
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     _SCREAMING_SNAKE_CASE     (      unittest.TestCase						):



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[int]:
					lowerCamelCase_						=			logging.get_logger()

					# the current default level is logging.WARNING
					lowerCamelCase_						=			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(lowercase )



	def     SCREAMING_SNAKE_CASE_(    self )				->       List[Any]:
					lowerCamelCase_						=			logging.get_verbosity()

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

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

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



	@mockenv(TRANSFORMERS_VERBOSITY="error" )
	def     SCREAMING_SNAKE_CASE_(    self )				->       str:
					# 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
					lowerCamelCase_						=			logging.get_logger("transformers.models.bart.tokenization_bart" )

					lowerCamelCase_						=			os.getenv("TRANSFORMERS_VERBOSITY"						,  lowercase )
					lowerCamelCase_						=			logging.log_levels[env_level_str]

					lowerCamelCase_						=			logging.get_verbosity()
					self.assertEqual(
					    lowercase						,  lowercase						,  f'TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'						,  )

					# restore to the original level
					lowerCamelCase_						=			""
					transformers.utils.logging._reset_library_root_logger()



	@mockenv(TRANSFORMERS_VERBOSITY="super-error" )
	def     SCREAMING_SNAKE_CASE_(    self )				->       int:
					# reset for the env var to take effect, next time some logger call is made
					transformers.utils.logging._reset_library_root_logger()
					lowerCamelCase_						=			logging.logging.getLogger()
					with CaptureLogger(lowercase ) 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 )				->       Any:
					# testing `logger.warning_advice()`
					transformers.utils.logging._reset_library_root_logger()

					lowerCamelCase_						=			logging.get_logger("transformers.models.bart.tokenization_bart" )
					lowerCamelCase_						=			"Testing 1, 2, 3"

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

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





def 			lowerCamelCase_ (				):
				disable_progress_bar()
				assert are_progress_bars_disabled()

				enable_progress_bar()
				assert not are_progress_bars_disabled()




from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst





def 			lowerCamelCase_ (				):
				lowerCamelCase_	,    lowerCamelCase_						=			9, 1_4  # noqa: F841
				lowerCamelCase_						=			[
				    [0, 1, 4],
				    [0, 7, 8],
				    [1, 2, 8],
				    [7, 8, 7],
				    [7, 6, 1],
				    [2, 8, 2],
				    [8, 6, 6],
				    [2, 3, 7],
				    [2, 5, 4],
				    [6, 5, 2],
				    [3, 5, 1_4],
				    [3, 4, 9],
				    [5, 4, 1_0],
				    [1, 7, 1_1],
				]

				lowerCamelCase_						=			defaultdict(lowerCamelCase__    )
				for nodea, nodea, cost in edges:
								adjancency[nodea].append([nodea, cost]    )
								adjancency[nodea].append([nodea, cost]    )

				lowerCamelCase_						=			mst(lowerCamelCase__    )

				lowerCamelCase_						=			[
				    [7, 6, 1],
				    [2, 8, 2],
				    [6, 5, 2],
				    [0, 1, 4],
				    [2, 5, 4],
				    [2, 3, 7],
				    [0, 7, 8],
				    [3, 4, 9],
				]

				for answer in expected:
								lowerCamelCase_						=			tuple(answer[:2]    )
								lowerCamelCase_						=			tuple(edge[::-1]    )
								assert edge in result or reverse in result


