

'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    list[list[int]]      ,   __magic_name__	:    int      ,   __magic_name__	:    int      ,   __magic_name__	:    list[int]	)							->     bool:

						# 1. Validate that path exists between current and next vertices
						if graph[path[curr_ind - 1]][next_ver] == 0:
												return False

						# 2. Validate that next vertex is not already in path
						return not any(vertex == next_ver for vertex in path	)






def 							_lowerCAmelCase (      __magic_name__	:    list[list[int]]      ,   __magic_name__	:    list[int]      ,   __magic_name__	:    int	)							->     bool:

						# Base Case
						if curr_ind == len(__magic_name__	):
												# return whether path exists between current and starting vertices
												return graph[path[curr_ind - 1]][path[0]] == 1

						# Recursive Step
						for next_ver in range(0      ,   len(__magic_name__	)	):
												if valid_connection(__magic_name__      ,   __magic_name__      ,   __magic_name__      ,   __magic_name__	):
																		# Insert current vertex  into path as next transition
																		lowercase   :       Tuple								=next_ver
																		# Validate created path
																		if util_hamilton_cycle(__magic_name__      ,   __magic_name__      ,   curr_ind + 1	):
																								return True
																		# Backtrack
																		lowercase   :       Dict								=-1
						return False







def 							_lowerCAmelCase (      __magic_name__	:    list[list[int]]      ,   __magic_name__	:    int = 0	)							->     list[int]:
						lowercase   :       List[str]								=[-1] * (len(__magic_name__	) + 1)
						# initialize start and end of path with starting index
						lowercase   :       List[str]								=start_index
						# evaluate and if we find answer return path either return empty array
						return path if util_hamilton_cycle(__magic_name__      ,   __magic_name__      ,   1	) else []








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_							=					{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""PLBartTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PLBartForCausalLM""",
							    """PLBartForConditionalGeneration""",
							    """PLBartForSequenceClassification""",
							    """PLBartModel""",
							    """PLBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





