


# using dfs for finding eulerian path traversal











def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    List[Any]		,						_lowerCamelCase				:    Optional[int]		,						_lowerCamelCase				:    int		,						_lowerCamelCase				:    Any=None)      ->					str:






							'''simple docstring'''





							__UpperCamelCase			:     Union[str, Any]         =      (path or []) + [u]
							for v in graph[u]:
														if visited_edge[u][v] is False:
																					__UpperCamelCase			:     Any         =      True, True
																					__UpperCamelCase			:     List[Any]         =      dfs(lowerCAmelCase_		,						lowerCAmelCase_		,						lowerCAmelCase_		,						lowerCAmelCase_)
							return path




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Optional[int]		,						_lowerCamelCase				:    Union[str, Any])      ->					str:






							'''simple docstring'''





							__UpperCamelCase			:     Union[str, Any]         =      0
							__UpperCamelCase			:     Optional[int]         =      -1
							for i in range(lowerCAmelCase_):
														if i not in graph.keys():
																					continue
														if len(graph[i]) % 2 == 1:
																					odd_degree_nodes += 1
																					__UpperCamelCase			:     Any         =      i
							if odd_degree_nodes == 0:
														return 1, odd_node
							if odd_degree_nodes == 2:
														return 2, odd_node
							return 3, odd_node




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    List[Any]		,						_lowerCamelCase				:    int)      ->					Any:






							'''simple docstring'''





							__UpperCamelCase			:     str         =      [[False for _ in range(max_node + 1)] for _ in range(max_node + 1)]
							__UpperCamelCase			:     Any         =      check_circuit_or_path(lowerCAmelCase_		,						lowerCAmelCase_)
							if check == 3:
														print("graph is not Eulerian")
														print("no path")
														return
							__UpperCamelCase			:     Any         =      1
							if check == 2:
														__UpperCamelCase			:     int         =      odd_node
														print("graph has a Euler path")
							if check == 1:
														print("graph has a Euler cycle")
							__UpperCamelCase			:     Optional[int]         =      dfs(lowerCAmelCase_		,						lowerCAmelCase_		,						lowerCAmelCase_)
							print(lowerCAmelCase_)




def 			_SCREAMING_SNAKE_CASE      (	)      ->					List[str]:






							'''simple docstring'''





							__UpperCamelCase			:     Union[str, Any]         =      {1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
							__UpperCamelCase			:     str         =      {1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
							__UpperCamelCase			:     List[Any]         =      {1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
							__UpperCamelCase			:     str         =      {1: [2, 3], 2: [1, 3], 3: [1, 2]}
							__UpperCamelCase			:     List[Any]         =      {
							    1: [],
							    2: []
							    # all degree is zero
							}
							__UpperCamelCase			:     Dict         =      10
							check_euler(lowerCAmelCase_		,						lowerCAmelCase_)
							check_euler(lowerCAmelCase_		,						lowerCAmelCase_)
							check_euler(lowerCAmelCase_		,						lowerCAmelCase_)
							check_euler(lowerCAmelCase_		,						lowerCAmelCase_)
							check_euler(lowerCAmelCase_		,						lowerCAmelCase_)


if __name__ == "__main__":
		main()

import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict




@dataclass
class 				lowerCamelCase__							(       __lowercase):




	'''simple docstring'''




	_A			=  ComputeEnvironment.AMAZON_SAGEMAKER
	_A			=  True
	_A			=  'ml.p3.2xlarge'
	_A			=  'accelerate_sagemaker_execution_role'
	_A			=  'hf-sm'
	_A			=  'us-east-1'
	_A			=  1
	_A			=  'accelerate-sagemaker-1'
	_A			=  '1.6'
	_A			=  '4.4'
	_A			=  'train.py'
	_A			=  [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    'False',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]
	_A			=  [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    '--do_test',
	    'False',
	    '--do_predict',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]




class 				lowerCamelCase__							(       unittest.TestCase):




	'''simple docstring'''




	def      _lowerCamelCase       (      self	:Tuple		)	->				str:
								# If no defaults are changed, `to_kwargs` returns an empty dict.
								__UpperCamelCase			:     str         =      _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args		)
								assert isinstance(converted_args["model_name_or_path"]  ,     a		)
								assert isinstance(converted_args["do_train"]  ,     a		)
								assert isinstance(converted_args["epochs"]  ,     a		)
								assert isinstance(converted_args["learning_rate"]  ,     a		)
								assert isinstance(converted_args["max_steps"]  ,     a		)

								with pytest.raises(a		):
															_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args		)