diff --git a/.github/workflows/test_branches.yml b/.github/workflows/test_branches.yml index a4f2f8128e9..92c47b2d64b 100644 --- a/.github/workflows/test_branches.yml +++ b/.github/workflows/test_branches.yml @@ -519,7 +519,7 @@ jobs: $BARON_DIR = "${env:TPL_DIR}/baron" echo "$BARON_DIR" | ` Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append - $URL = "https://minlp.com/downloads/xecs/baron/current/" + $URL = "https://minlp-downloads.nyc3.cdn.digitaloceanspaces.com/xecs/baron/current/" if ( "${{matrix.TARGET}}" -eq "win" ) { $INSTALLER = "${env:DOWNLOAD_DIR}/baron_install.exe" $URL += "baron-win64.exe" diff --git a/.github/workflows/test_pr_and_main.yml b/.github/workflows/test_pr_and_main.yml index 1aefe02687b..34efa4a029b 100644 --- a/.github/workflows/test_pr_and_main.yml +++ b/.github/workflows/test_pr_and_main.yml @@ -547,7 +547,7 @@ jobs: $BARON_DIR = "${env:TPL_DIR}/baron" echo "$BARON_DIR" | ` Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append - $URL = "https://minlp.com/downloads/xecs/baron/current/" + $URL = "https://minlp-downloads.nyc3.cdn.digitaloceanspaces.com/xecs/baron/current/" if ( "${{matrix.TARGET}}" -eq "win" ) { $INSTALLER = "${env:DOWNLOAD_DIR}/baron_install.exe" $URL += "baron-win64.exe" @@ -698,6 +698,7 @@ jobs: uses: actions/upload-artifact@v4 with: name: ${{github.job}}_${{env.GHA_JOBGROUP}}-${{env.GHA_JOBNAME}} + include-hidden-files: true path: | .coverage coverage.xml diff --git a/examples/doc/samples/case_studies/diet/DietProblem.tex b/examples/doc/samples/case_studies/diet/DietProblem.tex index d933e097d88..e2ae7ba4c62 100644 --- a/examples/doc/samples/case_studies/diet/DietProblem.tex +++ b/examples/doc/samples/case_studies/diet/DietProblem.tex @@ -54,7 +54,7 @@ \subsection*{Build the model} The comma indicates that this parameter is over two different sets, and thus is in two dimensions. When we create the data file, we will be able to fill in how much of each nutrient each food contains. -At this point we have defined our sets and parameters. However, we have yet to cosnider the amount of food to be bought and eaten. This is the variable weâre trying to solve for, and thus we create an object of the variable class. Since this is just recording how much food to purchase, we create a one dimensional variable over food: +At this point we have defined our sets and parameters. However, we have yet to consider the amount of food to be bought and eaten. This is the variable weâre trying to solve for, and thus we create an object of the variable class. Since this is just recording how much food to purchase, we create a one dimensional variable over food: \begin{verbatim}model.amount=Var(model.foods, within = NonNegativeReals) \end{verbatim} diff --git a/examples/doc/samples/case_studies/diet/README.txt b/examples/doc/samples/case_studies/diet/README.txt index c30e963dc27..c382b4d653c 100644 --- a/examples/doc/samples/case_studies/diet/README.txt +++ b/examples/doc/samples/case_studies/diet/README.txt @@ -68,7 +68,7 @@ model.nutrient_value=Param(model.nutrients, model.foods) The comma indicates that this parameter is over two different sets, and thus is in two dimensions. When we create the data file, we will be able to fill in how much of each nutrient each food contains. -At this point we have defined our sets and parameters. However, we have yet to cosnider the amount of food to be bought and eaten. This is the variable we're trying to solve for, and thus we create an object of the variable class. Since this is just recording how much food to purchase, we create a one dimensional variable over food: +At this point we have defined our sets and parameters. However, we have yet to consider the amount of food to be bought and eaten. This is the variable we're trying to solve for, and thus we create an object of the variable class. Since this is just recording how much food to purchase, we create a one dimensional variable over food: {{{ #!python