





"""simple docstring"""






# using dfs for finding eulerian path traversal

def       __A (     a_  :List[Any]				,    a_  :List[Any]				,    a_  :Union[str, Any]				,    a_  :Optional[int]=None)						->						Dict:
				__a	:  Dict         =					(path or []) + [u]
				for v in graph[u]:
								if visited_edge[u][v] is False:
												__a    ,  __a	:  Tuple         =					True, True
												__a	:  Union[str, Any]         =					dfs(a_				,    a_				,    a_				,    a_)
				return path

def       __A (     a_  :Optional[int]				,    a_  :Optional[Any])						->						Optional[Any]:
				__a	:  int         =					0
				__a	:  List[str]         =					-1
				for i in range(a_):
								if i not in graph.keys():
												continue
								if len(graph[i]) % 2 == 1:
												odd_degree_nodes += 1
												__a	:  str         =					i
				if odd_degree_nodes == 0:
								return 1, odd_node
				if odd_degree_nodes == 2:
								return 2, odd_node
				return 3, odd_node

def       __A (     a_  :str				,    a_  :Tuple)						->						Tuple:
				__a	:  Optional[int]         =					[[False for _ in range(max_node + 1)] for _ in range(max_node + 1)]
				__a    ,  __a	:  Any         =					check_circuit_or_path(a_				,    a_)
				if check == 3:
								print('''graph is not Eulerian''')
								print('''no path''')
								return
				__a	:  Union[str, Any]         =					1
				if check == 2:
								__a	:  Any         =					odd_node
								print('''graph has a Euler path''')
				if check == 1:
								print('''graph has a Euler cycle''')
				__a	:  int         =					dfs(a_				,    a_				,    a_)
				print(a_)

def       __A (     )						->						Any:
				__a	:  Union[str, Any]         =					{1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
				__a	:  Optional[int]         =					{1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
				__a	:  Any         =					{1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
				__a	:  Any         =					{1: [2, 3], 2: [1, 3], 3: [1, 2]}
				__a	:  str         =					{
				    1: [],
				    2: []
				    # all degree is zero
				}
				__a	:  Optional[Any]         =					10
				check_euler(a_				,    a_)
				check_euler(a_				,    a_)
				check_euler(a_				,    a_)
				check_euler(a_				,    a_)
				check_euler(a_				,    a_)


if __name__ == "__main__":
		main()






"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A	     =					{
    '''configuration_instructblip''': [
        '''INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InstructBlipConfig''',
        '''InstructBlipQFormerConfig''',
        '''InstructBlipVisionConfig''',
    ],
    '''processing_instructblip''': ['''InstructBlipProcessor'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					[
		    '''INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''InstructBlipQFormerModel''',
		    '''InstructBlipPreTrainedModel''',
		    '''InstructBlipForConditionalGeneration''',
		    '''InstructBlipVisionModel''',
		]

if TYPE_CHECKING:
		from .configuration_instructblip import (
		    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    InstructBlipConfig,
		    InstructBlipQFormerConfig,
		    InstructBlipVisionConfig,
		)
		from .processing_instructblip import InstructBlipProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_instructblip import (
				    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    InstructBlipForConditionalGeneration,
				    InstructBlipPreTrainedModel,
				    InstructBlipQFormerModel,
				    InstructBlipVisionModel,
				)

else:
		import sys

		A	     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)