item.key}: {item.val}" for item in self._buckets if item       )
        return F"HashMap({val_string})"










"""simple docstring"""







from typing import Union

import fire
import torch
from tqdm import tqdm

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				str = "cpu"    ,   lowerCAmelCase__      :				Union[str, None] = None						)						->   None:

  """simple docstring"""




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


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





