


"""simple docstring"""
import shutil
import tempfile
import unittest
from unittest.mock import patch

from transformers import (
    DefaultFlowCallback,
    IntervalStrategy,
    PrinterCallback,
    ProgressCallback,
    Trainer,
    TrainerCallback,
    TrainingArguments,
    is_torch_available,
)
from transformers.testing_utils import require_torch


if is_torch_available():
				from transformers.trainer import DEFAULT_CALLBACKS

				from .test_trainer import RegressionDataset, RegressionModelConfig, RegressionPreTrainedModel





class        __A       (snake_case__):





							'''simple docstring'''

							def __init__(			self							: Union[str, Any]    )   ->Union[str, Any]:



														"""simple docstring"""



														snake_case_          =						[]



							def 						lowerCAmelCase    (			self							: str						,    UpperCAmelCase_							: str						,    UpperCAmelCase_							: Optional[Any]						,    UpperCAmelCase_							: Optional[Any]						,    **UpperCAmelCase_							: int    )   ->Tuple:



														"""simple docstring"""



														self.events.append("""on_init_end"""    )



							def 						lowerCAmelCase    (			self							: List[str]						,    UpperCAmelCase_							: int						,    UpperCAmelCase_							: Optional[Any]						,    UpperCAmelCase_							: str						,    **UpperCAmelCase_							: Dict    )   ->List[Any]:



														"""simple docstring"""



														self.events.append("""on_train_begin"""    )



							def 						lowerCAmelCase    (			self							: Dict						,    UpperCAmelCase_							: Tuple						,    UpperCAmelCase_							: str						,    UpperCAmelCase_							: Dict						,    **UpperCAmelCase_							: Optional[int]    )   ->Optional[Any]:



														"""simple docstring"""



														self.events.append("""on_train_end"""    )



							def 						lowerCAmelCase    (			self							: Tuple						,    UpperCAmelCase_							: Union[str, Any]						,    UpperCAmelCase_							: Tuple						,    UpperCAmelCase_							: List[Any]						,    **UpperCAmelCase_							: Union[str, Any]    )   ->Union[str, Any]:



														"""simple docstring"""



														self.events.append("""on_epoch_begin"""    )



							def 						lowerCAmelCase    (			self							: Tuple						,    UpperCAmelCase_							: Optional[Any]						,    UpperCAmelCase_							: Dict						,    UpperCAmelCase_							: int						,    **UpperCAmelCase_							: List[str]    )   ->Union[str, Any]:



														"""simple docstring"""



														self.events.append("""on_epoch_end"""    )



							def 						lowerCAmelCase    (			self							: List[str]						,    UpperCAmelCase_							: Optional[int]						,    UpperCAmelCase_							: Dict						,    UpperCAmelCase_							: Any						,    **UpperCAmelCase_							: Optional[Any]    )   ->List[str]:



														"""simple docstring"""



														self.events.append("""on_step_begin"""    )



							def 						lowerCAmelCase    (			self							: Dict						,    UpperCAmelCase_							: Dict						,    UpperCAmelCase_							: Union[str, Any]						,    UpperCAmelCase_							: List[str]						,    **UpperCAmelCase_							: int    )   ->Dict:



														"""simple docstring"""



														self.events.append("""on_step_end"""    )



							def 						lowerCAmelCase    (			self							: int						,    UpperCAmelCase_							: Optional[Any]						,    UpperCAmelCase_							: List[str]						,    UpperCAmelCase_							: Any						,    **UpperCAmelCase_							: Any    )   ->Optional[Any]:



														"""simple docstring"""



														self.events.append("""on_evaluate"""    )



							def 						lowerCAmelCase    (			self							: int						,    UpperCAmelCase_							: str						,    UpperCAmelCase_							: List[str]						,    UpperCAmelCase_							: Union[str, Any]						,    **UpperCAmelCase_							: List[str]    )   ->Dict:



														"""simple docstring"""



														self.events.append("""on_predict"""    )



							def 						lowerCAmelCase    (			self							: Optional[Any]						,    UpperCAmelCase_							: Optional[Any]						,    UpperCAmelCase_							: Optional[Any]						,    UpperCAmelCase_							: Optional[int]						,    **UpperCAmelCase_							: Dict    )   ->Dict:



														"""simple docstring"""



														self.events.append("""on_save"""    )



							def 						lowerCAmelCase    (			self							: Tuple						,    UpperCAmelCase_							: Optional[int]						,    UpperCAmelCase_							: Dict						,    UpperCAmelCase_							: Dict						,    **UpperCAmelCase_							: Any    )   ->str:



														"""simple docstring"""



														self.events.append("""on_log"""    )



							def 						lowerCAmelCase    (			self							: List[str]						,    UpperCAmelCase_							: Any						,    UpperCAmelCase_							: Any						,    UpperCAmelCase_							: Optional[Any]						,    **UpperCAmelCase_							: Union[str, Any]    )   ->Dict:



														"""simple docstring"""



														self.events.append("""on_prediction_step"""    )





@require_torch
class        __A       (unittest.TestCase):





							'''simple docstring'''

							def 						lowerCAmelCase    (			self							: List[Any]    )   ->Dict:



														"""simple docstring"""



														snake_case_          =						tempfile.mkdtemp()



							def 						lowerCAmelCase    (			self							: str    )   ->Optional[Any]:



														"""simple docstring"""



														shutil.rmtree(self.output_dir    )



							def 						lowerCAmelCase    (			self							: List[Any]						,    UpperCAmelCase_							: str=0						,    UpperCAmelCase_							: int=0						,    UpperCAmelCase_							: Optional[int]=64						,    UpperCAmelCase_							: List[Any]=64						,    UpperCAmelCase_							: int=None						,    UpperCAmelCase_							: str=False						,    **UpperCAmelCase_							: int    )   ->List[Any]:



														"""simple docstring"""



														snake_case_          =						RegressionDataset(length=UpperCAmelCase_    )
														snake_case_          =						RegressionDataset(length=UpperCAmelCase_    )
														snake_case_          =						RegressionModelConfig(a=UpperCAmelCase_						,    b=UpperCAmelCase_    )
														snake_case_          =						RegressionPreTrainedModel(UpperCAmelCase_    )

														snake_case_          =						TrainingArguments(self.output_dir						,    disable_tqdm=UpperCAmelCase_						,    report_to=[]						,    **UpperCAmelCase_    )
														return Trainer(
														    UpperCAmelCase_						,    UpperCAmelCase_						,    train_dataset=UpperCAmelCase_						,    eval_dataset=UpperCAmelCase_						,    callbacks=UpperCAmelCase_						,    )



							def 						lowerCAmelCase    (			self							: str						,    UpperCAmelCase_							: Any						,    UpperCAmelCase_							: Any    )   ->Optional[Any]:



														"""simple docstring"""



														self.assertEqual(len(UpperCAmelCase_    )						,    len(UpperCAmelCase_    )    )

														# Order doesn't matter
														snake_case_          =						sorted(UpperCAmelCase_						,    key=lambda UpperCAmelCase_    : cb.__name__ if isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) else cb.__class__.__name__    )
														snake_case_          =						sorted(UpperCAmelCase_						,    key=lambda UpperCAmelCase_    : cb.__name__ if isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) else cb.__class__.__name__    )

														for cba, cba in zip(UpperCAmelCase_						,    UpperCAmelCase_    ):
																					if isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) and isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ):
																												self.assertEqual(UpperCAmelCase_						,    UpperCAmelCase_    )
																					elif isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) and not isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ):
																												self.assertEqual(UpperCAmelCase_						,    cba.__class__    )
																					elif not isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) and isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ):
																												self.assertEqual(cba.__class__						,    UpperCAmelCase_    )
																					else:
																												self.assertEqual(UpperCAmelCase_						,    UpperCAmelCase_    )



							def 						lowerCAmelCase    (			self							: int						,    UpperCAmelCase_							: List[Any]    )   ->Optional[Any]:



														"""simple docstring"""



														snake_case_          =						["""on_init_end""", """on_train_begin"""]
														snake_case_          =						0
														snake_case_          =						len(trainer.get_eval_dataloader()    )
														snake_case_          =						["""on_prediction_step"""] * len(trainer.get_eval_dataloader()    ) + ["""on_log""", """on_evaluate"""]
														for _ in range(trainer.state.num_train_epochs    ):
																					expected_events.append("""on_epoch_begin"""    )
																					for _ in range(UpperCAmelCase_    ):
																												step += 1
																												expected_events += ["on_step_begin", "on_step_end"]
																												if step % trainer.args.logging_steps == 0:
																																			expected_events.append("""on_log"""    )
																												if trainer.args.evaluation_strategy == IntervalStrategy.STEPS and step % trainer.args.eval_steps == 0:
																																			expected_events += evaluation_events.copy()
																												if step % trainer.args.save_steps == 0:
																																			expected_events.append("""on_save"""    )
																					expected_events.append("""on_epoch_end"""    )
																					if trainer.args.evaluation_strategy == IntervalStrategy.EPOCH:
																												expected_events += evaluation_events.copy()
														expected_events += ["on_log", "on_train_end"]
														return expected_events



							def 						lowerCAmelCase    (			self							: int    )   ->str:



														"""simple docstring"""



														snake_case_          =						self.get_trainer()
														snake_case_          =						DEFAULT_CALLBACKS.copy() + [ProgressCallback]
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														# Callbacks passed at init are added to the default callbacks
														snake_case_          =						self.get_trainer(callbacks=[MyTestTrainerCallback]    )
														expected_callbacks.append(UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														# TrainingArguments.disable_tqdm controls if use ProgressCallback or PrinterCallback
														snake_case_          =						self.get_trainer(disable_tqdm=UpperCAmelCase_    )
														snake_case_          =						DEFAULT_CALLBACKS.copy() + [PrinterCallback]
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )



							def 						lowerCAmelCase    (			self							: List[Any]    )   ->Union[str, Any]:



														"""simple docstring"""



														snake_case_          =						DEFAULT_CALLBACKS.copy() + [ProgressCallback]
														snake_case_          =						self.get_trainer()

														# We can add, pop, or remove by class name
														trainer.remove_callback(UpperCAmelCase_    )
														expected_callbacks.remove(UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														snake_case_          =						self.get_trainer()
														snake_case_          =						trainer.pop_callback(UpperCAmelCase_    )
														self.assertEqual(cb.__class__						,    UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														trainer.add_callback(UpperCAmelCase_    )
														expected_callbacks.insert(0						,    UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														# We can also add, pop, or remove by instance
														snake_case_          =						self.get_trainer()
														snake_case_          =						trainer.callback_handler.callbacks[0]
														trainer.remove_callback(UpperCAmelCase_    )
														expected_callbacks.remove(UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														snake_case_          =						self.get_trainer()
														snake_case_          =						trainer.callback_handler.callbacks[0]
														snake_case_          =						trainer.pop_callback(UpperCAmelCase_    )
														self.assertEqual(UpperCAmelCase_						,    UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )

														trainer.add_callback(UpperCAmelCase_    )
														expected_callbacks.insert(0						,    UpperCAmelCase_    )
														self.check_callbacks_equality(trainer.callback_handler.callbacks						,    UpperCAmelCase_    )



							def 						lowerCAmelCase    (			self							: Union[str, Any]    )   ->int:



														"""simple docstring"""



														import warnings

														# XXX: for now ignore scatter_gather warnings in this test since it's not relevant to what's being tested
														warnings.simplefilter(action="""ignore"""						,    category=UpperCAmelCase_    )

														snake_case_          =						self.get_trainer(callbacks=[MyTestTrainerCallback]    )
														trainer.train()
														snake_case_          =						trainer.callback_handler.callbacks[-2].events
														self.assertEqual(UpperCAmelCase_						,    self.get_expected_events(UpperCAmelCase_    )    )

														# Independent log/save/eval
														snake_case_          =						self.get_trainer(callbacks=[MyTestTrainerCallback]						,    logging_steps=5    )
														trainer.train()
														snake_case_          =						trainer.callback_handler.callbacks[-2].events
														self.assertEqual(UpperCAmelCase_						,    self.get_expected_events(UpperCAmelCase_    )    )

														snake_case_          =						self.get_trainer(callbacks=[MyTestTrainerCallback]						,    save_steps=5    )
														trainer.train()
														snake_case_          =						trainer.callback_handler.callbacks[-2].events
														self.assertEqual(UpperCAmelCase_						,    self.get_expected_events(UpperCAmelCase_    )    )

														snake_case_          =						self.get_trainer(callbacks=[MyTestTrainerCallback]						,    eval_steps=5						,    evaluation_strategy="""steps"""    )
														trainer.train()
														snake_case_          =						trainer.callback_handler.callbacks[-2].events
														self.assertEqual(UpperCAmelCase_						,    self.get_expected_events(UpperCAmelCase_    )    )

														snake_case_          =						self.get_trainer(callbacks=[MyTestTrainerCallback]						,    evaluation_strategy="""epoch"""    )
														trainer.train()
														snake_case_          =						trainer.callback_handler.callbacks[-2].events
														self.assertEqual(UpperCAmelCase_						,    self.get_expected_events(UpperCAmelCase_    )    )

														# A bit of everything
														snake_case_          =						self.get_trainer(
														    callbacks=[MyTestTrainerCallback]						,    logging_steps=3						,    save_steps=10						,    eval_steps=5						,    evaluation_strategy="""steps"""						,    )
														trainer.train()
														snake_case_          =						trainer.callback_handler.callbacks[-2].events
														self.assertEqual(UpperCAmelCase_						,    self.get_expected_events(UpperCAmelCase_    )    )

														# warning should be emitted for duplicated callbacks
														with patch("""transformers.trainer_callback.logger.warning"""    ) as warn_mock:
																					snake_case_          =						self.get_trainer(
																					    callbacks=[MyTestTrainerCallback, MyTestTrainerCallback]						,    )
																					assert str(UpperCAmelCase_    ) in warn_mock.call_args[0][0]







"""simple docstring"""
def   _a			( _SCREAMING_SNAKE_CASE			)      ->			list[int]:
							snake_case_          =						len(_SCREAMING_SNAKE_CASE			)
							for i in range(_SCREAMING_SNAKE_CASE			):
														for j in range(i + 1			,	_SCREAMING_SNAKE_CASE			):
																					if numbers[j] < numbers[i]:
																												snake_case_    ,  snake_case_          =						numbers[j], numbers[i]
							return numbers


if __name__ == "__main__":
				__SCREAMING_SNAKE_CASE							:      Optional[int]						=      input('Enter numbers separated by a comma:\n').strip()
				__SCREAMING_SNAKE_CASE							:      List[str]						=      [int(item) for item in user_input.split(',')]
				print(exchange_sort(unsorted))



