


'''simple docstring'''



from __future__ import annotations

import math


def 				lowerCamelCase__				(	A       :      int				,       A       :      int				,       A       :      bool				,       A       :      list[int]				,       A       :      float					):




						'''simple docstring'''






						if depth < 0:
												raise ValueError('''Depth cannot be less than 0'''					)

						if not scores:
												raise ValueError('''Scores cannot be empty'''					)

						if depth == height:
												return scores[node_index]

						return (
						    max(
						        minimax(depth + 1				,       node_index * 2				,       A				,       A				,       A					)				,       minimax(depth + 1				,       node_index * 2 + 1				,       A				,       A				,       A					)				,       )
						    if is_max
						    else min(
						        minimax(depth + 1				,       node_index * 2				,       A				,       A				,       A					)				,       minimax(depth + 1				,       node_index * 2 + 1				,       A				,       A				,       A					)				,       )
						)


def 				lowerCamelCase__				(	):




						'''simple docstring'''






						UpperCAmelCase					    =     [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
						UpperCAmelCase					    =     math.log(len(A					)				,       2					)
						print(f"""Optimal value : {minimax(0				,       0				,       A				,       A				,       A					)}"""					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()









'''simple docstring'''



import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
	import torch

if is_soundfile_availble():
	import soundfile as sf

if is_vision_available():
	from PIL import Image


def 				lowerCamelCase__				(	A       :      str=""					):




						'''simple docstring'''






						UpperCAmelCase					    =     tempfile.mkdtemp()
						return os.path.join(A				,       str(uuid.uuida()					) + suffix					)






@require_soundfile
@require_torch
class 	UpperCamelCase__(       unittest.TestCase	):




				def 					a__(		self      :			int				)->					int:

										"""simple docstring"""




										UpperCAmelCase					    =     torch.rand(12				,   dtype=torch.floataa				) - 0.5
										UpperCAmelCase					    =     AgentAudio(lowerCAmelCase				)
										UpperCAmelCase					    =     str(agent_type.to_string()				)

										# Ensure that the tensor and the agent_type's tensor are the same
										self.assertTrue(torch.allclose(lowerCAmelCase				,   agent_type.to_raw()				,   atol=1E-4				)				)

										del agent_type

										# Ensure the path remains even after the object deletion
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)

										# Ensure that the file contains the same value as the original tensor
										UpperCAmelCase    ,    UpperCAmelCase					    =     sf.read(lowerCAmelCase				)
										self.assertTrue(torch.allclose(lowerCAmelCase				,   torch.tensor(lowerCAmelCase				)				,   atol=1E-4				)				)





				def 					a__(		self      :			Union[str, Any]				)->					Optional[Any]:

										"""simple docstring"""




										UpperCAmelCase					    =     torch.rand(12				,   dtype=torch.floataa				) - 0.5
										UpperCAmelCase					    =     get_new_path(suffix='''.wav'''				)
										sf.write(lowerCAmelCase				,   lowerCAmelCase				,   16000				)

										UpperCAmelCase					    =     AgentAudio(lowerCAmelCase				)

										self.assertTrue(torch.allclose(lowerCAmelCase				,   agent_type.to_raw()				,   atol=1E-4				)				)
										self.assertEqual(agent_type.to_string()				,   lowerCAmelCase				)







@require_vision
@require_torch
class 	UpperCamelCase__(       unittest.TestCase	):




				def 					a__(		self      :			List[Any]				)->					Any:

										"""simple docstring"""




										UpperCAmelCase					    =     torch.randint(0				,   256				,   (64, 64, 3)				)
										UpperCAmelCase					    =     AgentImage(lowerCAmelCase				)
										UpperCAmelCase					    =     str(agent_type.to_string()				)

										# Ensure that the tensor and the agent_type's tensor are the same
										self.assertTrue(torch.allclose(lowerCAmelCase				,   agent_type._tensor				,   atol=1E-4				)				)

										self.assertIsInstance(agent_type.to_raw()				,   Image.Image				)

										# Ensure the path remains even after the object deletion
										del agent_type
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)




				def 					a__(		self      :			List[Any]				)->					List[Any]:

										"""simple docstring"""




										UpperCAmelCase					    =     Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
										UpperCAmelCase					    =     Image.open(lowerCAmelCase				)
										UpperCAmelCase					    =     AgentImage(lowerCAmelCase				)

										self.assertTrue(path.samefile(agent_type.to_string()				)				)
										self.assertTrue(image == agent_type.to_raw()				)

										# Ensure the path remains even after the object deletion
										del agent_type
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)





				def 					a__(		self      :			Optional[Any]				)->					List[str]:

										"""simple docstring"""




										UpperCAmelCase					    =     Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
										UpperCAmelCase					    =     Image.open(lowerCAmelCase				)
										UpperCAmelCase					    =     AgentImage(lowerCAmelCase				)

										self.assertFalse(path.samefile(agent_type.to_string()				)				)
										self.assertTrue(image == agent_type.to_raw()				)

										# Ensure the path remains even after the object deletion
										del agent_type
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)







class 	UpperCamelCase__(       unittest.TestCase	):




				def 					a__(		self      :			int				)->					Any:

										"""simple docstring"""




										UpperCAmelCase					    =     '''Hey!'''
										UpperCAmelCase					    =     AgentText(lowerCAmelCase				)

										self.assertEqual(lowerCAmelCase				,   agent_type.to_string()				)
										self.assertEqual(lowerCAmelCase				,   agent_type.to_raw()				)
										self.assertEqual(lowerCAmelCase				,   lowerCAmelCase				)





