test

.github/workflows/CI.yml

@@ -16,21 +16,21 @@ on:
       - Project.toml
 jobs:
   test:
-    name: Julia ${{ matrix.julia-version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
+    name: Julia ${{ matrix.julia-version }} - ${{ matrix.os }} - ${{ matrix.julia-arch }} - ${{ github.event_name }}
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false
       matrix:
         os: [windows-latest, macos-latest]
-        julia-version: ['1.10', 'lts']
-        arch:
-          - x64
+        julia-arch: [x64]
+        julia-version: ['1.10','1.11','1.12', 'lts']
+
     steps:
       - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@v2
         with:
           version: ${{ matrix.julia-version }}
-          arch: ${{ matrix.arch }}
+          arch: ${{ matrix.julia-arch }}
       - uses: actions/cache@v4
         env:
           cache-name: cache-artifacts
@@ -45,7 +45,7 @@ jobs:
             ${{ runner.os }}-
       - uses: julia-actions/julia-buildpkg@v1
       - name: Resolve/Update dependencies
-        run: julia -e 'using Pkg; Pkg.resolve()' # Or Pkg.update()
+        run: julia -e 'using Pkg; Pkg.activate("."); Pkg.instantiate(); Pkg.update();' # Or Pkg.update()
       - uses: julia-actions/julia-runtest@v1
         with:
           annotate: true

Project.toml

@@ -3,6 +3,9 @@ uuid = "c853eca7-4467-4dac-871a-88cef1644acc"
 version = "1.0.0"
 authors = []
 
+[workspace]
+projects = ["test", "docs"]
+
 [deps]
 AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
 FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
@@ -17,24 +20,23 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [weakdeps]
-AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
-FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
-[extras]
-Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40" # UUID for the standard library Test
-AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
-
 [compat]
 AbstractFFTs = "1"
 FFTW = "1"
 FileIO = "1"
 ImageIO = "0.6"
 ImageMagick = "1"
 Images = "0.26"
-MAT = "0.10, 0.11"
+MAT = "0.10"
 Plots = "1"
 Statistics = "1"
 
+[extras]
+AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
+FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
 [targets]
 test = ["Test", "FFTW", "AbstractFFTs"]

docs/Project.toml

@@ -0,0 +1,2 @@
+[deps]
+Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"

docs/make.jl

@@ -0,0 +1,26 @@
+using Documenter, PolyharmonicTrigTransforms
+
+makedocs(
+ sitename="PolyharmonicTrigTransforms.jl",
+    format = Documenter.HTML(collapselevel = 1),
+    authors = "",
+    clean = true,
+    pages = [
+        "Home" => "index.md",
+        "Examples" => [
+            "LLST" => "examples/llst.md",
+        ],
+        "Functions" => [
+            "DST" => "docs/dst.md",
+            "Utils" => "functions/Utils.md",
+        ],
+    ]
+)
+
+
+# Documenter can also automatically deploy documentation to gh-pages.
+# See "Hosting Documentation" and deploydocs() in the Documenter manual
+# for more information.
+deploydocs(
+    repo = "github.com/UCD4IDS/PolyharmonicTrigTransforms.jl.git"
+)

docs/src/dst.md

@@ -0,0 +1,28 @@
+For Intel might need to run for MKL 
+FFTW.set_provider!("mkl")
+# DST Discrete Sine Transform.
+Computes the type I discrete sine transform of 'x'.  If 'n' is given, 
+then 'x' is padded or trimmed to length 'n' before computing the 
+transform. If 'x' is a matrix, compute the transform along the columns of 
+the matrix.
+
+The discrete sine transform X of x can be defined as follows:
+`NX[k] = sum x[n] sin (pi n k / (N+1)),  k = 1, ..., N
+    n=1
+`
+Syntax:
+y = DST(x)
+y = DST(x, n)
+
+Inputs:
+x - vector to be transformed
+n - length of tranform to perform
+
+Outputs:  
+y - tranformed vector
+
+Author:
+Jason Hee Yoon (2022)
+Shuchen Ye (2022)
+
+See also: IDST

docs/src/idst.md

@@ -0,0 +1,28 @@
+For Intel might need to run for MKL 
+FFTW.set_provider!("mkl")
+# DST Discrete Sine Transform.
+Computes the type I discrete sine transform of 'x'.  If 'n' is given, 
+then 'x' is padded or trimmed to length 'n' before computing the 
+transform. If 'x' is a matrix, compute the transform along the columns of 
+the matrix.
+
+The discrete sine transform X of x can be defined as follows:
+`NX[k] = sum x[n] sin (pi n k / (N+1)),  k = 1, ..., N
+    n=1
+`
+Syntax:
+y = DST(x)
+y = DST(x, n)
+
+Inputs:
+x - vector to be transformed
+n - length of tranform to perform
+
+Outputs:  
+y - tranformed vector
+
+Author:
+Jason Hee Yoon (2022)
+Shuchen Ye (2022)
+
+See also: IDST

docs/src/llst.md

@@ -0,0 +1,28 @@
+llFor Intel might need to run for MKL 
+FFTW.set_provider!("mkl")
+# DST Discrete Sine Transform.
+Computes the type I discrete sine transform of 'x'.  If 'n' is given, 
+then 'x' is padded or trimmed to length 'n' before computing the 
+transform. If 'x' is a matrix, compute the transform along the columns of 
+the matrix.
+
+The discrete sine transform X of x can be defined as follows:
+`NX[k] = sum x[n] sin (pi n k / (N+1)),  k = 1, ..., N
+    n=1
+`
+Syntax:
+y = DST(x)
+y = DST(x, n)
+
+Inputs:
+x - vector to be transformed
+n - length of tranform to perform
+
+Outputs:  
+y - tranformed vector
+
+Author:
+Jason Hee Yoon (2022)
+Shuchen Ye (2022)
+
+See also: IDST