



"""simple docstring"""







from __future__ import annotations

from typing import Generic, TypeVar

lowerCAmelCase_   						=   TypeVar('T')
class        __A       (	Generic[T]    ):







		'''simple docstring'''





		def __init__(	self						:  List[str]			,_snake_case						:  T						)					->		None:






				"""simple docstring"""



				lowercase__   :    str				=			data
				lowercase__   :    Optional[int]				=			self
				lowercase__   :    List[Any]				=			0





class        __A       (	Generic[T]    ):







		'''simple docstring'''





		def __init__(	self						:  Optional[int]						)					->		None:






				"""simple docstring"""



				lowercase__   :    dict[T, DisjointSetTreeNode[T]]				=			{}







		def 					UpperCAmelCase    (	self						:  Optional[int]			,_snake_case						:  T						)					->		None:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			DisjointSetTreeNode(_snake_case						)







		def 					UpperCAmelCase    (	self						:  Optional[Any]			,_snake_case						:  T						)					->		DisjointSetTreeNode[T]:






				"""simple docstring"""



				lowercase__   :    str				=			self.map[data]
				if elem_ref != elem_ref.parent:
						lowercase__   :    Dict				=			self.find_set(elem_ref.parent.data						)
				return elem_ref.parent







		def 					UpperCAmelCase    (	self						:  Tuple			,_snake_case						:  DisjointSetTreeNode[T]			,_snake_case						:  DisjointSetTreeNode[T]						)					->		None:






				"""simple docstring"""



				if nodea.rank > nodea.rank:
						lowercase__   :    Optional[Any]				=			nodea
				else:
						lowercase__   :    Union[str, Any]				=			nodea
						if nodea.rank == nodea.rank:
								nodea.rank += 1







		def 					UpperCAmelCase    (	self						:  str			,_snake_case						:  T			,_snake_case						:  T						)					->		None:






				"""simple docstring"""



				self.link(self.find_set(_snake_case						)			,self.find_set(_snake_case						)						)





class        __A       (	Generic[T]    ):







		'''simple docstring'''





		def __init__(	self						:  Optional[int]						)					->		None:






				"""simple docstring"""



				lowercase__   :    dict[T, dict[T, int]]				=			{}







		def 					UpperCAmelCase    (	self						:  Tuple			,_snake_case						:  T						)					->		None:






				"""simple docstring"""



				if node not in self.connections:
						lowercase__   :    List[str]				=			{}







		def 					UpperCAmelCase    (	self						:  Any			,_snake_case						:  T			,_snake_case						:  T			,_snake_case						:  int						)					->		None:






				"""simple docstring"""



				self.add_node(_snake_case						)
				self.add_node(_snake_case						)
				lowercase__   :    Optional[Any]				=			weight
				lowercase__   :    Tuple				=			weight







		def 					UpperCAmelCase    (	self						:  List[str]						)					->		GraphUndirectedWeighted[T]:






				"""simple docstring"""



				lowercase__   :    str				=			[]
				lowercase__   :    List[str]				=			set()
				for start in self.connections:
						for end in self.connections[start]:
								if (start, end) not in seen:
										seen.add((end, start)						)
										edges.append((start, end, self.connections[start][end])						)
				edges.sort(key=lambda _snake_case						: x[2]						)

				# creating the disjoint set
				lowercase__   :    str				=			DisjointSetTree[T]()
				for node in self.connections:
						disjoint_set.make_set(_snake_case						)

				# MST generation
				lowercase__   :    int				=			0
				lowercase__   :    Dict				=			0
				lowercase__   :    List[Any]				=			GraphUndirectedWeighted[T]()
				while num_edges < len(self.connections						) - 1:
						lowercase__		,			lowercase__		,			lowercase__   :    Optional[Any]				=			edges[index]
						index += 1
						lowercase__   :    str				=			disjoint_set.find_set(_snake_case						)
						lowercase__   :    List[str]				=			disjoint_set.find_set(_snake_case						)
						if parent_u != parent_v:
								num_edges += 1
								graph.add_edge(_snake_case			,_snake_case			,_snake_case						)
								disjoint_set.union(_snake_case			,_snake_case						)
				return graph





"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCAmelCase_   						=   {'configuration_xglm': ['XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XGLMConfig']}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   ['XGLMTokenizer']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   ['XGLMTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'XGLM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'XGLMForCausalLM',
							    'XGLMModel',
							    'XGLMPreTrainedModel',
							]


try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'FlaxXGLMForCausalLM',
							    'FlaxXGLMModel',
							    'FlaxXGLMPreTrainedModel',
							]


try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TFXGLMForCausalLM',
							    'TFXGLMModel',
							    'TFXGLMPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_xglm import XGLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_xglm_fast import XGLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_xglm import (
														    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFXGLMForCausalLM,
														    TFXGLMModel,
														    TFXGLMPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase_   						=   _LazyModule(__name__, globals()['__file__'], _import_structure)
