


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     lowerCamelCase__	(self       :		List[Any] ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		bool ,   _UpperCAmelCase       :		str = None ,   _UpperCAmelCase       :		list = None						)		->  List[Any]:




							"""simple docstring"""


							lowercase__	     =						None
							lowercase__	     =						os.path.abspath(os.path.join("""examples""" ,   """by_feature"""						)						)
							lowercase__	     =						os.path.abspath("""examples"""						)
							for item in os.listdir(_UpperCAmelCase						):
									if item not in EXCLUDE_EXAMPLES:
											lowercase__	     =						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()""" ,   ):
															lowercase__	     =						compare_against_test(
															    os.path.join(_UpperCAmelCase ,   _UpperCAmelCase						) ,   _UpperCAmelCase ,   _UpperCAmelCase ,   _UpperCAmelCase						)
															lowercase__	     =						"""\n""".join(_UpperCAmelCase						)
															if special_strings is not None:
																	for string in special_strings:
																			lowercase__	     =						diff.replace(_UpperCAmelCase ,   """"""						)
															self.assertEqual(_UpperCAmelCase ,   """"""						)

					def     lowerCamelCase__	(self       :		Optional[int]						)		->  int:




							"""simple docstring"""


							self.one_complete_example("""complete_nlp_example.py""" ,   _UpperCAmelCase						)
							self.one_complete_example("""complete_nlp_example.py""" ,   _UpperCAmelCase						)


					def     lowerCamelCase__	(self       :		Tuple						)		->  Dict:




							"""simple docstring"""


							lowercase__	     =						os.path.abspath(os.path.join("""examples""" ,   """cv_example.py"""						)						)
							lowercase__	     =						[
							    """ """ * 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""" ,   _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       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					False

					@classmethod
					def     lowerCamelCase__	(cls       :		Tuple						)		->  int:




							"""simple docstring"""


							super().setUpClass()
							lowercase__	     =						tempfile.mkdtemp()
							lowercase__	     =						os.path.join(cls._tmpdir ,   """default_config.yml"""						)

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

					@classmethod
					def     lowerCamelCase__	(cls       :		List[Any]						)		->  int:




							"""simple docstring"""


							super().tearDownClass()
							shutil.rmtree(cls._tmpdir						)

					def     lowerCamelCase__	(self       :		str						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						f'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        '''.split()
							run_command(self._launch_args + testargs						)
							self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,   """epoch_0"""						)						)						)

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Dict:




							"""simple docstring"""


							lowercase__	     =						f'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        '''.split()
							lowercase__	     =						run_command(self._launch_args + testargs						)
							self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,   """step_2"""						)						)						)

					def     lowerCamelCase__	(self       :		Dict						)		->  Union[str, Any]:




							"""simple docstring"""


							lowercase__	     =						f'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir ,   "epoch_0"						)}
        '''.split()
							lowercase__	     =						run_command(self._launch_args + testargs ,   return_stdout=_UpperCAmelCase						)
							self.assertNotIn("""epoch 0:""" ,   _UpperCAmelCase						)
							self.assertIn("""epoch 1:""" ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Tuple:




							"""simple docstring"""


							lowercase__	     =						f'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir ,   "step_2"						)}
        '''.split()
							lowercase__	     =						run_command(self._launch_args + testargs ,   return_stdout=_UpperCAmelCase						)
							if torch.cuda.is_available():
									lowercase__	     =						torch.cuda.device_count()
							else:
									lowercase__	     =						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     lowerCamelCase__	(self       :		Union[str, Any]						)		->  Any:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		List[Any]						)		->  int:




							"""simple docstring"""


							lowercase__	     =						["""examples/by_feature/multi_process_metrics.py"""]
							run_command(self._launch_args + testargs						)

					@require_trackers
					@mock.patch.dict(os.environ ,   {"""WANDB_MODE""": """offline"""}						)
					def     lowerCamelCase__	(self       :		List[str]						)		->  str:




							"""simple docstring"""


							with tempfile.TemporaryDirectory() as tmpdir:
									lowercase__	     =						f'''
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            '''.split()
									run_command(self._launch_args + testargs						)
									self.assertTrue(os.path.exists(os.path.join(_UpperCAmelCase ,   """tracking"""						)						)						)

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						["""examples/by_feature/gradient_accumulation.py"""]
							run_command(self._launch_args + testargs						)


					def     lowerCamelCase__	(self       :		List[Any]						)		->  Optional[Any]:




							"""simple docstring"""


							lowercase__	     =						["""examples/by_feature/local_sgd.py"""]
							run_command(self._launch_args + testargs						)





import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)

