



'''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:      Tuple		 =		[
    '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			):







    def     lowercase_ (   self				:						Union[str, Any]		,    __snake_case				:						str		,    __snake_case				:						bool		,    __snake_case				:						str = None		,    __snake_case				:						list = None			):
      a		:      Optional[int]       =  None
      a		:      Any       =  os.path.abspath(os.path.join('examples'		,    'by_feature'			)			)
      a		:      Dict       =  os.path.abspath('examples'			)
      for item in os.listdir(lowerCAmelCase__			):
        if item not in EXCLUDE_EXAMPLES:
          a		:      str       =  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()'		,    ):
              a		:      int       =  compare_against_test(
                  os.path.join(lowerCAmelCase__		,    lowerCAmelCase__			)		,    lowerCAmelCase__		,    lowerCAmelCase__		,    lowerCAmelCase__			)
              a		:      Optional[Any]       =  '\n'.join(lowerCAmelCase__			)
              if special_strings is not None:
                for string in special_strings:
                  a		:      List[Any]       =  diff.replace(lowerCAmelCase__		,    ''			)
              self.assertEqual(lowerCAmelCase__		,    ''			)







    def     lowercase_ (   self				:						str			):
      self.one_complete_example('complete_nlp_example.py'		,    lowerCAmelCase__			)
      self.one_complete_example('complete_nlp_example.py'		,    lowerCAmelCase__			)







    def     lowercase_ (   self				:						List[str]			):
      a		:      Optional[Any]       =  os.path.abspath(os.path.join('examples'		,    'cv_example.py'			)			)
      a		:      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'		,    lowerCAmelCase__		,    lowerCAmelCase__		,    lowerCAmelCase__			)
      self.one_complete_example('complete_cv_example.py'		,    lowerCAmelCase__		,    lowerCAmelCase__		,    lowerCAmelCase__			)




@mock.patch.dict(os.environ	,				{"""TESTING_MOCKED_DATALOADERS""": """1"""}			)
class 							a__(      _snake_case			):
    lowercase__				=					False







    @classmethod
    def     lowercase_ (   cls				:						int			):
      super().setUpClass()
      a		:      List[str]       =  tempfile.mkdtemp()
      a		:      int       =  os.path.join(cls._tmpdir		,    'default_config.yml'			)

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







    @classmethod
    def     lowercase_ (   cls				:						Optional[Any]			):
      super().tearDownClass()
      shutil.rmtree(cls._tmpdir			)







    def     lowercase_ (   self				:						List[Any]			):
      a		:      Union[str, Any]       =  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     lowercase_ (   self				:						str			):
      a		:      int       =  F"""\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        """.split()
      a		:      Union[str, Any]       =  run_command(self._launch_args + testargs			)
      self.assertTrue(os.path.exists(os.path.join(self.tmpdir		,    'step_2'			)			)			)







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







    def     lowercase_ (   self				:						List[str]			):
      a		:      Union[str, Any]       =  F"""\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir		,    "step_2"			)}\n        """.split()
      a		:      List[str]       =  run_command(self._launch_args + testargs		,    return_stdout=lowerCAmelCase__			)
      if torch.cuda.is_available():
        a		:      Tuple       =  torch.cuda.device_count()
      else:
        a		:      Union[str, 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     lowercase_ (   self				:						str			):
      a		:      Dict       =  '\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '.split()
      with mock.patch.dict(os.environ		,    {'TESTING_MOCKED_DATALOADERS': '0'}			):
        a		:      int       =  run_command(self._launch_args + testargs		,    return_stdout=lowerCAmelCase__			)
        a		:      Any       =  re.findall('({.+})'		,    lowerCAmelCase__			)
        a		:      Dict       =  [r for r in results if 'accuracy' in r][-1]
        a		:      Optional[int]       =  ast.literal_eval(lowerCAmelCase__			)
        self.assertGreaterEqual(results['accuracy']		,    0.75			)







    def     lowercase_ (   self				:						List[str]			):
      a		:      List[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     lowercase_ (   self				:						Tuple			):
      with tempfile.TemporaryDirectory() as tmpdir:
        a		:      Dict       =  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     lowercase_ (   self				:						Optional[Any]			):
      a		:      Union[str, Any]       =  ['examples/by_feature/gradient_accumulation.py']
      run_command(self._launch_args + testargs			)







    def     lowercase_ (   self				:						List[Any]			):
      a		:      Union[str, Any]       =  ['examples/by_feature/local_sgd.py']
      run_command(self._launch_args + testargs			)




'''simple docstring'''






from pathlib import Path

import fire
def    lowerCamelCase__ (		_A				,    _A				,    _A       ):
  a		:      Optional[Any]       =  Path(_A       )
  a		:      Tuple       =  Path(_A       )
  dest_dir.mkdir(exist_ok=_A       )
  for path in src_dir.iterdir():
    a		:      Tuple       =  [x.rstrip() for x in list(path.open().readlines()       )][:n]
    a		:      List[str]       =  dest_dir.joinpath(path.name       )
    print(_A       )
    dest_path.open('w'       ).write('\n'.join(_A       )       )


if __name__ == "__main__":
     fire.Fire(minify)