





"""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)

SCREAMING_SNAKE_CASE__					=   [
    '''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 		lowercase					(					unittest.TestCase					):





      def     _snake_case			(       self      ,						lowercase      ,						lowercase      ,						lowercase = None      ,						lowercase = None )		->     Optional[Any]:
            lowerCAmelCase  						=       None
            lowerCAmelCase  						=       os.path.abspath(os.path.join("""examples"""      ,						"""by_feature""" ) )
            lowerCAmelCase  						=       os.path.abspath("""examples""" )
            for item in os.listdir(__a ):
                  if item not in EXCLUDE_EXAMPLES:
                        lowerCAmelCase  						=       os.path.join(__a      ,						__a )
                        if os.path.isfile(__a ) and ".py" in item_path:
                              with self.subTest(
                                  tested_script=__a      ,						feature_script=__a      ,						tested_section="""main()""" if parser_only else """training_function()"""      ,						):
                                    lowerCAmelCase  						=       compare_against_test(
                                        os.path.join(__a      ,						__a )      ,						__a      ,						__a      ,						__a )
                                    lowerCAmelCase  						=       """\n""".join(__a )
                                    if special_strings is not None:
                                          for string in special_strings:
                                                lowerCAmelCase  						=       diff.replace(__a      ,						"""""" )
                                    self.assertEqual(__a      ,						"""""" )





      def     _snake_case			(       self )		->     Any:
            self.one_complete_example("""complete_nlp_example.py"""      ,						__a )
            self.one_complete_example("""complete_nlp_example.py"""      ,						__a )





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       os.path.abspath(os.path.join("""examples"""      ,						"""cv_example.py""" ) )
            lowerCAmelCase  						=       [
                """ """ * 16 + """{\n\n""",
                """ """ * 20 + """\"accuracy\": eval_metric[\"accuracy\"],\n\n""",
                """ """ * 20 + """\"f1\": eval_metric[\"f1\"],\n\n""",
                """ """ * 20 + """\"train_loss\": total_loss.item() / len(train_dataloader),\n\n""",
                """ """ * 20 + """\"epoch\": epoch,\n\n""",
                """ """ * 16 + """},\n\n""",
                """ """ * 16 + """step=epoch,\n""",
                """ """ * 12,
                """ """ * 8 + """for step, batch in enumerate(active_dataloader):\n""",
            ]
            self.one_complete_example("""complete_cv_example.py"""      ,						__a      ,						__a      ,						__a )
            self.one_complete_example("""complete_cv_example.py"""      ,						__a      ,						__a      ,						__a )







@mock.patch.dict(os.environ     ,  {'TESTING_MOCKED_DATALOADERS': '1'}					)
class 		lowercase					(					__a					):
      _SCREAMING_SNAKE_CASE					=      False





      @classmethod
      def     _snake_case			(       cls )		->     Dict:
            super().setUpClass()
            lowerCAmelCase  						=       tempfile.mkdtemp()
            lowerCAmelCase  						=       os.path.join(cls._tmpdir      ,						"""default_config.yml""" )

            write_basic_config(save_location=cls.configPath )
            lowerCAmelCase  						=       ["""accelerate""", """launch""", """--config_file""", cls.configPath]





      @classmethod
      def     _snake_case			(       cls )		->     Union[str, Any]:
            super().tearDownClass()
            shutil.rmtree(cls._tmpdir )





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       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     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       f'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '.split()
            lowerCAmelCase  						=       run_command(self._launch_args + testargs )
            self.assertTrue(os.path.exists(os.path.join(self.tmpdir      ,						"""step_2""" ) ) )





      def     _snake_case			(       self )		->     str:
            lowerCAmelCase  						=       f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir      ,						"epoch_0" )}\n        '.split()
            lowerCAmelCase  						=       run_command(self._launch_args + testargs      ,						return_stdout=__a )
            self.assertNotIn("""epoch 0:"""      ,						__a )
            self.assertIn("""epoch 1:"""      ,						__a )





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir      ,						"step_2" )}\n        '.split()
            lowerCAmelCase  						=       run_command(self._launch_args + testargs      ,						return_stdout=__a )
            if torch.cuda.is_available():
                  lowerCAmelCase  						=       torch.cuda.device_count()
            else:
                  lowerCAmelCase  						=       1
            if num_processes > 1:
                  self.assertNotIn("""epoch 0:"""      ,						__a )
                  self.assertIn("""epoch 1:"""      ,						__a )
            else:
                  self.assertIn("""epoch 0:"""      ,						__a )
                  self.assertIn("""epoch 1:"""      ,						__a )





      @slow
      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       """
        examples/by_feature/cross_validation.py
        --num_folds 2
        """.split()
            with mock.patch.dict(os.environ      ,						{"""TESTING_MOCKED_DATALOADERS""": """0"""} ):
                  lowerCAmelCase  						=       run_command(self._launch_args + testargs      ,						return_stdout=__a )
                  lowerCAmelCase  						=       re.findall("""({.+})"""      ,						__a )
                  lowerCAmelCase  						=       [r for r in results if """accuracy""" in r][-1]
                  lowerCAmelCase  						=       ast.literal_eval(__a )
                  self.assertGreaterEqual(results["""accuracy"""]      ,						0.75 )





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       ["""examples/by_feature/multi_process_metrics.py"""]
            run_command(self._launch_args + testargs )





      @require_trackers
      @mock.patch.dict(os.environ      ,						{"""WANDB_MODE""": """offline"""} )
      def     _snake_case			(       self )		->     Optional[int]:

            with tempfile.TemporaryDirectory() as tmpdir:
                  lowerCAmelCase  						=       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(__a      ,						"""tracking""" ) ) )





      def     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       ["""examples/by_feature/gradient_accumulation.py"""]
            run_command(self._launch_args + testargs )





      def     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       ["""examples/by_feature/local_sgd.py"""]
            run_command(self._launch_args + testargs )














import math
def 					snake_case_						(   lowerCAmelCase_				:  int					):

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5				,				int(math.sqrt(lowerCAmelCase_					) + 1					)				,				6					):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True
def 					snake_case_						(   lowerCAmelCase_				:  int = 10001					):

							try:
														__lowercase					:							Optional[int]			=   int(lowerCAmelCase_					)
							except (TypeError, ValueError):
														raise TypeError("""Parameter nth must be int or castable to int."""					) from None
							if nth <= 0:
														raise ValueError("""Parameter nth must be greater than or equal to one."""					)
							__lowercase					:							list[int]			=   []
							__lowercase					:							str			=   2
							while len(lowerCAmelCase_					) < nth:
														if is_prime(lowerCAmelCase_					):
																					primes.append(lowerCAmelCase_					)
																					num += 1
														else:
																					num += 1
							return primes[len(lowerCAmelCase_					) - 1]


if __name__ == "__main__":
	print(f'''{solution() = }''')