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Apply JuliaFormatter with SciMLStyle to test file
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test/scalar_dispatch.jl

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@@ -18,7 +18,9 @@ using OrdinaryDiffEqVerner
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Lux.Dense(3 => 1, Lux.softplus, use_bias = false)
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)
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sym_nn, θ = SymbolicNeuralNetwork(; nn_p_name = , chain, n_input = 1, n_output = 1, rng = StableRNG(42))
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sym_nn,
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θ = SymbolicNeuralNetwork(;
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nn_p_name = , chain, n_input = 1, n_output = 1, rng = StableRNG(42))
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# Test that scalar dispatch works (fix for issue #83)
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# Previously required: sym_nn([Y], θ)[1]

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