

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)

_UpperCAmelCase						:  List[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 					lowercase							(			unittest.TestCase     ):




				def        a				(   self ,  snake_case ,  snake_case ,  snake_case = None ,  snake_case = None			):
											snake_case_     							=       None
											snake_case_     							=       os.path.abspath(os.path.join('examples' ,  'by_feature'			)			)
											snake_case_     							=       os.path.abspath('examples'			)
											for item in os.listdir(__lowerCAmelCase			):
																		if item not in EXCLUDE_EXAMPLES:
																									snake_case_     							=       os.path.join(__lowerCAmelCase ,  __lowerCAmelCase			)
																									if os.path.isfile(__lowerCAmelCase			) and ".py" in item_path:
																																with self.subTest(
																																    tested_script=__lowerCAmelCase ,  feature_script=__lowerCAmelCase ,  tested_section='main()' if parser_only else 'training_function()' ,  ):
																																							snake_case_     							=       compare_against_test(
																																							    os.path.join(__lowerCAmelCase ,  __lowerCAmelCase			) ,  __lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase			)
																																							snake_case_     							=       '\n'.join(__lowerCAmelCase			)
																																							if special_strings is not None:
																																														for string in special_strings:
																																																					snake_case_     							=       diff.replace(__lowerCAmelCase ,  ''			)
																																							self.assertEqual(__lowerCAmelCase ,  ''			)




				def        a				(   self			):
											self.one_complete_example('complete_nlp_example.py' ,  __lowerCAmelCase			)
											self.one_complete_example('complete_nlp_example.py' ,  __lowerCAmelCase			)




				def        a				(   self			):
											snake_case_     							=       os.path.abspath(os.path.join('examples' ,  'cv_example.py'			)			)
											snake_case_     							=       [
											    ' ' * 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' ,  __lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase			)
											self.one_complete_example('complete_cv_example.py' ,  __lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase			)







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




				@classmethod
				def        a				(   cls			):
											super().setUpClass()
											snake_case_     							=       tempfile.mkdtemp()
											snake_case_     							=       os.path.join(cls._tmpdir ,  'default_config.yml'			)

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




				@classmethod
				def        a				(   cls			):
											super().tearDownClass()
											shutil.rmtree(cls._tmpdir			)




				def        a				(   self			):
											snake_case_     							=       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        a				(   self			):
											snake_case_     							=       F'''\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '''.split()
											snake_case_     							=       run_command(self._launch_args + testargs			)
											self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,  'step_2'			)			)			)




				def        a				(   self			):
											snake_case_     							=       F'''\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir ,  "epoch_0"			)}\n        '''.split()
											snake_case_     							=       run_command(self._launch_args + testargs ,  return_stdout=__lowerCAmelCase			)
											self.assertNotIn('epoch 0:' ,  __lowerCAmelCase			)
											self.assertIn('epoch 1:' ,  __lowerCAmelCase			)




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




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




				def        a				(   self			):
											snake_case_     							=       ['examples/by_feature/multi_process_metrics.py']
											run_command(self._launch_args + testargs			)




				@require_trackers
				@mock.patch.dict(os.environ ,  {'WANDB_MODE': 'offline'}			)
				def        a				(   self			):



											with tempfile.TemporaryDirectory() as tmpdir:
																		snake_case_     							=       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(__lowerCAmelCase ,  'tracking'			)			)			)




				def        a				(   self			):
											snake_case_     							=       ['examples/by_feature/gradient_accumulation.py']
											run_command(self._launch_args + testargs			)




				def        a				(   self			):
											snake_case_     							=       ['examples/by_feature/local_sgd.py']
											run_command(self._launch_args + testargs			)





"""simple docstring"""






from __future__ import annotations


def      UpperCAmelCase__			(							lowerCAmelCase__	:dict   ,						lowerCAmelCase__	:str						)					->       set[str]:
      '''simple docstring'''


      lowercase				,				lowercase								=      set(lowerCAmelCase__						), [start]

      while stack:
            lowercase								=      stack.pop()
            explored.add(lowerCAmelCase__						)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]						):
                  if adj not in explored:
                        stack.append(lowerCAmelCase__						)
      return explored


__lowerCAmelCase       :			str   	={
    """A""": ["""B""", """C""", """D"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B""", """D"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E""", """G"""],
    """G""": ["""F"""],
}

if __name__ == "__main__":
       import doctest

       doctest.testmod()
       print(depth_first_search(G, """A"""))



