




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCAmelCase_						={
    """configuration_rag""": ["""RagConfig"""],
    """retrieval_rag""": ["""RagRetriever"""],
    """tokenization_rag""": ["""RagTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """RagModel""",
		    """RagPreTrainedModel""",
		    """RagSequenceForGeneration""",
		    """RagTokenForGeneration""",
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """TFRagModel""",
		    """TFRagPreTrainedModel""",
		    """TFRagSequenceForGeneration""",
		    """TFRagTokenForGeneration""",
		]


if TYPE_CHECKING:
		from .configuration_rag import RagConfig
		from .retrieval_rag import RagRetriever
		from .tokenization_rag import RagTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_rag import (
				    TFRagModel,
				    TFRagPreTrainedModel,
				    TFRagSequenceForGeneration,
				    TFRagTokenForGeneration,
				)

else:
		import sys

		UpperCAmelCase_						=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









from __future__ import annotations

from typing import Generic, TypeVar

UpperCAmelCase_						=TypeVar("""T""")


class 							__UpperCamelCase			( Generic[T]  ):





				'''simple docstring'''



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




class 							__UpperCamelCase			( Generic[T]  ):





				'''simple docstring'''



				def __init__( self						):
											# map from node name to the node object
											lowerCAmelCase   =		{}



				def       __snake_case		( self       , UpperCAmelCase_						):
											# create a new set with x as its member
											lowerCAmelCase   =		DisjointSetTreeNode(UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_						):
											# find the set x belongs to (with path-compression)
											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_						):
											# helper function for union operation
											if nodea.rank > nodea.rank:
																		lowerCAmelCase   =		nodea
											else:
																		lowerCAmelCase   =		nodea
																		if nodea.rank == nodea.rank:
																									nodea.rank += 1






				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_						):
											# merge 2 disjoint sets
											self.link(self.find_set(UpperCAmelCase_						)       , self.find_set(UpperCAmelCase_						)						)




class 							__UpperCamelCase			( Generic[T]  ):





				'''simple docstring'''



				def __init__( self						):
											# connections: map from the node to the neighbouring nodes (with weights)
											lowerCAmelCase   =		{}



				def       __snake_case		( self       , UpperCAmelCase_						):
											# add a node ONLY if its not present in the graph
											if node not in self.connections:
																		lowerCAmelCase   =		{}



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_						):
											# add an edge with the given weight
											self.add_node(UpperCAmelCase_						)
											self.add_node(UpperCAmelCase_						)
											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(UpperCAmelCase_						)

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



