Change typeof(x) <: y to x isa y

SciML · Nov 2, 2023 · b1f82f5 · b1f82f5
1 parent 185d9fd
commit b1f82f5
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Showing 9 changed files with 12 additions and 12 deletions.
diff --git a/docs/src/optimization_packages/optim.md b/docs/src/optimization_packages/optim.md
@@ -274,7 +274,7 @@ Gradient-based optimizers are optimizers which utilize the gradient information
           * `P = nothing`
           * `precondprep = (P, x) -> nothing`
           * `manifold = Flat()`
-          * `scaleinvH0::Bool = true && (typeof(P) <: Nothing)`
+          * `scaleinvH0::Bool = true && (P isa Nothing)`
   - [`Optim.NGMRES()`](https://julianlsolvers.github.io/Optim.jl/stable/#algo/ngmres/)
   - [`Optim.OACCEL()`](https://julianlsolvers.github.io/Optim.jl/stable/#algo/ngmres/)
 

diff --git a/ext/OptimizationEnzymeExt.jl b/ext/OptimizationEnzymeExt.jl
@@ -98,7 +98,7 @@ function Optimization.instantiate_function(f::OptimizationFunction{true}, x,
 
     if cons !== nothing && f.cons_j === nothing
         cons_j = function (J, θ)
-            if typeof(J) <: Vector
+            if J isa Vector
                 J .= Enzyme.jacobian(Enzyme.Forward, cons_oop, θ)[1, :]
             else
                 J .= Enzyme.jacobian(Enzyme.Forward, cons_oop, θ)
@@ -232,7 +232,7 @@ function Optimization.instantiate_function(f::OptimizationFunction{true},
 
     if cons !== nothing && f.cons_j === nothing
         cons_j = function (J, θ)
-            if typeof(J) <: Vector
+            if J isa Vector
                 J .= Enzyme.jacobian(Enzyme.Forward, cons_oop, θ)[1, :]
             else
                 J .= Enzyme.jacobian(Enzyme.Forward, cons_oop, θ)

diff --git a/lib/OptimizationBBO/src/OptimizationBBO.jl b/lib/OptimizationBBO/src/OptimizationBBO.jl
@@ -118,7 +118,7 @@ function SciMLBase.__solve(cache::Optimization.OptimizationCache{
             cb_call = cache.callback(decompose_trace(trace, cache.progress), x...)
         end
 
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process.")
         end
         if cb_call == true

diff --git a/lib/OptimizationCMAEvolutionStrategy/src/OptimizationCMAEvolutionStrategy.jl b/lib/OptimizationCMAEvolutionStrategy/src/OptimizationCMAEvolutionStrategy.jl
@@ -76,7 +76,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
 
     function _cb(trace)
         cb_call = cache.callback(decompose_trace(trace).metadata["x"], trace.value...)
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process.")
         end
         cur, state = iterate(data, state)

diff --git a/lib/OptimizationEvolutionary/src/OptimizationEvolutionary.jl b/lib/OptimizationEvolutionary/src/OptimizationEvolutionary.jl
@@ -85,7 +85,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
 
     function _cb(trace)
         cb_call = cache.callback(decompose_trace(trace).metadata["x"], trace.value...)
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process.")
         end
         cur, state = iterate(cache.data, state)

diff --git a/lib/OptimizationFlux/src/OptimizationFlux.jl b/lib/OptimizationFlux/src/OptimizationFlux.jl
@@ -66,7 +66,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
             cache.f.grad(G, θ, d...)
             x = cache.f(θ, cache.p, d...)
             cb_call = cache.callback(θ, x...)
-            if !(typeof(cb_call) <: Bool)
+            if !(cb_call isa Bool)
                 error("The callback should return a boolean `halt` for whether to stop the optimization process. Please see the sciml_train documentation for information.")
             elseif cb_call
                 break

diff --git a/lib/OptimizationOptimJL/src/OptimizationOptimJL.jl b/lib/OptimizationOptimJL/src/OptimizationOptimJL.jl
@@ -138,7 +138,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
                   cache.callback(decompose_trace(trace).metadata["centroid"],
             x...) :
                   cache.callback(decompose_trace(trace).metadata["x"], x...)
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process.")
         end
         nx_itr = iterate(cache.data, state)
@@ -252,7 +252,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
                   cache.callback(decompose_trace(trace).metadata["centroid"],
             x...) :
                   cache.callback(decompose_trace(trace).metadata["x"], x...)
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process.")
         end
         nx_itr = iterate(cache.data, state)
@@ -335,7 +335,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
 
     function _cb(trace)
         cb_call = cache.callback(decompose_trace(trace).metadata["x"], x...)
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process.")
         end
         nx_itr = iterate(cache.data, state)

diff --git a/lib/OptimizationOptimisers/src/OptimizationOptimisers.jl b/lib/OptimizationOptimisers/src/OptimizationOptimisers.jl
@@ -65,7 +65,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
             cache.f.grad(G, θ, d...)
             x = cache.f(θ, cache.p, d...)
             cb_call = cache.callback(θ, x...)
-            if !(typeof(cb_call) <: Bool)
+            if !(cb_call isa Bool)
                 error("The callback should return a boolean `halt` for whether to stop the optimization process. Please see the sciml_train documentation for information.")
             elseif cb_call
                 break

diff --git a/lib/OptimizationOptimisers/src/sophia.jl b/lib/OptimizationOptimisers/src/sophia.jl
@@ -93,7 +93,7 @@ function SciMLBase.__solve(cache::OptimizationCache{
         f.grad(gₜ, θ, d...)
         x = cache.f(θ, cache.p, d...)
         cb_call = cache.callback(θ, x...)
-        if !(typeof(cb_call) <: Bool)
+        if !(cb_call isa Bool)
             error("The callback should return a boolean `halt` for whether to stop the optimization process. Please see the sciml_train documentation for information.")
         elseif cb_call
             break