chore: run formatter

Author: avik-pal

test/ops.jl

@@ -248,17 +248,17 @@ end
     @test exp.(Array(x)) ≈ @jit Ops.exponential(x)
 
     x = Reactant.to_rarray([1.0 + 2.0im, 3.0 + 4.0im, 5.0 + 6.0im, 7.0 + 8.0im])
-    @test exp.(Array(x)) ≈
-        @jit(Ops.exponential(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test exp.(Array(x)) ≈ @jit(Ops.exponential(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "exponential_minus_one" begin
     x = Reactant.to_rarray([1.0, 2.0, 3.0, 4.0])
     @test expm1.(Array(x)) ≈ @jit Ops.exponential_minus_one(x)
 
     x = Reactant.to_rarray([1.0 + 2.0im, 3.0 + 4.0im, 5.0 + 6.0im, 7.0 + 8.0im])
-    @test expm1.(Array(x)) ≈
-        @jit(Ops.exponential_minus_one(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test expm1.(Array(x)) ≈ @jit(Ops.exponential_minus_one(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "fft" begin
@@ -416,8 +416,8 @@ end
     @test [1.0, 0.0, -1.0, -10.0] ≈ @jit Ops.negate(x)
 
     x = Reactant.to_rarray([-1.0 + 2im, 0.0 - 3im, 1.0 + 4im, 10.0 - 5im])
-    @test [1.0 - 2im, 0.0 + 3im, -1.0 - 4im, -10.0 + 5im] ≈
-        @jit(Ops.negate(x)) broken = RunningOnTPU
+    @test [1.0 - 2im, 0.0 + 3im, -1.0 - 4im, -10.0 + 5im] ≈ @jit(Ops.negate(x)) broken =
+        RunningOnTPU
 end
 
 @testset "not" begin
@@ -489,8 +489,8 @@ end
 
     x = Reactant.to_rarray([0.0 + 1.0im, 0.0 + 1.0im, 0.0 + 1.0im, 0.0 + 1.0im])
     p = Reactant.to_rarray([0.0 + 0.0im, 1.0 + 0.0im, 2.0 + 0.0im, 3.0 + 0.0im])
-    @test Array(x) .^ Array(p) ≈
-        @jit(Ops.power(x, p)) broken = RunningOnTPU || RunningOnAppleX86
+    @test Array(x) .^ Array(p) ≈ @jit(Ops.power(x, p)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "real" begin
@@ -607,8 +607,8 @@ end
     @test 1 ./ sqrt.(Array(x)) ≈ @jit Ops.rsqrt(x)
 
     x = Reactant.to_rarray([1.0+1im 4.0+2im; 9.0+3im 25.0+4im])
-    @test 1 ./ sqrt.(Array(x)) ≈
-        @jit(Ops.rsqrt(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test 1 ./ sqrt.(Array(x)) ≈ @jit(Ops.rsqrt(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "select" begin
@@ -717,8 +717,8 @@ end
     @test [1.0, 2.0, 3.0, 4.0] ≈ @jit Ops.sqrt(x)
 
     x = Reactant.to_rarray([1.0 + 0im, 0.0 + 1im])
-    @test [1.0 + 0im, 1 / √2 * (1 + im)] ≈
-        @jit(Ops.sqrt(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test [1.0 + 0im, 1 / √2 * (1 + im)] ≈ @jit(Ops.sqrt(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "subtract" begin
@@ -743,23 +743,23 @@ end
     # TODO tan(π/2) is Inf but it returns 1.633123935319537e16
     x = Reactant.to_rarray([0, π / 4, π / 2, 3π / 4, π])
 
-    @test [0.0, 1.0, 1.633123935319537e16, -1.0, 0.0] ≈
-        @jit(Ops.tan(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test [0.0, 1.0, 1.633123935319537e16, -1.0, 0.0] ≈ @jit(Ops.tan(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 
     x = Reactant.to_rarray([
         0.0 + 0.0im, π / 4 + 0.0im, π / 2 + 0.0im, 3π / 4 + 0.0im, π + 0.0im
     ])
-    @test ComplexF64[0.0, 1.0, 1.633123935319537e16, -1.0, 0.0] ≈
-        @jit(Ops.tan(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test ComplexF64[0.0, 1.0, 1.633123935319537e16, -1.0, 0.0] ≈ @jit(Ops.tan(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "tanh" begin
     x = Reactant.to_rarray([-1.0, 0.0, 1.0])
     @test [-0.7615941559557649, 0.0, 0.7615941559557649] ≈ @jit Ops.tanh(x)
 
     x = Reactant.to_rarray(ComplexF64[-1.0, 0.0, 1.0])
-    @test ComplexF64[-0.7615941559557649, 0.0, 0.7615941559557649] ≈
-        @jit(Ops.tanh(x)) broken = RunningOnTPU || RunningOnAppleX86
+    @test ComplexF64[-0.7615941559557649, 0.0, 0.7615941559557649] ≈ @jit(Ops.tanh(x)) broken =
+        RunningOnTPU || RunningOnAppleX86
 end
 
 @testset "transpose" begin
@@ -908,8 +908,8 @@ end
 @testset "polygamma" begin
     x = Reactant.to_rarray([-1.0, 0.0, 1.0, 1.0, 2.5])
     m = Reactant.to_rarray([3.0, 3.0, 2.0, 3.0, 4.0])
-    @test SpecialFunctions.polygamma.(Int.(Array(m)), Array(x)) ≈
-        @jit(Ops.polygamma(m, x)) broken = RunningOnAppleX86
+    @test SpecialFunctions.polygamma.(Int.(Array(m)), Array(x)) ≈ @jit(Ops.polygamma(m, x)) broken =
+        RunningOnAppleX86
 end
 
 @testset "sinh" begin