






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_ :						Dict      =      {
    '''configuration_xlm_roberta_xl''': [
        '''XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XLMRobertaXLConfig''',
        '''XLMRobertaXLOnnxConfig''',
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase_ :						List[Any]      =      [
	    '''XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''XLMRobertaXLForCausalLM''',
	    '''XLMRobertaXLForMaskedLM''',
	    '''XLMRobertaXLForMultipleChoice''',
	    '''XLMRobertaXLForQuestionAnswering''',
	    '''XLMRobertaXLForSequenceClassification''',
	    '''XLMRobertaXLForTokenClassification''',
	    '''XLMRobertaXLModel''',
	    '''XLMRobertaXLPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_xlm_roberta_xl import (
	    XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    XLMRobertaXLConfig,
	    XLMRobertaXLOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xlm_roberta_xl import (
		    XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
		    XLMRobertaXLForCausalLM,
		    XLMRobertaXLForMaskedLM,
		    XLMRobertaXLForMultipleChoice,
		    XLMRobertaXLForQuestionAnswering,
		    XLMRobertaXLForSequenceClassification,
		    XLMRobertaXLForTokenClassification,
		    XLMRobertaXLModel,
		    XLMRobertaXLPreTrainedModel,
		)

else:
	import sys

	UpperCAmelCase_ :						Dict      =      _LazyModule(__name__, globals()['''__file__'''], _import_structure)








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






	"""simple docstring"""



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






	"""simple docstring"""



	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
			UpperCamelCase     :str          =	next_ver
			# Validate created path
			if util_hamilton_cycle(__magic_name__	,			__magic_name__	,			curr_ind + 1					):
				return True
			# Backtrack
			UpperCamelCase     :Union[str, Any]          =	-1
	return False

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[list[int]]	,			__magic_name__					:  int = 0					)		->			list[int]:






	"""simple docstring"""



	UpperCamelCase     :Union[str, Any]          =	[-1] * (len(__magic_name__					) + 1)
	# initialize start and end of path with starting index
	UpperCamelCase     :Any          =	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 []
