



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)

lowercase_						=       [
    """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 			_snake_case     (   unittest.TestCase):




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




				def 							A__ (  self   :  Dict  ):
							self.one_complete_example("complete_nlp_example.py",   __lowercase  )
							self.one_complete_example("complete_nlp_example.py",   __lowercase  )




				def 							A__ (  self   :  Any  ):
							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",   __lowercase,   __lowercase,   __lowercase  )
							self.one_complete_example("complete_cv_example.py",   __lowercase,   __lowercase,   __lowercase  )
@mock.patch.dict(os.environ      ,		{"""TESTING_MOCKED_DATALOADERS""": """1"""})
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   Union[str, Any]       						=False




				@classmethod
				def 							A__ (  cls   :  List[Any]  ):
							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 							A__ (  cls   :  int  ):
							super().tearDownClass()
							shutil.rmtree(cls._tmpdir  )




				def 							A__ (  self   :  List[str]  ):
							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 							A__ (  self   :  List[str]  ):
							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 							A__ (  self   :  Any  ):
							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=__lowercase  )
							self.assertNotIn("epoch 0:",   __lowercase  )
							self.assertIn("epoch 1:",   __lowercase  )




				def 							A__ (  self   :  Optional[Any]  ):
							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=__lowercase  )
							if torch.cuda.is_available():
										lowercase__   					=			torch.cuda.device_count()
							else:
										lowercase__   					=			1
							if num_processes > 1:
										self.assertNotIn("epoch 0:",   __lowercase  )
										self.assertIn("epoch 1:",   __lowercase  )
							else:
										self.assertIn("epoch 0:",   __lowercase  )
										self.assertIn("epoch 1:",   __lowercase  )




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




				def 							A__ (  self   :  Optional[Any]  ):
							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 							A__ (  self   :  List[str]  ):
							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(__lowercase,   "tracking"  )  )  )




				def 							A__ (  self   :  List[Any]  ):
							lowercase__   					=			["examples/by_feature/gradient_accumulation.py"]
							run_command(self._launch_args + testargs  )




				def 							A__ (  self   :  Union[str, Any]  ):
							lowercase__   					=			["examples/by_feature/local_sgd.py"]
							run_command(self._launch_args + testargs  )









from __future__ import annotations



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			return len(set(SCREAMING_SNAKE_CASE_					)					) == len(SCREAMING_SNAKE_CASE_					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




