






"""simple docstring"""



import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar






class 							__SCREAMING_SNAKE_CASE						(				unittest.TestCase		):


							def 						_UpperCamelCase       (			self      :						Union[str, Any]							):
													'''simple docstring'''





													A__						:  Tuple		  =  logging.get_logger()

													# the current default level is logging.WARNING
													A__						:  Union[str, Any]		  =  logging.get_verbosity()

													logging.set_verbosity_error()
													self.assertEqual(logger.getEffectiveLevel()			,    logging.get_verbosity()							)

													logging.set_verbosity_warning()
													self.assertEqual(logger.getEffectiveLevel()			,    logging.get_verbosity()							)

													logging.set_verbosity_info()
													self.assertEqual(logger.getEffectiveLevel()			,    logging.get_verbosity()							)

													logging.set_verbosity_debug()
													self.assertEqual(logger.getEffectiveLevel()			,    logging.get_verbosity()							)

													# restore to the original level
													logging.set_verbosity(snake_case							)


							def 						_UpperCamelCase       (			self      :						Optional[int]							):
													'''simple docstring'''





													A__						:  Optional[int]		  =  logging.get_verbosity()

													A__						:  Dict		  =  logging.get_logger("""transformers.models.bart.tokenization_bart"""							)
													A__						:  List[str]		  =  """Testing 1, 2, 3"""

													# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
													if level_origin <= logging.WARNING:
																			with CaptureLogger(snake_case							) as cl:
																									logger.warning(snake_case							)
																			self.assertEqual(cl.out			,    msg + """\n"""							)

													# this is setting the level for all of `transformers.*` loggers
													logging.set_verbosity_error()

													# should not be able to log warnings
													with CaptureLogger(snake_case							) as cl:
																			logger.warning(snake_case							)
													self.assertEqual(cl.out			,    """"""							)

													# should be able to log warnings again
													logging.set_verbosity_warning()
													with CaptureLogger(snake_case							) as cl:
																			logger.warning(snake_case							)
													self.assertEqual(cl.out			,    msg + """\n"""							)

													# restore to the original level
													logging.set_verbosity(snake_case							)


							@mockenv(TRANSFORMERS_VERBOSITY="""error"""							)
							def 						_UpperCamelCase       (			self      :						Any							):
													'''simple docstring'''





													transformers.utils.logging._reset_library_root_logger()
													# this action activates the env var
													A__						:  Union[str, Any]		  =  logging.get_logger("""transformers.models.bart.tokenization_bart"""							)

													A__						:  List[str]		  =  os.getenv("""TRANSFORMERS_VERBOSITY"""			,    snake_case							)
													A__						:  Dict		  =  logging.log_levels[env_level_str]

													A__						:  Dict		  =  logging.get_verbosity()
													self.assertEqual(
													    snake_case			,    snake_case			,    F'TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'			,    )

													# restore to the original level
													A__						:  List[Any]		  =  """"""
													transformers.utils.logging._reset_library_root_logger()


							@mockenv(TRANSFORMERS_VERBOSITY="""super-error"""							)
							def 						_UpperCamelCase       (			self      :						List[str]							):
													'''simple docstring'''





													transformers.utils.logging._reset_library_root_logger()
													A__						:  Optional[int]		  =  logging.logging.getLogger()
													with CaptureLogger(snake_case							) as cl:
																			# this action activates the env var
																			logging.get_logger("""transformers.models.bart.tokenization_bart"""							)
													self.assertIn("""Unknown option TRANSFORMERS_VERBOSITY=super-error"""			,    cl.out							)

													# no need to restore as nothing was changed


							def 						_UpperCamelCase       (			self      :						List[Any]							):
													'''simple docstring'''





													transformers.utils.logging._reset_library_root_logger()

													A__						:  List[Any]		  =  logging.get_logger("""transformers.models.bart.tokenization_bart"""							)
													A__						:  str		  =  """Testing 1, 2, 3"""

													with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="""1"""							):
																			# nothing should be logged as env var disables this method
																			with CaptureLogger(snake_case							) as cl:
																									logger.warning_advice(snake_case							)
																			self.assertEqual(cl.out			,    """"""							)

													with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""""""							):
																			# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
																			with CaptureLogger(snake_case							) as cl:
																									logger.warning_advice(snake_case							)
																			self.assertEqual(cl.out			,    msg + """\n"""							)




def      _lowerCAmelCase		(							)		->List[str]:
						disable_progress_bar()
						assert are_progress_bars_disabled()

						enable_progress_bar()
						assert not are_progress_bars_disabled()














"""simple docstring"""



from __future__ import annotations

A_    =							[]




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__      ):
																		A__						:  Tuple		  =  1
																		solve(UpperCAmelCase__,						row + 1      )
																		A__						:  Optional[int]		  =  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"))
A_    =							8
A_    =							[[0 for i in range(n)] for j in range(n)]
solve(board, 0)

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






