



"""simple docstring"""


from __future__ import annotations

__A   :							Optional[Any]										=   []







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						list[list[int]]					,     _SCREAMING_SNAKE_CASE   :						int					,     _SCREAMING_SNAKE_CASE   :						int				):






				'''simple docstring'''



				for i in range(len(_SCREAMING_SNAKE_CASE				)				):
								if board[row][i] == 1:
												return False
				for i in range(len(_SCREAMING_SNAKE_CASE				)				):
								if board[i][column] == 1:
												return False
				for i, j in zip(range(_SCREAMING_SNAKE_CASE					,     -1					,     -1				)					,     range(_SCREAMING_SNAKE_CASE					,     -1					,     -1				)				):
								if board[i][j] == 1:
												return False
				for i, j in zip(range(_SCREAMING_SNAKE_CASE					,     -1					,     -1				)					,     range(_SCREAMING_SNAKE_CASE					,     len(_SCREAMING_SNAKE_CASE				)				)				):
								if board[i][j] == 1:
												return False
				return True







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						list[list[int]]					,     _SCREAMING_SNAKE_CASE   :						int				):






				'''simple docstring'''



				if row >= len(_SCREAMING_SNAKE_CASE				):
								solution.append(_SCREAMING_SNAKE_CASE				)
								printboard(_SCREAMING_SNAKE_CASE				)
								print()
								return True
				for i in range(len(_SCREAMING_SNAKE_CASE				)				):
								if is_safe(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE				):
												_UpperCAmelCase					=    1
												solve(_SCREAMING_SNAKE_CASE					,     row + 1				)
												_UpperCAmelCase					=    0
				return False







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						list[list[int]]				):






				'''simple docstring'''



				for i in range(len(_SCREAMING_SNAKE_CASE				)				):
								for j in range(len(_SCREAMING_SNAKE_CASE				)				):
												if board[i][j] == 1:
																print('''Q'''					,     end=''' '''				)
												else:
																print('''.'''					,     end=''' '''				)
								print()


# n=int(input("The no. of queens"))
__A   :							Optional[Any]										=   8
__A   :							Dict										=   [[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 ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

__A   :							str										=   [
    "cross_validation.py",
    "gradient_accumulation.py",
    "local_sgd.py",
    "multi_process_metrics.py",
    "memory.py",
    "automatic_gradient_accumulation.py",
    "fsdp_with_peak_mem_tracking.py",
    "deepspeed_with_config_support.py",
    "megatron_lm_gpt_pretraining.py",
]
class 			_a (					unittest.TestCase):
			"""simple docstring"""



			def  lowercase__						(		self     :    Union[str, Any]				,   __UpperCamelCase     :    str				,   __UpperCamelCase     :    bool				,   __UpperCamelCase     :    str = None				,   __UpperCamelCase     :    list = None   )->int:
							_UpperCAmelCase					=    None
							_UpperCAmelCase					=    os.path.abspath(os.path.join('''examples'''				,   '''by_feature'''   )   )
							_UpperCAmelCase					=    os.path.abspath('''examples'''   )
							for item in os.listdir(__UpperCamelCase   ):
											if item not in EXCLUDE_EXAMPLES:
															_UpperCAmelCase					=    os.path.join(__UpperCamelCase				,   __UpperCamelCase   )
															if os.path.isfile(__UpperCamelCase   ) and ".py" in item_path:
																			with self.subTest(
																			    tested_script=__UpperCamelCase				,   feature_script=__UpperCamelCase				,   tested_section='''main()''' if parser_only else '''training_function()'''				,   ):
																							_UpperCAmelCase					=    compare_against_test(
																							    os.path.join(__UpperCamelCase				,   __UpperCamelCase   )				,   __UpperCamelCase				,   __UpperCamelCase				,   __UpperCamelCase   )
																							_UpperCAmelCase					=    '''\n'''.join(__UpperCamelCase   )
																							if special_strings is not None:
																											for string in special_strings:
																															_UpperCAmelCase					=    diff.replace(__UpperCamelCase				,   ''''''   )
																							self.assertEqual(__UpperCamelCase				,   ''''''   )



			def  lowercase__						(		self     :    Tuple   )->Any:
							self.one_complete_example('''complete_nlp_example.py'''				,   __UpperCamelCase   )
							self.one_complete_example('''complete_nlp_example.py'''				,   __UpperCamelCase   )



			def  lowercase__						(		self     :    Optional[Any]   )->int:
							_UpperCAmelCase					=    os.path.abspath(os.path.join('''examples'''				,   '''cv_example.py'''   )   )
							_UpperCAmelCase					=    [
							    ''' ''' * 1_6 + '''{\n\n''',
							    ''' ''' * 2_0 + '''"accuracy": eval_metric["accuracy"],\n\n''',
							    ''' ''' * 2_0 + '''"f1": eval_metric["f1"],\n\n''',
							    ''' ''' * 2_0 + '''"train_loss": total_loss.item() / len(train_dataloader),\n\n''',
							    ''' ''' * 2_0 + '''"epoch": epoch,\n\n''',
							    ''' ''' * 1_6 + '''},\n\n''',
							    ''' ''' * 1_6 + '''step=epoch,\n''',
							    ''' ''' * 1_2,
							    ''' ''' * 8 + '''for step, batch in enumerate(active_dataloader):\n''',
							]
							self.one_complete_example('''complete_cv_example.py'''				,   __UpperCamelCase				,   __UpperCamelCase				,   __UpperCamelCase   )
							self.one_complete_example('''complete_cv_example.py'''				,   __UpperCamelCase				,   __UpperCamelCase				,   __UpperCamelCase   )



@mock.patch.dict(os.environ			,							{"""TESTING_MOCKED_DATALOADERS""": """1"""})
class 			_a (					lowerCAmelCase):
			"""simple docstring"""
			UpperCamelCase__			      =	False



			@classmethod
			def  lowercase__						(		cls     :    Optional[int]   )->Optional[Any]:
							super().setUpClass()
							_UpperCAmelCase					=    tempfile.mkdtemp()
							_UpperCAmelCase					=    os.path.join(cls._tmpdir				,   '''default_config.yml'''   )

							write_basic_config(save_location=cls.configPath   )
							_UpperCAmelCase					=    ['''accelerate''', '''launch''', '''--config_file''', cls.configPath]



			@classmethod
			def  lowercase__						(		cls     :    Dict   )->Any:
							super().tearDownClass()
							shutil.rmtree(cls._tmpdir   )



			def  lowercase__						(		self     :    Optional[int]   )->Any:
							_UpperCAmelCase					=    F'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps epoch\n        --output_dir {self.tmpdir}\n        '.split()
							run_command(self._launch_args + testargs   )
							self.assertTrue(os.path.exists(os.path.join(self.tmpdir				,   '''epoch_0'''   )   )   )



			def  lowercase__						(		self     :    Optional[int]   )->Optional[int]:
							_UpperCAmelCase					=    F'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '.split()
							_UpperCAmelCase					=    run_command(self._launch_args + testargs   )
							self.assertTrue(os.path.exists(os.path.join(self.tmpdir				,   '''step_2'''   )   )   )



			def  lowercase__						(		self     :    Optional[Any]   )->List[Any]:
							_UpperCAmelCase					=    F'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir				,   "epoch_0"   )}\n        '.split()
							_UpperCAmelCase					=    run_command(self._launch_args + testargs				,   return_stdout=__UpperCamelCase   )
							self.assertNotIn('''epoch 0:'''				,   __UpperCamelCase   )
							self.assertIn('''epoch 1:'''				,   __UpperCamelCase   )



			def  lowercase__						(		self     :    List[str]   )->str:
							_UpperCAmelCase					=    F'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir				,   "step_2"   )}\n        '.split()
							_UpperCAmelCase					=    run_command(self._launch_args + testargs				,   return_stdout=__UpperCamelCase   )
							if torch.cuda.is_available():
											_UpperCAmelCase					=    torch.cuda.device_count()
							else:
											_UpperCAmelCase					=    1
							if num_processes > 1:
											self.assertNotIn('''epoch 0:'''				,   __UpperCamelCase   )
											self.assertIn('''epoch 1:'''				,   __UpperCamelCase   )
							else:
											self.assertIn('''epoch 0:'''				,   __UpperCamelCase   )
											self.assertIn('''epoch 1:'''				,   __UpperCamelCase   )



			@slow
			def  lowercase__						(		self     :    Dict   )->List[Any]:
							_UpperCAmelCase					=    '''
        examples/by_feature/cross_validation.py
        --num_folds 2
        '''.split()
							with mock.patch.dict(os.environ				,   {'''TESTING_MOCKED_DATALOADERS''': '''0'''}   ):
											_UpperCAmelCase					=    run_command(self._launch_args + testargs				,   return_stdout=__UpperCamelCase   )
											_UpperCAmelCase					=    re.findall('''({.+})'''				,   __UpperCamelCase   )
											_UpperCAmelCase					=    [r for r in results if '''accuracy''' in r][-1]
											_UpperCAmelCase					=    ast.literal_eval(__UpperCamelCase   )
											self.assertGreaterEqual(results['''accuracy''']				,   0.7_5   )



			def  lowercase__						(		self     :    Any   )->List[Any]:
							_UpperCAmelCase					=    ['''examples/by_feature/multi_process_metrics.py''']
							run_command(self._launch_args + testargs   )



			@require_trackers
			@mock.patch.dict(os.environ				,   {'''WANDB_MODE''': '''offline'''}   )
			def  lowercase__						(		self     :    Optional[int]   )->Union[str, Any]:
							with tempfile.TemporaryDirectory() as tmpdir:
											_UpperCAmelCase					=    F'\n            examples/by_feature/tracking.py\n            --with_tracking\n            --project_dir {tmpdir}\n            '.split()
											run_command(self._launch_args + testargs   )
											self.assertTrue(os.path.exists(os.path.join(__UpperCamelCase				,   '''tracking'''   )   )   )



			def  lowercase__						(		self     :    Dict   )->Dict:
							_UpperCAmelCase					=    ['''examples/by_feature/gradient_accumulation.py''']
							run_command(self._launch_args + testargs   )



			def  lowercase__						(		self     :    Union[str, Any]   )->Tuple:
							_UpperCAmelCase					=    ['''examples/by_feature/local_sgd.py''']
							run_command(self._launch_args + testargs   )



