'''simple docstring'''




from __future__ import annotations

_lowercase						: Dict						=						[]




def 							lowerCamelCase	(      UpperCAmelCase__       :					list[list[int]]      ,      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					int )			->      bool:
							for i in range(len(UpperCAmelCase__ ) ):
														if board[row][i] == 1:
																					return False
							for i in range(len(UpperCAmelCase__ ) ):
														if board[i][column] == 1:
																					return False
							for i, j in zip(range(UpperCAmelCase__      ,      -1      ,      -1 )      ,      range(UpperCAmelCase__      ,      -1      ,      -1 ) ):
														if board[i][j] == 1:
																					return False
							for i, j in zip(range(UpperCAmelCase__      ,      -1      ,      -1 )      ,      range(UpperCAmelCase__      ,      len(UpperCAmelCase__ ) ) ):
														if board[i][j] == 1:
																					return False
							return True




def 							lowerCamelCase	(      UpperCAmelCase__       :					list[list[int]]      ,      UpperCAmelCase__       :					int )			->      bool:
							if row >= len(UpperCAmelCase__ ):
														solution.append(UpperCAmelCase__ )
														printboard(UpperCAmelCase__ )
														print()
														return True
							for i in range(len(UpperCAmelCase__ ) ):
														if is_safe(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__ ):
																					lowercase_					:			Any										=       1
																					solve(UpperCAmelCase__      ,      row + 1 )
																					lowercase_					:			str										=       0
							return False




def 							lowerCamelCase	(      UpperCAmelCase__       :					list[list[int]] )			->      None:
							for i in range(len(UpperCAmelCase__ ) ):
														for j in range(len(UpperCAmelCase__ ) ):
																					if board[i][j] == 1:
																												print("""Q"""      ,      end=""" """ )
																					else:
																												print("""."""      ,      end=""" """ )
														print()


# n=int(input("The no. of queens"))
_lowercase						: Dict						=						8
_lowercase						: Optional[int]						=						[[0 for i in range(n)] for j in range(n)]
solve(board, 0)

print("The total no. of solutions are :", len(solution))






'''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     __magic_name__						(    unittest.TestCase,     _UpperCAmelCase):







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										lowercase_					:			List[str]										=       load_tool("""text-to-speech"""    )
										self.tool.setup()







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]    ):
										# SpeechT5 isn't deterministic
										torch.manual_seed(0    )
										lowercase_					:			List[str]										=       self.tool("""hey"""    )
										lowercase_					:			Optional[int]										=       result.to_raw()
										self.assertTrue(
										    torch.allclose(
										        resulting_tensor[:3]				,			torch.tensor([-0.0_00_59_66_66_88_32_11_58_29, -0.0_00_36_57_64_01_90_79_50_64, -0.00_01_34_39_50_27_99_88_34_85]    )				,			)    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]    ):
										# SpeechT5 isn't deterministic
										torch.manual_seed(0    )
										lowercase_					:			Union[str, Any]										=       self.tool("""hey"""    )
										lowercase_					:			int										=       result.to_raw()
										self.assertTrue(
										    torch.allclose(
										        resulting_tensor[:3]				,			torch.tensor([-0.0_00_59_66_66_88_32_11_58_29, -0.0_00_36_57_64_01_90_79_50_64, -0.00_01_34_39_50_27_99_88_34_85]    )				,			)    )





