Deprecate remaining not-zero-preserving vectorized methods over SparseVectors.

Author: Sacha0

base/deprecated.jl

@@ -1577,6 +1577,14 @@ for op in (:floor, :ceil, :trunc, :round,
         :sinh,  :tanh,   :asinh,  :atanh)
     @eval @deprecate ($op)(x::AbstractSparseVector{<:Number,<:Integer}) ($op).(x)
 end
+# deprecate remaining vectorized methods over SparseVectors (not-zero-preserving)
+for op in (:exp, :exp2, :exp10, :log, :log2, :log10,
+        :cos, :cosd, :acos, :cosh, :cospi,
+        :csc, :cscd, :acot, :csch, :acsch,
+        :cot, :cotd, :acosd, :coth,
+        :sec, :secd, :acotd, :sech, :asech)
+    @eval @deprecate ($op)(x::AbstractSparseVector{<:Number,<:Integer}) ($op).(x)
+end
 
 # PR #22182
 @deprecate is_apple   Sys.isapple

base/sparse/sparsevector.jl

@@ -1083,16 +1083,6 @@ macro unarymap_z2nz(op, TF)
     end)
 end
 
-for op in [:exp, :exp2, :exp10, :log, :log2, :log10,
-           :cos, :csc, :cot, :sec, :cospi,
-           :cosd, :cscd, :cotd, :secd,
-           :acos, :acot, :acosd, :acotd,
-           :cosh, :csch, :coth, :sech,
-           :acsch, :asech]
-    @eval @unarymap_z2nz $(op) Number
-end
-
-
 ### Binary Map
 
 # mode:

test/sparse/sparsevector.jl

@@ -677,20 +677,18 @@ end
 
 ### Non-zero-preserving math functions: sparse -> dense
 
-function check_z2nz(f::Function, x::SparseVector{T}, xf::Vector{T}) where T
-    R = typeof(f(zero(T)))
-    r = f(x)
-    isa(r, Vector) || error("$f(x) is not a dense vector.")
-    eltype(r) == R || error("$f(x) results in eltype = $(eltype(r)), expect $R")
-    r == f.(xf) || error("Incorrect results found in $f(x).")
-end
-
-for f in [exp, exp2, exp10, log, log2, log10,
-          cos, csc, cot, sec, cospi,
-          cosd, cscd, cotd, secd,
-          acos, acot, acosd, acotd,
-          cosh, csch, coth, sech, acsch, asech]
-    check_z2nz(f, rnd_x0, rnd_x0f)
+for op in (exp, exp2, exp10, log, log2, log10,
+        cos, cosd, acos, cosh, cospi,
+        csc, cscd, acot, csch, acsch,
+        cot, cotd, acosd, coth,
+        sec, secd, acotd, sech, asech)
+    spvec = rnd_x0
+    densevec = rnd_x0f
+    spresvec = op.(spvec)
+    @test spresvec == op.(densevec)
+    resvaltype = typeof(op(zero(eltype(spvec))))
+    resindtype = Base.SparseArrays.indtype(spvec)
+    @test isa(spresvec, SparseVector{resvaltype,resindtype})
 end