CompatHelper: bump compat for FastTransforms to 0.15, (keep existing compat) (#230)

* CompatHelper: bump compat for FastTransforms to 0.15, (keep existing compat)

* bump version to v0.6.24

* remove FastTransforms warning

* lower cutoff FastTransforms at v0.15.1

---------

Co-authored-by: CompatHelper Julia <[email protected]>
Co-authored-by: Jishnu Bhattacharya <[email protected]>

Author: 3 people

Project.toml

@@ -1,6 +1,6 @@
 name = "ApproxFunOrthogonalPolynomials"
 uuid = "b70543e2-c0d9-56b8-a290-0d4d6d4de211"
-version = "0.6.23"
+version = "0.6.24"
 
 [deps]
 ApproxFunBase = "fbd15aa5-315a-5a7d-a8a4-24992e37be05"
@@ -28,7 +28,7 @@ BlockArrays = "0.14, 0.15, 0.16"
 BlockBandedMatrices = "0.10, 0.11"
 DomainSets = "0.5, 0.6"
 FastGaussQuadrature = "0.4, 0.5"
-FastTransforms = "0.12, 0.13, 0.14"
+FastTransforms = "0.12, 0.13, 0.14, 0.15.1"
 FillArrays = "0.11, 0.12, 0.13"
 IntervalSets = "0.5, 0.6, 0.7"
 LazyArrays = "0.22"

test/JacobiTest.jl

@@ -348,9 +348,6 @@ using Static
         h = Fun(g,Chebyshev())
         @test norm(coefficients(f) - coefficients(h), Inf) < 1000eps()
         @time j = Fun(h,Legendre())
-        # The accuracy in the following may be improved,
-        # See https://github.com/JuliaApproximation/FastTransforms.jl/issues/201
-        # On FastTransforms v0.15, an upper bound of 60000eps() works
         @test norm(coefficients(g) - coefficients(j), Inf) < 10000eps()
     end