== -> ≈ to fix #249

Author: st--

test/transform/selecttransform.jl

@@ -58,11 +58,11 @@
     tx_col = transform(SEKernel(), SelectTransform([1, 3]))
     ta_col = transform(SEKernel(), SelectTransform([:x, :z]))
 
-    @test kernelmatrix(tx_row, X; obsdim=2) == kernelmatrix(ta_row, A; obsdim=2)
-    @test kernelmatrix(tx_col, X; obsdim=1) == kernelmatrix(ta_col, A; obsdim=1)
+    @test kernelmatrix(tx_row, X; obsdim=2) ≈ kernelmatrix(ta_row, A; obsdim=2)
+    @test kernelmatrix(tx_col, X; obsdim=1) ≈ kernelmatrix(ta_col, A; obsdim=1)
 
-    @test kernelmatrix(tx_row, X, Y; obsdim=2) == kernelmatrix(ta_row, A, B; obsdim=2)
-    @test kernelmatrix(tx_col, X, Z; obsdim=1) == kernelmatrix(ta_col, A, C; obsdim=1)
+    @test kernelmatrix(tx_row, X, Y; obsdim=2) ≈ kernelmatrix(ta_row, A, B; obsdim=2)
+    @test kernelmatrix(tx_col, X, Z; obsdim=1) ≈ kernelmatrix(ta_col, A, C; obsdim=1)
 
     @testset "$(AD)" for AD in [:Zygote, :ForwardDiff]
         gx = gradient(AD, X) do x
@@ -71,28 +71,28 @@
         ga = gradient(AD, A) do a
             testfunction(ta_row, a, 2)
         end
-        @test gx == ga
+        @test gx ≈ ga
         gx = gradient(AD, X) do x
             testfunction(tx_col, x, 1)
         end
         ga = gradient(AD, A) do a
             testfunction(ta_col, a, 1)
         end
-        @test gx == ga
+        @test gx ≈ ga
         gx = gradient(AD, X) do x
             testfunction(tx_row, x, Y, 2)
         end
         ga = gradient(AD, A) do a
             testfunction(ta_row, a, B, 2)
         end
-        @test gx == ga
+        @test gx ≈ ga
         gx = gradient(AD, X) do x
             testfunction(tx_col, x, Z, 1)
         end
         ga = gradient(AD, A) do a
             testfunction(ta_col, a, C, 1)
         end
-        @test gx == ga
+        @test gx ≈ ga
     end
 
     @testset "$(AD)" for AD in [:ReverseDiff]