

class 					a__						(					snake_case			):
			"""simple docstring"""







			pass

class 					a__						(					snake_case			):
			"""simple docstring"""







			pass

class 					a__						:
			"""simple docstring"""







			def __init__(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							A__        =			[
							    [],
							    [],
							    [],
							]


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase       )  ->						None:
							'''simple docstring'''






							try:
											if len(self.queues[priority]       ) >= 100:
															raise OverflowError("Maximum queue size is 100"       )
											self.queues[priority].append(lowercase       )
							except IndexError:
											raise ValueError("Valid priorities are 0, 1, and 2"       )


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






							for queue in self.queues:
											if queue:
															return queue.pop(0       )
							raise UnderFlowError("All queues are empty"       )


			def __str__(    self       )  ->						str:
							'''simple docstring'''






							return "\n".join(F'Priority {i}: {q}' for i, q in enumerate(self.queues       )       )

class 					a__						:
			"""simple docstring"""







			def __init__(    self       )  ->						Optional[int]:
							'''simple docstring'''






							A__        =			[]


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						None:
							'''simple docstring'''






							if len(self.queue       ) == 100:
											raise OverFlowError("Maximum queue size is 100"       )
							self.queue.append(lowercase       )


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






							if not self.queue:
											raise UnderFlowError("The queue is empty"       )
							else:
											A__        =			min(self.queue       )
											self.queue.remove(lowercase       )
											return data


			def __str__(    self       )  ->						str:
							'''simple docstring'''






							return str(self.queue       )



def 					lowerCAmelCase__							(	)			->      str:




				'''simple docstring'''





				A__        =			FixedPriorityQueue()
				fpq.enqueue(0	,       1_0      )
				fpq.enqueue(1	,       7_0      )
				fpq.enqueue(0	,       1_0_0      )
				fpq.enqueue(2	,       1      )
				fpq.enqueue(2	,       5      )
				fpq.enqueue(1	,       7      )
				fpq.enqueue(2	,       4      )
				fpq.enqueue(1	,       6_4      )
				fpq.enqueue(0	,       1_2_8      )
				print(SCREAMING_SNAKE_CASE_      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(SCREAMING_SNAKE_CASE_      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )
				print(fpq.dequeue()      )



def 					lowerCAmelCase__							(	)			->      Any:




				'''simple docstring'''





				A__        =			ElementPriorityQueue()
				epq.enqueue(1_0      )
				epq.enqueue(7_0      )
				epq.enqueue(1_0_0      )
				epq.enqueue(1      )
				epq.enqueue(5      )
				epq.enqueue(7      )
				epq.enqueue(4      )
				epq.enqueue(6_4      )
				epq.enqueue(1_2_8      )
				print(SCREAMING_SNAKE_CASE_      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(SCREAMING_SNAKE_CASE_      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )
				print(epq.dequeue()      )


if __name__ == "__main__":
	fixed_priority_queue()
	element_priority_queue()




from typing import Union

import fire
import torch
from tqdm import tqdm



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




				'''simple docstring'''





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


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

