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🤖 Auto-format Julia code #4

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2 changes: 1 addition & 1 deletion ext/DistributionsExt/DistributionsExt.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -8,4 +8,4 @@ import MessagePassingRulesBase: sdtype
MessagePassingRulesBase.sdtype(::Type{<:Distribution}) = MessagePassingRulesBase.Stochastic()
MessagePassingRulesBase.sdtype(::Distribution) = MessagePassingRulesBase.Stochastic()

end
end
10 changes: 5 additions & 5 deletions src/interfaces/factornodes.jl
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Expand Up @@ -274,8 +274,9 @@ function generate_node_expression(node_fform, node_type, node_interfaces)
:(MessagePassingRulesBase.collect_factorisation(::$dispatch_type, factorisation::Tuple) = factorisation)
else
:(
MessagePassingRulesBase.collect_factorisation(::$dispatch_type, factorisation::Tuple) =
($(ntuple(identity, length(interfaces))),)
MessagePassingRulesBase.collect_factorisation(::$dispatch_type, factorisation::Tuple) = (
$(ntuple(identity, length(interfaces))),
)
)
end

Expand Down Expand Up @@ -327,8 +328,7 @@ function generate_node_expression(node_fform, node_type, node_interfaces)

# Define the necessary function types
result = quote
@doc $doc MessagePassingRulesBase.is_predefined_node(::$dispatch_type) =
MessagePassingRulesBase.PredefinedNodeFunctionalForm()
@doc $doc MessagePassingRulesBase.is_predefined_node(::$dispatch_type) = MessagePassingRulesBase.PredefinedNodeFunctionalForm()

MessagePassingRulesBase.sdtype(::$dispatch_type) = (MessagePassingRulesBase.$node_type)()
MessagePassingRulesBase.interfaces(::$dispatch_type) = Val($(Tuple(map(first, interfaces))))
Expand Down Expand Up @@ -383,4 +383,4 @@ See `?is_predefined_node`.
"""
macro node(node_fform, node_type, node_interfaces)
return esc(generate_node_expression(node_fform, node_type, node_interfaces))
end
end
7 changes: 4 additions & 3 deletions test/interfaces/factornodes_tests.jl
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Expand Up @@ -168,8 +168,9 @@ end

@node DummyNodeForNodeFunctionAsDistribution Stochastic [out, mean, var]

Distributions.logpdf(node::DummyNodeForNodeFunctionAsDistribution, out) =
Distributions.logpdf(Distributions.Normal(node.mean, node.var), out)
Distributions.logpdf(node::DummyNodeForNodeFunctionAsDistribution, out) = Distributions.logpdf(
Distributions.Normal(node.mean, node.var), out
)

nodefunction = (out, mean, var) -> Distributions.logpdf(Distributions.Normal(mean, var), out)

Expand All @@ -191,4 +192,4 @@ end
) ≈ nodefunction(out, mean, var)
end
end
end
end