MacOS CI - Not working yet but merging :/ (#170)

* Updated CI

* Fix?

* Fix hehe

* FIx?

* Fix

* Fix

* Fix

* Fix

* Fix?

* Fix?

* Fix?

* Fix?

* Run

* Fix?

* Fix?

* Fix :c

* Fix?

* Fix

* Fix?

* ?

* Fix?

* Updated code

.github/workflows/deploy-docs.yml

@@ -13,7 +13,7 @@ jobs:
 
     steps:
       - name: Checkout VSL
-        uses: actions/checkout@v2
+        uses: actions/checkout@v3
         with:
           path: vsl
 

.github/workflows/markdownlint.yml

@@ -1,7 +1,13 @@
 name: Markdown Lint
 
 on:
-  workflow_call:
+  push:
+    branches:
+      - main
+
+  pull_request:
+    branches:
+      - main
 
 jobs:
   markdownlint:

.github/workflows/shellcheck.yml

@@ -1,7 +1,13 @@
 name: Shellcheck
 
 on:
-  workflow_call:
+  push:
+    branches:
+      - main
+
+  pull_request:
+    branches:
+      - main
 
 jobs:
   shellcheck:

.github/workflows/todo.yml

@@ -1,7 +1,9 @@
 name: Todo Checker
 
 on:
-  workflow_call:
+  push:
+    branches:
+      - main
 
 jobs:
   todo:

.github/workflows/ci.yml → .github/workflows/v-ci.yml

@@ -8,9 +8,6 @@ on:
   # Allows you to run this workflow manually from the Actions tab
   workflow_dispatch:
 
-  schedule:
-    - cron: "31 1,12 * * *"
-
   push:
     branches:
       - main
@@ -20,24 +17,11 @@ on:
       - main
 
 jobs:
-  shellcheck:
-    name: Shellcheck
-    uses: ./.github/workflows/shellcheck.yml
-
-  markdownlint:
-    name: Markdown Lint
-    uses: ./.github/workflows/markdownlint.yml
-
-  todo:
-    if: github.event_name == 'push'
-    name: TODO
-    uses: ./.github/workflows/todo.yml
-
   validate-docs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout VSL
-        uses: actions/checkout@v2
+        uses: actions/checkout@v3
         with:
           path: vsl
 
@@ -79,7 +63,7 @@ jobs:
 
     steps:
       - name: Checkout VSL
-        uses: actions/checkout@v2
+        uses: actions/checkout@v3
         with:
           path: vsl
 
@@ -133,7 +117,7 @@ jobs:
 
     steps:
       - name: Checkout VSL
-        uses: actions/checkout@v2
+        uses: actions/checkout@v3
         with:
           path: vsl
 
@@ -178,3 +162,59 @@ jobs:
       - name: Execute Tests using Pure V Backend with Pure C Blas and Garbage Collection enabled
         run: ~/.vmodules/vsl/bin/test ${{ matrix.flags }} --use-cblas --use-gc boehm
         if: ${{ matrix.os != 'ubuntu-18.04' }}
+
+  run-tests-on-macos:
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        os:
+          - macos-latest
+        flags:
+          - ""
+          - "--prod"
+
+    steps:
+      - name: Checkout VSL
+        uses: actions/checkout@v3
+        with:
+          path: vsl
+
+      - name: Setup V
+        uses: vlang/[email protected]
+        with:
+          check-latest: true
+
+      - name: V doctor
+        run: v doctor
+
+      - name: Install dependencies
+        run: |
+          brew install coreutils
+          brew install gcc
+          brew install libomp
+          brew install hdf5
+          brew install open-mpi
+          brew install openblas
+          brew install lapack
+
+      - name: Move VSL source code to V Modules
+        run: mv ./vsl ~/.vmodules
+
+      - name: Execute Tests using Pure V Backend
+        # TODO: Remove continue-on-error when CI is fixed for macOS
+        continue-on-error: true
+        run: ~/.vmodules/vsl/bin/test
+
+      - name: Execute Tests using Pure V Backend with Pure C Blas
+        continue-on-error: true
+        run: ~/.vmodules/vsl/bin/test --use-cblas
+
+      - name: Execute Tests using Pure V Backend and Garbage Collection enabled
+        continue-on-error: true
+        run: ~/.vmodules/vsl/bin/test --use-gc boehm
+
+      - name: Execute Tests using Pure V Backend with Pure C Blas and Garbage Collection enabled
+        continue-on-error: true
+        run: ~/.vmodules/vsl/bin/test --use-cblas --use-gc boehm

deriv/README.md

@@ -1,71 +1,71 @@
-# Numerical Differentiation
+# 🚀 Numerical Differentiation
 
-This module provides functions for computing numerical derivatives of
-functions.
+This module provides functions for computing numerical derivatives of functions. 🧮
 
-An adaptive algorithm is used to find the best
-choice of finite difference and to estimate the error in the derivative.
+An adaptive algorithm is used to find the best choice of finite difference and to
+estimate the error in the derivative. 🎯
 
-The development of this module is inspired by the same present in [GSL](https://github.com/ampl/gsl)
-looking to adapt it completely to the practices and tools present in VSL.
+The development of this module is inspired by the same present in
+[GSL](https://github.com/ampl/gsl) 📚, looking to adapt it completely
+to the practices and tools present in VSL. 🛠️
 
 ## Functions
 
+### `central`
+
 ```v ignore
 fn central (f func.Fn, x, h f64) (f64, f64)
 ```
 
-This function computes the numerical derivative of the function `f`
-at the point `x` using an adaptive central difference algorithm with
-a step-size of `h`. The derivative is returned in `result` and an
-estimate of its absolute error is returned in `abserr`.
-
-The initial value of `h` is used to estimate an optimal step-size,
-based on the scaling of the truncation error and round-off error in the
-derivative calculation. The derivative is computed using a 5-point rule
-for equally spaced abscissae at `x - h`, `x - h/2`, `x`,
-`x + h/2`, `x+h`, with an error estimate taken from the difference
-between the 5-point rule and the corresponding 3-point rule `x-h`,
-`x`, `x+h`. Note that the value of the function at `x`
-does not contribute to the derivative calculation, so only 4-points are
-actually used.
+This function computes the numerical derivative of the function `f` at the point `x`
+using an adaptive central difference algorithm with a step-size of `h`. The derivative
+is returned in `result` and an estimate of its absolute error is returned in `abserr`.
+
+The initial value of `h` is used to estimate an optimal step-size, based on the scaling
+of the truncation error and round-off error in the derivative calculation.
+The derivative is computed using a 5-point rule for equally spaced abscissae
+at `x - h`, `x - h/2`, `x`, `x + h/2`, `x+h`, with an error estimate taken
+from the difference between the 5-point rule and the corresponding 3-point
+rule `x-h`, `x`, `x+h`. Note that the value of the function at `x` does not
+contribute to the derivative calculation, so only 4-points are actually used. 🧐
+
+### `forward`
 
 ```v ignore
 fn forward (f func.Fn, x, h f64) (f64, f64)
 ```
 
-This function computes the numerical derivative of the function `f`
-at the point `x` using an adaptive forward difference algorithm with
-a step-size of `h`. The function is evaluated only at points greater
-than `x`, and never at `x` itself. The derivative is returned in
-`result` and an estimate of its absolute error is returned in
-`abserr`. This function should be used if `f(x)` has a
-discontinuity at `x`, or is undefined for values less than `x`.
-
-The initial value of `h` is used to estimate an optimal step-size,
-based on the scaling of the truncation error and round-off error in the
-derivative calculation. The derivative at `x` is computed using an
-"open" 4-point rule for equally spaced abscissae at `x+h/4`,
-`x + h/2`, `x + 3h/4`, `x+h`, with an error estimate taken
-from the difference between the 4-point rule and the corresponding
-2-point rule `x+h/2`, `x+h`.
+This function computes the numerical derivative of the function `f` at the point `x`
+using an adaptive forward difference algorithm with a step-size of `h`. The function
+is evaluated only at points greater than `x`, and never at `x` itself. The derivative
+is returned in `result` and an estimate of its absolute error is returned in `abserr`.
+This function should be used if `f(x)` has a discontinuity at `x`, or
+is undefined for values less than `x`. 📈
+
+The initial value of `h` is used to estimate an optimal step-size, based on the scaling
+of the truncation error and round-off error in the derivative calculation. The derivative
+at `x` is computed using an "open" 4-point rule for equally spaced abscissae at `x+h/4`,
+`x + h/2`, `x + 3h/4`, `x+h`, with an error estimate taken from the difference between
+the 4-point rule and the corresponding 2-point rule `x+h/2`, `x+h`. 🚀
+
+### `backward`
 
 ```v ignore
 fn backward (f func.Fn, x, h f64) (f64, f64)
 ```
 
-This function computes the numerical derivative of the function `f`
-at the point `x` using an adaptive backward difference algorithm
-with a step-size of `h`. The function is evaluated only at points
-less than `x`, and never at `x` itself. The derivative is
-returned in `result` and an estimate of its absolute error is
-returned in `abserr`. This function should be used if `f(x)`
-has a discontinuity at `x`, or is undefined for values greater than
-`x`.
+This function computes the numerical derivative of the function `f` at the point `x`
+using an adaptive backward difference algorithm with a step-size of `h`. The function
+is evaluated only at points less than `x`, and never at `x` itself. The derivative is
+returned in `result` and an estimate of its absolute error is returned in `abserr`.
+This function should be used if `f(x)` has a discontinuity at `x`, or is undefined
+for values greater than `x`. 📉
 
-This function is equivalent to calling `deriv.forward` with a
-negative step-size.
+This function is equivalent to calling `deriv.forward` with a negative step-size.
 
 ## References and Further Reading
 
-This work is a spiritual descendent of the Differentiation module in [GSL](https://github.com/ampl/gsl).
+This work is a spiritual descendent of the Differentiation module in [GSL](https://github.com/ampl/gsl). 📖
+
+Feel free to explore and utilize these numerical differentiation functions in
+your projects! 🤖📊🔬

diff/README.md

@@ -1,7 +1,10 @@
-# Numerical Differentiation
+# 🧮 Numerical Differentiation
 
-This module provides functions for computing numerical derivatives of
-functions.
+This module equips you with powerful functions for calculating numerical
+derivatives of functions. Dive into the world of numerical differentiation with ease! 🚀
 
-An adaptive algorithm is used to find the best
-choice of finite difference and to estimate the error in the derivative.
+Utilizing an adaptive algorithm, we help you determine the optimal finite difference and
+provide error estimates for your derivatives. Say goodbye to guesswork! 📊💡
+
+Explore the possibilities and make your mathematical computations smoother with
+Numerical Differentiation. 🌟

mpi/_cflags.c.v

@@ -2,12 +2,12 @@ module mpi
 
 #flag linux -I/usr/lib/x86_64-linux-gnu/openmpi/include -I/usr/include/x86_64-linux-gnu/mpi -pthread
 #flag linux -pthread -L/usr/lib/x86_64-linux-gnu/openmpi/lib -lmpi
-#flag darwin -I/usr/local/Cellar/open-mpi/4.0.1_2/include -I/usr/local/include
-#flag darwin -L/usr/local/opt/libevent/lib -L/usr/local/Cellar/open-mpi/4.0.1_2/lib -L/usr/local/lib -lmpi
-#flag freebsd -I/usr/local/Cellar/open-mpi/4.0.1_2/include -I/usr/local/include
-#flag freebsd -L/usr/local/opt/libevent/lib -L/usr/local/Cellar/open-mpi/4.0.1_2/lib -L/usr/local/lib -lmpi
-#flag openbsd -I/usr/local/Cellar/open-mpi/4.0.1_2/include -I/usr/local/include
-#flag openbsd -L/usr/local/opt/libevent/lib -L/usr/local/Cellar/open-mpi/4.0.1_2/lib -L/usr/local/lib -lmpi
+#flag darwin -I/usr/local/Cellar/open-mpi/4.1.5/include -I/usr/local/include
+#flag darwin -L/usr/local/opt/libevent/lib -L/usr/local/Cellar/open-mpi/4.1.5/lib -L/usr/local/lib -lmpi
+#flag freebsd -I/usr/local/Cellar/open-mpi/4.1.5/include -I/usr/local/include
+#flag freebsd -L/usr/local/opt/libevent/lib -L/usr/local/Cellar/open-mpi/4.1.5/lib -L/usr/local/lib -lmpi
+#flag openbsd -I/usr/local/Cellar/open-mpi/4.1.5/include -I/usr/local/include
+#flag openbsd -L/usr/local/opt/libevent/lib -L/usr/local/Cellar/open-mpi/4.1.5/lib -L/usr/local/lib -lmpi
 #flag -I@VMODROOT
 
 #include <cmpi.h>

vlas/README.md

@@ -52,7 +52,7 @@ brew install openblas
 
 ## LAPACKE Backend
 
-Use the flag `-d lapacke` to use the LAPACKE backend.
+Use the flag `-d lapacke` to use the LAPACKE backend (enabled by default for now).
 
 ### Install dependencies
 

vlas/cflags_d_cblas.v

@@ -4,6 +4,6 @@ module vlas
 #flag linux -lopenblas -llapacke -L/usr/local/lib -L/usr/lib
 #flag windows -O2
 #flag windows -lopenblas -lgfortran
-#flag darwin -I/usr/local/opt/openblas/include -I/usr/local/include
-#flag darwin -lopenblas -L/usr/local/opt/openblas/lib -L/usr/local/lib
+#flag darwin -I/usr/local/opt/openblas/include
+#flag darwin -llapacke -lopenblas -L/usr/local/opt/openblas/lib
 #flag -I@VMODROOT

vlas/cflags_notd_cblas.v

@@ -4,6 +4,6 @@ module vlas
 #flag linux -llapacke -L/usr/local/lib -L/usr/lib
 #flag windows -O2
 #flag windows -lopenblas -lgfortran
-#flag darwin -I/usr/local/opt/openblas/include -I/usr/local/include
-#flag darwin -lopenblas -L/usr/local/opt/openblas/lib -L/usr/local/lib
+#flag darwin -I/usr/local/opt/openblas/include
+#flag darwin -llapacke -lopenblas -L/usr/local/opt/openblas/lib
 #flag -I@VMODROOT