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Merged
copybara-service merged 1 commit into from
Jan 14, 2026
Merged

Replace unicode escaped characters in ipynb files #317

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10 changes: 5 additions & 5 deletions docs/notebooks/dataset_tutorial.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -250,7 +250,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"\u003cfedjax.core.client_datasets.ClientDataset object at 0x7ff730f5afd0\u003e\n"
"<fedjax.core.client_datasets.ClientDataset object at 0x7ff730f5afd0>\n"
]
}
],
Expand Down Expand Up @@ -510,8 +510,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
"clients = \u003cgenerator object SQLiteFederatedData.clients at 0x7ff730f3d950\u003e\n",
"shuffled_clients = \u003cgenerator object SQLiteFederatedData.shuffled_clients at 0x7ff7310a8950\u003e\n"
"clients = <generator object SQLiteFederatedData.clients at 0x7ff730f3d950>\n",
"shuffled_clients = <generator object SQLiteFederatedData.shuffled_clients at 0x7ff7310a8950>\n"
]
}
],
Expand Down Expand Up @@ -901,8 +901,8 @@
},
"source": [
"We repeatedly halve the batch size up to `num_batch_size_buckets - 1` times, until\n",
"we find the smallest one that is also \u003e= the size of the final batch. Therefore\n",
"if `batch_size \u003c 2^num_batch_size_buckets`, fewer bucket sizes will be actually\n",
"we find the smallest one that is also >= the size of the final batch. Therefore\n",
"if `batch_size < 2^num_batch_size_buckets`, fewer bucket sizes will be actually\n",
"used. This will be seen when we look at the final batch that only has 4 examples when the original batch size was 8."
]
},
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4 changes: 2 additions & 2 deletions fedjax/experimental/notebooks/emnist_compression.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -127,7 +127,7 @@
{
"data": {
"text/plain": [
"\u003cmatplotlib.image.AxesImage at 0x7f3e2ed2da10\u003e"
"<matplotlib.image.AxesImage at 0x7f3e2ed2da10>"
]
},
"execution_count": 3,
Expand All @@ -140,7 +140,7 @@
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAEICAYAAACZA4KlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\nbGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsT\nAAALEwEAmpwYAAAMd0lEQVR4nO3df4jk9X3H8efr9DzJxcJdrXIYqTax0LSgKRsbahJspMH4jwnF\non/ISYVLaYSk5I9KQtFCC7Y0CSmEwFlFm6amoYnoH5J6XFKsUKyrGH/06o+ITU4Pr8GmMaGed+e7\nf+xc2eju7Dq/6/v5gGVmv9/ZnTdz+7yZne/MflJVSHrr2zLvASTNhrFLTRi71ISxS00Yu9SEsUtN\nGLvUhLE3k6SS/DTJn03o+307yStJ7p/E99P0GHtP51fVZ098kmRvkieTvJbkmtUXzIo/TfJ8kv9O\n8k9JfvXE/qr6EPD7sxtdozJ2AXwX+APg4TX2XQH8HvABYCfwL8BXZjeaJsXYRVV9qar2A6+ssftc\n4P6qeraqjgN/C7x7pgNqIoxdG/ka8K4kv5xkK7Ab+NacZ9IITp73AFp4h4B/Bp4EjgM/AD4014k0\nEu/ZtZEbgPcCZwOnAn8CfDvJ2+Y6ld40Y9dGzgf+vqoOVtWxqroN2IG/t/+/Y+wiySlJTgUCbE1y\napITPxsPAlckOTPJliRXA1uBZ+Y1r0Zj7AK4F/gf4DeBvYPzHxzs+3NWDs09AvwI+EPgd6rqR7Me\nUuOJf6mmlySvAEeAv6qqP57A99sHvA/416q6ZNzvp+kxdqkJH8ZLTRi71MRMX1RzSrbVqWyf5VVK\nrbzCT3m1jmStfWPFnuRS4IvAScBfV9VNwy5/Ktv5jfgcjjQtD9T+dfeN/DA+yUnAl4CPsPICi6uS\n+EILaUGN8zv7hcAzg3dDvcrKGyYun8xYkiZtnNjPYuVNESccHGz7GUn2JFlOsnyUI2NcnaRxjBP7\nWk8CvOGgfVXtraqlqlrayrYxrk7SOMaJ/SAr74Q64R3AC+ONI2laxon9QeC8JOcmOQW4Erh7MmNJ\nmrSRD71V1bEk1wH/yMqht1ur6omJTSZposY6zl5V9wD3TGgWSVPky2WlJoxdasLYpSaMXWrC2KUm\njF1qwtilJoxdasLYpSaMXWrC2KUmjF1qwtilJoxdasLYpSaMXWrC2KUmjF1qwtilJoxdasLYpSaM\nXWrC2KUmjF1qwtilJoxdasLYpSaMXWrC2KUmjF1qYqwlm5M8B7wMHAeOVdXSJIaSNHljxT7wW1X1\nwwl8H0lT5MN4qYlxYy/g3iQPJdmz1gWS7EmynGT5KEfGvDpJoxr3YfxFVfVCkjOAfUn+varuW32B\nqtoL7AX4ueysMa9P0ojGumevqhcGp4eBO4ELJzGUpMkbOfYk25OcduI88GHg8UkNJmmyxnkYfyZw\nZ5IT3+fvqupbE5lK0sSNHHtVPQucP8FZJE2Rh96kJoxdasLYpSaMXWrC2KUmjF1qwtilJoxdasLY\npSaMXWrC2KUmjF1qwtilJoxdasLYpSaMXWrC2KUmjF1qwtilJoxdasLYpSaMXWrC2KUmjF1qwtil\nJoxdasLYpSaMXWrC2KUmxlmyWR1sOWn4/teOz2YOjW3De/YktyY5nOTxVdt2JtmX5OnB6Y7pjilp\nXJt5GH8bcOnrtl0P7K+q84D9g88lLbANY6+q+4CXXrf5cuD2wfnbgY9OdixJkzbqE3RnVtUhgMHp\nGetdMMmeJMtJlo9yZMSrkzSuqT8bX1V7q2qpqpa2sm3aVydpHaPG/mKSXQCD08OTG0nSNIwa+93A\n7sH53cBdkxlH0rRseJw9yR3AxcDpSQ4CNwA3AV9Pci3wfeCKaQ6pOfI4+lvGhrFX1VXr7LpkwrNI\nmiJfLis1YexSE8YuNWHsUhPGLjXhW1zfArL1lHX31dFXh37tUze/d4Pv/drQ/edd89DQ/UPfIuth\nvZnynl1qwtilJoxdasLYpSaMXWrC2KUmjF1qwuPszW15efifil6+4otD91+55QPDr8Bj6QvDe3ap\nCWOXmjB2qQljl5owdqkJY5eaMHapCY+zN7fjQIbu35bhPyInveucofuPP/W99Xe6HPRMec8uNWHs\nUhPGLjVh7FITxi41YexSE8YuNeFx9reCGv633Yc59b+Gf+3btqz/N+kBOHmDY+VaGBvesye5Ncnh\nJI+v2nZjkueTPDL4uGy6Y0oa12Yext8GXLrG9i9U1QWDj3smO5akSdsw9qq6D3hpBrNImqJxnqC7\nLsmjg4f5O9a7UJI9SZaTLB/lyBhXJ2kco8b+ZeCdwAXAIeBz612wqvZW1VJVLW1l24hXJ2lcI8Ve\nVS9W1fGqeg24GbhwsmNJmrSRYk+ya9WnHwMeX++ykhbDhsfZk9wBXAycnuQgcANwcZILgAKeAz4+\nvRG1kTp2bOSv3f4PDwzd//4N/mlPe+6xka/b96vP1oaxV9VVa2y+ZQqzSJoiXy4rNWHsUhPGLjVh\n7FITxi414Vtcu8vwPyW90aG50d9cq1nznl1qwtilJoxdasLYpSaMXWrC2KUmjF1qwuPs3VUN3Z2T\nh/+IjPP2Ws2W9+xSE8YuNWHsUhPGLjVh7FITxi41YexSEx5n11AeR3/r8J5dasLYpSaMXWrC2KUm\njF1qwtilJoxdamLD2JOcneQ7SQ4keSLJJwfbdybZl+TpwemO6Y8raVSbuWc/Bny6qn4FeB/wiSTv\nBq4H9lfVecD+weeSFtSGsVfVoap6eHD+ZeAAcBZwOXD74GK3Ax+d0oySJuBN/c6e5BzgPcADwJlV\ndQhW/kMAzpj4dJImZtOxJ3k78A3gU1X14zfxdXuSLCdZPsqRUWaUNAGbij3JVlZC/2pVfXOw+cUk\nuwb7dwGH1/raqtpbVUtVtbSVbZOYWdIINvNsfIBbgANV9flVu+4Gdg/O7wbumvx4kiZlM29xvQi4\nGngsySODbZ8BbgK+nuRa4PvAFVOZUNJEbBh7Vd0PrLeI9yWTHUfStPgKOqkJY5eaMHapCWOXmjB2\nqQljl5owdqkJY5eaMHapCWOXmjB2qQljl5owdqkJY5eaMHapCWOXmjB2qQljl5owdqkJY5eaMHap\nCWOXmjB2qQljl5owdqkJY5eaMHapCWOXmjB2qQljl5rYMPYkZyf5TpIDSZ5I8snB9huTPJ/kkcHH\nZdMfV9KoNlyfHTgGfLqqHk5yGvBQkn2DfV+oqr+c3niSJmXD2KvqEHBocP7lJAeAs6Y9mKTJelO/\nsyc5B3gP8MBg03VJHk1ya5Id63zNniTLSZaPcmS8aSWNbNOxJ3k78A3gU1X1Y+DLwDuBC1i55//c\nWl9XVXuraqmqlraybfyJJY1kU7En2cpK6F+tqm8CVNWLVXW8ql4DbgYunN6Yksa1mWfjA9wCHKiq\nz6/avmvVxT4GPD758SRNymaejb8IuBp4LMkjg22fAa5KcgFQwHPAx6cwn6QJ2cyz8fcDWWPXPZMf\nR9K0+Ao6qQljl5owdqkJY5eaMHapCWOXmjB2qQljl5owdqkJY5eaMHapCWOXmjB2qQljl5pIVc3u\nypL/BP5j1abTgR/ObIA3Z1FnW9S5wNlGNcnZfrGqfmGtHTON/Q1XnixX1dLcBhhiUWdb1LnA2UY1\nq9l8GC81YexSE/OOfe+cr3+YRZ1tUecCZxvVTGab6+/skmZn3vfskmbE2KUm5hJ7kkuTPJnkmSTX\nz2OG9SR5Lsljg2Wol+c8y61JDid5fNW2nUn2JXl6cLrmGntzmm0hlvEessz4XG+7eS9/PvPf2ZOc\nBDwF/DZwEHgQuKqq/m2mg6wjyXPAUlXN/QUYST4I/AT4m6r6tcG2vwBeqqqbBv9R7qiqP1qQ2W4E\nfjLvZbwHqxXtWr3MOPBR4BrmeNsNmet3mcHtNo979guBZ6rq2ap6FfgacPkc5lh4VXUf8NLrNl8O\n3D44fzsrPywzt85sC6GqDlXVw4PzLwMnlhmf6203ZK6ZmEfsZwE/WPX5QRZrvfcC7k3yUJI98x5m\nDWdW1SFY+eEBzpjzPK+34TLes/S6ZcYX5rYbZfnzcc0j9rWWklqk438XVdWvAx8BPjF4uKrN2dQy\n3rOyxjLjC2HU5c/HNY/YDwJnr/r8HcALc5hjTVX1wuD0MHAni7cU9YsnVtAdnB6e8zz/Z5GW8V5r\nmXEW4Lab5/Ln84j9QeC8JOcmOQW4Erh7DnO8QZLtgydOSLId+DCLtxT13cDuwfndwF1znOVnLMoy\n3ustM86cb7u5L39eVTP/AC5j5Rn57wGfnccM68z1S8B3Bx9PzHs24A5WHtYdZeUR0bXAzwP7gacH\npzsXaLavAI8Bj7IS1q45zfZ+Vn41fBR4ZPBx2bxvuyFzzeR28+WyUhO+gk5qwtilJoxdasLYpSaM\nXWrC2KUmjF1q4n8BpRbJRivOFnQAAAAASUVORK5CYII=\n",
"text/plain": [
"\u003cFigure size 600x400 with 1 Axes\u003e"
"<Figure size 600x400 with 1 Axes>"
]
},
"metadata": {
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