diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 700707ced3..6752f1c9b3 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -5,3 +5,6 @@ updates: directory: "/" # Location of package manifests schedule: interval: "weekly" + ignore: + - dependency-name: "crate-ci/typos" + update-types: ["version-update:semver-patch"] diff --git a/.github/workflows/SpellCheck.yml b/.github/workflows/SpellCheck.yml index f2e26c07fb..254586d964 100644 --- a/.github/workflows/SpellCheck.yml +++ b/.github/workflows/SpellCheck.yml @@ -10,4 +10,4 @@ jobs: - name: Checkout Actions Repository uses: actions/checkout@v4 - name: Check spelling - uses: crate-ci/typos@v1.22.3 \ No newline at end of file + uses: crate-ci/typos@v1.22.9 \ No newline at end of file diff --git a/docs/src/examples/nonlinear_elliptic.md b/docs/src/examples/nonlinear_elliptic.md index 155330b2bc..d7f8a58579 100644 --- a/docs/src/examples/nonlinear_elliptic.md +++ b/docs/src/examples/nonlinear_elliptic.md @@ -89,7 +89,7 @@ sym_prob = NeuralPDE.symbolic_discretize(pdesystem, discretization) pde_inner_loss_functions = sym_prob.loss_functions.pde_loss_functions bcs_inner_loss_functions = sym_prob.loss_functions.bc_loss_functions[1:6] -aprox_derivative_loss_functions = sym_prob.loss_functions.bc_loss_functions[7:end] +approx_derivative_loss_functions = sym_prob.loss_functions.bc_loss_functions[7:end] global iteration = 0 callback = function (p, l) @@ -97,7 +97,7 @@ callback = function (p, l) println("loss: ", l) println("pde_losses: ", map(l_ -> l_(p.u), pde_inner_loss_functions)) println("bcs_losses: ", map(l_ -> l_(p.u), bcs_inner_loss_functions)) - println("der_losses: ", map(l_ -> l_(p.u), aprox_derivative_loss_functions)) + println("der_losses: ", map(l_ -> l_(p.u), approx_derivative_loss_functions)) end global iteration += 1 return false diff --git a/docs/src/tutorials/constraints.md b/docs/src/tutorials/constraints.md index 0898fab116..e87e047ae3 100644 --- a/docs/src/tutorials/constraints.md +++ b/docs/src/tutorials/constraints.md @@ -74,7 +74,7 @@ sym_prob = NeuralPDE.symbolic_discretize(pdesystem, discretization) pde_inner_loss_functions = sym_prob.loss_functions.pde_loss_functions bcs_inner_loss_functions = sym_prob.loss_functions.bc_loss_functions -aprox_derivative_loss_functions = sym_prob.loss_functions.bc_loss_functions +approx_derivative_loss_functions = sym_prob.loss_functions.bc_loss_functions cb_ = function (p, l) println("loss: ", l) diff --git a/docs/src/tutorials/derivative_neural_network.md b/docs/src/tutorials/derivative_neural_network.md index d7ccec27ad..3963be4308 100644 --- a/docs/src/tutorials/derivative_neural_network.md +++ b/docs/src/tutorials/derivative_neural_network.md @@ -102,13 +102,13 @@ sym_prob = NeuralPDE.symbolic_discretize(pdesystem, discretization) pde_inner_loss_functions = sym_prob.loss_functions.pde_loss_functions bcs_inner_loss_functions = sym_prob.loss_functions.bc_loss_functions[1:7] -aprox_derivative_loss_functions = sym_prob.loss_functions.bc_loss_functions[9:end] +approx_derivative_loss_functions = sym_prob.loss_functions.bc_loss_functions[9:end] callback = function (p, l) println("loss: ", l) println("pde_losses: ", map(l_ -> l_(p.u), pde_inner_loss_functions)) println("bcs_losses: ", map(l_ -> l_(p.u), bcs_inner_loss_functions)) - println("der_losses: ", map(l_ -> l_(p.u), aprox_derivative_loss_functions)) + println("der_losses: ", map(l_ -> l_(p.u), approx_derivative_loss_functions)) return false end