





"""simple docstring"""
import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
		import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin






@require_torch
class 					_UpperCAmelCase   (	unittest.TestCase     ,							lowercase_ ):


					def 	lowerCamelCase       (					self			:Any		):
												A		=  load_tool("text-to-speech"		)
												self.tool.setup()


					def 	lowerCamelCase       (					self			:str		):
												# SpeechT5 isn't deterministic
												torch.manual_seed(0		)
												A		=  self.tool("hey"		)
												A		=  result.to_raw()
												self.assertTrue(
												    torch.allclose(
												        resulting_tensor[:3]     ,       torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485]		)     ,       )		)


					def 	lowerCamelCase       (					self			:List[str]		):
												# SpeechT5 isn't deterministic
												torch.manual_seed(0		)
												A		=  self.tool("hey"		)
												A		=  result.to_raw()
												self.assertTrue(
												    torch.allclose(
												        resulting_tensor[:3]     ,       torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485]		)     ,       )		)









"""simple docstring"""
# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.






def 					A__				(			UpperCamelCase       ):
							A		=  [False] * len(UpperCamelCase       )
							A		=  [-1] * len(UpperCamelCase       )

							def dfs(UpperCamelCase					,  UpperCamelCase       ):
														A		=  True
														A		=  c
														for u in graph[v]:
																					if not visited[u]:
																												dfs(UpperCamelCase					,  1 - c       )

							for i in range(len(UpperCamelCase       )       ):
														if not visited[i]:
																					dfs(UpperCamelCase					,  0       )

							for i in range(len(UpperCamelCase       )       ):
														for j in graph[i]:
																					if color[i] == color[j]:
																												return False

							return True


# Adjacency list of graph
_snake_case     :		str       						= {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}
print(check_bipartite_dfs(graph))


