




"""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)

__A   :  Union[str, Any]					=      [
    '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       lowerCAmelCase__       (			unittest.TestCase    ):


				"""simple docstring"""





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



				def       snake_case    (     self					:	Optional[int]						):
						self.one_complete_example("complete_nlp_example.py"    ,   lowercase__						)
						self.one_complete_example("complete_nlp_example.py"    ,   lowercase__						)



				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		Optional[Any]												=				os.path.abspath(os.path.join("examples"    ,   "cv_example.py"						)						)
						__lowercase				:		List[Any]												=				[
						    " " * 1_6 + "{\n\n",
						    " " * 2_0 + "\"accuracy\": eval_metric[\"accuracy\"],\n\n",
						    " " * 2_0 + "\"f1\": eval_metric[\"f1\"],\n\n",
						    " " * 2_0 + "\"train_loss\": total_loss.item() / len(train_dataloader),\n\n",
						    " " * 2_0 + "\"epoch\": epoch,\n\n",
						    " " * 1_6 + "},\n\n",
						    " " * 1_6 + "step=epoch,\n",
						    " " * 1_2,
						    " " * 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       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				__UpperCAmelCase :     Optional[int]       =      False



				@classmethod
				def       snake_case    (     cls					:	List[Any]						):
						super().setUpClass()
						__lowercase				:		Union[str, Any]												=				tempfile.mkdtemp()
						__lowercase				:		List[str]												=				os.path.join(cls._tmpdir    ,   "default_config.yml"						)

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



				@classmethod
				def       snake_case    (     cls					:	int						):
						super().tearDownClass()
						shutil.rmtree(cls._tmpdir						)



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



				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		Optional[Any]												=				f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir    ,   "epoch_0"						)}\n        '.split()
						__lowercase				:		List[Any]												=				run_command(self._launch_args + testargs    ,   return_stdout=lowercase__						)
						self.assertNotIn("epoch 0:"    ,   lowercase__						)
						self.assertIn("epoch 1:"    ,   lowercase__						)



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



				def       snake_case    (     self					:	str						):
						__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       snake_case    (     self					:	Tuple						):
						with tempfile.TemporaryDirectory() as tmpdir:
								__lowercase				:		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(lowercase__    ,   "tracking"						)						)						)



				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		List[str]												=				["examples/by_feature/gradient_accumulation.py"]
						run_command(self._launch_args + testargs						)



				def       snake_case    (     self					:	Any						):
						__lowercase				:		List[str]												=				["examples/by_feature/local_sgd.py"]
						run_command(self._launch_args + testargs						)






"""simple docstring"""







class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	int    ,   lowercase__					:	List[Any]						):
						__lowercase				:		Tuple												=				val
						__lowercase				:		Optional[Any]												=				None
						__lowercase				:		Tuple												=				None



				def       snake_case    (     self					:	Optional[Any]    ,   lowercase__					:	List[str]						):
						if self.val:
								if val < self.val:
										if self.left is None:
												__lowercase				:		Tuple												=				Node(lowercase__						)
										else:
												self.left.insert(lowercase__						)
								elif val > self.val:
										if self.right is None:
												__lowercase				:		Any												=				Node(lowercase__						)
										else:
												self.right.insert(lowercase__						)
						else:
								__lowercase				:		Optional[Any]												=				val





def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Any:






		"""simple docstring"""


		if root:
				inorder(root.left,  _lowerCamelCase				)
				res.append(root.val				)
				inorder(root.right,  _lowerCamelCase				)

def 						snake_case__       (					_lowerCamelCase				)			->Optional[Any]:






		"""simple docstring"""


		if len(_lowerCamelCase				) == 0:
				return arr
		__lowercase				:		int												=				Node(arr[0]				)
		for i in range(1,  len(_lowerCamelCase				)				):
				root.insert(arr[i]				)
		# Traverse BST in order.
		__lowercase				:		Tuple												=				[]
		inorder(_lowerCamelCase,  _lowerCamelCase				)
		return res


if __name__ == "__main__":
						print(tree_sort([1_0, 1, 3, 2, 9, 1_4, 1_3]))
