diff --git a/Changelog.md b/Changelog.md
index 31d183c7..96cb0f7c 100644
--- a/Changelog.md
+++ b/Changelog.md
@@ -1,11 +1,15 @@
# Changelog
## main
+
+- Renamed `dolfinx.graph.create_adjacencylist` to `dolfinx.graph.adjacencylist`
+- Renamed `dolfinx.plot.create_vtk_mesh` to `dolfinx.plot.vtk_mesh`
- `dolfinx.geometry.BoundingBoxTree` has been changed to `dolfinx.geometry.bb_tree`
- `create_mesh` with Meshio has been modified. Note that you now need to pass dtype `np.int32` to the cell_data.
- Update dolfinx petsc API. Now one needs to explicitly import `dolfinx.fem.petsc` and `dolfinx.fem.nls`, as PETSc is no longer a strict requirement. Replace `petsc4py.PETSc.ScalarType` with `dolfinx.default_scalar_type` in demos where we do not use `petsc4py` explicitly.
## v0.6.0
+
- Remove `ipygany` and `pythreejs` as plotting backends. Using `panel`.
- Add gif-output to [chapter2/diffusion_code] and [chapter2/hyperelasticity].
- Replace `dolfinx.fem.Function.geometric_dimension` with `len(dolfinx.fem.Function)`
@@ -13,8 +17,8 @@
- Improve mesh quality in [chapter3/em].
- `jit_params` and `form_compiler_params` renamed to `*_options`.
-
## v0.5.0
+
- Using new GMSH interface in DOLFINx (`dolfinx.io.gmshio`) in all demos using GMSH
- Added a section on custom Newton-solvers, see [chapter4/newton-solver].
- Various minor DOLFINx API updates. `dolfinx.mesh.compute_boundary_facets` -> `dolfinx.mesh.exterior_facet_indices` with slightly different functionality. Use `dolfinx.mesh.MeshTagsMetaClass.find` instead of `mt.indices[mt.values==value]`.
@@ -23,9 +27,11 @@
- Add example of how to use `DOLFINx` in complex mode, see [chapter1/complex_mode].
## 0.4.1
+
- No changes
## 0.4.0 (05.02.2021)
+
- All `pyvista` plotting has been rewritten to use `ipygany` and `pythreejs` as well as using a cleaner interface.
- `dolfinx.plot.create_vtk_topology` has been renamed to `dolfinx.plot.create_vtk_mesh` and can now be directly used as input to `pyvista.UnstructuredGrid`.
- `dolfinx.fem.Function.compute_point_values` has been deprecated. Interpolation into a CG-1 is now the way of getting vertex values.
@@ -36,6 +42,7 @@
- Various API changes relating to the import structure of DOLFINx
## 0.3.0 (09.09.2021)
+
- Major improvements in [Form compiler parameters](chapter4/compiler_parameters), using pandas and seaborn for visualization of speed-ups gained using form compiler parameters.
- API change: `dolfinx.cpp.la.scatter_forward(u.x)` -> `u.x.scatter_forward`
- Various plotting updates due to new version of pyvista.
@@ -43,7 +50,6 @@
- Internal updates due to bumping of jupyter-book versions
- Various typos and capitalizations fixed by @mscroggs in [PR 35](https://github.com/jorgensd/dolfinx-tutorial/pull/35).
-
-
## 0.1.0 (11.05.2021)
-- First tagged release of DOLFINx Tutorial, compatible with [DOLFINx 0.1.0](https://github.com/FEniCS/dolfinx/releases/tag/0.1.0).
\ No newline at end of file
+
+- First tagged release of DOLFINx Tutorial, compatible with [DOLFINx 0.1.0](https://github.com/FEniCS/dolfinx/releases/tag/0.1.0).
diff --git a/chapter1/complex_mode.ipynb b/chapter1/complex_mode.ipynb
index 90f4327f..6adc9e6c 100644
--- a/chapter1/complex_mode.ipynb
+++ b/chapter1/complex_mode.ipynb
@@ -11,19 +11,19 @@
"\n",
"Many PDEs, such as the [Helmholtz equation](https://docs.fenicsproject.org/dolfinx/v0.4.1/python/demos/demo_helmholtz.html) require complex-valued fields.\n",
"\n",
- "For simplicity, let us consider a Poisson equation of the form: \n",
+ "For simplicity, let us consider a Poisson equation of the form:\n",
"\n",
"$$-\\Delta u = f \\text{ in } \\Omega,$$\n",
- "$$ f = -1 - 2j \\text{ in } \\Omega,$$\n",
- "$$ u = u_{exact} \\text{ on } \\partial\\Omega,$$\n",
- "$$u_{exact}(x, y) = \\frac{1}{2}x^2 + 1j\\cdot y^2,$$\n",
+ "$$ f = -1 - 2j \\text{ in } \\Omega,$$\n",
+ "$$ u = u*{exact} \\text{ on } \\partial\\Omega,$$\n",
+ "$$u*{exact}(x, y) = \\frac{1}{2}x^2 + 1j\\cdot y^2,$$\n",
"\n",
"As in [Solving the Poisson equation](./fundamentals) we want to express our partial differential equation as a weak formulation.\n",
"\n",
"We start by defining our discrete function space $V_h$, such that $u_h\\in V_h$ and $u_h = \\sum_{i=1}^N c_i \\phi_i(x, y)$ where $\\phi_i$ are **real valued** global basis functions of our space $V_h$, $c_i \\in \\mathcal{C}$ are the **complex valued** degrees of freedom.\n",
"\n",
- "Next, we choose a test function $v\\in \\hat V_h$ where $\\hat V_h\\subset V_h$ such that $v\\vert_{\\partial\\Omega}=0$, as done in the first tutorial. \n",
- "We now need to define our inner product space. We choose the $L^2$ inner product spaces, which is a *[sesquilinear](https://en.wikipedia.org/wiki/Sesquilinear_form) 2-form*, Meaning that $\\langle u, v\\rangle$ is a map from $V_h\\times V_h\\mapsto K$, and $\\langle u, v \\rangle = \\int_\\Omega u \\cdot \\bar v ~\\mathrm{d} x$. As it is sesquilinear, we have the following properties:\n",
+ "Next, we choose a test function $v\\in \\hat V_h$ where $\\hat V_h\\subset V_h$ such that $v\\vert_{\\partial\\Omega}=0$, as done in the first tutorial.\n",
+ "We now need to define our inner product space. We choose the $L^2$ inner product spaces, which is a _[sesquilinear](https://en.wikipedia.org/wiki/Sesquilinear_form) 2-form_, Meaning that $\\langle u, v\\rangle$ is a map from $V_h\\times V_h\\mapsto K$, and $\\langle u, v \\rangle = \\int_\\Omega u \\cdot \\bar v ~\\mathrm{d} x$. As it is sesquilinear, we have the following properties:\n",
"\n",
"$$\\langle u , v \\rangle = \\overline{\\langle v, u \\rangle},$$\n",
"$$\\langle u , u \\rangle \\geq 0.$$\n",
@@ -33,7 +33,8 @@
"$$\\int_\\Omega \\nabla u_h \\cdot \\nabla \\overline{v}~ \\mathrm{dx} = \\int_{\\Omega} f \\cdot \\overline{v} ~\\mathrm{d} s \\qquad \\forall v \\in \\hat{V}_h.$$\n",
"\n",
"## Installation of FEniCSx with complex number support\n",
- "FEniCSx supports both real and complex numbers, meaning that we can create a function spaces with real valued or complex valued coefficients."
+ "\n",
+ "FEniCSx supports both real and complex numbers, meaning that we can create a function spaces with real valued or complex valued coefficients.\n"
]
},
{
@@ -70,11 +71,11 @@
"id": "699ab6a9-4427-4c54-95c8-ce5de5d11b97",
"metadata": {},
"source": [
- "However, as we would like to solve linear algebra problems on the form $Ax=b$, we need to be able to use matrices and vectors that support real and complex numbers. As [PETSc](https://petsc.org/release/) is one of the most popular interfaces to linear algebra packages, we need to be able to work with their matrix and vector structures. \n",
+ "However, as we would like to solve linear algebra problems on the form $Ax=b$, we need to be able to use matrices and vectors that support real and complex numbers. As [PETSc](https://petsc.org/release/) is one of the most popular interfaces to linear algebra packages, we need to be able to work with their matrix and vector structures.\n",
"\n",
"Unfortunately, PETSc only supports one floating type in their matrices, thus we need to install two versions of PETSc, one that supports `float64` and one that supports `complex128`. In the [docker images](https://hub.docker.com/r/dolfinx/dolfinx) for DOLFINx, both versions are installed, and one can switch between them by calling `source dolfinx-real-mode` or `source dolfinx-complex-mode`. For the `dolfinx/lab` images, one can change the Python kernel to be either the real or complex mode, by going to `Kernel->Change Kernel...` and choose `Python3 (ipykernel)` (for real mode) or `Python3 (DOLFINx complex)` (for complex mode).\n",
"\n",
- "We check that we are using the correct installation of PETSc by inspecting the scalar type."
+ "We check that we are using the correct installation of PETSc by inspecting the scalar type.\n"
]
},
{
@@ -104,7 +105,8 @@
"metadata": {},
"source": [
"## Variational problem\n",
- "We are now ready to define our variational problem"
+ "\n",
+ "We are now ready to define our variational problem\n"
]
},
{
@@ -131,7 +133,7 @@
"\n",
"Secondly, note that we are using `ufl.inner` to describe multiplication of $f$ and $v$, even if they are scalar values. This is because `ufl.inner` takes the conjugate of the second argument, as decribed by the $L^2$ inner product. One could alternatively write this out manually\n",
"\n",
- "### Inner-products and derivatives"
+ "### Inner-products and derivatives\n"
]
},
{
@@ -160,7 +162,7 @@
"id": "9efe0968-bf32-4184-85f7-4e8cc3401cfb",
"metadata": {},
"source": [
- "Similarly, if we want to use the function $ufl.derivative$ to take derivatives of functionals, we need to take some special care. As `derivative` inserts a `ufl.TestFunction` to represent the variation, we need to take the conjugate of this to be able to use it to assemble vectors."
+ "Similarly, if we want to use the function $ufl.derivative$ to take derivatives of functionals, we need to take some special care. As `derivative` inserts a `ufl.TestFunction` to represent the variation, we need to take the conjugate of this to be able to use it to assemble vectors.\n"
]
},
{
@@ -250,7 +252,8 @@
"metadata": {},
"source": [
"We define our Dirichlet condition and setup and solve the variational problem.\n",
- "## Solve variational problem"
+ "\n",
+ "## Solve variational problem\n"
]
},
{
@@ -274,7 +277,8 @@
"metadata": {},
"source": [
"We compute the $L^2$ error and the max error\n",
- "## Error computation"
+ "\n",
+ "## Error computation\n"
]
},
{
@@ -307,7 +311,8 @@
"metadata": {},
"source": [
"## Plotting\n",
- "Finally, we plot the real and imaginary solution"
+ "\n",
+ "Finally, we plot the real and imaginary solution\n"
]
},
{
@@ -319,8 +324,8 @@
"source": [
"import pyvista\n",
"pyvista.start_xvfb()\n",
- "p_mesh = pyvista.UnstructuredGrid(*dolfinx.plot.create_vtk_mesh(mesh, mesh.topology.dim))\n",
- "pyvista_cells, cell_types, geometry = dolfinx.plot.create_vtk_mesh(V)\n",
+ "p_mesh = pyvista.UnstructuredGrid(*dolfinx.plot.vtk_mesh(mesh, mesh.topology.dim))\n",
+ "pyvista_cells, cell_types, geometry = dolfinx.plot.vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)\n",
"grid.point_data[\"u_real\"] = uh.x.array.real\n",
"grid.point_data[\"u_imag\"] = uh.x.array.imag\n",
@@ -335,540 +340,16 @@
"outputs": [
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- " var inline_js = [ function(Bokeh) {\n",
- " Bokeh.set_log_level(\"info\");\n",
- " },\n",
- "function(Bokeh) {} // ensure no trailing comma for IE\n",
- " ];\n",
- "\n",
- " function run_inline_js() {\n",
- " if ((root.Bokeh !== undefined) || (force === true)) {\n",
- " for (var i = 0; i < inline_js.length; i++) {\n",
- " inline_js[i].call(root, root.Bokeh);\n",
- " }\n",
- " // Cache old bokeh versions\n",
- " if (Bokeh != undefined && !reloading) {\n",
- "\tvar NewBokeh = root.Bokeh;\n",
- "\tif (Bokeh.versions === undefined) {\n",
- "\t Bokeh.versions = new Map();\n",
- "\t}\n",
- "\tif (NewBokeh.version !== Bokeh.version) {\n",
- "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
- "\t}\n",
- "\troot.Bokeh = Bokeh;\n",
- " }} else if (Date.now() < root._bokeh_timeout) {\n",
- " setTimeout(run_inline_js, 100);\n",
- " } else if (!root._bokeh_failed_load) {\n",
- " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
- " root._bokeh_failed_load = true;\n",
- " }\n",
- " root._bokeh_is_initializing = false\n",
- " }\n",
- "\n",
- " function load_or_wait() {\n",
- " // Implement a backoff loop that tries to ensure we do not load multiple\n",
- " // versions of Bokeh and its dependencies at the same time.\n",
- " // In recent versions we use the root._bokeh_is_initializing flag\n",
- " // to determine whether there is an ongoing attempt to initialize\n",
- " // bokeh, however for backward compatibility we also try to ensure\n",
- " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
- " // before older versions are fully initialized.\n",
- " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
- " root._bokeh_is_initializing = false;\n",
- " root._bokeh_onload_callbacks = undefined;\n",
- " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
- " load_or_wait();\n",
- " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
- " setTimeout(load_or_wait, 100);\n",
- " } else {\n",
- " Bokeh = root.Bokeh;\n",
- " bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- " root._bokeh_is_initializing = true\n",
- " root._bokeh_onload_callbacks = []\n",
- " if (!reloading && (!bokeh_loaded || is_dev)) {\n",
- "\troot.Bokeh = undefined;\n",
- " }\n",
- " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
- "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
- "\trun_inline_js();\n",
- " });\n",
- " }\n",
- " }\n",
- " // Give older versions of the autoload script a head-start to ensure\n",
- " // they initialize before we start loading newer version.\n",
- " setTimeout(load_or_wait, 100)\n",
- "}(window));"
- ],
- "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
+ "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; 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window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
+ "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n 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nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n",
+ "application/vnd.holoviews_load.v0+json": ""
},
"metadata": {},
"output_type": "display_data"
diff --git a/chapter1/complex_mode.py b/chapter1/complex_mode.py
index 025b7833..77bb41a4 100644
--- a/chapter1/complex_mode.py
+++ b/chapter1/complex_mode.py
@@ -119,8 +119,8 @@
import pyvista
pyvista.start_xvfb()
-p_mesh = pyvista.UnstructuredGrid(*dolfinx.plot.create_vtk_mesh(mesh, mesh.topology.dim))
-pyvista_cells, cell_types, geometry = dolfinx.plot.create_vtk_mesh(V)
+p_mesh = pyvista.UnstructuredGrid(*dolfinx.plot.vtk_mesh(mesh, mesh.topology.dim))
+pyvista_cells, cell_types, geometry = dolfinx.plot.vtk_mesh(V)
grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)
grid.point_data["u_real"] = uh.x.array.real
grid.point_data["u_imag"] = uh.x.array.imag
diff --git a/chapter1/fundamentals_code.ipynb b/chapter1/fundamentals_code.ipynb
index 71694f02..809af6a6 100644
--- a/chapter1/fundamentals_code.ipynb
+++ b/chapter1/fundamentals_code.ipynb
@@ -417,7 +417,7 @@
"## Plotting the mesh using pyvista\n",
"We will visualizing the mesh using [pyvista](https://docs.pyvista.org/), an interface to the VTK toolkit.\n",
"We start by converting the mesh to a format that can be used with `pyvista`.\n",
- "To do this we use the function `dolfinx.plot.create_vtk_mesh`. The first step is to create an unstructured grid that can be used by `pyvista`.\n",
+ "To do this we use the function `dolfinx.plot.vtk_mesh`. The first step is to create an unstructured grid that can be used by `pyvista`.\n",
"We need to start a virtual framebuffer for plotting through docker containers. You can print the current backend and change it with `pyvista.set_jupyter_backend(backend)`"
]
},
@@ -453,7 +453,7 @@
"source": [
"from dolfinx import plot\n",
"pyvista.start_xvfb()\n",
- "topology, cell_types, geometry = plot.create_vtk_mesh(domain, tdim)\n",
+ "topology, cell_types, geometry = plot.vtk_mesh(domain, tdim)\n",
"grid = pyvista.UnstructuredGrid(topology, cell_types, geometry)"
]
},
@@ -1231,7 +1231,7 @@
"metadata": {},
"source": [
"## Plotting a function using pyvista\n",
- "We want to plot the solution `uh`. As the function space used to defined the mesh is disconnected from the function space defining the mesh, we create a mesh based on the dof coordinates for the function space `V`. We use `dolfinx.plot.create_vtk_mesh` with the function space as input to create a mesh with mesh geometry based on the dof coordinates."
+ "We want to plot the solution `uh`. As the function space used to defined the mesh is disconnected from the function space defining the mesh, we create a mesh based on the dof coordinates for the function space `V`. We use `dolfinx.plot.vtk_mesh` with the function space as input to create a mesh with mesh geometry based on the dof coordinates."
]
},
{
@@ -1245,7 +1245,7 @@
},
"outputs": [],
"source": [
- "u_topology, u_cell_types, u_geometry = plot.create_vtk_mesh(V)"
+ "u_topology, u_cell_types, u_geometry = plot.vtk_mesh(V)"
]
},
{
diff --git a/chapter1/fundamentals_code.py b/chapter1/fundamentals_code.py
index 0ad58e73..a977b791 100644
--- a/chapter1/fundamentals_code.py
+++ b/chapter1/fundamentals_code.py
@@ -223,7 +223,7 @@
# ## Plotting the mesh using pyvista
# We will visualizing the mesh using [pyvista](https://docs.pyvista.org/), an interface to the VTK toolkit.
# We start by converting the mesh to a format that can be used with `pyvista`.
-# To do this we use the function `dolfinx.plot.create_vtk_mesh`. The first step is to create an unstructured grid that can be used by `pyvista`.
+# To do this we use the function `dolfinx.plot.vtk_mesh`. The first step is to create an unstructured grid that can be used by `pyvista`.
# We need to start a virtual framebuffer for plotting through docker containers. You can print the current backend and change it with `pyvista.set_jupyter_backend(backend)`
import pyvista
@@ -232,7 +232,7 @@
# + vscode={"languageId": "python"}
from dolfinx import plot
pyvista.start_xvfb()
-topology, cell_types, geometry = plot.create_vtk_mesh(domain, tdim)
+topology, cell_types, geometry = plot.vtk_mesh(domain, tdim)
grid = pyvista.UnstructuredGrid(topology, cell_types, geometry)
# -
@@ -252,10 +252,10 @@
# -
# ## Plotting a function using pyvista
-# We want to plot the solution `uh`. As the function space used to defined the mesh is disconnected from the function space defining the mesh, we create a mesh based on the dof coordinates for the function space `V`. We use `dolfinx.plot.create_vtk_mesh` with the function space as input to create a mesh with mesh geometry based on the dof coordinates.
+# We want to plot the solution `uh`. As the function space used to defined the mesh is disconnected from the function space defining the mesh, we create a mesh based on the dof coordinates for the function space `V`. We use `dolfinx.plot.vtk_mesh` with the function space as input to create a mesh with mesh geometry based on the dof coordinates.
# + vscode={"languageId": "python"}
-u_topology, u_cell_types, u_geometry = plot.create_vtk_mesh(V)
+u_topology, u_cell_types, u_geometry = plot.vtk_mesh(V)
# -
# Next, we create the `pyvista.UnstructuredGrid` and add the dof-values to the mesh.
diff --git a/chapter1/membrane_code.ipynb b/chapter1/membrane_code.ipynb
index 11802bf3..9643260c 100644
--- a/chapter1/membrane_code.ipynb
+++ b/chapter1/membrane_code.ipynb
@@ -1013,12 +1013,12 @@
}
],
"source": [
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"import pyvista\n",
"pyvista.start_xvfb()\n",
"\n",
"# Extract topology from mesh and create pyvista mesh\n",
- "topology, cell_types, x = create_vtk_mesh(V)\n",
+ "topology, cell_types, x = vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(topology, cell_types, x)\n",
"\n",
"# Set deflection values and add it to plotter\n",
@@ -1136,7 +1136,7 @@
],
"source": [
"load_plotter = pyvista.Plotter()\n",
- "p_grid = pyvista.UnstructuredGrid(*create_vtk_mesh(Q))\n",
+ "p_grid = pyvista.UnstructuredGrid(*vtk_mesh(Q))\n",
"p_grid.point_data[\"p\"] = pressure.x.array.real\n",
"warped_p = p_grid.warp_by_scalar(\"p\", factor=0.5)\n",
"warped_p.set_active_scalars(\"p\")\n",
diff --git a/chapter1/membrane_code.py b/chapter1/membrane_code.py
index e0ba591f..13c87818 100644
--- a/chapter1/membrane_code.py
+++ b/chapter1/membrane_code.py
@@ -118,12 +118,12 @@ def on_boundary(x):
# We first plot the deflection $u_h$ over the domain $\Omega$.
# +
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
import pyvista
pyvista.start_xvfb()
# Extract topology from mesh and create pyvista mesh
-topology, cell_types, x = create_vtk_mesh(V)
+topology, cell_types, x = vtk_mesh(V)
grid = pyvista.UnstructuredGrid(topology, cell_types, x)
# Set deflection values and add it to plotter
@@ -141,7 +141,7 @@ def on_boundary(x):
# We next plot the load on the domain
load_plotter = pyvista.Plotter()
-p_grid = pyvista.UnstructuredGrid(*create_vtk_mesh(Q))
+p_grid = pyvista.UnstructuredGrid(*vtk_mesh(Q))
p_grid.point_data["p"] = pressure.x.array.real
warped_p = p_grid.warp_by_scalar("p", factor=0.5)
warped_p.set_active_scalars("p")
diff --git a/chapter1/nitsche.ipynb b/chapter1/nitsche.ipynb
index bcfd5503..4ba3df42 100644
--- a/chapter1/nitsche.ipynb
+++ b/chapter1/nitsche.ipynb
@@ -924,7 +924,7 @@
"import pyvista\n",
"pyvista.start_xvfb()\n",
"\n",
- "grid = pyvista.UnstructuredGrid(*plot.create_vtk_mesh(V))\n",
+ "grid = pyvista.UnstructuredGrid(*plot.vtk_mesh(V))\n",
"grid.point_data[\"u\"] = uh.x.array.real\n",
"grid.set_active_scalars(\"u\")\n",
"plotter = pyvista.Plotter()\n",
diff --git a/chapter1/nitsche.py b/chapter1/nitsche.py
index 890558e0..001a092e 100644
--- a/chapter1/nitsche.py
+++ b/chapter1/nitsche.py
@@ -96,7 +96,7 @@
import pyvista
pyvista.start_xvfb()
-grid = pyvista.UnstructuredGrid(*plot.create_vtk_mesh(V))
+grid = pyvista.UnstructuredGrid(*plot.vtk_mesh(V))
grid.point_data["u"] = uh.x.array.real
grid.set_active_scalars("u")
plotter = pyvista.Plotter()
diff --git a/chapter2/diffusion_code.ipynb b/chapter2/diffusion_code.ipynb
index 47130009..c468c004 100644
--- a/chapter2/diffusion_code.ipynb
+++ b/chapter2/diffusion_code.ipynb
@@ -198,7 +198,7 @@
"import matplotlib as mpl\n",
"pyvista.start_xvfb()\n",
"\n",
- "grid = pyvista.UnstructuredGrid(*plot.create_vtk_mesh(V))\n",
+ "grid = pyvista.UnstructuredGrid(*plot.vtk_mesh(V))\n",
"\n",
"plotter = pyvista.Plotter()\n",
"plotter.open_gif(\"u_time.gif\", fps=10)\n",
diff --git a/chapter2/diffusion_code.py b/chapter2/diffusion_code.py
index 2876317d..082aaed8 100644
--- a/chapter2/diffusion_code.py
+++ b/chapter2/diffusion_code.py
@@ -123,7 +123,7 @@ def initial_condition(x, a=5):
import matplotlib as mpl
pyvista.start_xvfb()
-grid = pyvista.UnstructuredGrid(*plot.create_vtk_mesh(V))
+grid = pyvista.UnstructuredGrid(*plot.vtk_mesh(V))
plotter = pyvista.Plotter()
plotter.open_gif("u_time.gif", fps=10)
diff --git a/chapter2/hyperelasticity.ipynb b/chapter2/hyperelasticity.ipynb
index 60b7aa7f..0cfa9c6b 100644
--- a/chapter2/hyperelasticity.ipynb
+++ b/chapter2/hyperelasticity.ipynb
@@ -327,7 +327,7 @@
"plotter = pyvista.Plotter()\n",
"plotter.open_gif(\"deformation.gif\", fps=3)\n",
"\n",
- "topology, cells, geometry = plot.create_vtk_mesh(u.function_space)\n",
+ "topology, cells, geometry = plot.vtk_mesh(u.function_space)\n",
"function_grid = pyvista.UnstructuredGrid(topology, cells, geometry)\n",
"\n",
"values = np.zeros((geometry.shape[0], 3))\n",
@@ -368,337 +368,167 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "2023-08-12 11:07:47.883 ( 8.574s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:48.471 ( 9.162s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.587626, 0.510000, 0.070000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:48.697 ( 9.388s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:49.134 ( 9.825s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.436879, 0.400000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:49.144 ( 9.835s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 22.2455 (tol = 1e-08) r (rel) = 0.134278(tol = 1e-08)\n",
- "2023-08-12 11:07:49.353 ( 10.044s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:49.786 ( 10.477s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.433188, 0.400000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:49.796 ( 10.487s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 2.43261 (tol = 1e-08) r (rel) = 0.0146837(tol = 1e-08)\n",
- "2023-08-12 11:07:50.009 ( 10.700s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:50.443 ( 11.134s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.433830, 0.380000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:50.454 ( 11.145s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 4.43158 (tol = 1e-08) r (rel) = 0.0267498(tol = 1e-08)\n",
- "2023-08-12 11:07:50.683 ( 11.374s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:51.162 ( 11.853s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.479020, 0.430000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:51.173 ( 11.864s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.144189 (tol = 1e-08) r (rel) = 0.000870353(tol = 1e-08)\n",
- "2023-08-12 11:07:51.394 ( 12.085s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:51.858 ( 12.549s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.463848, 0.420000, 0.050000 (PETSc Krylov solver)\n"
+ "2023-09-05 09:39:34.101 ( 4.153s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:34.400 ( 4.452s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.299288, 0.260000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:34.515 ( 4.567s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:34.746 ( 4.797s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.230521, 0.190000, 0.050000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:34.751 ( 4.803s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 0.416658 (tol = 1e-08) r (rel) = 0.960684(tol = 1e-08)\n",
+ "2023-09-05 09:39:34.861 ( 4.913s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:35.087 ( 5.138s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.225784, 0.210000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:35.092 ( 5.144s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 0.408198 (tol = 1e-08) r (rel) = 0.941178(tol = 1e-08)\n",
+ "2023-09-05 09:39:35.202 ( 5.253s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:35.441 ( 5.492s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.238785, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:35.446 ( 5.498s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 0.40178 (tol = 1e-08) r (rel) = 0.926379(tol = 1e-08)\n",
+ "2023-09-05 09:39:35.550 ( 5.602s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:35.776 ( 5.828s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.225889, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:35.782 ( 5.833s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.396566 (tol = 1e-08) r (rel) = 0.914358(tol = 1e-08)\n",
+ "2023-09-05 09:39:35.890 ( 5.942s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:36.126 ( 6.178s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.236053, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:36.131 ( 6.183s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 0.39216 (tol = 1e-08) r (rel) = 0.904199(tol = 1e-08)\n",
+ "2023-09-05 09:39:36.237 ( 6.289s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:36.466 ( 6.517s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.228266, 0.190000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:36.471 ( 6.523s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 0.388367 (tol = 1e-08) r (rel) = 0.895454(tol = 1e-08)\n",
+ "2023-09-05 09:39:36.582 ( 6.634s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:36.821 ( 6.873s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.238803, 0.210000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:36.826 ( 6.878s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 0.38507 (tol = 1e-08) r (rel) = 0.887851(tol = 1e-08)\n",
+ "2023-09-05 09:39:36.935 ( 6.987s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:37.175 ( 7.227s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.240331, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:37.181 ( 7.233s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 9: r (abs) = 0.382192 (tol = 1e-08) r (rel) = 0.881216(tol = 1e-08)\n",
+ "2023-09-05 09:39:37.290 ( 7.342s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:37.517 ( 7.569s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.226937, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:37.522 ( 7.574s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 10: r (abs) = 0.379681 (tol = 1e-08) r (rel) = 0.875427(tol = 1e-08)\n",
+ "2023-09-05 09:39:37.630 ( 7.681s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:37.857 ( 7.909s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.227861, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:37.863 ( 7.914s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 11: r (abs) = 0.3775 (tol = 1e-08) r (rel) = 0.870398(tol = 1e-08)\n",
+ "2023-09-05 09:39:37.970 ( 8.022s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:38.196 ( 8.248s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.226266, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:38.202 ( 8.253s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 12: r (abs) = 0.375623 (tol = 1e-08) r (rel) = 0.866068(tol = 1e-08)\n",
+ "2023-09-05 09:39:38.311 ( 8.362s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:38.544 ( 8.596s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.233478, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:38.551 ( 8.603s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 13: r (abs) = 0.374027 (tol = 1e-08) r (rel) = 0.862391(tol = 1e-08)\n",
+ "2023-09-05 09:39:38.659 ( 8.710s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:38.884 ( 8.936s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.225532, 0.180000, 0.050000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:38.890 ( 8.941s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 14: r (abs) = 0.3727 (tol = 1e-08) r (rel) = 0.859331(tol = 1e-08)\n",
+ "2023-09-05 09:39:38.997 ( 9.049s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:39.226 ( 9.278s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.229031, 0.180000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:39.232 ( 9.283s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 15: r (abs) = 0.371631 (tol = 1e-08) r (rel) = 0.856865(tol = 1e-08)\n",
+ "2023-09-05 09:39:39.340 ( 9.391s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:39.565 ( 9.617s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.225714, 0.200000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:39.571 ( 9.623s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 16: r (abs) = 0.370811 (tol = 1e-08) r (rel) = 0.854974(tol = 1e-08)\n",
+ "2023-09-05 09:39:39.680 ( 9.732s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:39.922 ( 9.973s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.241368, 0.220000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:39.928 ( 9.979s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 17: r (abs) = 0.370236 (tol = 1e-08) r (rel) = 0.853648(tol = 1e-08)\n",
+ "2023-09-05 09:39:40.039 ( 10.090s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:40.274 ( 10.326s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.235192, 0.220000, 0.010000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:40.279 ( 10.331s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 18: r (abs) = 0.369902 (tol = 1e-08) r (rel) = 0.852878(tol = 1e-08)\n",
+ "2023-09-05 09:39:40.388 ( 10.439s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:40.624 ( 10.676s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.236376, 0.210000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:40.629 ( 10.681s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 19: r (abs) = 0.369809 (tol = 1e-08) r (rel) = 0.852663(tol = 1e-08)\n",
+ "2023-09-05 09:39:40.738 ( 10.790s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:40.967 ( 11.018s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.228210, 0.190000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:40.972 ( 11.024s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 20: r (abs) = 0.369956 (tol = 1e-08) r (rel) = 0.853003(tol = 1e-08)\n",
+ "2023-09-05 09:39:41.081 ( 11.132s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:41.309 ( 11.361s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.228480, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:41.315 ( 11.366s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 21: r (abs) = 0.370346 (tol = 1e-08) r (rel) = 0.853902(tol = 1e-08)\n",
+ "2023-09-05 09:39:41.422 ( 11.474s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:41.662 ( 11.713s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.239671, 0.220000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:41.667 ( 11.719s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 22: r (abs) = 0.370981 (tol = 1e-08) r (rel) = 0.855367(tol = 1e-08)\n",
+ "2023-09-05 09:39:41.777 ( 11.828s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:42.009 ( 12.061s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.232285, 0.220000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:42.014 ( 12.066s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 23: r (abs) = 0.371865 (tol = 1e-08) r (rel) = 0.857405(tol = 1e-08)\n",
+ "2023-09-05 09:39:42.124 ( 12.176s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:42.352 ( 12.404s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.228012, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:42.358 ( 12.409s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 24: r (abs) = 0.373004 (tol = 1e-08) r (rel) = 0.86003(tol = 1e-08)\n",
+ "2023-09-05 09:39:42.467 ( 12.518s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:42.709 ( 12.760s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.242131, 0.230000, 0.010000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:42.714 ( 12.766s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 25: r (abs) = 0.374402 (tol = 1e-08) r (rel) = 0.863254(tol = 1e-08)\n",
+ "2023-09-05 09:39:42.825 ( 12.877s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:43.056 ( 13.108s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.231035, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:43.061 ( 13.113s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 26: r (abs) = 0.376067 (tol = 1e-08) r (rel) = 0.867094(tol = 1e-08)\n",
+ "2023-09-05 09:39:43.169 ( 13.221s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:43.399 ( 13.451s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.229743, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:43.405 ( 13.457s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 27: r (abs) = 0.378007 (tol = 1e-08) r (rel) = 0.871566(tol = 1e-08)\n",
+ "2023-09-05 09:39:43.521 ( 13.573s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:43.766 ( 13.818s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.245194, 0.240000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:43.772 ( 13.824s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 28: r (abs) = 0.380229 (tol = 1e-08) r (rel) = 0.87669(tol = 1e-08)\n",
+ "2023-09-05 09:39:43.885 ( 13.937s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:44.124 ( 14.176s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.238841, 0.230000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:44.130 ( 14.181s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 29: r (abs) = 0.382744 (tol = 1e-08) r (rel) = 0.882487(tol = 1e-08)\n",
+ "2023-09-05 09:39:44.242 ( 14.294s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:44.481 ( 14.533s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.238573, 0.210000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:44.486 ( 14.538s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 30: r (abs) = 0.38556 (tol = 1e-08) r (rel) = 0.888981(tol = 1e-08)\n",
+ "2023-09-05 09:39:44.597 ( 14.649s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:44.834 ( 14.885s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.236572, 0.220000, 0.010000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:44.839 ( 14.891s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 31: r (abs) = 0.38869 (tol = 1e-08) r (rel) = 0.896197(tol = 1e-08)\n",
+ "2023-09-05 09:39:44.950 ( 15.001s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:45.180 ( 15.231s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.229916, 0.190000, 0.050000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:45.185 ( 15.237s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 32: r (abs) = 0.392144 (tol = 1e-08) r (rel) = 0.904161(tol = 1e-08)\n",
+ "2023-09-05 09:39:45.293 ( 15.344s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:45.523 ( 15.575s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.230317, 0.220000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:45.529 ( 15.580s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 33: r (abs) = 0.395935 (tol = 1e-08) r (rel) = 0.912903(tol = 1e-08)\n",
+ "2023-09-05 09:39:45.639 ( 15.690s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:45.868 ( 15.920s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.229419, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:45.874 ( 15.925s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 34: r (abs) = 0.400077 (tol = 1e-08) r (rel) = 0.922453(tol = 1e-08)\n",
+ "2023-09-05 09:39:45.982 ( 16.034s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:46.212 ( 16.263s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.229449, 0.200000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:46.218 ( 16.269s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 35: r (abs) = 0.404584 (tol = 1e-08) r (rel) = 0.932843(tol = 1e-08)\n",
+ "2023-09-05 09:39:46.328 ( 16.380s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:46.557 ( 16.609s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.229514, 0.180000, 0.050000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:46.563 ( 16.614s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 36: r (abs) = 0.40947 (tol = 1e-08) r (rel) = 0.944111(tol = 1e-08)\n",
+ "2023-09-05 09:39:46.674 ( 16.726s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:46.912 ( 16.964s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.238226, 0.210000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:46.918 ( 16.969s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 37: r (abs) = 0.414753 (tol = 1e-08) r (rel) = 0.956292(tol = 1e-08)\n",
+ "2023-09-05 09:39:47.028 ( 17.080s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:47.264 ( 17.316s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.235964, 0.200000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:47.270 ( 17.322s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 38: r (abs) = 0.42045 (tol = 1e-08) r (rel) = 0.969427(tol = 1e-08)\n",
+ "2023-09-05 09:39:47.382 ( 17.434s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:47.620 ( 17.672s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.237459, 0.190000, 0.050000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:47.627 ( 17.678s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 39: r (abs) = 0.42658 (tol = 1e-08) r (rel) = 0.98356(tol = 1e-08)\n",
+ "2023-09-05 09:39:47.737 ( 17.788s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:47.975 ( 18.026s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.237873, 0.220000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:47.980 ( 18.032s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 40: r (abs) = 0.433162 (tol = 1e-08) r (rel) = 0.998736(tol = 1e-08)\n",
+ "2023-09-05 09:39:48.089 ( 18.141s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:48.327 ( 18.379s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.237971, 0.210000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:48.333 ( 18.385s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 41: r (abs) = 0.440217 (tol = 1e-08) r (rel) = 1.015(tol = 1e-08)\n",
+ "2023-09-05 09:39:48.444 ( 18.495s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:48.683 ( 18.735s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.239595, 0.200000, 0.040000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:48.690 ( 18.742s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 42: r (abs) = 0.44777 (tol = 1e-08) r (rel) = 1.03242(tol = 1e-08)\n",
+ "2023-09-05 09:39:48.804 ( 18.855s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:49.038 ( 19.089s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.234177, 0.190000, 0.050000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:49.043 ( 19.095s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 43: r (abs) = 0.455844 (tol = 1e-08) r (rel) = 1.05103(tol = 1e-08)\n",
+ "2023-09-05 09:39:49.154 ( 19.206s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:49.387 ( 19.439s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.233071, 0.220000, 0.010000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:49.393 ( 19.444s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 44: r (abs) = 0.464466 (tol = 1e-08) r (rel) = 1.07091(tol = 1e-08)\n",
+ "2023-09-05 09:39:49.504 ( 19.555s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:49.738 ( 19.789s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.233949, 0.220000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:49.743 ( 19.795s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 45: r (abs) = 0.473664 (tol = 1e-08) r (rel) = 1.09212(tol = 1e-08)\n",
+ "2023-09-05 09:39:49.853 ( 19.905s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:50.087 ( 20.139s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.233722, 0.200000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:50.093 ( 20.144s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 46: r (abs) = 0.483471 (tol = 1e-08) r (rel) = 1.11473(tol = 1e-08)\n",
+ "2023-09-05 09:39:50.203 ( 20.254s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:50.439 ( 20.491s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.236480, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:50.445 ( 20.496s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 47: r (abs) = 0.493919 (tol = 1e-08) r (rel) = 1.13882(tol = 1e-08)\n",
+ "2023-09-05 09:39:50.555 ( 20.607s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:50.792 ( 20.843s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.236722, 0.230000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:50.797 ( 20.849s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 48: r (abs) = 0.505045 (tol = 1e-08) r (rel) = 1.16448(tol = 1e-08)\n",
+ "2023-09-05 09:39:50.907 ( 20.958s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:51.152 ( 21.203s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.244959, 0.220000, 0.030000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:51.158 ( 21.209s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 49: r (abs) = 0.51689 (tol = 1e-08) r (rel) = 1.19179(tol = 1e-08)\n",
+ "2023-09-05 09:39:51.263 ( 21.314s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:39:51.494 ( 21.546s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.231867, 0.210000, 0.020000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:39:51.500 ( 21.552s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 50: r (abs) = 0.529496 (tol = 1e-08) r (rel) = 1.22085(tol = 1e-08)\n"
]
},
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 1, Number of iterations 8, Load [ 0. 0. -1.5]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:07:51.869 ( 12.560s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 0.021424 (tol = 1e-08) r (rel) = 0.000129319(tol = 1e-08)\n",
- "2023-08-12 11:07:52.100 ( 12.791s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:52.536 ( 13.227s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.435971, 0.400000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:52.545 ( 13.236s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 4.80065e-06 (tol = 1e-08) r (rel) = 2.89777e-08(tol = 1e-08)\n",
- "2023-08-12 11:07:52.754 ( 13.445s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:53.199 ( 13.890s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.444845, 0.440000, 0.020000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:53.209 ( 13.900s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 2.64761e-11 (tol = 1e-08) r (rel) = 1.59815e-13(tol = 1e-08)\n",
- "2023-08-12 11:07:53.209 ( 13.900s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 8 iterations and 8 linear solver iterations.\n",
- "2023-08-12 11:07:53.617 ( 14.308s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:54.093 ( 14.784s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.475306, 0.430000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:54.320 ( 15.011s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:54.810 ( 15.501s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.489950, 0.440000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:54.821 ( 15.512s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 17.3254 (tol = 1e-08) r (rel) = 0.117842(tol = 1e-08)\n",
- "2023-08-12 11:07:55.051 ( 15.742s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:55.527 ( 16.218s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.475897, 0.420000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:55.538 ( 16.229s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 5.14882 (tol = 1e-08) r (rel) = 0.0350207(tol = 1e-08)\n",
- "2023-08-12 11:07:55.768 ( 16.459s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:56.285 ( 16.976s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.516873, 0.490000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:56.296 ( 16.987s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 7.24003 (tol = 1e-08) r (rel) = 0.0492445(tol = 1e-08)\n",
- "2023-08-12 11:07:56.578 ( 17.269s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:57.124 ( 17.815s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.545815, 0.480000, 0.070000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:57.137 ( 17.828s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.777889 (tol = 1e-08) r (rel) = 0.00529096(tol = 1e-08)\n",
- "2023-08-12 11:07:57.391 ( 18.082s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:57.871 ( 18.562s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.480001, 0.420000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:57.882 ( 18.573s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 1.25525 (tol = 1e-08) r (rel) = 0.00853785(tol = 1e-08)\n",
- "2023-08-12 11:07:58.101 ( 18.792s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:58.542 ( 19.233s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.440557, 0.400000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:58.555 ( 19.246s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 0.00849512 (tol = 1e-08) r (rel) = 5.77813e-05(tol = 1e-08)\n",
- "2023-08-12 11:07:58.790 ( 19.481s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:07:59.265 ( 19.956s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.475273, 0.410000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:07:59.279 ( 19.970s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 0.000192107 (tol = 1e-08) r (rel) = 1.30665e-06(tol = 1e-08)\n",
- "2023-08-12 11:07:59.557 ( 20.248s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:00.053 ( 20.744s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.496056, 0.450000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:00.068 ( 20.759s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 9: r (abs) = 1.69847e-10 (tol = 1e-08) r (rel) = 1.15525e-12(tol = 1e-08)\n",
- "2023-08-12 11:08:00.068 ( 20.760s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 9 iterations and 9 linear solver iterations.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 2, Number of iterations 9, Load [ 0. 0. -3.]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:00.371 ( 21.062s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:00.839 ( 21.530s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.467343, 0.430000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:01.100 ( 21.791s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:01.649 ( 22.340s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.549092, 0.500000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:01.662 ( 22.353s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 10.0011 (tol = 1e-08) r (rel) = 0.0887471(tol = 1e-08)\n",
- "2023-08-12 11:08:01.882 ( 22.573s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:02.398 ( 23.089s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.515478, 0.490000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:02.409 ( 23.100s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 5.33026 (tol = 1e-08) r (rel) = 0.0472992(tol = 1e-08)\n",
- "2023-08-12 11:08:02.629 ( 23.320s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:03.088 ( 23.779s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.459210, 0.440000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:03.107 ( 23.798s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 11.9901 (tol = 1e-08) r (rel) = 0.106397(tol = 1e-08)\n",
- "2023-08-12 11:08:03.366 ( 24.057s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:03.943 ( 24.634s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.577672, 0.530000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:03.957 ( 24.648s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 2.29702 (tol = 1e-08) r (rel) = 0.0203831(tol = 1e-08)\n",
- "2023-08-12 11:08:04.196 ( 24.888s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:04.741 ( 25.432s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.544654, 0.500000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:04.755 ( 25.446s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 3.90234 (tol = 1e-08) r (rel) = 0.0346282(tol = 1e-08)\n",
- "2023-08-12 11:08:05.007 ( 25.698s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:05.496 ( 26.187s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.488277, 0.460000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:05.509 ( 26.200s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 0.236535 (tol = 1e-08) r (rel) = 0.00209895(tol = 1e-08)\n",
- "2023-08-12 11:08:05.737 ( 26.428s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:06.243 ( 26.934s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.506296, 0.460000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:06.255 ( 26.946s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 0.0427142 (tol = 1e-08) r (rel) = 0.000379034(tol = 1e-08)\n",
- "2023-08-12 11:08:06.478 ( 27.169s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:06.903 ( 27.594s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.425166, 0.360000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:06.913 ( 27.604s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 9: r (abs) = 2.87798e-05 (tol = 1e-08) r (rel) = 2.55384e-07(tol = 1e-08)\n",
- "2023-08-12 11:08:07.156 ( 27.847s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:07.596 ( 28.287s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.440597, 0.400000, 0.050000 (PETSc Krylov solver)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 3, Number of iterations 10, Load [ 0. 0. -4.5]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:07.607 ( 28.298s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 10: r (abs) = 6.08645e-10 (tol = 1e-08) r (rel) = 5.40094e-12(tol = 1e-08)\n",
- "2023-08-12 11:08:07.607 ( 28.298s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 10 iterations and 10 linear solver iterations.\n",
- "2023-08-12 11:08:07.876 ( 28.567s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:08.311 ( 29.002s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.435033, 0.390000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:08.543 ( 29.234s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:08.985 ( 29.676s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.442115, 0.400000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:08.998 ( 29.689s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 5.50693 (tol = 1e-08) r (rel) = 0.0653918(tol = 1e-08)\n",
- "2023-08-12 11:08:09.287 ( 29.978s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:09.874 ( 30.565s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.587055, 0.550000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:09.890 ( 30.581s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 26.2489 (tol = 1e-08) r (rel) = 0.311692(tol = 1e-08)\n",
- "2023-08-12 11:08:10.124 ( 30.815s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:10.589 ( 31.280s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.464863, 0.400000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:10.604 ( 31.295s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 2.30927 (tol = 1e-08) r (rel) = 0.0274213(tol = 1e-08)\n",
- "2023-08-12 11:08:10.832 ( 31.523s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:11.316 ( 32.007s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.483985, 0.440000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:11.333 ( 32.024s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 14.0562 (tol = 1e-08) r (rel) = 0.16691(tol = 1e-08)\n",
- "2023-08-12 11:08:11.603 ( 32.294s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:12.102 ( 32.793s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.499506, 0.470000, 0.020000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:12.118 ( 32.809s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 0.222774 (tol = 1e-08) r (rel) = 0.00264532(tol = 1e-08)\n",
- "2023-08-12 11:08:12.339 ( 33.030s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:12.875 ( 33.566s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.535693, 0.470000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:12.885 ( 33.576s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 0.286671 (tol = 1e-08) r (rel) = 0.00340406(tol = 1e-08)\n",
- "2023-08-12 11:08:13.111 ( 33.802s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:13.565 ( 34.256s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.453989, 0.410000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:13.575 ( 34.267s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 0.000321869 (tol = 1e-08) r (rel) = 3.82203e-06(tol = 1e-08)\n",
- "2023-08-12 11:08:13.845 ( 34.536s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:14.353 ( 35.044s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.507513, 0.460000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:14.363 ( 35.054s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 9: r (abs) = 2.63797e-07 (tol = 1e-08) r (rel) = 3.13244e-09(tol = 1e-08)\n",
- "2023-08-12 11:08:14.363 ( 35.054s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 9 iterations and 9 linear solver iterations.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 4, Number of iterations 9, Load [ 0. 0. -6.]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:14.653 ( 35.344s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:15.130 ( 35.821s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.477112, 0.450000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:15.385 ( 36.076s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:15.857 ( 36.548s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.471693, 0.420000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:15.868 ( 36.559s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 3.19462 (tol = 1e-08) r (rel) = 0.0496479(tol = 1e-08)\n",
- "2023-08-12 11:08:16.080 ( 36.771s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:16.650 ( 37.341s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.570078, 0.550000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:16.662 ( 37.353s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 7.71429 (tol = 1e-08) r (rel) = 0.119888(tol = 1e-08)\n",
- "2023-08-12 11:08:16.879 ( 37.570s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:17.341 ( 38.032s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.461730, 0.440000, 0.020000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:17.352 ( 38.043s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 0.850873 (tol = 1e-08) r (rel) = 0.0132235(tol = 1e-08)\n",
- "2023-08-12 11:08:17.585 ( 38.276s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:18.082 ( 38.773s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.497861, 0.460000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:18.095 ( 38.786s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.371434 (tol = 1e-08) r (rel) = 0.0057725(tol = 1e-08)\n",
- "2023-08-12 11:08:18.316 ( 39.007s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:18.790 ( 39.481s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.474298, 0.450000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:18.803 ( 39.494s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 0.00215066 (tol = 1e-08) r (rel) = 3.34236e-05(tol = 1e-08)\n",
- "2023-08-12 11:08:19.025 ( 39.716s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:19.479 ( 40.170s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.454457, 0.410000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:19.489 ( 40.180s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 2.54607e-06 (tol = 1e-08) r (rel) = 3.95687e-08(tol = 1e-08)\n",
- "2023-08-12 11:08:19.739 ( 40.430s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:20.179 ( 40.870s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.440340, 0.390000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:20.190 ( 40.881s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 3.42079e-13 (tol = 1e-08) r (rel) = 5.31628e-15(tol = 1e-08)\n",
- "2023-08-12 11:08:20.190 ( 40.881s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 8 iterations and 8 linear solver iterations.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 5, Number of iterations 8, Load [ 0. 0. -7.5]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:20.466 ( 41.157s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:20.907 ( 41.598s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.441906, 0.420000, 0.020000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:21.135 ( 41.826s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:21.648 ( 42.339s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.513185, 0.480000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:21.660 ( 42.351s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 2.00649 (tol = 1e-08) r (rel) = 0.0395622(tol = 1e-08)\n",
- "2023-08-12 11:08:21.892 ( 42.583s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:22.340 ( 43.031s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.447779, 0.420000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:22.350 ( 43.042s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 4.60977 (tol = 1e-08) r (rel) = 0.0908914(tol = 1e-08)\n",
- "2023-08-12 11:08:22.568 ( 43.259s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:23.005 ( 43.697s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.437733, 0.420000, 0.020000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:23.017 ( 43.708s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 0.185372 (tol = 1e-08) r (rel) = 0.00365501(tol = 1e-08)\n",
- "2023-08-12 11:08:23.236 ( 43.927s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:23.663 ( 44.354s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.426863, 0.400000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:23.673 ( 44.364s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.024688 (tol = 1e-08) r (rel) = 0.000486777(tol = 1e-08)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 6, Number of iterations 7, Load [ 0. 0. -9.]"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:23.887 ( 44.578s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:24.353 ( 45.044s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.466439, 0.420000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:24.364 ( 45.055s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 5.69255e-06 (tol = 1e-08) r (rel) = 1.12241e-07(tol = 1e-08)\n",
- "2023-08-12 11:08:24.580 ( 45.271s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:25.051 ( 45.742s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.470625, 0.440000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:25.064 ( 45.755s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 2.66157e-11 (tol = 1e-08) r (rel) = 5.24786e-13(tol = 1e-08)\n",
- "2023-08-12 11:08:25.064 ( 45.755s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 7 iterations and 7 linear solver iterations.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:25.364 ( 46.055s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:25.805 ( 46.497s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.441239, 0.390000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:26.078 ( 46.769s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:26.535 ( 47.226s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.456407, 0.420000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:26.545 ( 47.236s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 1.38506 (tol = 1e-08) r (rel) = 0.0336622(tol = 1e-08)\n",
- "2023-08-12 11:08:26.766 ( 47.457s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:27.237 ( 47.928s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.471073, 0.430000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:27.248 ( 47.939s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 3.03739 (tol = 1e-08) r (rel) = 0.07382(tol = 1e-08)\n",
- "2023-08-12 11:08:27.473 ( 48.164s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:27.916 ( 48.608s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.443361, 0.410000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:27.929 ( 48.620s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 0.0412386 (tol = 1e-08) r (rel) = 0.00100225(tol = 1e-08)\n",
- "2023-08-12 11:08:28.152 ( 48.843s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:28.584 ( 49.275s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.431692, 0.380000, 0.050000 (PETSc Krylov solver)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 7, Number of iterations 6, Load [ 0. 0. -10.5]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:28.597 ( 49.288s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.00205057 (tol = 1e-08) r (rel) = 4.98364e-05(tol = 1e-08)\n",
- "2023-08-12 11:08:28.826 ( 49.517s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:29.279 ( 49.970s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.453083, 0.410000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:29.292 ( 49.983s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 1.78862e-08 (tol = 1e-08) r (rel) = 4.34702e-10(tol = 1e-08)\n",
- "2023-08-12 11:08:29.292 ( 49.983s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 6 iterations and 6 linear solver iterations.\n",
- "2023-08-12 11:08:29.613 ( 50.304s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:30.061 ( 50.752s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.447997, 0.390000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:30.295 ( 50.986s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:30.773 ( 51.464s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.478793, 0.420000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:30.785 ( 51.476s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 1.06336 (tol = 1e-08) r (rel) = 0.031085(tol = 1e-08)\n",
- "2023-08-12 11:08:31.003 ( 51.694s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:31.459 ( 52.150s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.455785, 0.420000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:31.475 ( 52.166s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 2.0477 (tol = 1e-08) r (rel) = 0.0598598(tol = 1e-08)\n",
- "2023-08-12 11:08:31.735 ( 52.426s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:32.234 ( 52.925s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.499050, 0.450000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:32.250 ( 52.942s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 0.00897719 (tol = 1e-08) r (rel) = 0.000262427(tol = 1e-08)\n",
- "2023-08-12 11:08:32.492 ( 53.183s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:33.054 ( 53.745s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.561527, 0.530000, 0.040000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:33.071 ( 53.762s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.000167422 (tol = 1e-08) r (rel) = 4.89419e-06(tol = 1e-08)\n",
- "2023-08-12 11:08:33.310 ( 54.001s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:33.780 ( 54.471s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.470016, 0.420000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:33.792 ( 54.483s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 3.24402e-11 (tol = 1e-08) r (rel) = 9.48314e-13(tol = 1e-08)\n",
- "2023-08-12 11:08:33.792 ( 54.483s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 6 iterations and 6 linear solver iterations.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 8, Number of iterations 6, Load [ 0. 0. -12.]\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-08-12 11:08:34.090 ( 54.781s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:34.570 ( 55.261s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.480474, 0.450000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:34.847 ( 55.538s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:35.320 ( 56.011s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.472308, 0.450000, 0.020000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:35.331 ( 56.022s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 0.898789 (tol = 1e-08) r (rel) = 0.0309666(tol = 1e-08)\n",
- "2023-08-12 11:08:35.581 ( 56.272s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:36.084 ( 56.775s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.502654, 0.460000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:36.096 ( 56.787s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 1.38354 (tol = 1e-08) r (rel) = 0.0476679(tol = 1e-08)\n",
- "2023-08-12 11:08:36.322 ( 57.013s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:36.823 ( 57.514s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.500863, 0.450000, 0.060000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:36.834 ( 57.525s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 0.00185096 (tol = 1e-08) r (rel) = 6.37724e-05(tol = 1e-08)\n",
- "2023-08-12 11:08:37.091 ( 57.782s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:37.607 ( 58.298s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.515933, 0.500000, 0.030000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:37.621 ( 58.312s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 7.87183e-06 (tol = 1e-08) r (rel) = 2.71213e-07(tol = 1e-08)\n",
- "2023-08-12 11:08:37.853 ( 58.544s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:38.284 ( 58.975s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.431054, 0.390000, 0.050000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:38.296 ( 58.987s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 4.30231e-13 (tol = 1e-08) r (rel) = 1.4823e-14(tol = 1e-08)\n",
- "2023-08-12 11:08:38.296 ( 58.987s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 6 iterations and 6 linear solver iterations.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time step 9, Number of iterations 6, Load [ 0. 0. -13.5]\n"
+ "ename": "RuntimeError",
+ "evalue": "Newton solver did not converge because maximum number of iterations reached",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[15], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m n \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m10\u001b[39m):\n\u001b[1;32m 4\u001b[0m T\u001b[38;5;241m.\u001b[39mvalue[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m n \u001b[38;5;241m*\u001b[39m tval0\n\u001b[0;32m----> 5\u001b[0m num_its, converged \u001b[38;5;241m=\u001b[39m \u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43mu\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m (converged)\n\u001b[1;32m 7\u001b[0m u\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mscatter_forward()\n",
+ "File \u001b[0;32m/usr/local/dolfinx-real/lib/python3.10/dist-packages/dolfinx/nls/petsc.py:46\u001b[0m, in \u001b[0;36mNewtonSolver.solve\u001b[0;34m(self, u)\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msolve\u001b[39m(\u001b[38;5;28mself\u001b[39m, u: fem\u001b[38;5;241m.\u001b[39mFunction):\n\u001b[1;32m 44\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Solve non-linear problem into function u. Returns the number\u001b[39;00m\n\u001b[1;32m 45\u001b[0m \u001b[38;5;124;03m of iterations and if the solver converged.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 46\u001b[0m n, converged \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43mu\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvector\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 47\u001b[0m u\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mscatter_forward()\n\u001b[1;32m 48\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m n, converged\n",
+ "\u001b[0;31mRuntimeError\u001b[0m: Newton solver did not converge because maximum number of iterations reached"
]
}
],
diff --git a/chapter2/hyperelasticity.py b/chapter2/hyperelasticity.py
index e4dfe261..3a4cce93 100644
--- a/chapter2/hyperelasticity.py
+++ b/chapter2/hyperelasticity.py
@@ -157,7 +157,7 @@ def right(x):
plotter = pyvista.Plotter()
plotter.open_gif("deformation.gif", fps=3)
-topology, cells, geometry = plot.create_vtk_mesh(u.function_space)
+topology, cells, geometry = plot.vtk_mesh(u.function_space)
function_grid = pyvista.UnstructuredGrid(topology, cells, geometry)
values = np.zeros((geometry.shape[0], 3))
diff --git a/chapter2/linearelasticity_code.ipynb b/chapter2/linearelasticity_code.ipynb
index 7360dc04..c07e0a9e 100644
--- a/chapter2/linearelasticity_code.ipynb
+++ b/chapter2/linearelasticity_code.ipynb
@@ -932,7 +932,7 @@
"\n",
"# Create plotter and pyvista grid\n",
"p = pyvista.Plotter()\n",
- "topology, cell_types, geometry = plot.create_vtk_mesh(V)\n",
+ "topology, cell_types, geometry = plot.vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(topology, cell_types, geometry)\n",
"\n",
"# Attach vector values to grid and warp grid by vector\n",
diff --git a/chapter2/linearelasticity_code.py b/chapter2/linearelasticity_code.py
index 623fa26d..67a70960 100644
--- a/chapter2/linearelasticity_code.py
+++ b/chapter2/linearelasticity_code.py
@@ -117,7 +117,7 @@ def sigma(u):
# Create plotter and pyvista grid
p = pyvista.Plotter()
-topology, cell_types, geometry = plot.create_vtk_mesh(V)
+topology, cell_types, geometry = plot.vtk_mesh(V)
grid = pyvista.UnstructuredGrid(topology, cell_types, geometry)
# Attach vector values to grid and warp grid by vector
diff --git a/chapter2/nonlinpoisson_code.ipynb b/chapter2/nonlinpoisson_code.ipynb
index d63f3ae2..1263b98a 100644
--- a/chapter2/nonlinpoisson_code.ipynb
+++ b/chapter2/nonlinpoisson_code.ipynb
@@ -174,30 +174,30 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "2023-08-12 11:08:40.511 ( 1.344s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.514 ( 1.346s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.002228, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.514 ( 1.346s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.516 ( 1.348s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.001727, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.517 ( 1.349s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 20.379 (tol = 1e-10) r (rel) = 0.922526(tol = 1e-06)\n",
- "2023-08-12 11:08:40.517 ( 1.349s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.517 ( 1.350s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000291, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.518 ( 1.350s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 6.95266 (tol = 1e-10) r (rel) = 0.314736(tol = 1e-06)\n",
- "2023-08-12 11:08:40.518 ( 1.350s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.518 ( 1.350s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000256, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.518 ( 1.351s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 2.93566 (tol = 1e-10) r (rel) = 0.132893(tol = 1e-06)\n",
- "2023-08-12 11:08:40.518 ( 1.351s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.519 ( 1.351s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000236, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.519 ( 1.351s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.700574 (tol = 1e-10) r (rel) = 0.0317138(tol = 1e-06)\n",
- "2023-08-12 11:08:40.519 ( 1.351s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.519 ( 1.352s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000238, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.520 ( 1.352s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 0.049075 (tol = 1e-10) r (rel) = 0.00222154(tol = 1e-06)\n",
- "2023-08-12 11:08:40.520 ( 1.352s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.520 ( 1.352s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000218, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.520 ( 1.352s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 0.000299265 (tol = 1e-10) r (rel) = 1.35472e-05(tol = 1e-06)\n",
- "2023-08-12 11:08:40.520 ( 1.353s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
- "2023-08-12 11:08:40.521 ( 1.353s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000204, 0.000000, 0.000000 (PETSc Krylov solver)\n",
- "2023-08-12 11:08:40.521 ( 1.353s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 1.53259e-08 (tol = 1e-10) r (rel) = 6.93778e-10(tol = 1e-06)\n",
- "2023-08-12 11:08:40.521 ( 1.353s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 8 iterations and 141 linear solver iterations.\n"
+ "2023-09-05 09:38:52.751 ( 0.614s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.752 ( 0.615s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.001463, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000305, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 2: r (abs) = 19.084 (tol = 1e-10) r (rel) = 0.856206(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000070, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 3: r (abs) = 6.47347 (tol = 1e-10) r (rel) = 0.290433(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000070, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 4: r (abs) = 2.5904 (tol = 1e-10) r (rel) = 0.116219(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.753 ( 0.616s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000061, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.754 ( 0.616s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 5: r (abs) = 0.549065 (tol = 1e-10) r (rel) = 0.0246338(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.754 ( 0.616s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.754 ( 0.616s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000063, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 6: r (abs) = 0.0302973 (tol = 1e-10) r (rel) = 0.00135929(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000050, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 7: r (abs) = 0.000116023 (tol = 1e-10) r (rel) = 5.20537e-06(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] petsc.cpp:698 INFO| PETSc Krylov solver starting to solve system.\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000045, 0.000000, 0.000000 (PETSc Krylov solver)\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] NewtonSolver.cpp:36 INFO| Newton iteration 8: r (abs) = 2.43721e-09 (tol = 1e-10) r (rel) = 1.09346e-10(tol = 1e-06)\n",
+ "2023-09-05 09:38:52.754 ( 0.617s) [main ] NewtonSolver.cpp:255 INFO| Newton solver finished in 8 iterations and 113 linear solver iterations.\n"
]
}
],
@@ -222,28 +222,28 @@
"metadata": {},
"outputs": [
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "L2-error: 5.21e-15\n",
- "Error_max: 1.47e-14\n"
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000010, 0.000000, 0.000000 (Init dofmap from element dofmap)\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000004, 0.000000, 0.000000 (Compute dof reordering map)\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
+ "2023-09-05 09:38:52.866 ( 0.729s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000156, 0.000000, 0.000000 (Build dofmap data)\n"
]
},
{
- "name": "stderr",
+ "name": "stdout",
"output_type": "stream",
"text": [
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000028, 0.000000, 0.000000 (Init dofmap from element dofmap)\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000008, 0.000000, 0.000000 (Compute dof reordering map)\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:165 INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
- "2023-08-12 11:08:40.538 ( 1.370s) [main ] MPI.cpp:236 INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
- "2023-08-12 11:08:40.538 ( 1.371s) [main ] TimeLogger.cpp:28 INFO| Elapsed wall, usr, sys time: 0.000339, 0.000000, 0.000000 (Build dofmap data)\n"
+ "L2-error: 6.18e-03\n",
+ "Error_max: 1.21e-02\n"
]
}
],
diff --git a/chapter2/ns_code1.ipynb b/chapter2/ns_code1.ipynb
index 370e5db3..732f7e71 100644
--- a/chapter2/ns_code1.ipynb
+++ b/chapter2/ns_code1.ipynb
@@ -74,7 +74,7 @@
"from dolfinx.fem.petsc import assemble_matrix, assemble_vector, apply_lifting, create_vector, set_bc\n",
"from dolfinx.io import VTXWriter\n",
"from dolfinx.mesh import create_unit_square\n",
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"from ufl import (FacetNormal, FiniteElement, Identity, TestFunction, TrialFunction, VectorElement,\n",
" div, dot, ds, dx, inner, lhs, nabla_grad, rhs, sym)\n",
"\n",
@@ -1276,7 +1276,7 @@
],
"source": [
"pyvista.start_xvfb()\n",
- "topology, cell_types, geometry = create_vtk_mesh(V)\n",
+ "topology, cell_types, geometry = vtk_mesh(V)\n",
"values = np.zeros((geometry.shape[0], 3), dtype=np.float64)\n",
"values[:, :len(u_n)] = u_n.x.array.real.reshape((geometry.shape[0], len(u_n)))\n",
"\n",
@@ -1286,7 +1286,7 @@
"glyphs = function_grid.glyph(orient=\"u\", factor=0.2)\n",
"\n",
"# Create a pyvista-grid for the mesh\n",
- "grid = pyvista.UnstructuredGrid(*create_vtk_mesh(mesh, mesh.topology.dim))\n",
+ "grid = pyvista.UnstructuredGrid(*vtk_mesh(mesh, mesh.topology.dim))\n",
"\n",
"# Create plotter\n",
"plotter = pyvista.Plotter()\n",
diff --git a/chapter2/ns_code1.py b/chapter2/ns_code1.py
index a8c40757..0b33c6ba 100644
--- a/chapter2/ns_code1.py
+++ b/chapter2/ns_code1.py
@@ -70,7 +70,7 @@
from dolfinx.fem.petsc import assemble_matrix, assemble_vector, apply_lifting, create_vector, set_bc
from dolfinx.io import VTXWriter
from dolfinx.mesh import create_unit_square
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
from ufl import (FacetNormal, FiniteElement, Identity, TestFunction, TrialFunction, VectorElement,
div, dot, ds, dx, inner, lhs, nabla_grad, rhs, sym)
@@ -323,7 +323,7 @@ def u_exact(x):
# +
pyvista.start_xvfb()
-topology, cell_types, geometry = create_vtk_mesh(V)
+topology, cell_types, geometry = vtk_mesh(V)
values = np.zeros((geometry.shape[0], 3), dtype=np.float64)
values[:, :len(u_n)] = u_n.x.array.real.reshape((geometry.shape[0], len(u_n)))
@@ -333,7 +333,7 @@ def u_exact(x):
glyphs = function_grid.glyph(orient="u", factor=0.2)
# Create a pyvista-grid for the mesh
-grid = pyvista.UnstructuredGrid(*create_vtk_mesh(mesh, mesh.topology.dim))
+grid = pyvista.UnstructuredGrid(*vtk_mesh(mesh, mesh.topology.dim))
# Create plotter
plotter = pyvista.Plotter()
diff --git a/chapter2/ns_code2.ipynb b/chapter2/ns_code2.ipynb
index 68dc3906..8bfcb224 100644
--- a/chapter2/ns_code2.ipynb
+++ b/chapter2/ns_code2.ipynb
@@ -63,7 +63,7 @@
" assemble_scalar, dirichletbc, form, locate_dofs_topological, set_bc)\n",
"from dolfinx.fem.petsc import (apply_lifting, assemble_matrix, assemble_vector,\n",
" create_vector, create_matrix, set_bc)\n",
- "from dolfinx.graph import create_adjacencylist\n",
+ "from dolfinx.graph import adjacencylist\n",
"from dolfinx.geometry import bb_tree, compute_collisions_points, compute_colliding_cells\n",
"from dolfinx.io import (VTXWriter, distribute_entity_data, gmshio)\n",
"from dolfinx.mesh import create_mesh, meshtags_from_entities\n",
diff --git a/chapter2/ns_code2.py b/chapter2/ns_code2.py
index 95a041e7..dfa8ae3a 100644
--- a/chapter2/ns_code2.py
+++ b/chapter2/ns_code2.py
@@ -55,7 +55,7 @@
assemble_scalar, dirichletbc, form, locate_dofs_topological, set_bc)
from dolfinx.fem.petsc import (apply_lifting, assemble_matrix, assemble_vector,
create_vector, create_matrix, set_bc)
-from dolfinx.graph import create_adjacencylist
+from dolfinx.graph import adjacencylist
from dolfinx.geometry import bb_tree, compute_collisions_points, compute_colliding_cells
from dolfinx.io import (VTXWriter, distribute_entity_data, gmshio)
from dolfinx.mesh import create_mesh, meshtags_from_entities
diff --git a/chapter3/component_bc.ipynb b/chapter3/component_bc.ipynb
index 33bc887b..3e26316d 100644
--- a/chapter3/component_bc.ipynb
+++ b/chapter3/component_bc.ipynb
@@ -43,7 +43,7 @@
},
"outputs": [],
"source": [
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"import pyvista\n",
"import numpy as np\n",
"from mpi4py import MPI\n",
@@ -998,7 +998,7 @@
"\n",
"# Create plotter and pyvista grid\n",
"p = pyvista.Plotter()\n",
- "topology, cell_types, x = create_vtk_mesh(V)\n",
+ "topology, cell_types, x = vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(topology, cell_types, x)\n",
"\n",
"# Attach vector values to grid and warp grid by vector\n",
diff --git a/chapter3/component_bc.py b/chapter3/component_bc.py
index de2ade80..def72298 100644
--- a/chapter3/component_bc.py
+++ b/chapter3/component_bc.py
@@ -43,7 +43,7 @@
# $\partial\Omega_N$ is the left and right side of the beam, $\partial\Omega_D$ the bottom of the beam, while $\partial\Omega_{Dx}$ is the right side of the beam.
# We will prescribe a displacement $u_x=0$ on the right side of the beam, while the beam is being deformed under its own weight. The sides of the box is traction free.
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
import pyvista
import numpy as np
from mpi4py import MPI
@@ -139,7 +139,7 @@ def sigma(u):
# Create plotter and pyvista grid
p = pyvista.Plotter()
-topology, cell_types, x = create_vtk_mesh(V)
+topology, cell_types, x = vtk_mesh(V)
grid = pyvista.UnstructuredGrid(topology, cell_types, x)
# Attach vector values to grid and warp grid by vector
diff --git a/chapter3/em.ipynb b/chapter3/em.ipynb
index 8674b36f..5ea85de1 100644
--- a/chapter3/em.ipynb
+++ b/chapter3/em.ipynb
@@ -23,12 +23,15 @@
"$$\n",
"\\nabla \\cdot D = \\rho,\n",
"$$\n",
+ "\n",
"$$\n",
"\\nabla \\cdot B = 0,\n",
"$$\n",
+ "\n",
"$$\n",
"\\nabla \\times E = -\\frac{\\partial B}{\\partial t},\n",
"$$\n",
+ "\n",
"$$\n",
"\\nabla \\times H = \\frac{\\partial D}{\\partial t}+ J.\n",
"$$\n",
@@ -54,6 +57,7 @@
"$$\n",
" - \\nabla \\cdot (\\mu^{-1} \\nabla A_z) = J_z \\qquad \\text{in } \\mathbb{R}^2,\\\\\n",
"$$\n",
+ "\n",
"$$\n",
"\\lim_{\\vert(x,y)\\vert\\to \\infty}A_z = 0.\n",
"$$\n",
@@ -70,9 +74,10 @@
"$$\n",
"a(A_z, v)=\\int_\\Omega \\mu^{-1}\\nabla A_z \\cdot \\nabla v ~\\mathrm{d}x,\n",
"$$\n",
+ "\n",
"$$\n",
"L(v)=\\int_\\Omega J_z v~\\mathrm{d} x.\n",
- "$$"
+ "$$\n"
]
},
{
@@ -81,7 +86,7 @@
"source": [
"## Meshing a complex structure with subdomains\n",
"\n",
- "We create the domain visualized in the cross section figure above using gmsh. Note that we are using the `gmsh.model.occ.fragment` commands to ensure that the boundaries of the wires are resolved in the mesh."
+ "We create the domain visualized in the cross section figure above using gmsh. Note that we are using the `gmsh.model.occ.fragment` commands to ensure that the boundaries of the wires are resolved in the mesh.\n"
]
},
{
@@ -191,7 +196,7 @@
"from dolfinx.io import XDMFFile\n",
"from dolfinx.io.gmshio import model_to_mesh\n",
"from dolfinx.mesh import compute_midpoints, locate_entities_boundary\n",
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"\n",
"from ufl import TestFunction, TrialFunction, as_vector, dot, dx, grad, inner\n",
"from mpi4py import MPI\n",
@@ -298,7 +303,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As in [the Navier-Stokes tutorial](../chapter2/ns_code2) we load the mesh directly into DOLFINx, without writing it to file."
+ "As in [the Navier-Stokes tutorial](../chapter2/ns_code2) we load the mesh directly into DOLFINx, without writing it to file.\n"
]
},
{
@@ -317,7 +322,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "To inspect the mesh, we use Paraview, and obtain the following mesh"
+ "To inspect the mesh, we use Paraview, and obtain the following mesh\n"
]
},
{
@@ -337,7 +342,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can also visualize the subdommains using pyvista"
+ "We can also visualize the subdommains using pyvista\n"
]
},
{
@@ -350,540 +355,16 @@
"outputs": [
{
"data": {
- "application/javascript": [
- "(function(root) {\n",
- " function now() {\n",
- " return new Date();\n",
- " }\n",
- "\n",
- " var force = true;\n",
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- " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
- " var reloading = false;\n",
- " var Bokeh = root.Bokeh;\n",
- " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- "\n",
- " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
- " root._bokeh_timeout = Date.now() + 5000;\n",
- " root._bokeh_failed_load = false;\n",
- " }\n",
- "\n",
- " function run_callbacks() {\n",
- " try {\n",
- " root._bokeh_onload_callbacks.forEach(function(callback) {\n",
- " if (callback != null)\n",
- " callback();\n",
- " });\n",
- " } finally {\n",
- " delete root._bokeh_onload_callbacks;\n",
- " }\n",
- " console.debug(\"Bokeh: all callbacks have finished\");\n",
- " }\n",
- "\n",
- " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
- " if (css_urls == null) css_urls = [];\n",
- " if (js_urls == null) js_urls = [];\n",
- " if (js_modules == null) js_modules = [];\n",
- " if (js_exports == null) js_exports = {};\n",
- "\n",
- " root._bokeh_onload_callbacks.push(callback);\n",
- "\n",
- " if (root._bokeh_is_loading > 0) {\n",
- " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
- " return null;\n",
- " }\n",
- " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
- " run_callbacks();\n",
- " return null;\n",
- " }\n",
- " if (!reloading) {\n",
- " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
- " }\n",
- "\n",
- " function on_load() {\n",
- " root._bokeh_is_loading--;\n",
- " if (root._bokeh_is_loading === 0) {\n",
- " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
- " run_callbacks()\n",
- " }\n",
- " }\n",
- " window._bokeh_on_load = on_load\n",
- "\n",
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- " require([\"vtk\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel\"], function(jsPanel) {\n",
- "\twindow.jsPanel = jsPanel\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-modal\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-tooltip\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-hint\"], function() {\n",
- "\ton_load()\n",
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- " require([\"jspanel-layout\"], function() {\n",
- "\ton_load()\n",
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- "\ton_load()\n",
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- " require([\"gridstack\"], function(GridStack) {\n",
- "\twindow.GridStack = GridStack\n",
- "\ton_load()\n",
- " })\n",
- " require([\"notyf\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " root._bokeh_is_loading = css_urls.length + 10;\n",
- " } else {\n",
- " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
- " }\n",
- "\n",
- " var existing_stylesheets = []\n",
- " var links = document.getElementsByTagName('link')\n",
- " for (var i = 0; i < links.length; i++) {\n",
- " var link = links[i]\n",
- " if (link.href != null) {\n",
- "\texisting_stylesheets.push(link.href)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < css_urls.length; i++) {\n",
- " var url = css_urls[i];\n",
- " if (existing_stylesheets.indexOf(url) !== -1) {\n",
- "\ton_load()\n",
- "\tcontinue;\n",
- " }\n",
- " const element = document.createElement(\"link\");\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.rel = \"stylesheet\";\n",
- " element.type = \"text/css\";\n",
- " element.href = url;\n",
- " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
- " document.body.appendChild(element);\n",
- " } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } var existing_scripts = []\n",
- " var scripts = document.getElementsByTagName('script')\n",
- " for (var i = 0; i < scripts.length; i++) {\n",
- " var script = scripts[i]\n",
- " if (script.src != null) {\n",
- "\texisting_scripts.push(script.src)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < js_urls.length; i++) {\n",
- " var url = js_urls[i];\n",
- " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.src = url;\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
- " }\n",
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- "\tcontinue;\n",
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- " element.async = false;\n",
- " element.src = url;\n",
- " element.type = \"module\";\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " for (const name in js_exports) {\n",
- " var url = js_exports[name];\n",
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- "\tcontinue;\n",
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- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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- " import ${name} from \"${url}\"\n",
- " window.${name} = ${name}\n",
- " window._bokeh_on_load()\n",
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- "\n",
- " function inject_raw_css(css) {\n",
- " const element = document.createElement(\"style\");\n",
- " element.appendChild(document.createTextNode(css));\n",
- " document.body.appendChild(element);\n",
- " }\n",
- "\n",
- " var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n",
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- " var css_urls = [];\n",
- " var inline_js = [ function(Bokeh) {\n",
- " Bokeh.set_log_level(\"info\");\n",
- " },\n",
- "function(Bokeh) {} // ensure no trailing comma for IE\n",
- " ];\n",
- "\n",
- " function run_inline_js() {\n",
- " if ((root.Bokeh !== undefined) || (force === true)) {\n",
- " for (var i = 0; i < inline_js.length; i++) {\n",
- " inline_js[i].call(root, root.Bokeh);\n",
- " }\n",
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- " if (Bokeh != undefined && !reloading) {\n",
- "\tvar NewBokeh = root.Bokeh;\n",
- "\tif (Bokeh.versions === undefined) {\n",
- "\t Bokeh.versions = new Map();\n",
- "\t}\n",
- "\tif (NewBokeh.version !== Bokeh.version) {\n",
- "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
- "\t}\n",
- "\troot.Bokeh = Bokeh;\n",
- " }} else if (Date.now() < root._bokeh_timeout) {\n",
- " setTimeout(run_inline_js, 100);\n",
- " } else if (!root._bokeh_failed_load) {\n",
- " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
- " root._bokeh_failed_load = true;\n",
- " }\n",
- " root._bokeh_is_initializing = false\n",
- " }\n",
- "\n",
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- " // Implement a backoff loop that tries to ensure we do not load multiple\n",
- " // versions of Bokeh and its dependencies at the same time.\n",
- " // In recent versions we use the root._bokeh_is_initializing flag\n",
- " // to determine whether there is an ongoing attempt to initialize\n",
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- " // before older versions are fully initialized.\n",
- " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
- " root._bokeh_is_initializing = false;\n",
- " root._bokeh_onload_callbacks = undefined;\n",
- " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
- " load_or_wait();\n",
- " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
- " setTimeout(load_or_wait, 100);\n",
- " } else {\n",
- " Bokeh = root.Bokeh;\n",
- " bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- " root._bokeh_is_initializing = true\n",
- " root._bokeh_onload_callbacks = []\n",
- " if (!reloading && (!bokeh_loaded || is_dev)) {\n",
- "\troot.Bokeh = undefined;\n",
- " }\n",
- " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
- "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
- "\trun_inline_js();\n",
- " });\n",
- " }\n",
- " }\n",
- " // Give older versions of the autoload script a head-start to ensure\n",
- " // they initialize before we start loading newer version.\n",
- " setTimeout(load_or_wait, 100)\n",
- "}(window));"
- ],
- "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
+ "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; 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window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
+ "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n",
+ "application/vnd.holoviews_load.v0+json": ""
},
"metadata": {},
"output_type": "display_data"
@@ -1082,7 +563,7 @@
"source": [
"pyvista.start_xvfb()\n",
"plotter = pyvista.Plotter()\n",
- "grid = pyvista.UnstructuredGrid(*create_vtk_mesh(mesh, mesh.topology.dim))\n",
+ "grid = pyvista.UnstructuredGrid(*vtk_mesh(mesh, mesh.topology.dim))\n",
"num_local_cells = mesh.topology.index_map(mesh.topology.dim).size_local\n",
"grid.cell_data[\"Marker\"] = ct.values[ct.indices < num_local_cells]\n",
"grid.set_active_scalars(\"Marker\")\n",
@@ -1098,7 +579,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Next, we define the discontinous functions for the permability $\\mu$ and current $J_z$ using the `MeshTags` as in [Defining material parameters through subdomains](./subdomains)"
+ "Next, we define the discontinous functions for the permability $\\mu$ and current $J_z$ using the `MeshTags` as in [Defining material parameters through subdomains](./subdomains)\n"
]
},
{
@@ -1138,7 +619,7 @@
"source": [
"In the code above, we have used a somewhat less extreme value for the magnetic permability of iron. This is to make the solution a little more interesting. It would otherwise be completely dominated by the field in the iron cylinder.\n",
"\n",
- "We can now define the weak problem"
+ "We can now define the weak problem\n"
]
},
{
@@ -1165,7 +646,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We are now ready to solve the linear problem"
+ "We are now ready to solve the linear problem\n"
]
},
{
@@ -1196,7 +677,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As we have computed the magnetic potential, we can now compute the magnetic field, by setting `B=curl(A_z)`. Note that as we have chosen a function space of first order piecewise linear function to describe our potential, the curl of a function in this space is a discontinous zeroth order function (a function of cell-wise constants). We use `dolfinx.fem.Expression` to interpolate the curl into `W`."
+ "As we have computed the magnetic potential, we can now compute the magnetic field, by setting `B=curl(A_z)`. Note that as we have chosen a function space of first order piecewise linear function to describe our potential, the curl of a function in this space is a discontinous zeroth order function (a function of cell-wise constants). We use `dolfinx.fem.Expression` to interpolate the curl into `W`.\n"
]
},
{
@@ -1219,7 +700,7 @@
"source": [
"Note that we used `ufl.as_vector` to interpret the `Python`-tuple `(A_z.dx(1), -A_z.dx(0))` as a vector in the unified form language (UFL).\n",
"\n",
- "We now plot the magnetic potential $A_z$ and the magnetic field $B$. We start by creating a new plotter"
+ "We now plot the magnetic potential $A_z$ and the magnetic field $B$. We start by creating a new plotter\n"
]
},
{
@@ -1320,7 +801,7 @@
"source": [
"plotter = pyvista.Plotter()\n",
"\n",
- "Az_grid = pyvista.UnstructuredGrid(*create_vtk_mesh(V))\n",
+ "Az_grid = pyvista.UnstructuredGrid(*vtk_mesh(V))\n",
"Az_grid.point_data[\"A_z\"] = A_z.x.array\n",
"Az_grid.set_active_scalars(\"A_z\")\n",
"warp = Az_grid.warp_by_scalar(\"A_z\", factor=1e7)\n",
@@ -1336,10 +817,11 @@
"metadata": {},
"source": [
"## Visualizing the magnetic field\n",
+ "\n",
"As the magnetic field is a piecewise constant vector field, we need create a custom plotting function.\n",
"We start by computing the midpoints of each cell, which is where we would like to visualize the cell-wise constant vector.\n",
- "Next, we take the data from the function `B`, and shape it to become a 3D vector.\n",
- "We connect the vector field with the midpoint by using `pyvista.PolyData`."
+ "Next, we take the data from the function `B`, and shape it to become a 3D vector.\n",
+ "We connect the vector field with the midpoint by using `pyvista.PolyData`.\n"
]
},
{
diff --git a/chapter3/em.py b/chapter3/em.py
index 6173920d..e422c68e 100644
--- a/chapter3/em.py
+++ b/chapter3/em.py
@@ -95,7 +95,7 @@
from dolfinx.io import XDMFFile
from dolfinx.io.gmshio import model_to_mesh
from dolfinx.mesh import compute_midpoints, locate_entities_boundary
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
from ufl import TestFunction, TrialFunction, as_vector, dot, dx, grad, inner
from mpi4py import MPI
@@ -213,7 +213,7 @@
pyvista.start_xvfb()
plotter = pyvista.Plotter()
-grid = pyvista.UnstructuredGrid(*create_vtk_mesh(mesh, mesh.topology.dim))
+grid = pyvista.UnstructuredGrid(*vtk_mesh(mesh, mesh.topology.dim))
num_local_cells = mesh.topology.index_map(mesh.topology.dim).size_local
grid.cell_data["Marker"] = ct.values[ct.indices < num_local_cells]
grid.set_active_scalars("Marker")
@@ -288,7 +288,7 @@
# +
plotter = pyvista.Plotter()
-Az_grid = pyvista.UnstructuredGrid(*create_vtk_mesh(V))
+Az_grid = pyvista.UnstructuredGrid(*vtk_mesh(V))
Az_grid.point_data["A_z"] = A_z.x.array
Az_grid.set_active_scalars("A_z")
warp = Az_grid.warp_by_scalar("A_z", factor=1e7)
diff --git a/chapter3/multiple_dirichlet.ipynb b/chapter3/multiple_dirichlet.ipynb
index 413d120c..285622e1 100644
--- a/chapter3/multiple_dirichlet.ipynb
+++ b/chapter3/multiple_dirichlet.ipynb
@@ -40,7 +40,7 @@
" assemble_scalar, dirichletbc, form, locate_dofs_geometrical)\n",
"from dolfinx.fem.petsc import LinearProblem\n",
"from dolfinx.mesh import create_unit_square\n",
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"\n",
"from mpi4py import MPI\n",
"from ufl import SpatialCoordinate, TestFunction, TrialFunction, dot, dx, ds, grad\n",
@@ -160,738 +160,19 @@
"outputs": [
{
"data": {
- "application/javascript": [
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- " function now() {\n",
- " return new Date();\n",
- " }\n",
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- " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
- " var reloading = false;\n",
- " var Bokeh = root.Bokeh;\n",
- " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- "\n",
- " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
- " root._bokeh_timeout = Date.now() + 5000;\n",
- " root._bokeh_failed_load = false;\n",
- " }\n",
- "\n",
- " function run_callbacks() {\n",
- " try {\n",
- " root._bokeh_onload_callbacks.forEach(function(callback) {\n",
- " if (callback != null)\n",
- " callback();\n",
- " });\n",
- " } finally {\n",
- " delete root._bokeh_onload_callbacks;\n",
- " }\n",
- " console.debug(\"Bokeh: all callbacks have finished\");\n",
- " }\n",
- "\n",
- " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
- " if (css_urls == null) css_urls = [];\n",
- " if (js_urls == null) js_urls = [];\n",
- " if (js_modules == null) js_modules = [];\n",
- " if (js_exports == null) js_exports = {};\n",
- "\n",
- " root._bokeh_onload_callbacks.push(callback);\n",
- "\n",
- " if (root._bokeh_is_loading > 0) {\n",
- " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
- " return null;\n",
- " }\n",
- " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
- " run_callbacks();\n",
- " return null;\n",
- " }\n",
- " if (!reloading) {\n",
- " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
- " }\n",
- "\n",
- " function on_load() {\n",
- " root._bokeh_is_loading--;\n",
- " if (root._bokeh_is_loading === 0) {\n",
- " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
- " run_callbacks()\n",
- " }\n",
- " }\n",
- " window._bokeh_on_load = on_load\n",
- "\n",
- " function on_error() {\n",
- " console.error(\"failed to load \" + url);\n",
- " }\n",
- "\n",
- " var skip = [];\n",
- " if (window.requirejs) {\n",
- " window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
- " require([\"vtk\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel\"], function(jsPanel) {\n",
- "\twindow.jsPanel = jsPanel\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-modal\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-tooltip\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-hint\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-layout\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-contextmenu\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-dock\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"gridstack\"], function(GridStack) {\n",
- "\twindow.GridStack = GridStack\n",
- "\ton_load()\n",
- " })\n",
- " require([\"notyf\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " root._bokeh_is_loading = css_urls.length + 10;\n",
- " } else {\n",
- " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
- " }\n",
- "\n",
- " var existing_stylesheets = []\n",
- " var links = document.getElementsByTagName('link')\n",
- " for (var i = 0; i < links.length; i++) {\n",
- " var link = links[i]\n",
- " if (link.href != null) {\n",
- "\texisting_stylesheets.push(link.href)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < css_urls.length; i++) {\n",
- " var url = css_urls[i];\n",
- " if (existing_stylesheets.indexOf(url) !== -1) {\n",
- "\ton_load()\n",
- "\tcontinue;\n",
- " }\n",
- " const element = document.createElement(\"link\");\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.rel = \"stylesheet\";\n",
- " element.type = \"text/css\";\n",
- " element.href = url;\n",
- " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
- " document.body.appendChild(element);\n",
- " } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } var existing_scripts = []\n",
- " var scripts = document.getElementsByTagName('script')\n",
- " for (var i = 0; i < scripts.length; i++) {\n",
- " var script = scripts[i]\n",
- " if (script.src != null) {\n",
- "\texisting_scripts.push(script.src)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < js_urls.length; i++) {\n",
- " var url = js_urls[i];\n",
- " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.src = url;\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " for (var i = 0; i < js_modules.length; i++) {\n",
- " var url = js_modules[i];\n",
- " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.src = url;\n",
- " element.type = \"module\";\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " for (const name in js_exports) {\n",
- " var url = js_exports[name];\n",
- " if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.type = \"module\";\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " element.textContent = `\n",
- " import ${name} from \"${url}\"\n",
- " window.${name} = ${name}\n",
- " window._bokeh_on_load()\n",
- " `\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " if (!js_urls.length && !js_modules.length) {\n",
- " on_load()\n",
- " }\n",
- " };\n",
- "\n",
- " function inject_raw_css(css) {\n",
- " const element = document.createElement(\"style\");\n",
- " element.appendChild(document.createTextNode(css));\n",
- " document.body.appendChild(element);\n",
- " }\n",
- "\n",
- " var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n",
- " var js_modules = [];\n",
- " var js_exports = {};\n",
- " var css_urls = [];\n",
- " var inline_js = [ function(Bokeh) {\n",
- " Bokeh.set_log_level(\"info\");\n",
- " },\n",
- "function(Bokeh) {} // ensure no trailing comma for IE\n",
- " ];\n",
- "\n",
- " function run_inline_js() {\n",
- " if ((root.Bokeh !== undefined) || (force === true)) {\n",
- " for (var i = 0; i < inline_js.length; i++) {\n",
- " inline_js[i].call(root, root.Bokeh);\n",
- " }\n",
- " // Cache old bokeh versions\n",
- " if (Bokeh != undefined && !reloading) {\n",
- "\tvar NewBokeh = root.Bokeh;\n",
- "\tif (Bokeh.versions === undefined) {\n",
- "\t Bokeh.versions = new Map();\n",
- "\t}\n",
- "\tif (NewBokeh.version !== Bokeh.version) {\n",
- "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
- "\t}\n",
- "\troot.Bokeh = Bokeh;\n",
- " }} else if (Date.now() < root._bokeh_timeout) {\n",
- " setTimeout(run_inline_js, 100);\n",
- " } else if (!root._bokeh_failed_load) {\n",
- " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
- " root._bokeh_failed_load = true;\n",
- " }\n",
- " root._bokeh_is_initializing = false\n",
- " }\n",
- "\n",
- " function load_or_wait() {\n",
- " // Implement a backoff loop that tries to ensure we do not load multiple\n",
- " // versions of Bokeh and its dependencies at the same time.\n",
- " // In recent versions we use the root._bokeh_is_initializing flag\n",
- " // to determine whether there is an ongoing attempt to initialize\n",
- " // bokeh, however for backward compatibility we also try to ensure\n",
- " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
- " // before older versions are fully initialized.\n",
- " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
- " root._bokeh_is_initializing = false;\n",
- " root._bokeh_onload_callbacks = undefined;\n",
- " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
- " load_or_wait();\n",
- " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
- " setTimeout(load_or_wait, 100);\n",
- " } else {\n",
- " Bokeh = root.Bokeh;\n",
- " bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- " root._bokeh_is_initializing = true\n",
- " root._bokeh_onload_callbacks = []\n",
- " if (!reloading && (!bokeh_loaded || is_dev)) {\n",
- "\troot.Bokeh = undefined;\n",
- " }\n",
- " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
- "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
- "\trun_inline_js();\n",
- " });\n",
- " }\n",
- " }\n",
- " // Give older versions of the autoload script a head-start to ensure\n",
- " // they initialize before we start loading newer version.\n",
- " setTimeout(load_or_wait, 100)\n",
- "}(window));"
- ],
- "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/javascript": [
- "\n",
- "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
- " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
- "}\n",
- "\n",
- "\n",
- " function JupyterCommManager() {\n",
- " }\n",
- "\n",
- " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
- " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
- " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
- " comm_manager.register_target(comm_id, function(comm) {\n",
- " comm.on_msg(msg_handler);\n",
- " });\n",
- " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
- " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
- " comm.onMsg = msg_handler;\n",
- " });\n",
- " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
- " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
- " var messages = comm.messages[Symbol.asyncIterator]();\n",
- " function processIteratorResult(result) {\n",
- " var message = result.value;\n",
- " console.log(message)\n",
- " var content = {data: message.data, comm_id};\n",
- " var buffers = []\n",
- " for (var buffer of message.buffers || []) {\n",
- " buffers.push(new DataView(buffer))\n",
- " }\n",
- " var metadata = message.metadata || {};\n",
- " var msg = {content, buffers, metadata}\n",
- " msg_handler(msg);\n",
- " return messages.next().then(processIteratorResult);\n",
- " }\n",
- " return messages.next().then(processIteratorResult);\n",
- " })\n",
- " }\n",
- " }\n",
- "\n",
- " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
- " if (comm_id in window.PyViz.comms) {\n",
- " return window.PyViz.comms[comm_id];\n",
- " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
- " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
- " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
- " if (msg_handler) {\n",
- " comm.on_msg(msg_handler);\n",
- " }\n",
- " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
- " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
- " comm.open();\n",
- " if (msg_handler) {\n",
- " comm.onMsg = msg_handler;\n",
- " }\n",
- " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
- " var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
- " comm_promise.then((comm) => {\n",
- " window.PyViz.comms[comm_id] = comm;\n",
- " if (msg_handler) {\n",
- " var messages = comm.messages[Symbol.asyncIterator]();\n",
- " function processIteratorResult(result) {\n",
- " var message = result.value;\n",
- " var content = {data: message.data};\n",
- " var metadata = message.metadata || {comm_id};\n",
- " var msg = {content, metadata}\n",
- " msg_handler(msg);\n",
- " return messages.next().then(processIteratorResult);\n",
- " }\n",
- " return messages.next().then(processIteratorResult);\n",
- " }\n",
- " }) \n",
- " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
- " return comm_promise.then((comm) => {\n",
- " comm.send(data, metadata, buffers, disposeOnDone);\n",
- " });\n",
- " };\n",
- " var comm = {\n",
- " send: sendClosure\n",
- " };\n",
- " }\n",
- " window.PyViz.comms[comm_id] = comm;\n",
- " return comm;\n",
- " }\n",
- " window.PyViz.comm_manager = new JupyterCommManager();\n",
- " \n",
- "\n",
- "\n",
- "var JS_MIME_TYPE = 'application/javascript';\n",
- "var HTML_MIME_TYPE = 'text/html';\n",
- "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
- "var CLASS_NAME = 'output';\n",
- "\n",
- "/**\n",
- " * Render data to the DOM node\n",
- " */\n",
- "function render(props, node) {\n",
- " var div = document.createElement(\"div\");\n",
- " var script = document.createElement(\"script\");\n",
- " node.appendChild(div);\n",
- " node.appendChild(script);\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when a new output is added\n",
- " */\n",
- "function handle_add_output(event, handle) {\n",
- " var output_area = handle.output_area;\n",
- " var output = handle.output;\n",
- " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
- " return\n",
- " }\n",
- " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
- " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
- " if (id !== undefined) {\n",
- " var nchildren = toinsert.length;\n",
- " var html_node = toinsert[nchildren-1].children[0];\n",
- " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var scripts = [];\n",
- " var nodelist = html_node.querySelectorAll(\"script\");\n",
- " for (var i in nodelist) {\n",
- " if (nodelist.hasOwnProperty(i)) {\n",
- " scripts.push(nodelist[i])\n",
- " }\n",
- " }\n",
- "\n",
- " scripts.forEach( function (oldScript) {\n",
- " var newScript = document.createElement(\"script\");\n",
- " var attrs = [];\n",
- " var nodemap = oldScript.attributes;\n",
- " for (var j in nodemap) {\n",
- " if (nodemap.hasOwnProperty(j)) {\n",
- " attrs.push(nodemap[j])\n",
- " }\n",
- " }\n",
- " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
- " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
- " oldScript.parentNode.replaceChild(newScript, oldScript);\n",
- " });\n",
- " if (JS_MIME_TYPE in output.data) {\n",
- " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
- " }\n",
- " output_area._hv_plot_id = id;\n",
- " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
- " window.PyViz.plot_index[id] = Bokeh.index[id];\n",
- " } else {\n",
- " window.PyViz.plot_index[id] = null;\n",
- " }\n",
- " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
- " var bk_div = document.createElement(\"div\");\n",
- " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var script_attrs = bk_div.children[0].attributes;\n",
- " for (var i = 0; i < script_attrs.length; i++) {\n",
- " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
- " }\n",
- " // store reference to server id on output_area\n",
- " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when an output is cleared or removed\n",
- " */\n",
- "function handle_clear_output(event, handle) {\n",
- " var id = handle.cell.output_area._hv_plot_id;\n",
- " var server_id = handle.cell.output_area._bokeh_server_id;\n",
- " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
- " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
- " if (server_id !== null) {\n",
- " comm.send({event_type: 'server_delete', 'id': server_id});\n",
- " return;\n",
- " } else if (comm !== null) {\n",
- " comm.send({event_type: 'delete', 'id': id});\n",
- " }\n",
- " delete PyViz.plot_index[id];\n",
- " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
- " var doc = window.Bokeh.index[id].model.document\n",
- " doc.clear();\n",
- " const i = window.Bokeh.documents.indexOf(doc);\n",
- " if (i > -1) {\n",
- " window.Bokeh.documents.splice(i, 1);\n",
- " }\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle kernel restart event\n",
- " */\n",
- "function handle_kernel_cleanup(event, handle) {\n",
- " delete PyViz.comms[\"hv-extension-comm\"];\n",
- " window.PyViz.plot_index = {}\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle update_display_data messages\n",
- " */\n",
- "function handle_update_output(event, handle) {\n",
- " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
- " handle_add_output(event, handle)\n",
- "}\n",
- "\n",
- "function register_renderer(events, OutputArea) {\n",
- " function append_mime(data, metadata, element) {\n",
- " // create a DOM node to render to\n",
- " var toinsert = this.create_output_subarea(\n",
- " metadata,\n",
- " CLASS_NAME,\n",
- " EXEC_MIME_TYPE\n",
- " );\n",
- " this.keyboard_manager.register_events(toinsert);\n",
- " // Render to node\n",
- " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
- " render(props, toinsert[0]);\n",
- " element.append(toinsert);\n",
- " return toinsert\n",
- " }\n",
- "\n",
- " events.on('output_added.OutputArea', handle_add_output);\n",
- " events.on('output_updated.OutputArea', handle_update_output);\n",
- " events.on('clear_output.CodeCell', handle_clear_output);\n",
- " events.on('delete.Cell', handle_clear_output);\n",
- " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
- "\n",
- " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
- " safe: true,\n",
- " index: 0\n",
- " });\n",
- "}\n",
- "\n",
- "if (window.Jupyter !== undefined) {\n",
- " try {\n",
- " var events = require('base/js/events');\n",
- " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
- " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
- " register_renderer(events, OutputArea);\n",
- " }\n",
- " } catch(err) {\n",
- " }\n",
- "}\n"
- ],
- "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='e64...], sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "37a09df5-4e9c-4eb6-8d20-3585f1549ffb"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
"pyvista.start_xvfb()\n",
- "pyvista_cells, cell_types, geometry = create_vtk_mesh(V)\n",
+ "pyvista_cells, cell_types, geometry = vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)\n",
"grid.point_data[\"u\"] = uh.x.array\n",
"grid.set_active_scalars(\"u\")\n",
@@ -905,6 +186,13 @@
"else:\n",
" figure = plotter.screenshot(\"multiple_dirichlet.png\")"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
diff --git a/chapter3/multiple_dirichlet.py b/chapter3/multiple_dirichlet.py
index 8eb55527..5bd5be4f 100644
--- a/chapter3/multiple_dirichlet.py
+++ b/chapter3/multiple_dirichlet.py
@@ -43,7 +43,7 @@
assemble_scalar, dirichletbc, form, locate_dofs_geometrical)
from dolfinx.fem.petsc import LinearProblem
from dolfinx.mesh import create_unit_square
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
from mpi4py import MPI
from ufl import SpatialCoordinate, TestFunction, TrialFunction, dot, dx, ds, grad
@@ -110,7 +110,7 @@ def u_exact(x):
# +
pyvista.start_xvfb()
-pyvista_cells, cell_types, geometry = create_vtk_mesh(V)
+pyvista_cells, cell_types, geometry = vtk_mesh(V)
grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)
grid.point_data["u"] = uh.x.array
grid.set_active_scalars("u")
@@ -123,3 +123,6 @@ def u_exact(x):
plotter.show()
else:
figure = plotter.screenshot("multiple_dirichlet.png")
+# -
+
+
diff --git a/chapter3/neumann_dirichlet_code.ipynb b/chapter3/neumann_dirichlet_code.ipynb
index 9aaf806c..534ea39e 100644
--- a/chapter3/neumann_dirichlet_code.ipynb
+++ b/chapter3/neumann_dirichlet_code.ipynb
@@ -7,6 +7,7 @@
},
"source": [
"# Combining Dirichlet and Neumann conditions\n",
+ "\n",
"Author: Jørgen S. Dokken\n",
"\n",
"Let's return to the Poisson problem from the [Fundamentals chapter](./../chapter1/fundamentals.md) and see how to extend the mathematics and the implementation to handle Dirichlet condition in combination with a Neumann condition.\n",
@@ -16,18 +17,21 @@
"-\\frac{\\partial u}{\\partial n}=g\n",
"$$\n",
"\n",
- "is applied to the remaining sides $y=0$ and $y=1$.\n",
+ "is applied to the remaining sides $y=0$ and $y=1$.\n",
"\n",
"## The PDE problem\n",
+ "\n",
"Let $\\Lambda_D$ and $\\Lambda_N$ denote parts of the boundary $\\partial \\Omega$ where the Dirichlet and Neumann conditions apply, respectively.\n",
"The complete boundary-value problem can be written as\n",
"\n",
"$$\n",
"-\\nabla^2 u =f \\qquad \\text{in } \\Omega,\n",
"$$\n",
+ "\n",
"$$\n",
"u=u_D \\qquad\\text{on } \\Lambda_D,\n",
"$$\n",
+ "\n",
"$$\n",
"-\\frac{\\partial u}{\\partial n}=g \\qquad \\text{on }\\Lambda_N\n",
"$$\n",
@@ -37,12 +41,14 @@
"$$\n",
"f(x,y)=-6,\n",
"$$\n",
+ "\n",
"$$\n",
"g(x,y)=\\begin{cases}\n",
"0, & y=0,\\\\\n",
"-4, & y=1,\n",
"\\end{cases}\n",
"$$\n",
+ "\n",
"$$\n",
"u_D(x,y)=1+x^2+2y^2.\n",
"$$\n",
@@ -54,6 +60,7 @@
"$$\n",
"\n",
"## The variational formulation\n",
+ "\n",
"The first task is to derive the variational formulatin. This time we cannot omit the boundary term arising from integration by parts, because $v$ is only zero on $\\Lambda_D$. We have\n",
"\n",
"$$\n",
@@ -72,17 +79,20 @@
"$$\n",
" \\int_\\Omega \\nabla u \\cdot \\nabla v~\\mathrm{d} x = \\int_\\Omega fv~\\mathrm{d} x - \\int_{\\Lambda_N}gv~\\mathrm{d}s.\n",
"$$\n",
+ "\n",
"Expressing this equation in the standard notation $a(u,v)=L(v)$ is straight-forward with\n",
"\n",
"$$\n",
" a(u,v) = \\int_{\\Omega} \\nabla u \\cdot \\nabla v ~\\mathrm{d} x,\\\\\n",
"$$\n",
+ "\n",
"$$\n",
"L(v) = \\int_{\\Omega} fv ~\\mathrm{d} x - \\int_{\\Lambda_N} gv~\\mathrm{d} s.\n",
"$$\n",
"\n",
"## Implementation\n",
- "As in the previous example, we define our mesh,function space and bilinear form $a(u,v)$."
+ "\n",
+ "As in the previous example, we define our mesh,function space and bilinear form $a(u,v)$.\n"
]
},
{
@@ -96,7 +106,7 @@
" assemble_scalar, dirichletbc, form, locate_dofs_geometrical)\n",
"from dolfinx.fem.petsc import LinearProblem\n",
"from dolfinx.mesh import create_unit_square\n",
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"\n",
"from mpi4py import MPI\n",
"from ufl import SpatialCoordinate, TestFunction, TrialFunction, dot, ds, dx, grad\n",
@@ -115,7 +125,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Now we get to the Neumann and Dirichlet boundary condition. As previously, we use a Python-function to define the boundary where we should have a Dirichlet condition. Then, with this function, we locate degrees of freedom that fullfils this condition."
+ "Now we get to the Neumann and Dirichlet boundary condition. As previously, we use a Python-function to define the boundary where we should have a Dirichlet condition. Then, with this function, we locate degrees of freedom that fullfils this condition.\n"
]
},
{
@@ -142,7 +152,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The next step is to define the Neumann condition. We first define $g$ uses `UFL`s `SpatialCoordinate`-function, and then in turn create a boundary integration measure `ds`. As the test function $v$ is zero on the boundary integrals over the Dirichlet boundary dissapears, and wee can integrate `g*v*ds` over the entire boundary."
+ "The next step is to define the Neumann condition. We first define $g$ uses `UFL`s `SpatialCoordinate`-function, and then in turn create a boundary integration measure `ds`. As the test function $v$ is zero on the boundary integrals over the Dirichlet boundary dissapears, and wee can integrate `g*v*ds` over the entire boundary.\n"
]
},
{
@@ -161,7 +171,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now assemble and solve the linear system of equations"
+ "We can now assemble and solve the linear system of equations\n"
]
},
{
@@ -203,7 +213,8 @@
"metadata": {},
"source": [
"## Visualization\n",
- "To look at the actual solution, run the script as a python script with `off_screen=True` or as a Jupyter notebook with `off_screen=False`"
+ "\n",
+ "To look at the actual solution, run the script as a python script with `off_screen=True` or as a Jupyter notebook with `off_screen=False`\n"
]
},
{
@@ -213,540 +224,16 @@
"outputs": [
{
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- "}(window));"
- ],
- "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
+ "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; 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window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
+ "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n",
+ "application/vnd.holoviews_load.v0+json": ""
},
"metadata": {},
"output_type": "display_data"
@@ -945,7 +432,7 @@
"source": [
"pyvista.start_xvfb()\n",
"\n",
- "pyvista_cells, cell_types, geometry = create_vtk_mesh(V)\n",
+ "pyvista_cells, cell_types, geometry = vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)\n",
"grid.point_data[\"u\"] = uh.x.array\n",
"grid.set_active_scalars(\"u\")\n",
diff --git a/chapter3/neumann_dirichlet_code.py b/chapter3/neumann_dirichlet_code.py
index 030ab477..66fbaef2 100644
--- a/chapter3/neumann_dirichlet_code.py
+++ b/chapter3/neumann_dirichlet_code.py
@@ -97,7 +97,7 @@
assemble_scalar, dirichletbc, form, locate_dofs_geometrical)
from dolfinx.fem.petsc import LinearProblem
from dolfinx.mesh import create_unit_square
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
from mpi4py import MPI
from ufl import SpatialCoordinate, TestFunction, TrialFunction, dot, ds, dx, grad
@@ -166,7 +166,7 @@ def boundary_D(x):
# +
pyvista.start_xvfb()
-pyvista_cells, cell_types, geometry = create_vtk_mesh(V)
+pyvista_cells, cell_types, geometry = vtk_mesh(V)
grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)
grid.point_data["u"] = uh.x.array
grid.set_active_scalars("u")
diff --git a/chapter3/robin_neumann_dirichlet.ipynb b/chapter3/robin_neumann_dirichlet.ipynb
index a03641c7..27307b78 100644
--- a/chapter3/robin_neumann_dirichlet.ipynb
+++ b/chapter3/robin_neumann_dirichlet.ipynb
@@ -91,7 +91,7 @@
"from dolfinx.fem.petsc import LinearProblem\n",
"from dolfinx.io import XDMFFile\n",
"from dolfinx.mesh import create_unit_square, locate_entities, meshtags\n",
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"\n",
"from mpi4py import MPI\n",
"from ufl import (FacetNormal, Measure, SpatialCoordinate, TestFunction, TrialFunction, \n",
@@ -313,732 +313,13 @@
"outputs": [
{
"data": {
- "application/javascript": [
- "(function(root) {\n",
- " function now() {\n",
- " return new Date();\n",
- " }\n",
- "\n",
- " var force = true;\n",
- " var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
- " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
- " var reloading = false;\n",
- " var Bokeh = root.Bokeh;\n",
- " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- "\n",
- " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
- " root._bokeh_timeout = Date.now() + 5000;\n",
- " root._bokeh_failed_load = false;\n",
- " }\n",
- "\n",
- " function run_callbacks() {\n",
- " try {\n",
- " root._bokeh_onload_callbacks.forEach(function(callback) {\n",
- " if (callback != null)\n",
- " callback();\n",
- " });\n",
- " } finally {\n",
- " delete root._bokeh_onload_callbacks;\n",
- " }\n",
- " console.debug(\"Bokeh: all callbacks have finished\");\n",
- " }\n",
- "\n",
- " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
- " if (css_urls == null) css_urls = [];\n",
- " if (js_urls == null) js_urls = [];\n",
- " if (js_modules == null) js_modules = [];\n",
- " if (js_exports == null) js_exports = {};\n",
- "\n",
- " root._bokeh_onload_callbacks.push(callback);\n",
- "\n",
- " if (root._bokeh_is_loading > 0) {\n",
- " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
- " return null;\n",
- " }\n",
- " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
- " run_callbacks();\n",
- " return null;\n",
- " }\n",
- " if (!reloading) {\n",
- " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
- " }\n",
- "\n",
- " function on_load() {\n",
- " root._bokeh_is_loading--;\n",
- " if (root._bokeh_is_loading === 0) {\n",
- " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
- " run_callbacks()\n",
- " }\n",
- " }\n",
- " window._bokeh_on_load = on_load\n",
- "\n",
- " function on_error() {\n",
- " console.error(\"failed to load \" + url);\n",
- " }\n",
- "\n",
- " var skip = [];\n",
- " if (window.requirejs) {\n",
- " window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
- " require([\"vtk\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel\"], function(jsPanel) {\n",
- "\twindow.jsPanel = jsPanel\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-modal\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-tooltip\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-hint\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-layout\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-contextmenu\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-dock\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"gridstack\"], function(GridStack) {\n",
- "\twindow.GridStack = GridStack\n",
- "\ton_load()\n",
- " })\n",
- " require([\"notyf\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " root._bokeh_is_loading = css_urls.length + 10;\n",
- " } else {\n",
- " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
- " }\n",
- "\n",
- " var existing_stylesheets = []\n",
- " var links = document.getElementsByTagName('link')\n",
- " for (var i = 0; i < links.length; i++) {\n",
- " var link = links[i]\n",
- " if (link.href != null) {\n",
- "\texisting_stylesheets.push(link.href)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < css_urls.length; i++) {\n",
- " var url = css_urls[i];\n",
- " if (existing_stylesheets.indexOf(url) !== -1) {\n",
- "\ton_load()\n",
- "\tcontinue;\n",
- " }\n",
- " const element = document.createElement(\"link\");\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.rel = \"stylesheet\";\n",
- " element.type = \"text/css\";\n",
- " element.href = url;\n",
- " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
- " document.body.appendChild(element);\n",
- " } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
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- " }\n",
- " } var existing_scripts = []\n",
- " var scripts = document.getElementsByTagName('script')\n",
- " for (var i = 0; i < scripts.length; i++) {\n",
- " var script = scripts[i]\n",
- " if (script.src != null) {\n",
- "\texisting_scripts.push(script.src)\n",
- " }\n",
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- " for (var i = 0; i < js_urls.length; i++) {\n",
- " var url = js_urls[i];\n",
- " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
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- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.src = url;\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
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- " var url = js_modules[i];\n",
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- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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- " element.textContent = `\n",
- " import ${name} from \"${url}\"\n",
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- " window._bokeh_on_load()\n",
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- " if (!js_urls.length && !js_modules.length) {\n",
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- " const element = document.createElement(\"style\");\n",
- " element.appendChild(document.createTextNode(css));\n",
- " document.body.appendChild(element);\n",
- " }\n",
- "\n",
- " var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n",
- " var js_modules = [];\n",
- " var js_exports = {};\n",
- " var css_urls = [];\n",
- " var inline_js = [ function(Bokeh) {\n",
- " Bokeh.set_log_level(\"info\");\n",
- " },\n",
- "function(Bokeh) {} // ensure no trailing comma for IE\n",
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- " for (var i = 0; i < inline_js.length; i++) {\n",
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- "\t}\n",
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- " } else if (!root._bokeh_failed_load) {\n",
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- " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
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- " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
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i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; 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- "\n",
- "\n",
- "var JS_MIME_TYPE = 'application/javascript';\n",
- "var HTML_MIME_TYPE = 'text/html';\n",
- "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
- "var CLASS_NAME = 'output';\n",
- "\n",
- "/**\n",
- " * Render data to the DOM node\n",
- " */\n",
- "function render(props, node) {\n",
- " var div = document.createElement(\"div\");\n",
- " var script = document.createElement(\"script\");\n",
- " node.appendChild(div);\n",
- " node.appendChild(script);\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when a new output is added\n",
- " */\n",
- "function handle_add_output(event, handle) {\n",
- " var output_area = handle.output_area;\n",
- " var output = handle.output;\n",
- " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
- " return\n",
- " }\n",
- " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
- " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
- " if (id !== undefined) {\n",
- " var nchildren = toinsert.length;\n",
- " var html_node = toinsert[nchildren-1].children[0];\n",
- " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var scripts = [];\n",
- " var nodelist = html_node.querySelectorAll(\"script\");\n",
- " for (var i in nodelist) {\n",
- " if (nodelist.hasOwnProperty(i)) {\n",
- " scripts.push(nodelist[i])\n",
- " }\n",
- " }\n",
- "\n",
- " scripts.forEach( function (oldScript) {\n",
- " var newScript = document.createElement(\"script\");\n",
- " var attrs = [];\n",
- " var nodemap = oldScript.attributes;\n",
- " for (var j in nodemap) {\n",
- " if (nodemap.hasOwnProperty(j)) {\n",
- " attrs.push(nodemap[j])\n",
- " }\n",
- " }\n",
- " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
- " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
- " oldScript.parentNode.replaceChild(newScript, oldScript);\n",
- " });\n",
- " if (JS_MIME_TYPE in output.data) {\n",
- " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
- " }\n",
- " output_area._hv_plot_id = id;\n",
- " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
- " window.PyViz.plot_index[id] = Bokeh.index[id];\n",
- " } else {\n",
- " window.PyViz.plot_index[id] = null;\n",
- " }\n",
- " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
- " var bk_div = document.createElement(\"div\");\n",
- " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var script_attrs = bk_div.children[0].attributes;\n",
- " for (var i = 0; i < script_attrs.length; i++) {\n",
- " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
- " }\n",
- " // store reference to server id on output_area\n",
- " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when an output is cleared or removed\n",
- " */\n",
- "function handle_clear_output(event, handle) {\n",
- " var id = handle.cell.output_area._hv_plot_id;\n",
- " var server_id = handle.cell.output_area._bokeh_server_id;\n",
- " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
- " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
- " if (server_id !== null) {\n",
- " comm.send({event_type: 'server_delete', 'id': server_id});\n",
- " return;\n",
- " } else if (comm !== null) {\n",
- " comm.send({event_type: 'delete', 'id': id});\n",
- " }\n",
- " delete PyViz.plot_index[id];\n",
- " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
- " var doc = window.Bokeh.index[id].model.document\n",
- " doc.clear();\n",
- " const i = window.Bokeh.documents.indexOf(doc);\n",
- " if (i > -1) {\n",
- " window.Bokeh.documents.splice(i, 1);\n",
- " }\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle kernel restart event\n",
- " */\n",
- "function handle_kernel_cleanup(event, handle) {\n",
- " delete PyViz.comms[\"hv-extension-comm\"];\n",
- " window.PyViz.plot_index = {}\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle update_display_data messages\n",
- " */\n",
- "function handle_update_output(event, handle) {\n",
- " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
- " handle_add_output(event, handle)\n",
- "}\n",
- "\n",
- "function register_renderer(events, OutputArea) {\n",
- " function append_mime(data, metadata, element) {\n",
- " // create a DOM node to render to\n",
- " var toinsert = this.create_output_subarea(\n",
- " metadata,\n",
- " CLASS_NAME,\n",
- " EXEC_MIME_TYPE\n",
- " );\n",
- " this.keyboard_manager.register_events(toinsert);\n",
- " // Render to node\n",
- " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
- " render(props, toinsert[0]);\n",
- " element.append(toinsert);\n",
- " return toinsert\n",
- " }\n",
- "\n",
- " events.on('output_added.OutputArea', handle_add_output);\n",
- " events.on('output_updated.OutputArea', handle_update_output);\n",
- " events.on('clear_output.CodeCell', handle_clear_output);\n",
- " events.on('delete.Cell', handle_clear_output);\n",
- " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
- "\n",
- " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
- " safe: true,\n",
- " index: 0\n",
- " });\n",
- "}\n",
- "\n",
- "if (window.Jupyter !== undefined) {\n",
- " try {\n",
- " var events = require('base/js/events');\n",
- " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
- " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
- " register_renderer(events, OutputArea);\n",
- " }\n",
- " } catch(err) {\n",
- " }\n",
- "}\n"
- ],
- "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
- },
- "metadata": {},
- "output_type": "display_data"
- },
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- "data": {
- "text/html": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
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- "text/html": [
- "\n",
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- },
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
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- "output_type": "display_data"
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- "output_type": "display_data"
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- "text/html": [
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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='9ab...], sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "460bab96-05df-4447-9423-28aefcebb6ca"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1051,7 +332,7 @@
"\n",
"# Visualize solution\n",
"pyvista.start_xvfb()\n",
- "pyvista_cells, cell_types, geometry = create_vtk_mesh(V)\n",
+ "pyvista_cells, cell_types, geometry = vtk_mesh(V)\n",
"grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)\n",
"grid.point_data[\"u\"] = uh.x.array\n",
"grid.set_active_scalars(\"u\")\n",
diff --git a/chapter3/robin_neumann_dirichlet.py b/chapter3/robin_neumann_dirichlet.py
index 087c6d78..73fc6c93 100644
--- a/chapter3/robin_neumann_dirichlet.py
+++ b/chapter3/robin_neumann_dirichlet.py
@@ -89,7 +89,7 @@
from dolfinx.fem.petsc import LinearProblem
from dolfinx.io import XDMFFile
from dolfinx.mesh import create_unit_square, locate_entities, meshtags
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
from mpi4py import MPI
from ufl import (FacetNormal, Measure, SpatialCoordinate, TestFunction, TrialFunction,
@@ -228,7 +228,7 @@ def type(self):
# Visualize solution
pyvista.start_xvfb()
-pyvista_cells, cell_types, geometry = create_vtk_mesh(V)
+pyvista_cells, cell_types, geometry = vtk_mesh(V)
grid = pyvista.UnstructuredGrid(pyvista_cells, cell_types, geometry)
grid.point_data["u"] = uh.x.array
grid.set_active_scalars("u")
diff --git a/chapter3/subdomains.ipynb b/chapter3/subdomains.ipynb
index f353bf84..c1e42bcc 100644
--- a/chapter3/subdomains.ipynb
+++ b/chapter3/subdomains.ipynb
@@ -24,7 +24,7 @@
"from dolfinx.fem.petsc import LinearProblem\n",
"from dolfinx.io import XDMFFile, gmshio\n",
"from dolfinx.mesh import create_unit_square, locate_entities\n",
- "from dolfinx.plot import create_vtk_mesh\n",
+ "from dolfinx.plot import vtk_mesh\n",
"\n",
"from ufl import (SpatialCoordinate, TestFunction, TrialFunction,\n",
" dx, grad, inner)\n",
@@ -154,742 +154,13 @@
"outputs": [
{
"data": {
- "application/javascript": [
- "(function(root) {\n",
- " function now() {\n",
- " return new Date();\n",
- " }\n",
- "\n",
- " var force = true;\n",
- " var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
- " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
- " var reloading = false;\n",
- " var Bokeh = root.Bokeh;\n",
- " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- "\n",
- " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
- " root._bokeh_timeout = Date.now() + 5000;\n",
- " root._bokeh_failed_load = false;\n",
- " }\n",
- "\n",
- " function run_callbacks() {\n",
- " try {\n",
- " root._bokeh_onload_callbacks.forEach(function(callback) {\n",
- " if (callback != null)\n",
- " callback();\n",
- " });\n",
- " } finally {\n",
- " delete root._bokeh_onload_callbacks;\n",
- " }\n",
- " console.debug(\"Bokeh: all callbacks have finished\");\n",
- " }\n",
- "\n",
- " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
- " if (css_urls == null) css_urls = [];\n",
- " if (js_urls == null) js_urls = [];\n",
- " if (js_modules == null) js_modules = [];\n",
- " if (js_exports == null) js_exports = {};\n",
- "\n",
- " root._bokeh_onload_callbacks.push(callback);\n",
- "\n",
- " if (root._bokeh_is_loading > 0) {\n",
- " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
- " return null;\n",
- " }\n",
- " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
- " run_callbacks();\n",
- " return null;\n",
- " }\n",
- " if (!reloading) {\n",
- " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
- " }\n",
- "\n",
- " function on_load() {\n",
- " root._bokeh_is_loading--;\n",
- " if (root._bokeh_is_loading === 0) {\n",
- " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
- " run_callbacks()\n",
- " }\n",
- " }\n",
- " window._bokeh_on_load = on_load\n",
- "\n",
- " function on_error() {\n",
- " console.error(\"failed to load \" + url);\n",
- " }\n",
- "\n",
- " var skip = [];\n",
- " if (window.requirejs) {\n",
- " window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
- " require([\"vtk\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel\"], function(jsPanel) {\n",
- "\twindow.jsPanel = jsPanel\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-modal\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-tooltip\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-hint\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-layout\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-contextmenu\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"jspanel-dock\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " require([\"gridstack\"], function(GridStack) {\n",
- "\twindow.GridStack = GridStack\n",
- "\ton_load()\n",
- " })\n",
- " require([\"notyf\"], function() {\n",
- "\ton_load()\n",
- " })\n",
- " root._bokeh_is_loading = css_urls.length + 10;\n",
- " } else {\n",
- " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
- " }\n",
- "\n",
- " var existing_stylesheets = []\n",
- " var links = document.getElementsByTagName('link')\n",
- " for (var i = 0; i < links.length; i++) {\n",
- " var link = links[i]\n",
- " if (link.href != null) {\n",
- "\texisting_stylesheets.push(link.href)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < css_urls.length; i++) {\n",
- " var url = css_urls[i];\n",
- " if (existing_stylesheets.indexOf(url) !== -1) {\n",
- "\ton_load()\n",
- "\tcontinue;\n",
- " }\n",
- " const element = document.createElement(\"link\");\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.rel = \"stylesheet\";\n",
- " element.type = \"text/css\";\n",
- " element.href = url;\n",
- " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
- " document.body.appendChild(element);\n",
- " } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
- " var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
- " for (var i = 0; i < urls.length; i++) {\n",
- " skip.push(urls[i])\n",
- " }\n",
- " } var existing_scripts = []\n",
- " var scripts = document.getElementsByTagName('script')\n",
- " for (var i = 0; i < scripts.length; i++) {\n",
- " var script = scripts[i]\n",
- " if (script.src != null) {\n",
- "\texisting_scripts.push(script.src)\n",
- " }\n",
- " }\n",
- " for (var i = 0; i < js_urls.length; i++) {\n",
- " var url = js_urls[i];\n",
- " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.src = url;\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " for (var i = 0; i < js_modules.length; i++) {\n",
- " var url = js_modules[i];\n",
- " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onload = on_load;\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.src = url;\n",
- " element.type = \"module\";\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " for (const name in js_exports) {\n",
- " var url = js_exports[name];\n",
- " if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
- "\tif (!window.requirejs) {\n",
- "\t on_load();\n",
- "\t}\n",
- "\tcontinue;\n",
- " }\n",
- " var element = document.createElement('script');\n",
- " element.onerror = on_error;\n",
- " element.async = false;\n",
- " element.type = \"module\";\n",
- " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
- " element.textContent = `\n",
- " import ${name} from \"${url}\"\n",
- " window.${name} = ${name}\n",
- " window._bokeh_on_load()\n",
- " `\n",
- " document.head.appendChild(element);\n",
- " }\n",
- " if (!js_urls.length && !js_modules.length) {\n",
- " on_load()\n",
- " }\n",
- " };\n",
- "\n",
- " function inject_raw_css(css) {\n",
- " const element = document.createElement(\"style\");\n",
- " element.appendChild(document.createTextNode(css));\n",
- " document.body.appendChild(element);\n",
- " }\n",
- "\n",
- " var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n",
- " var js_modules = [];\n",
- " var js_exports = {};\n",
- " var css_urls = [];\n",
- " var inline_js = [ function(Bokeh) {\n",
- " Bokeh.set_log_level(\"info\");\n",
- " },\n",
- "function(Bokeh) {} // ensure no trailing comma for IE\n",
- " ];\n",
- "\n",
- " function run_inline_js() {\n",
- " if ((root.Bokeh !== undefined) || (force === true)) {\n",
- " for (var i = 0; i < inline_js.length; i++) {\n",
- " inline_js[i].call(root, root.Bokeh);\n",
- " }\n",
- " // Cache old bokeh versions\n",
- " if (Bokeh != undefined && !reloading) {\n",
- "\tvar NewBokeh = root.Bokeh;\n",
- "\tif (Bokeh.versions === undefined) {\n",
- "\t Bokeh.versions = new Map();\n",
- "\t}\n",
- "\tif (NewBokeh.version !== Bokeh.version) {\n",
- "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
- "\t}\n",
- "\troot.Bokeh = Bokeh;\n",
- " }} else if (Date.now() < root._bokeh_timeout) {\n",
- " setTimeout(run_inline_js, 100);\n",
- " } else if (!root._bokeh_failed_load) {\n",
- " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
- " root._bokeh_failed_load = true;\n",
- " }\n",
- " root._bokeh_is_initializing = false\n",
- " }\n",
- "\n",
- " function load_or_wait() {\n",
- " // Implement a backoff loop that tries to ensure we do not load multiple\n",
- " // versions of Bokeh and its dependencies at the same time.\n",
- " // In recent versions we use the root._bokeh_is_initializing flag\n",
- " // to determine whether there is an ongoing attempt to initialize\n",
- " // bokeh, however for backward compatibility we also try to ensure\n",
- " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
- " // before older versions are fully initialized.\n",
- " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
- " root._bokeh_is_initializing = false;\n",
- " root._bokeh_onload_callbacks = undefined;\n",
- " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
- " load_or_wait();\n",
- " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
- " setTimeout(load_or_wait, 100);\n",
- " } else {\n",
- " Bokeh = root.Bokeh;\n",
- " bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
- " root._bokeh_is_initializing = true\n",
- " root._bokeh_onload_callbacks = []\n",
- " if (!reloading && (!bokeh_loaded || is_dev)) {\n",
- "\troot.Bokeh = undefined;\n",
- " }\n",
- " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
- "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
- "\trun_inline_js();\n",
- " });\n",
- " }\n",
- " }\n",
- " // Give older versions of the autoload script a head-start to ensure\n",
- " // they initialize before we start loading newer version.\n",
- " setTimeout(load_or_wait, 100)\n",
- "}(window));"
- ],
- "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'vtk': 'https://cdn.jsdelivr.net/npm/vtk.js@20.0.1/vtk', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'vtk': {'exports': 'vtk'}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"vtk\"], function() {\n\ton_load()\n })\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 10;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['vtk'] !== undefined) && (!(window['vtk'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.holoviz.org/panel/1.2.1/dist/bundled/abstractvtkplot/vtk.js@20.0.1/vtk.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));"
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/javascript": [
- "\n",
- "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
- " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
- "}\n",
- "\n",
- "\n",
- " function JupyterCommManager() {\n",
- " }\n",
- "\n",
- " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
- " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
- " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
- " comm_manager.register_target(comm_id, function(comm) {\n",
- " comm.on_msg(msg_handler);\n",
- " });\n",
- " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
- " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
- " comm.onMsg = msg_handler;\n",
- " });\n",
- " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
- " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
- " var messages = comm.messages[Symbol.asyncIterator]();\n",
- " function processIteratorResult(result) {\n",
- " var message = result.value;\n",
- " console.log(message)\n",
- " var content = {data: message.data, comm_id};\n",
- " var buffers = []\n",
- " for (var buffer of message.buffers || []) {\n",
- " buffers.push(new DataView(buffer))\n",
- " }\n",
- " var metadata = message.metadata || {};\n",
- " var msg = {content, buffers, metadata}\n",
- " msg_handler(msg);\n",
- " return messages.next().then(processIteratorResult);\n",
- " }\n",
- " return messages.next().then(processIteratorResult);\n",
- " })\n",
- " }\n",
- " }\n",
- "\n",
- " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
- " if (comm_id in window.PyViz.comms) {\n",
- " return window.PyViz.comms[comm_id];\n",
- " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
- " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
- " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
- " if (msg_handler) {\n",
- " comm.on_msg(msg_handler);\n",
- " }\n",
- " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
- " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
- " comm.open();\n",
- " if (msg_handler) {\n",
- " comm.onMsg = msg_handler;\n",
- " }\n",
- " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
- " var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
- " comm_promise.then((comm) => {\n",
- " window.PyViz.comms[comm_id] = comm;\n",
- " if (msg_handler) {\n",
- " var messages = comm.messages[Symbol.asyncIterator]();\n",
- " function processIteratorResult(result) {\n",
- " var message = result.value;\n",
- " var content = {data: message.data};\n",
- " var metadata = message.metadata || {comm_id};\n",
- " var msg = {content, metadata}\n",
- " msg_handler(msg);\n",
- " return messages.next().then(processIteratorResult);\n",
- " }\n",
- " return messages.next().then(processIteratorResult);\n",
- " }\n",
- " }) \n",
- " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
- " return comm_promise.then((comm) => {\n",
- " comm.send(data, metadata, buffers, disposeOnDone);\n",
- " });\n",
- " };\n",
- " var comm = {\n",
- " send: sendClosure\n",
- " };\n",
- " }\n",
- " window.PyViz.comms[comm_id] = comm;\n",
- " return comm;\n",
- " }\n",
- " window.PyViz.comm_manager = new JupyterCommManager();\n",
- " \n",
- "\n",
- "\n",
- "var JS_MIME_TYPE = 'application/javascript';\n",
- "var HTML_MIME_TYPE = 'text/html';\n",
- "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
- "var CLASS_NAME = 'output';\n",
- "\n",
- "/**\n",
- " * Render data to the DOM node\n",
- " */\n",
- "function render(props, node) {\n",
- " var div = document.createElement(\"div\");\n",
- " var script = document.createElement(\"script\");\n",
- " node.appendChild(div);\n",
- " node.appendChild(script);\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when a new output is added\n",
- " */\n",
- "function handle_add_output(event, handle) {\n",
- " var output_area = handle.output_area;\n",
- " var output = handle.output;\n",
- " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
- " return\n",
- " }\n",
- " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
- " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
- " if (id !== undefined) {\n",
- " var nchildren = toinsert.length;\n",
- " var html_node = toinsert[nchildren-1].children[0];\n",
- " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var scripts = [];\n",
- " var nodelist = html_node.querySelectorAll(\"script\");\n",
- " for (var i in nodelist) {\n",
- " if (nodelist.hasOwnProperty(i)) {\n",
- " scripts.push(nodelist[i])\n",
- " }\n",
- " }\n",
- "\n",
- " scripts.forEach( function (oldScript) {\n",
- " var newScript = document.createElement(\"script\");\n",
- " var attrs = [];\n",
- " var nodemap = oldScript.attributes;\n",
- " for (var j in nodemap) {\n",
- " if (nodemap.hasOwnProperty(j)) {\n",
- " attrs.push(nodemap[j])\n",
- " }\n",
- " }\n",
- " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
- " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
- " oldScript.parentNode.replaceChild(newScript, oldScript);\n",
- " });\n",
- " if (JS_MIME_TYPE in output.data) {\n",
- " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
- " }\n",
- " output_area._hv_plot_id = id;\n",
- " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
- " window.PyViz.plot_index[id] = Bokeh.index[id];\n",
- " } else {\n",
- " window.PyViz.plot_index[id] = null;\n",
- " }\n",
- " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
- " var bk_div = document.createElement(\"div\");\n",
- " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
- " var script_attrs = bk_div.children[0].attributes;\n",
- " for (var i = 0; i < script_attrs.length; i++) {\n",
- " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
- " }\n",
- " // store reference to server id on output_area\n",
- " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle when an output is cleared or removed\n",
- " */\n",
- "function handle_clear_output(event, handle) {\n",
- " var id = handle.cell.output_area._hv_plot_id;\n",
- " var server_id = handle.cell.output_area._bokeh_server_id;\n",
- " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
- " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
- " if (server_id !== null) {\n",
- " comm.send({event_type: 'server_delete', 'id': server_id});\n",
- " return;\n",
- " } else if (comm !== null) {\n",
- " comm.send({event_type: 'delete', 'id': id});\n",
- " }\n",
- " delete PyViz.plot_index[id];\n",
- " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
- " var doc = window.Bokeh.index[id].model.document\n",
- " doc.clear();\n",
- " const i = window.Bokeh.documents.indexOf(doc);\n",
- " if (i > -1) {\n",
- " window.Bokeh.documents.splice(i, 1);\n",
- " }\n",
- " }\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle kernel restart event\n",
- " */\n",
- "function handle_kernel_cleanup(event, handle) {\n",
- " delete PyViz.comms[\"hv-extension-comm\"];\n",
- " window.PyViz.plot_index = {}\n",
- "}\n",
- "\n",
- "/**\n",
- " * Handle update_display_data messages\n",
- " */\n",
- "function handle_update_output(event, handle) {\n",
- " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
- " handle_add_output(event, handle)\n",
- "}\n",
- "\n",
- "function register_renderer(events, OutputArea) {\n",
- " function append_mime(data, metadata, element) {\n",
- " // create a DOM node to render to\n",
- " var toinsert = this.create_output_subarea(\n",
- " metadata,\n",
- " CLASS_NAME,\n",
- " EXEC_MIME_TYPE\n",
- " );\n",
- " this.keyboard_manager.register_events(toinsert);\n",
- " // Render to node\n",
- " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
- " render(props, toinsert[0]);\n",
- " element.append(toinsert);\n",
- " return toinsert\n",
- " }\n",
- "\n",
- " events.on('output_added.OutputArea', handle_add_output);\n",
- " events.on('output_updated.OutputArea', handle_update_output);\n",
- " events.on('clear_output.CodeCell', handle_clear_output);\n",
- " events.on('delete.Cell', handle_clear_output);\n",
- " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
- "\n",
- " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
- " safe: true,\n",
- " index: 0\n",
- " });\n",
- "}\n",
- "\n",
- "if (window.Jupyter !== undefined) {\n",
- " try {\n",
- " var events = require('base/js/events');\n",
- " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
- " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
- " register_renderer(events, OutputArea);\n",
- " }\n",
- " } catch(err) {\n",
- " }\n",
- "}\n"
- ],
- "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='2b6...], height=800, min_width=800, sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "a48e160b-e2ce-49dd-8490-2d961fb5da06"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -904,7 +175,7 @@
"cells_1 = cells_1[cells_1 < num_cells_local]\n",
"marker[cells_0] = 1\n",
"marker[cells_1] = 2\n",
- "topology, cell_types, x = create_vtk_mesh(mesh, mesh.topology.dim, np.arange(num_cells_local, dtype=np.int32))\n",
+ "topology, cell_types, x = vtk_mesh(mesh, mesh.topology.dim, np.arange(num_cells_local, dtype=np.int32))\n",
"\n",
"p = pyvista.Plotter(window_size=[800, 800])\n",
"grid = pyvista.UnstructuredGrid(topology, cell_types, x)\n",
@@ -921,107 +192,21 @@
"execution_count": 7,
"metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "WARNING:param.VTKRenderWindowSynchronized: Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.VTKRenderWindowSynchronized:Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.Row: Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.Row:Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n"
- ]
- },
- {
- "data": {},
- "metadata": {},
- "output_type": "display_data"
- },
{
"data": {
- "application/vnd.holoviews_exec.v0+json": "",
- "text/html": [
- "\n",
- ""
- ],
+ "image/jpeg": 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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='929...], height=800, min_width=800, sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "8aea5c75-fe87-48ca-959d-3801598353e1"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
"p2 = pyvista.Plotter(window_size=[800, 800])\n",
- "grid_uh = pyvista.UnstructuredGrid(*create_vtk_mesh(V))\n",
+ "grid_uh = pyvista.UnstructuredGrid(*vtk_mesh(V))\n",
"grid_uh.point_data[\"u\"] = uh.x.array.real\n",
"grid_uh.set_active_scalars(\"u\")\n",
"p2.add_mesh(grid_uh, show_edges=True)\n",
@@ -1124,11 +309,11 @@
"Info : [ 60%] Meshing curve 5 (Line)\n",
"Info : [ 80%] Meshing curve 6 (Line)\n",
"Info : [ 90%] Meshing curve 7 (Line)\n",
- "Info : Done meshing 1D (Wall 0.000932915s, CPU 0.00149s)\n",
+ "Info : Done meshing 1D (Wall 0.00103988s, CPU 0.00159s)\n",
"Info : Meshing 2D...\n",
"Info : [ 0%] Meshing surface 1 (Plane, Frontal-Delaunay)\n",
"Info : [ 50%] Meshing surface 2 (Plane, Frontal-Delaunay)\n",
- "Info : Done meshing 2D (Wall 0.00602427s, CPU 0.006201s)\n",
+ "Info : Done meshing 2D (Wall 0.00635749s, CPU 0.006559s)\n",
"Info : 103 nodes 218 elements\n",
"Info : Writing 'mesh.msh'...\n",
"Info : Done writing 'mesh.msh'\n"
@@ -1342,101 +527,15 @@
"lines_to_next_cell": 0
},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "WARNING:param.VTKRenderWindowSynchronized: Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.VTKRenderWindowSynchronized:Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.Row: Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.Row:Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n"
- ]
- },
- {
- "data": {},
- "metadata": {},
- "output_type": "display_data"
- },
{
"data": {
- "application/vnd.holoviews_exec.v0+json": "",
- "text/html": [
- "\n",
- ""
- ],
+ "image/jpeg": 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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='ae2...], height=800, min_width=800, sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "978f267a-f662-45bc-b7b8-a56026963923"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1452,7 +551,7 @@
"# As the dolfinx.MeshTag contains a value for every cell in the\n",
"# geometry, we can attach it directly to the grid\n",
"\n",
- "topology, cell_types, x = create_vtk_mesh(mesh, mesh.topology.dim)\n",
+ "topology, cell_types, x = vtk_mesh(mesh, mesh.topology.dim)\n",
"grid = pyvista.UnstructuredGrid(topology, cell_types, x)\n",
"num_local_cells = mesh.topology.index_map(mesh.topology.dim).size_local\n",
"grid.cell_data[\"Marker\"] = ct.values[ct.indices < num_local_cells]\n",
@@ -1471,106 +570,20 @@
"execution_count": 19,
"metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "WARNING:param.VTKRenderWindowSynchronized: Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.VTKRenderWindowSynchronized:Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.Row: Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n",
- "WARNING:param.Row:Providing a width-responsive sizing_mode ('stretch_width') and a fixed width is not supported. Converting fixed width to min_width. If you intended the component to be fully width-responsive remove the heightsetting, otherwise change it to min_height. To error on the incorrect specification disable the config.layout_compatibility option.\n"
- ]
- },
- {
- "data": {},
- "metadata": {},
- "output_type": "display_data"
- },
{
"data": {
- "application/vnd.holoviews_exec.v0+json": "",
- "text/html": [
- "\n",
- ""
- ],
+ "image/jpeg": 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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='20a...], height=800, min_width=800, sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "afeda1f0-8b0a-4e09-836b-d30a447b9145"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
- "grid_uh = pyvista.UnstructuredGrid(*create_vtk_mesh(V))\n",
+ "grid_uh = pyvista.UnstructuredGrid(*vtk_mesh(V))\n",
"grid_uh.point_data[\"u\"] = uh.x.array.real\n",
"grid_uh.set_active_scalars(\"u\")\n",
"p2 = pyvista.Plotter(window_size=[800, 800])\n",
diff --git a/chapter3/subdomains.py b/chapter3/subdomains.py
index af85d344..35afb9c6 100644
--- a/chapter3/subdomains.py
+++ b/chapter3/subdomains.py
@@ -27,7 +27,7 @@
from dolfinx.fem.petsc import LinearProblem
from dolfinx.io import XDMFFile, gmshio
from dolfinx.mesh import create_unit_square, locate_entities
-from dolfinx.plot import create_vtk_mesh
+from dolfinx.plot import vtk_mesh
from ufl import (SpatialCoordinate, TestFunction, TrialFunction,
dx, grad, inner)
@@ -112,7 +112,7 @@ def Omega_1(x):
cells_1 = cells_1[cells_1 < num_cells_local]
marker[cells_0] = 1
marker[cells_1] = 2
-topology, cell_types, x = create_vtk_mesh(mesh, mesh.topology.dim, np.arange(num_cells_local, dtype=np.int32))
+topology, cell_types, x = vtk_mesh(mesh, mesh.topology.dim, np.arange(num_cells_local, dtype=np.int32))
p = pyvista.Plotter(window_size=[800, 800])
grid = pyvista.UnstructuredGrid(topology, cell_types, x)
@@ -125,7 +125,7 @@ def Omega_1(x):
# -
p2 = pyvista.Plotter(window_size=[800, 800])
-grid_uh = pyvista.UnstructuredGrid(*create_vtk_mesh(V))
+grid_uh = pyvista.UnstructuredGrid(*vtk_mesh(V))
grid_uh.point_data["u"] = uh.x.array.real
grid_uh.set_active_scalars("u")
p2.add_mesh(grid_uh, show_edges=True)
@@ -276,7 +276,7 @@ def create_mesh(mesh, cell_type, prune_z=False):
# As the dolfinx.MeshTag contains a value for every cell in the
# geometry, we can attach it directly to the grid
-topology, cell_types, x = create_vtk_mesh(mesh, mesh.topology.dim)
+topology, cell_types, x = vtk_mesh(mesh, mesh.topology.dim)
grid = pyvista.UnstructuredGrid(topology, cell_types, x)
num_local_cells = mesh.topology.index_map(mesh.topology.dim).size_local
grid.cell_data["Marker"] = ct.values[ct.indices < num_local_cells]
@@ -289,7 +289,7 @@ def create_mesh(mesh, cell_type, prune_z=False):
else:
figure = p.screenshot("subdomains_unstructured.png")
# -
-grid_uh = pyvista.UnstructuredGrid(*create_vtk_mesh(V))
+grid_uh = pyvista.UnstructuredGrid(*vtk_mesh(V))
grid_uh.point_data["u"] = uh.x.array.real
grid_uh.set_active_scalars("u")
p2 = pyvista.Plotter(window_size=[800, 800])
diff --git a/chapter4/newton-solver.ipynb b/chapter4/newton-solver.ipynb
index d16d7e2b..bd7c8ba9 100644
--- a/chapter4/newton-solver.ipynb
+++ b/chapter4/newton-solver.ipynb
@@ -325,7 +325,7 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 11,
@@ -616,101 +616,25 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 18,
"id": "b6f14bf6-c1a7-4edb-9a75-7fdceabd8f0d",
"metadata": {},
"outputs": [
- {
- "data": {},
- "metadata": {},
- "output_type": "display_data"
- },
{
"data": {
- "application/vnd.holoviews_exec.v0+json": "",
- "text/html": [
- "\n",
- ""
- ],
+ "image/jpeg": 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",
"text/plain": [
- "VTKRenderWindowSynchronized(vtkXOpenGLRenderWindow, color_mappers=[LinearColorMapper(id='b28...], sizing_mode='stretch_width')"
+ ""
]
},
- "metadata": {
- "application/vnd.holoviews_exec.v0+json": {
- "id": "b3027649-9491-4051-b608-fbb1f29a207f"
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
"pyvista.start_xvfb()\n",
- "u_topology, u_cell_types, u_geometry = dolfinx.plot.create_vtk_mesh(V)\n",
+ "u_topology, u_cell_types, u_geometry = dolfinx.plot.vtk_mesh(V)\n",
"u_grid = pyvista.UnstructuredGrid(u_topology, u_cell_types, u_geometry)\n",
"u_grid.point_data[\"u\"] = uh.x.array.real\n",
"u_grid.set_active_scalars(\"u\")\n",
diff --git a/chapter4/newton-solver.py b/chapter4/newton-solver.py
index 5ccc61e9..7646a62b 100644
--- a/chapter4/newton-solver.py
+++ b/chapter4/newton-solver.py
@@ -308,7 +308,7 @@ def u_exact(x):
print(f"Error_max: {error_max:.2e}")
pyvista.start_xvfb()
-u_topology, u_cell_types, u_geometry = dolfinx.plot.create_vtk_mesh(V)
+u_topology, u_cell_types, u_geometry = dolfinx.plot.vtk_mesh(V)
u_grid = pyvista.UnstructuredGrid(u_topology, u_cell_types, u_geometry)
u_grid.point_data["u"] = uh.x.array.real
u_grid.set_active_scalars("u")