


import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile






def 						a__			(				A__,      A__,      A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     Tuple					=					multiprocessing.Manager()
			SCREAMING_SNAKE_CASE_		:     Dict					=					manager.list()

			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					multiprocessing.Process(target=__lowercase,      args=(check_program, result, timeout)				)
			p.start()
			p.join(timeout=timeout + 1				)
			if p.is_alive():
						p.kill()

			if not result:
						result.append('timed out'				)

			return {
			    "task_id": task_id,
			    "passed": result[0] == "passed",
			    "result": result[0],
			    "completion_id": completion_id,
			}






def 						a__			(				A__,      A__,      A__				):
			with create_tempdir():
						# These system calls are needed when cleaning up tempdir.
						import os
						import shutil

						SCREAMING_SNAKE_CASE_		:     Tuple					=					shutil.rmtree
						SCREAMING_SNAKE_CASE_		:     List[str]					=					os.rmdir
						SCREAMING_SNAKE_CASE_		:     Any					=					os.chdir

						# Disable functionalities that can make destructive changes to the test.
						reliability_guard()

						# Run program.
						try:
									SCREAMING_SNAKE_CASE_		:     List[str]					=					{}
									with swallow_io():
												with time_limit(__lowercase				):
															exec(__lowercase,      __lowercase				)
									result.append('passed'				)
						except TimeoutException:
									result.append('timed out'				)
						except BaseException as e:
									result.append(F'''failed: {e}'''				)

						# Needed for cleaning up.
						SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					rmtree
						SCREAMING_SNAKE_CASE_		:     str					=					rmdir
						SCREAMING_SNAKE_CASE_		:     Dict					=					chdir






@contextlib.contextmanager
def 						a__			(				A__				):
			def signal_handler(A__,      A__				):
						raise TimeoutException('Timed out!'				)

			signal.setitimer(signal.ITIMER_REAL,      __lowercase				)
			signal.signal(signal.SIGALRM,      __lowercase				)
			try:
						yield
			finally:
						signal.setitimer(signal.ITIMER_REAL,      0				)






@contextlib.contextmanager
def 						a__			(				):
			SCREAMING_SNAKE_CASE_		:     str					=					WriteOnlyStringIO()
			with contextlib.redirect_stdout(__lowercase				):
						with contextlib.redirect_stderr(__lowercase				):
									with redirect_stdin(__lowercase				):
												yield






@contextlib.contextmanager
def 						a__			(				):
			with tempfile.TemporaryDirectory() as dirname:
						with chdir(__lowercase				):
									yield dirname







class 	__lowercase    (A__  ):





							"""simple docstring"""







							pass







class 	__lowercase    (io.StringIO  ):





							"""simple docstring"""







							def 					UpperCamelCase__     (      self			,						*lowerCAmelCase__			,						**lowerCAmelCase__       ):





										"""simple docstring"""




										raise OSError






							def 					UpperCamelCase__     (      self			,						*lowerCAmelCase__			,						**lowerCAmelCase__       ):





										"""simple docstring"""




										raise OSError






							def 					UpperCamelCase__     (      self			,						*lowerCAmelCase__			,						**lowerCAmelCase__       ):





										"""simple docstring"""




										raise OSError






							def 					UpperCamelCase__     (      self			,						*lowerCAmelCase__			,						**lowerCAmelCase__       ):





										"""simple docstring"""




										return False







class 	__lowercase    (contextlib._RedirectStream  ):  # type: ignore





							"""simple docstring"""







							_UpperCAmelCase      =						"""stdin"""







@contextlib.contextmanager
def 						a__			(				A__				):
			if root == ".":
						yield
						return
			SCREAMING_SNAKE_CASE_		:     List[str]					=					os.getcwd()
			os.chdir(__lowercase				)
			try:
						yield
			except BaseException as exc:
						raise exc
			finally:
						os.chdir(__lowercase				)






def 						a__			(				A__=None				):

			if maximum_memory_bytes is not None:
						import resource

						resource.setrlimit(resource.RLIMIT_AS,      (maximum_memory_bytes, maximum_memory_bytes)				)
						resource.setrlimit(resource.RLIMIT_DATA,      (maximum_memory_bytes, maximum_memory_bytes)				)
						if not platform.uname().system == "Darwin":
									resource.setrlimit(resource.RLIMIT_STACK,      (maximum_memory_bytes, maximum_memory_bytes)				)

			faulthandler.disable()

			import builtins

			SCREAMING_SNAKE_CASE_		:     Any					=					None
			SCREAMING_SNAKE_CASE_		:     Any					=					None

			import os

			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					'1'

			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Dict					=					None
			SCREAMING_SNAKE_CASE_		:     List[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Any					=					None
			SCREAMING_SNAKE_CASE_		:     str					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					None
			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					None
			SCREAMING_SNAKE_CASE_		:     str					=					None
			SCREAMING_SNAKE_CASE_		:     str					=					None
			SCREAMING_SNAKE_CASE_		:     List[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     str					=					None
			SCREAMING_SNAKE_CASE_		:     List[str]					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     int					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Tuple					=					None
			SCREAMING_SNAKE_CASE_		:     List[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Tuple					=					None
			SCREAMING_SNAKE_CASE_		:     Dict					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					None
			SCREAMING_SNAKE_CASE_		:     str					=					None
			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					None
			SCREAMING_SNAKE_CASE_		:     int					=					None

			import shutil

			SCREAMING_SNAKE_CASE_		:     List[str]					=					None
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Dict					=					None

			import subprocess

			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					None  # type: ignore

			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					None

			import sys

			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Tuple					=					None
			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					None
			SCREAMING_SNAKE_CASE_		:     Dict					=					None
			SCREAMING_SNAKE_CASE_		:     Any					=					None







"""simple docstring"""






# We ignore warnings about stepping the scheduler since we step it ourselves during gradient accumulation

import warnings

from .state import AcceleratorState, GradientState


warnings.filterwarnings('ignore', category=UserWarning, module='torch.optim.lr_scheduler')





class 				a__					:



     def __init__(							self :List[str]      ,  _lowerCamelCase :Any      ,  _lowerCamelCase :Optional[Any]      ,  _lowerCamelCase :bool = True      ,  _lowerCamelCase :bool = False   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[Any]   	=scheduler
      UpperCamelCase_     :					Any   	=optimizers if isinstance(_lowerCamelCase      ,  (list, tuple)   ) else [optimizers]
      UpperCamelCase_     :					Dict   	=split_batches
      UpperCamelCase_     :					str   	=step_with_optimizer
      UpperCamelCase_     :					Dict   	=GradientState()



     def  lowerCamelCase_						(							self :Optional[int]      ,  *_lowerCamelCase :str      ,  **_lowerCamelCase :Union[str, Any]   ):







      '''simple docstring'''



      if not self.step_with_optimizer:
       # No link between scheduler and optimizer -> just step
       self.scheduler.step(*_lowerCamelCase      ,  **_lowerCamelCase   )
       return

      # Otherwise, first make sure the optimizer was stepped.
      if not self.gradient_state.sync_gradients:
       if self.gradient_state.adjust_scheduler:
        self.scheduler._step_count += 1
       return

      for opt in self.optimizers:
       if opt.step_was_skipped:
        return
      if self.split_batches:
       # Split batches -> the training dataloader batch size is not changed so one step per training step
       self.scheduler.step(*_lowerCamelCase      ,  **_lowerCamelCase   )
      else:
       # Otherwise the training dataloader batch size was multiplied by `num_processes`, so we need to do
       # num_processes steps per training step
       UpperCamelCase_     :					Optional[Any]   	=AcceleratorState().num_processes
       for _ in range(_lowerCamelCase   ):
        # Special case when using OneCycle and `drop_last` was not used
        if hasattr(self.scheduler      ,  'total_steps'   ):
         if self.scheduler._step_count <= self.scheduler.total_steps:
          self.scheduler.step(*_lowerCamelCase      ,  **_lowerCamelCase   )
        else:
         self.scheduler.step(*_lowerCamelCase      ,  **_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Dict   ):







      '''simple docstring'''



      return self.scheduler.get_last_lr()



     def  lowerCamelCase_						(							self :Tuple   ):







      '''simple docstring'''



      return self.scheduler.state_dict()



     def  lowerCamelCase_						(							self :Any      ,  _lowerCamelCase :Any   ):







      '''simple docstring'''



      self.scheduler.load_state_dict(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Any   ):







      '''simple docstring'''



      return self.scheduler.get_lr()




     def  lowerCamelCase_						(							self :Optional[int]      ,  *_lowerCamelCase :Union[str, Any]      ,  **_lowerCamelCase :Optional[int]   ):







      '''simple docstring'''



      return self.scheduler.print_lr(*_lowerCamelCase      ,  **_lowerCamelCase   )
