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update BasisFunctions version
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daanhb committed Nov 19, 2024
1 parent 7f8d134 commit 2a386b6
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10 changes: 5 additions & 5 deletions Project.toml
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name = "FrameFun"
uuid = "bbafa164-4497-5d18-87cf-33e911f89480"
authors = ["daanhb,roelmatthysen,marcusdavidwebb,vincentcp"]
version = "0.5.7"
version = "0.5.8"

[deps]
BasisFunctions = "4343a256-5453-507d-8aad-01a9d7189916"
Expand Down Expand Up @@ -29,10 +29,10 @@ RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
FrameFunRecipesBaseExt = "RecipesBase"

[compat]
BasisFunctions = "0.6.5"
BasisFunctions = "0.7"
CompositeTypes = "0.1.3"
DomainSets = "0.7"
FillArrays = "0.13,1"
FillArrays = "1"
GenericFFT = "0.1.3"
GenericLinearAlgebra = "0.3"
GridArrays = "0.2.2"
Expand All @@ -41,9 +41,9 @@ MacroTools = "0.5"
QuadGK = "2.4"
RecipesBase = "1.0"
Reexport = "1.0"
SpecialFunctions = "1.0, 2.0"
SpecialFunctions = "2.0"
StaticArrays = "1.4"
julia = "1.9"
julia = "1.10"

[extras]
Calculus = "49dc2e85-a5d0-5ad3-a950-438e2897f1b9"
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10 changes: 5 additions & 5 deletions README.md
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# FrameFun.jl

*Exploring practical possibilities of approximating functions using redundant sets such as frames, rather than with a basis. The package is heavily inspired by the Chebfun project and the Julia package ApproxFun.*


| **Build Status** | **Coverage** |
|------------------|--------------|
| [![Build Status](https://github.com/JuliaApproximation/FrameFun.jl/workflows/CI/badge.svg?branch=master)](https://github.com/JuliaApproximation/FrameFun.jl/actions/workflows/CI.yml) | [![Coverage](https://codecov.io/gh/JuliaApproximation/FrameFun.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaApproximation/FrameFun.jl)

FrameFun
========
| [![Build Status](https://github.com/JuliaApproximation/FrameFun.jl/workflows/CI/badge.svg)](https://github.com/JuliaApproximation/FrameFun.jl/actions/workflows/CI.yml) | [![Coverage](https://codecov.io/gh/JuliaApproximation/FrameFun.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaApproximation/FrameFun.jl)

Exploring practical possibilities of approximating functions with frames rather than with a basis. The package is heavily inspired by the Chebfun project and the Julia package ApproxFun.


```julia
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