






"""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)

lowerCamelCase_							      = [
    '''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      UpperCamelCase_			(unittest.TestCase	):





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]      ,      lowerCAmelCase_   :					str      ,      lowerCAmelCase_   :					bool      ,      lowerCAmelCase_   :					str = None      ,      lowerCAmelCase_   :					list = None		)		->     Tuple:
				UpperCAmelCase_	:					List[Any]     	=   None
				UpperCAmelCase_	:					int     	=   os.path.abspath(os.path.join("examples"      ,      "by_feature"		)		)
				UpperCAmelCase_	:					int     	=   os.path.abspath("examples"		)
				for item in os.listdir(lowerCAmelCase_		):
							if item not in EXCLUDE_EXAMPLES:
										UpperCAmelCase_	:					int     	=   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()"      ,      ):
																UpperCAmelCase_	:					Union[str, Any]     	=   compare_against_test(
																    os.path.join(lowerCAmelCase_      ,      lowerCAmelCase_		)      ,      lowerCAmelCase_      ,      lowerCAmelCase_      ,      lowerCAmelCase_		)
																UpperCAmelCase_	:					int     	=   "\n".join(lowerCAmelCase_		)
																if special_strings is not None:
																			for string in special_strings:
																						UpperCAmelCase_	:					int     	=   diff.replace(lowerCAmelCase_      ,      ""		)
																self.assertEqual(lowerCAmelCase_      ,      ""		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[str]		)		->     List[Any]:
				self.one_complete_example("complete_nlp_example.py"      ,      lowerCAmelCase_		)
				self.one_complete_example("complete_nlp_example.py"      ,      lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[Any]		)		->     Optional[Any]:
				UpperCAmelCase_	:					str     	=   os.path.abspath(os.path.join("examples"      ,      "cv_example.py"		)		)
				UpperCAmelCase_	:					List[str]     	=   [
				    " " * 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      UpperCamelCase_			(__A	):
	__magic_name__       =							False





	@classmethod
	def 	_SCREAMING_SNAKE_CASE ( cls   :					List[str]		)		->     str:
				super().setUpClass()
				UpperCAmelCase_	:					Optional[int]     	=   tempfile.mkdtemp()
				UpperCAmelCase_	:					List[str]     	=   os.path.join(cls._tmpdir      ,      "default_config.yml"		)

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





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





	def 	_SCREAMING_SNAKE_CASE ( self   :					int		)		->     Dict:
				UpperCAmelCase_	:					Optional[int]     	=   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 	_SCREAMING_SNAKE_CASE ( self   :					int		)		->     Optional[int]:
				UpperCAmelCase_	:					List[Any]     	=   f"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        """.split()
				UpperCAmelCase_	:					List[str]     	=   run_command(self._launch_args + testargs		)
				self.assertTrue(os.path.exists(os.path.join(self.tmpdir      ,      "step_2"		)		)		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[str]		)		->     List[Any]:
				UpperCAmelCase_	:					List[str]     	=   f"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir      ,      'epoch_0'		)}
        """.split()
				UpperCAmelCase_	:					int     	=   run_command(self._launch_args + testargs      ,      return_stdout=lowerCAmelCase_		)
				self.assertNotIn("epoch 0:"      ,      lowerCAmelCase_		)
				self.assertIn("epoch 1:"      ,      lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]		)		->     Any:
				UpperCAmelCase_	:					Dict     	=   f"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir      ,      'step_2'		)}
        """.split()
				UpperCAmelCase_	:					Dict     	=   run_command(self._launch_args + testargs      ,      return_stdout=lowerCAmelCase_		)
				if torch.cuda.is_available():
							UpperCAmelCase_	:					Optional[int]     	=   torch.cuda.device_count()
				else:
							UpperCAmelCase_	:					List[Any]     	=   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 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     str:
				UpperCAmelCase_	:					int     	=   "\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        ".split()
				with mock.patch.dict(os.environ      ,      {"TESTING_MOCKED_DATALOADERS": "0"}		):
							UpperCAmelCase_	:					List[Any]     	=   run_command(self._launch_args + testargs      ,      return_stdout=lowerCAmelCase_		)
							UpperCAmelCase_	:					Dict     	=   re.findall("({.+})"      ,      lowerCAmelCase_		)
							UpperCAmelCase_	:					Tuple     	=   [r for r in results if "accuracy" in r][-1]
							UpperCAmelCase_	:					Dict     	=   ast.literal_eval(lowerCAmelCase_		)
							self.assertGreaterEqual(results["accuracy"]      ,      0.7_5		)





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





	@require_trackers
	@mock.patch.dict(os.environ      ,      {"WANDB_MODE": "offline"}		)
	def 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     List[Any]:
				with tempfile.TemporaryDirectory() as tmpdir:
							UpperCAmelCase_	:					Optional[int]     	=   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(lowerCAmelCase_      ,      "tracking"		)		)		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[str]		)		->     Tuple:
				UpperCAmelCase_	:					Dict     	=   ["examples/by_feature/gradient_accumulation.py"]
				run_command(self._launch_args + testargs		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     List[Any]:
				UpperCAmelCase_	:					int     	=   ["examples/by_feature/local_sgd.py"]
				run_command(self._launch_args + testargs		)








from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

_lowerCAmelCase	:   List[str]    =   TypeVar("T")


class 	__snake_case   ( Generic[T] ):
		def __init__(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  data
						lowerCAmelCase__		  =  None



		def __str__(							self						):







						"""simple docstring"""
						return f'{self.data}'



class 	__snake_case   ( Generic[T] ):
		def __init__(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  None
		def __iter__(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.top
						while node:
										yield node.data
										lowerCAmelCase__		  =  node.next
		def __str__(							self						):







						"""simple docstring"""
						return "->".join([str(a_						) for item in self]						)
		def __len__(							self						):







						"""simple docstring"""
						return len(tuple(iter(self						)						)						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						return self.top is None
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  Node(a_						)
						if not self.is_empty():
										lowerCAmelCase__		  =  self.top
						lowerCAmelCase__		  =  node
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						if self.is_empty():
										raise IndexError('pop from empty stack'						)
						assert isinstance(self.top    ,a_						)
						lowerCAmelCase__		  =  self.top
						lowerCAmelCase__		  =  self.top.next
						return pop_node.data
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						if self.is_empty():
										raise IndexError('peek from empty stack'						)

						assert self.top is not None
						return self.top.data



		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  None


if __name__ == "__main__":
	from doctest import testmod

	testmod()
