





from __future__ import annotations

from typing import Generic, TypeVar

UpperCAmelCase__						:			str									=TypeVar('''T''')

class       __A     (						Generic[T]    ):


					def __init__(		self   , UpperCAmelCase_							):
									lowerCamelCase	 =data
									lowerCamelCase	 =self
									lowerCamelCase	 =0




class       __A     (						Generic[T]    ):


					def __init__(		self							):
									lowerCamelCase	 ={}


					def _snake_case       (		self   , UpperCAmelCase_							):
									lowerCamelCase	 =DisjointSetTreeNode(lowerCamelCase__							)


					def _snake_case       (		self   , UpperCAmelCase_							):
									lowerCamelCase	 =self.map[data]
									if elem_ref != elem_ref.parent:
													lowerCamelCase	 =self.find_set(elem_ref.parent.data							)
									return elem_ref.parent


					def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_							):







									if nodea.rank > nodea.rank:
													lowerCamelCase	 =nodea
									else:
													lowerCamelCase	 =nodea
													if nodea.rank == nodea.rank:
																	nodea.rank += 1


					def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_							):
									self.link(self.find_set(lowerCamelCase__							)   , self.find_set(lowerCamelCase__							)							)




class       __A     (						Generic[T]    ):


					def __init__(		self							):
									lowerCamelCase	 ={}


					def _snake_case       (		self   , UpperCAmelCase_							):







									if node not in self.connections:
													lowerCamelCase	 ={}


					def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							):
									self.add_node(lowerCamelCase__							)
									self.add_node(lowerCamelCase__							)
									lowerCamelCase	 =weight
									lowerCamelCase	 =weight


					def _snake_case       (		self							):
									lowerCamelCase	 =[]
									lowerCamelCase	 =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 UpperCAmelCase_							: x[2]							)

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

									# MST generation
									lowerCamelCase	 =0
									lowerCamelCase	 =0
									lowerCamelCase	 =GraphUndirectedWeighted[T]()
									while num_edges < len(self.connections							) - 1:
													lowerCamelCase	 =edges[index]
													index += 1
													lowerCamelCase	 =disjoint_set.find_set(lowerCamelCase__							)
													lowerCamelCase	 =disjoint_set.find_set(lowerCamelCase__							)
													if parent_u != parent_v:
																	num_edges += 1
																	graph.add_edge(lowerCamelCase__   , lowerCamelCase__   , lowerCamelCase__							)
																	disjoint_set.union(lowerCamelCase__   , lowerCamelCase__							)
									return graph












from typing import TYPE_CHECKING

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


UpperCAmelCase__						:			str									={'''configuration_fnet''': ['''FNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FNetConfig''']}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			List[Any]									=['''FNetTokenizer''']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			Any									=['''FNetTokenizerFast''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			Dict									=[
							    '''FNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''FNetForMaskedLM''',
							    '''FNetForMultipleChoice''',
							    '''FNetForNextSentencePrediction''',
							    '''FNetForPreTraining''',
							    '''FNetForQuestionAnswering''',
							    '''FNetForSequenceClassification''',
							    '''FNetForTokenClassification''',
							    '''FNetLayer''',
							    '''FNetModel''',
							    '''FNetPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_fnet import FNetTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_fnet_fast import FNetTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_fnet import (
														    FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
														    FNetForMaskedLM,
														    FNetForMultipleChoice,
														    FNetForNextSentencePrediction,
														    FNetForPreTraining,
														    FNetForQuestionAnswering,
														    FNetForSequenceClassification,
														    FNetForTokenClassification,
														    FNetLayer,
														    FNetModel,
														    FNetPreTrainedModel,
														)


else:
							import sys

							UpperCAmelCase__						:			Optional[int]									=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





