"""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        UpperCamelCase		(			unittest.TestCase  ):
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase = None     ,__UpperCamelCase = None			)	->      Union[str, Any]:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	None
        lowercase_	:				str													=	os.path.abspath(os.path.join('examples'     ,'by_feature'			)			)
        lowercase_	:				Optional[int]													=	os.path.abspath('examples'			)
        for item in os.listdir(__UpperCamelCase			):
             if item not in EXCLUDE_EXAMPLES:
                  lowercase_	:				str													=	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_	:				Dict													=	compare_against_test(
                                os.path.join(__UpperCamelCase     ,__UpperCamelCase			)     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase			)
                            lowercase_	:				str													=	'\n'.join(__UpperCamelCase			)
                            if special_strings is not None:
                                 for string in special_strings:
                                      lowercase_	:				Dict													=	diff.replace(__UpperCamelCase     ,''			)
                            self.assertEqual(__UpperCamelCase     ,''			)
   def 			_UpperCAmelCase   (			self			)	->      Tuple:


        '''simple docstring'''


        self.one_complete_example('complete_nlp_example.py'     ,__UpperCamelCase			)
        self.one_complete_example('complete_nlp_example.py'     ,__UpperCamelCase			)







   def 			_UpperCAmelCase   (			self			)	->      Tuple:


        '''simple docstring'''


        lowercase_	:				Optional[Any]													=	os.path.abspath(os.path.join('examples'     ,'cv_example.py'			)			)
        lowercase_	:				Tuple													=	[
            ' ' * 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        UpperCamelCase		(			lowercase_  ):
   lowercase							=  False
   @classmethod
   def 			_UpperCAmelCase   (			cls			)	->      Union[str, Any]:


        '''simple docstring'''


        super().setUpClass()
        lowercase_	:				str													=	tempfile.mkdtemp()
        lowercase_	:				Tuple													=	os.path.join(cls._tmpdir     ,'default_config.yml'			)

        write_basic_config(save_location=cls.configPath			)
        lowercase_	:				str													=	['accelerate', 'launch', '--config_file', cls.configPath]
   @classmethod
   def 			_UpperCAmelCase   (			cls			)	->      Union[str, Any]:


        '''simple docstring'''


        super().tearDownClass()
        shutil.rmtree(cls._tmpdir			)
   def 			_UpperCAmelCase   (			self			)	->      List[Any]:


        '''simple docstring'''


        lowercase_	:				Optional[Any]													=	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 			_UpperCAmelCase   (			self			)	->      Tuple:


        '''simple docstring'''


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


        '''simple docstring'''


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


        '''simple docstring'''


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


        '''simple docstring'''


        lowercase_	:				List[str]													=	'\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '.split()
        with mock.patch.dict(os.environ     ,{'TESTING_MOCKED_DATALOADERS': '0'}			):
             lowercase_	:				str													=	run_command(self._launch_args + testargs     ,return_stdout=__UpperCamelCase			)
             lowercase_	:				Optional[Any]													=	re.findall('({.+})'     ,__UpperCamelCase			)
             lowercase_	:				Dict													=	[r for r in results if 'accuracy' in r][-1]
             lowercase_	:				Optional[int]													=	ast.literal_eval(__UpperCamelCase			)
             self.assertGreaterEqual(results['accuracy']     ,0.75			)
   def 			_UpperCAmelCase   (			self			)	->      str:


        '''simple docstring'''


        lowercase_	:				str													=	['examples/by_feature/multi_process_metrics.py']
        run_command(self._launch_args + testargs			)
   @require_trackers
   @mock.patch.dict(os.environ     ,{'WANDB_MODE': 'offline'}			)
   def 			_UpperCAmelCase   (			self			)	->      Union[str, Any]:


        '''simple docstring'''


        with tempfile.TemporaryDirectory() as tmpdir:
             lowercase_	:				Any													=	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 			_UpperCAmelCase   (			self			)	->      List[str]:


        '''simple docstring'''


        lowercase_	:				Dict													=	['examples/by_feature/gradient_accumulation.py']
        run_command(self._launch_args + testargs			)







   def 			_UpperCAmelCase   (			self			)	->      str:


        '''simple docstring'''


        lowercase_	:				Dict													=	['examples/by_feature/local_sgd.py']
        run_command(self._launch_args + testargs			)


"""simple docstring"""







from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info



def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Optional[int]      ):
     return {key.lstrip('-'      ): value for key, value in zip(unknown_args[::2]     ,			unknown_args[1::2]      )}



def 			lowercase__(       ):
     lowercase_	:				Any													=	ArgumentParser(
         'HuggingFace Datasets CLI tool'     ,			usage='datasets-cli <command> [<args>]'     ,			allow_abbrev=__SCREAMING_SNAKE_CASE      )
     lowercase_	:				Tuple													=	parser.add_subparsers(help='datasets-cli command helpers'      )
     set_verbosity_info()

     # Register commands
     ConvertCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     EnvironmentCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     TestCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     RunBeamCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     DummyDataCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )

     # Parse args
     lowercase_							,  lowercase_	:				Dict													=	parser.parse_known_args()
     if not hasattr(__SCREAMING_SNAKE_CASE     ,			'func'      ):
          parser.print_help()
          exit(1      )
     lowercase_	:				int													=	parse_unknown_args(__SCREAMING_SNAKE_CASE      )

     # Run
     lowercase_	:				List[Any]													=	args.func(__SCREAMING_SNAKE_CASE     ,			**__SCREAMING_SNAKE_CASE      )
     service.run()


if __name__ == "__main__":
       main()

