



"""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      A__  (    unittest.TestCase				):




	'''simple docstring'''





	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[int])							->			Tuple:

				"""simple docstring"""

				__lowerCAmelCase :    Any				=			logging.get_logger()

				# the current default level is logging.WARNING
				__lowerCAmelCase :    int				=			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(_lowerCamelCase)

	def 				_SCREAMING_SNAKE_CASE  (	self:						int)							->			List[str]:

				"""simple docstring"""

				__lowerCAmelCase :    List[Any]				=			logging.get_verbosity()

				__lowerCAmelCase :    str				=			logging.get_logger("transformers.models.bart.tokenization_bart")
				__lowerCAmelCase :    str				=			"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(_lowerCamelCase) as cl:
										logger.warning(_lowerCamelCase)
							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(_lowerCamelCase) as cl:
							logger.warning(_lowerCamelCase)
				self.assertEqual(cl.out			,     "")

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

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

	@mockenv(TRANSFORMERS_VERBOSITY="error")
	def 				_SCREAMING_SNAKE_CASE  (	self:						int)							->			List[Any]:

				"""simple docstring"""

				transformers.utils.logging._reset_library_root_logger()
				# this action activates the env var
				__lowerCAmelCase :    List[Any]				=			logging.get_logger("transformers.models.bart.tokenization_bart")

				__lowerCAmelCase :    List[Any]				=			os.getenv("TRANSFORMERS_VERBOSITY"			,     _lowerCamelCase)
				__lowerCAmelCase :    List[Any]				=			logging.log_levels[env_level_str]

				__lowerCAmelCase :    str				=			logging.get_verbosity()
				self.assertEqual(
				    _lowerCamelCase			,     _lowerCamelCase			,     F"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""			,     )

				# restore to the original level
				__lowerCAmelCase :    Union[str, Any]				=			""
				transformers.utils.logging._reset_library_root_logger()

	@mockenv(TRANSFORMERS_VERBOSITY="super-error")
	def 				_SCREAMING_SNAKE_CASE  (	self:						Any)							->			Dict:

				"""simple docstring"""

				transformers.utils.logging._reset_library_root_logger()
				__lowerCAmelCase :    Optional[Any]				=			logging.logging.getLogger()
				with CaptureLogger(_lowerCamelCase) 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 				_SCREAMING_SNAKE_CASE  (	self:						List[Any])							->			Optional[Any]:

				"""simple docstring"""

				transformers.utils.logging._reset_library_root_logger()

				__lowerCAmelCase :    List[Any]				=			logging.get_logger("transformers.models.bart.tokenization_bart")
				__lowerCAmelCase :    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(_lowerCamelCase) as cl:
										logger.warning_advice(_lowerCamelCase)
							self.assertEqual(cl.out			,     "")

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






def      _lowercase							(    )		->  int:
			disable_progress_bar()
			assert are_progress_bars_disabled()

			enable_progress_bar()
			assert not are_progress_bars_disabled()
'''simple docstring'''

import gc
import threading
import time

import psutil
import torch


class     __UpperCAmelCase       :





  def __init__(	self ):
     lowerCAmelCase_			=      psutil.Process()
     lowerCAmelCase_			=      False





  def 						UpperCAmelCase_	(	self ):
     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 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      True
     lowerCAmelCase_			=      threading.Thread(target=self.peak_monitor )
     lowerCAmelCase_			=      True
     self.thread.start()







  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      False
     self.thread.join()
     return self.cpu_memory_peak






A_     :						List[str]    							=PeakCPUMemory()



def snake_case_      (					)			->					Tuple:
   # Time
   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(__snake_case)
   torch.cuda.reset_peak_memory_stats()

   return measures



def snake_case_      (					__snake_case  :							Any)			->					List[str]:
   # Time
   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(__snake_case) - start_measures[str(__snake_case)]) / 2**20
      lowerCAmelCase_			=      (torch.cuda.max_memory_allocated(__snake_case) - start_measures[str(__snake_case)]) / 2**20

   return measures






def snake_case_      (					__snake_case  :							Dict	,   __snake_case  :							Optional[int])			->					Dict:
   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(__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''')





