FastTransforms v0.10 (#40)

* Update Project.toml

* Updarte for FastTransforms v0.10

* Update Project.toml

* Update Project.toml

* Update Project.toml

Author: dlfivefifty

Project.toml

@@ -13,23 +13,25 @@ FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
 FastGaussQuadrature = "442a2c76-b920-505d-bb47-c5924d526838"
 FastTransforms = "057dd010-8810-581a-b7be-e3fc3b93f78c"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
+InfiniteArrays = "4858937d-0d70-526a-a4dd-2d5cb5dd786c"
 IntervalSets = "8197267c-284f-5f27-9208-e0e47529a953"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+LowRankApprox = "898213cb-b102-5a47-900c-97e73b919f73"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 AbstractFFTs = "0.5"
-ApproxFunBase = "0.2, 0.3"
+ApproxFunBase = "0.3.6"
 BandedMatrices = "0.14, 0.15"
 BlockArrays = "0.12.11"
-BlockBandedMatrices = "0.6, 0.7.1, 0.8"
+BlockBandedMatrices = "0.6, 0.7.1, 0.8, 0.9"
 DomainSets = "0.3, 0.4"
 FFTW = "1.1"
 FastGaussQuadrature = "0.4"
-FastTransforms = "0.8, 0.9"
-FillArrays = "0.8, 0.9"
+FastTransforms = "0.10"
+FillArrays = "0.8, 0.9.4"
 IntervalSets = "0.5"
 Reexport = "0.2"
 SpecialFunctions = "0.8, 0.9, 0.10"

appveyor.yml

@@ -1,7 +1,7 @@
 environment:
   matrix:
   - julia_version: 1.3
-  - julia_version: 1.4
+  - julia_version: 1.5
   - julia_version: nightly
 
 platform:

src/ApproxFunOrthogonalPolynomials.jl

@@ -93,8 +93,8 @@ import SpecialFunctions: sinpi, cospi, airy, besselh,
                     abs, sign, log, expm1, tan, abs2, sqrt, angle, max, min, cbrt, log,
                     atan, acos, asin, erfc, inv
 
-points(d::IntervalOrSegmentDomain{T},n::Integer; kind::Int=1) where {T} =
-    fromcanonical.(Ref(d), chebyshevpoints(float(real(eltype(T))), n; kind=kind))  # eltype to handle point
+points(d::IntervalOrSegmentDomain{T},n::Integer) where {T} =
+    fromcanonical.(Ref(d), chebyshevpoints(float(real(eltype(T))), n))  # eltype to handle point
 bary(v::AbstractVector{Float64},d::IntervalOrSegmentDomain,x::Float64) = bary(v,tocanonical(d,x))
 
 include("bary.jl")

src/bary.jl

@@ -30,7 +30,7 @@ function bary(v::AbstractVector{Float64},pts::AbstractVector{Float64},x::Float64
 end
 
 
-bary(v::AbstractVector{Float64},x::Float64)=bary(v,chebyshevpoints(length(v);kind=2),x)
+bary(v::AbstractVector{Float64},x::Float64)=bary(v,chebyshevpoints(length(v), Val(2)),x)
 
 function randomadaptivebary(f::Function)
   r=rand()
@@ -44,7 +44,7 @@ function randomadaptivebary(f::Function)
 
   while err > tol
       n=2^logn + 1
-      pts=chebyshevpoints(n;kind=2)
+      pts=chebyshevpoints(n, Val(2))
       vals=f(pts)
       err=abs(bary(vals,pts,r)-fr)/n
       logn+=1