





'''simple docstring'''


import gc
import threading
import time

import psutil
import torch

class  lowerCAmelCase_		:




 def __init__(						self		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   psutil.Process()
     _lowerCAmelCase						      =   False




 def 				_snake_case (						self		)     ->				Any:
     _lowerCAmelCase						      =   -1

     while True:
         _lowerCAmelCase						      =   max(self.process.memory_info().rss      ,  self.cpu_memory_peak		)

         # can't sleep or will not catch the peak right (this comment is here on purpose)
         if not self.peak_monitoring:
             break




 def 				_snake_case (						self		)     ->				Dict:
     _lowerCAmelCase						      =   True
     _lowerCAmelCase						      =   threading.Thread(target=self.peak_monitor		)
     _lowerCAmelCase						      =   True
     self.thread.start()





 def 				_snake_case (						self		)     ->				Optional[Any]:
     _lowerCAmelCase						      =   False
     self.thread.join()
     return self.cpu_memory_peak







_SCREAMING_SNAKE_CASE									=				PeakCPUMemory()


def 						__a():



    '''simple docstring'''





    _lowerCAmelCase						      =   {"time": time.time()}

    gc.collect()
    torch.cuda.empty_cache()

    # CPU mem
    _lowerCAmelCase						      =   psutil.Process().memory_info().rss
    cpu_peak_tracker.start()

    # GPU mem
    for i in range(torch.cuda.device_count()     ):
        _lowerCAmelCase						      =   torch.cuda.memory_allocated(SCREAMING_SNAKE_CASE_     )
    torch.cuda.reset_peak_memory_stats()

    return measures


def 						__a(SCREAMING_SNAKE_CASE_	:       Dict     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   {"time": time.time() - start_measures["time"]}

    gc.collect()
    torch.cuda.empty_cache()

    # CPU mem
    _lowerCAmelCase						      =   (psutil.Process().memory_info().rss - start_measures["cpu"]) / 2**20
    _lowerCAmelCase						      =   (cpu_peak_tracker.stop() - start_measures["cpu"]) / 2**20

    # GPU mem
    for i in range(torch.cuda.device_count()     ):
        _lowerCAmelCase						      =   (torch.cuda.memory_allocated(SCREAMING_SNAKE_CASE_     ) - start_measures[str(SCREAMING_SNAKE_CASE_     )]) / 2**20
        _lowerCAmelCase						      =   (torch.cuda.max_memory_allocated(SCREAMING_SNAKE_CASE_     ) - start_measures[str(SCREAMING_SNAKE_CASE_     )]) / 2**20

    return measures





def 						__a(SCREAMING_SNAKE_CASE_	:       Any		,							SCREAMING_SNAKE_CASE_	:       Any     ):



    '''simple docstring'''





    print(F'''{description}:'''     )
    print(F'''- Time: {measures['time']:.2f}s'''     )
    for i in range(torch.cuda.device_count()     ):
        print(F'''- GPU {i} allocated: {measures[str(SCREAMING_SNAKE_CASE_     )]:.2f}MiB'''     )
        _lowerCAmelCase						      =   measures[F'''{i}-peak''']
        print(F'''- GPU {i} peak: {peak:.2f}MiB'''     )
    print(F'''- CPU RAM allocated: {measures['cpu']:.2f}MiB'''     )
    print(F'''- CPU RAM peak: {measures['cpu-peak']:.2f}MiB'''     )







'''simple docstring'''





import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar







class        UpperCAmelCase_			(			unittest.TestCase      ):
    """simple docstring"""







    def lowerCamelCase			(       self   :	Optional[int]		):
          snake_case__    :       int       		= logging.get_logger()

          # the current default level is logging.WARNING
          snake_case__    :       str       		= logging.get_verbosity()

          logging.set_verbosity_error()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          logging.set_verbosity_warning()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          logging.set_verbosity_info()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          logging.set_verbosity_debug()
          self.assertEqual(logger.getEffectiveLevel()					,	logging.get_verbosity()		)

          # restore to the original level
          logging.set_verbosity(snake_case_		)




    def lowerCamelCase			(       self   :	Union[str, Any]		):
          snake_case__    :       List[Any]       		= logging.get_verbosity()

          snake_case__    :       Any       		= logging.get_logger("""transformers.models.bart.tokenization_bart"""		)
          snake_case__    :       int       		= """Testing 1, 2, 3"""

          # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
          if level_origin <= logging.WARNING:
                with CaptureLogger(snake_case_		) as cl:
                      logger.warning(snake_case_		)
                self.assertEqual(cl.out					,	msg + """\n"""		)

          # this is setting the level for all of `transformers.*` loggers
          logging.set_verbosity_error()

          # should not be able to log warnings
          with CaptureLogger(snake_case_		) as cl:
                logger.warning(snake_case_		)
          self.assertEqual(cl.out					,	""""""		)

          # should be able to log warnings again
          logging.set_verbosity_warning()
          with CaptureLogger(snake_case_		) as cl:
                logger.warning(snake_case_		)
          self.assertEqual(cl.out					,	msg + """\n"""		)

          # restore to the original level
          logging.set_verbosity(snake_case_		)




    @mockenv(TRANSFORMERS_VERBOSITY="""error"""		)
    def lowerCamelCase			(       self   :	Any		):
          # reset for the env var to take effect, next time some logger call is made
          transformers.utils.logging._reset_library_root_logger()
          # this action activates the env var
          snake_case__    :       Union[str, Any]       		= logging.get_logger("""transformers.models.bart.tokenization_bart"""		)

          snake_case__    :       int       		= os.getenv("""TRANSFORMERS_VERBOSITY"""					,	snake_case_		)
          snake_case__    :       List[Any]       		= logging.log_levels[env_level_str]

          snake_case__    :       str       		= logging.get_verbosity()
          self.assertEqual(
              snake_case_					,	snake_case_					,	f"TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"					,	)

          # restore to the original level
          snake_case__    :       List[Any]       		= """"""
          transformers.utils.logging._reset_library_root_logger()




    @mockenv(TRANSFORMERS_VERBOSITY="""super-error"""		)
    def lowerCamelCase			(       self   :	int		):
          # reset for the env var to take effect, next time some logger call is made
          transformers.utils.logging._reset_library_root_logger()
          snake_case__    :       List[Any]       		= logging.logging.getLogger()
          with CaptureLogger(snake_case_		) as cl:
                # this action activates the env var
                logging.get_logger("""transformers.models.bart.tokenization_bart"""		)
          self.assertIn("""Unknown option TRANSFORMERS_VERBOSITY=super-error"""					,	cl.out		)

          # no need to restore as nothing was changed




    def lowerCamelCase			(       self   :	int		):
          # testing `logger.warning_advice()`
          transformers.utils.logging._reset_library_root_logger()

          snake_case__    :       Optional[int]       		= logging.get_logger("""transformers.models.bart.tokenization_bart"""		)
          snake_case__    :       Tuple       		= """Testing 1, 2, 3"""

          with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="""1"""		):
                # nothing should be logged as env var disables this method
                with CaptureLogger(snake_case_		) as cl:
                      logger.warning_advice(snake_case_		)
                self.assertEqual(cl.out					,	""""""		)

          with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""""""		):
                # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
                with CaptureLogger(snake_case_		) as cl:
                      logger.warning_advice(snake_case_		)
                self.assertEqual(cl.out					,	msg + """\n"""		)





def 		__snake_case(							)						->					List[str]:
      disable_progress_bar()
      assert are_progress_bars_disabled()

      enable_progress_bar()
      assert not are_progress_bars_disabled()
