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trigger workflow tutorials

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This commit is contained in:
Dario Coscia
2025-03-15 21:03:00 +01:00
committed by FilippoOlivo
parent 39ceeb82c1
commit fa402b3565
14 changed files with 25 additions and 28 deletions
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3
.github/workflows/export_tutorials.yml vendored
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@@ -6,9 +6,6 @@ on:
- "**" # Run on push on all branches - "**" # Run on push on all branches
paths: paths:
- 'tutorials/**/*.ipynb' - 'tutorials/**/*.ipynb'
workflow_dispatch:
branches:
- "**" # Run on push on all branches
jobs: jobs:
export_tutorials: export_tutorials:
permissions: write-all permissions: write-all

4
tutorials/tutorial1/tutorial.ipynb vendored
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@@ -80,7 +80,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"id": "2373a925", "id": "2373a925",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -89,7 +89,7 @@
"try:\n", "try:\n",
" import google.colab\n", " import google.colab\n",
"\n", "\n",
" IN_COLAB = True\n", " IN_COLAB = True \n",
"except:\n", "except:\n",
" IN_COLAB = False\n", " IN_COLAB = False\n",
"if IN_COLAB:\n", "if IN_COLAB:\n",

4
tutorials/tutorial10/tutorial.ipynb vendored
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@@ -19,7 +19,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -31,7 +31,7 @@
"except:\n", "except:\n",
" IN_COLAB = False\n", " IN_COLAB = False\n",
"if IN_COLAB:\n", "if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\" \n",
" # get the data\n", " # get the data\n",
" !mkdir \"data\"\n", " !mkdir \"data\"\n",
" !wget \"https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS.mat\" -O \"data/Data_KS.mat\"\n", " !wget \"https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS.mat\" -O \"data/Data_KS.mat\"\n",

6
tutorials/tutorial11/tutorial.ipynb vendored
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@@ -19,7 +19,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -36,9 +36,9 @@
"import warnings\n", "import warnings\n",
"\n", "\n",
"from pina import Condition, Trainer\n", "from pina import Condition, Trainer\n",
"from pina.solver import PINN\n", "from pina.solver import PINN \n",
"from pina.model import FeedForward\n", "from pina.model import FeedForward\n",
"from pina.problem import SpatialProblem\n", "from pina.problem import SpatialProblem \n",
"from pina.operator import grad\n", "from pina.operator import grad\n",
"from pina.domain import CartesianDomain\n", "from pina.domain import CartesianDomain\n",
"from pina.equation import Equation, FixedValue\n", "from pina.equation import Equation, FixedValue\n",

4
tutorials/tutorial13/tutorial.ipynb vendored
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@@ -19,7 +19,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -38,7 +38,7 @@
"import warnings\n", "import warnings\n",
"\n", "\n",
"from pina import Condition, Trainer\n", "from pina import Condition, Trainer\n",
"from pina.problem import SpatialProblem\n", "from pina.problem import SpatialProblem \n",
"from pina.operator import laplacian\n", "from pina.operator import laplacian\n",
"from pina.solver import PINN, SelfAdaptivePINN as SAPINN\n", "from pina.solver import PINN, SelfAdaptivePINN as SAPINN\n",
"from pina.loss import LpLoss\n", "from pina.loss import LpLoss\n",

4
tutorials/tutorial14/tutorial.ipynb vendored
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@@ -27,7 +27,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -39,7 +39,7 @@
"except:\n", "except:\n",
" IN_COLAB = False\n", " IN_COLAB = False\n",
"if IN_COLAB:\n", "if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\" \n",
"\n", "\n",
"%matplotlib inline\n", "%matplotlib inline\n",
"\n", "\n",

2
tutorials/tutorial2/tutorial.ipynb vendored
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@@ -31,7 +31,7 @@
"if IN_COLAB:\n", "if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\"\n",
"\n", "\n",
"import torch\n", "import torch \n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"import warnings\n", "import warnings\n",
"\n", "\n",

4
tutorials/tutorial3/tutorial.ipynb vendored
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@@ -16,7 +16,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"id": "d93daba0", "id": "d93daba0",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -28,7 +28,7 @@
" IN_COLAB = True\n", " IN_COLAB = True\n",
"except:\n", "except:\n",
" IN_COLAB = False\n", " IN_COLAB = False\n",
"if IN_COLAB:\n", "if IN_COLAB: \n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\"\n",
"\n", "\n",
"import torch\n", "import torch\n",

2
tutorials/tutorial4/tutorial.ipynb vendored
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@@ -43,7 +43,7 @@
"if IN_COLAB:\n", "if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\"\n",
"\n", "\n",
"import torch\n", "import torch \n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"import torchvision # for MNIST dataset\n", "import torchvision # for MNIST dataset\n",
"import warnings\n", "import warnings\n",

4
tutorials/tutorial5/tutorial.ipynb vendored
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@@ -21,7 +21,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"id": "5f2744dc", "id": "5f2744dc",
"metadata": { "metadata": {
"ExecuteTime": { "ExecuteTime": {
@@ -46,7 +46,7 @@
"\n", "\n",
"import torch\n", "import torch\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"import warnings\n", "import warnings \n",
"\n", "\n",
"# !pip install scipy # install scipy\n", "# !pip install scipy # install scipy\n",
"from scipy import io\n", "from scipy import io\n",

2
tutorials/tutorial6/tutorial.ipynb vendored
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@@ -34,7 +34,7 @@
"if IN_COLAB:\n", "if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\"\n",
"\n", "\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt \n",
"\n", "\n",
"from pina.domain import (\n", "from pina.domain import (\n",
" EllipsoidDomain,\n", " EllipsoidDomain,\n",

4
tutorials/tutorial7/tutorial.ipynb vendored
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@@ -50,7 +50,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 20, "execution_count": null,
"id": "00d1027d-13f2-4619-9ff7-a740568f13ff", "id": "00d1027d-13f2-4619-9ff7-a740568f13ff",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@@ -75,7 +75,7 @@
"source": [ "source": [
"## routine needed to run the notebook on Google Colab\n", "## routine needed to run the notebook on Google Colab\n",
"try:\n", "try:\n",
" import google.colab\n", " import google.colab \n",
"\n", "\n",
" IN_COLAB = True\n", " IN_COLAB = True\n",
"except:\n", "except:\n",

4
tutorials/tutorial8/tutorial.ipynb vendored
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@@ -31,7 +31,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 82, "execution_count": null,
"id": "00d1027d-13f2-4619-9ff7-a740568f13ff", "id": "00d1027d-13f2-4619-9ff7-a740568f13ff",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -42,7 +42,7 @@
"\n", "\n",
" IN_COLAB = True\n", " IN_COLAB = True\n",
"except:\n", "except:\n",
" IN_COLAB = False\n", " IN_COLAB = False \n",
"if IN_COLAB:\n", "if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\"\n",
"\n", "\n",

6
tutorials/tutorial9/tutorial.ipynb vendored
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@@ -20,7 +20,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 14, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -35,11 +35,11 @@
" !pip install \"pina-mathlab\"\n", " !pip install \"pina-mathlab\"\n",
"\n", "\n",
"import torch\n", "import torch\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt \n",
"import warnings\n", "import warnings\n",
"\n", "\n",
"from pina import Condition, Trainer\n", "from pina import Condition, Trainer\n",
"from pina.problem import SpatialProblem\n", "from pina.problem import SpatialProblem \n",
"from pina.operator import laplacian\n", "from pina.operator import laplacian\n",
"from pina.model import FeedForward\n", "from pina.model import FeedForward\n",
"from pina.model.block import PeriodicBoundaryEmbedding # The PBC module\n", "from pina.model.block import PeriodicBoundaryEmbedding # The PBC module\n",