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Update some copyright notices
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‎notebooks/adversarial/adversarial_cnn-tiny.ipynb‎

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"version": "3.13.7"
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},
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"license": {
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"full_text": "# Copyright © 2023 Gurobi Optimization, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================="
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"full_text": "# Copyright © 2025 Gurobi Optimization, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================="
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}
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},
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"nbformat": 4,

‎notebooks/adversarial/adversarial_cnn.ipynb‎

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"version": "3.13.3"
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},
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"license": {
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"full_text": "# Copyright © 2023 Gurobi Optimization, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================="
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"full_text": "# Copyright © 2023-2025 Gurobi Optimization, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================="
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}
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},
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"nbformat": 4,

‎notebooks/adversarial/adversarial_pytorch_cnn.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"id": "1f1cbcfa",
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"id": "0",
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"metadata": {},
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"source": [
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"# Adversarial Example with PyTorch CNN\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "80408f10",
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"id": "1",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "39afe5a8",
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"id": "2",
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"metadata": {},
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"source": [
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"## Define CNN model\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6cb1cee3",
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"id": "3",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "4",
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"metadata": {},
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"source": [
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"## Load MNIST data\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a10d8b89",
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"id": "5",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "68d83367",
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"id": "6",
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"metadata": {},
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"source": [
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"## Quick training (optional)\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7965e4d3",
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"id": "7",
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"metadata": {},
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"outputs": [],
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"source": [
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" loss.backward()\n",
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" optimizer.step()\n",
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" running += loss.item() * xb.size(0)\n",
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" print(f\"Epoch {epoch+1}: loss={running/len(train_loader.dataset):.4f}\")\n",
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" print(f\"Epoch {epoch + 1}: loss={running / len(train_loader.dataset):.4f}\")\n",
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"\n",
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"# Evaluate quickly\n",
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"model.eval()\n",
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" pred = logits.argmax(dim=1).cpu()\n",
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" correct += (pred == yb).sum().item()\n",
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" total += yb.size(0)\n",
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"print(f\"Test accuracy: {correct/total:.3f}\")"
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"print(f\"Test accuracy: {correct / total:.3f}\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8",
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"metadata": {},
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"source": [
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"## Select a correctly classified example\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7faadde6",
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"id": "9",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "10",
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"metadata": {},
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"source": [
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"## Build MILP for adversarial example\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "742ca52a-4168-4202-9e9e-6ff77f2a9e30",
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"id": "11",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "44d6f31c-5a58-4873-a1d2-a67745fd22cc",
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"id": "12",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d29f968a-fb32-4735-a4a6-e2053d593d07",
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"id": "13",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8f5da81d-4be4-4dcc-b701-d8ffb91583c5",
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"id": "14",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a7e3ebe5",
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"id": "15",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "17c5fd6a",
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"id": "16",
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"metadata": {},
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"source": [
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"## Visualize result\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "049c27c1",
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"id": "17",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3cb3162b",
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"id": "18",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f1c0397c-a5b5-4249-a7f8-273823ad1707",
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"id": "19",
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"metadata": {},
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"outputs": [],
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"source": []
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"version": "3.13.3"
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},
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"license": {
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"full_text": "# Copyright © 2023 Gurobi Optimization, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================="
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"full_text": "# Copyright © 2025 Gurobi Optimization, LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================="
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}
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},
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"nbformat": 4,

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