'''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 						__A							(     UpperCAmelCase=""					)     ->			Optional[Any]:




						'''simple docstring'''
						_UpperCamelCase			:			Dict   			=						tempfile.mkdtemp()
						return os.path.join(SCREAMING_SNAKE_CASE_     ,str(uuid.uuida()					) + suffix					)




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







				'''simple docstring'''





				def  snake_case__				(						self					:						List[str]					)							->Tuple:


										'''simple docstring'''




										_UpperCamelCase			:			Union[str, Any]   			=						torch.rand(12       ,		dtype=torch.floataa					) - 0.5
										_UpperCamelCase			:			List[Any]   			=						AgentAudio(__lowercase					)
										_UpperCamelCase			:			Tuple   			=						str(agent_type.to_string()					)

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

										del agent_type

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

										# Ensure that the file contains the same value as the original tensor
										_UpperCamelCase			,       _UpperCamelCase			:			Optional[int]   			=						sf.read(__lowercase					)
										self.assertTrue(torch.allclose(__lowercase       ,		torch.tensor(__lowercase					)       ,		atol=1e-4					)					)







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


										'''simple docstring'''




										_UpperCamelCase			:			Optional[Any]   			=						torch.rand(12       ,		dtype=torch.floataa					) - 0.5
										_UpperCamelCase			:			Any   			=						get_new_path(suffix=".wav"					)
										sf.write(__lowercase       ,		__lowercase       ,		16_000					)

										_UpperCamelCase			:			List[str]   			=						AgentAudio(__lowercase					)

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





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







				'''simple docstring'''





				def  snake_case__				(						self					:						Optional[int]					)							->List[Any]:


										'''simple docstring'''




										_UpperCamelCase			:			Optional[int]   			=						torch.randint(0       ,		256       ,		(64, 64, 3)					)
										_UpperCamelCase			:			Union[str, Any]   			=						AgentImage(__lowercase					)
										_UpperCamelCase			:			Union[str, Any]   			=						str(agent_type.to_string()					)

										# Ensure that the tensor and the agent_type's tensor are the same
										self.assertTrue(torch.allclose(__lowercase       ,		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(__lowercase					)					)





				def  snake_case__				(						self					:						Dict					)							->Optional[Any]:


										'''simple docstring'''




										_UpperCamelCase			:			Optional[Any]   			=						Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"
										_UpperCamelCase			:			List[str]   			=						Image.open(__lowercase					)
										_UpperCamelCase			:			List[str]   			=						AgentImage(__lowercase					)

										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(__lowercase					)					)







				def  snake_case__				(						self					:						Optional[int]					)							->Optional[int]:


										'''simple docstring'''




										_UpperCamelCase			:			Optional[Any]   			=						Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"
										_UpperCamelCase			:			Dict   			=						Image.open(__lowercase					)
										_UpperCamelCase			:			Optional[Any]   			=						AgentImage(__lowercase					)

										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(__lowercase					)					)





class 		SCREAMING_SNAKE_CASE     (					unittest.TestCase	):







				'''simple docstring'''





				def  snake_case__				(						self					:						Union[str, Any]					)							->List[str]:


										'''simple docstring'''




										_UpperCamelCase			:			Any   			=						"Hey!"
										_UpperCamelCase			:			int   			=						AgentText(__lowercase					)

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



'''simple docstring'''





def 						__A							(     UpperCAmelCase					)     ->			List[Any]:




						'''simple docstring'''
						_UpperCamelCase			:			str   			=						[]
						_UpperCamelCase			:			Optional[Any]   			=						set({"(", "[", "{"}					)
						_UpperCamelCase			:			int   			=						set({")", "]", "}"}					)
						_UpperCamelCase			:			Dict   			=						{"{": "}", "[": "]", "(": ")"}

						for i in range(len(UpperCAmelCase					)					):
												if s[i] in open_brackets:
																		stack.append(s[i]					)

												elif s[i] in closed_brackets and (
												    len(UpperCAmelCase					) == 0 or (len(UpperCAmelCase					) > 0 and open_to_closed[stack.pop()] != s[i])
												):
																		return False

						return len(UpperCAmelCase					) == 0
def 						__A							(     )     ->			str:




						'''simple docstring'''
						_UpperCamelCase			:			Any   			=						input("Enter sequence of brackets: "					)
						if is_balanced(UpperCAmelCase					):
												print(UpperCAmelCase     ,"is balanced"					)
						else:
												print(UpperCAmelCase     ,"is not balanced"					)


if __name__ == "__main__":
			main()


