06-Federated-learning-Experiment-with-PyTorch.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Federated learning with PySyft and PyTorch\n",
    "\n",
    "In this notebook we will learn how to run a Federated Learning experiment, using **PyTorch** and **PySyft**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67e95d51-313e-4ddb-9340-5e3de0e82bc0",
   "metadata": {},
   "source": [
    "## Step 1. Login to datasites as **External Researcher**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e167121f-90cc-4bbc-8e15-0e8e56160302",
   "metadata": {},
   "source": [
    "Launch Datasites if not running:\n",
    "```bash\n",
    "$ python launch_datasites.py\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4f3a3ee2-7a98-427c-8098-30d724e43be3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import syft as sy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1283e48c-9d97-42f4-a905-64436ed24a46",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logged into <Cleveland Clinic: High side Datasite> as <researcher@openmined.org>\n",
      "Logged into <Hungarian Inst. of Cardiology: High side Datasite> as <researcher@openmined.org>\n",
      "Logged into <Univ. Hospitals Zurich and Basel: High side Datasite> as <researcher@openmined.org>\n",
      "Logged into <V.A. Medical Center: High side Datasite> as <researcher@openmined.org>\n"
     ]
    }
   ],
   "source": [
    "from datasites import DATASITE_URLS\n",
    "\n",
    "datasites = {}\n",
    "for name, url in DATASITE_URLS.items():\n",
    "    datasites[name] = sy.login(url=url, email=\"researcher@openmined.org\", password=\"****\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a701372-0aca-4379-a50f-62ed76d81b39",
   "metadata": {},
   "source": [
    "## Step 2. Get Mock data and test the code for the Deep Learning (`DL`) experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d327de04-6548-4936-b525-04475a65f42d",
   "metadata": {},
   "outputs": [],
   "source": [
    "mock_data = datasites[\"Cleveland Clinic\"].datasets[\"Heart Disease Dataset\"].assets[\"Heart Study Data\"].mock"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02f63383-3182-4cb9-a8fa-87af2c426096",
   "metadata": {},
   "source": [
    "**TYPE ANNOTATIONS**\n",
    "\n",
    "Let's use Python type annotations to better document the input/output of each step in the `DL` experiment.\n",
    "\n",
    "> 💡 All the annotations are **exactly** the same used in the [`ML` experiment](./05-Federated-learning-Experiment.ipynb), but `Dataset` that has been updated to handle data represented as `torch.Tensor` objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "17ce7a79-1d27-410f-bc30-9c98378b0917",
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   "source": [
    "import numpy as np\n",
    "import numpy.typing as npt\n",
    "from typing import Union, TypeVar, Any\n",
    "\n",
    "DataFrame = TypeVar(\"pandas.DataFrame\")\n",
    "NDArray = npt.NDArray[Any]\n",
    "NDArrayInt = npt.NDArray[np.int_]\n",
    "NDArrayFloat = npt.NDArray[np.float_]\n",
    "\n",
    "Dataset = TypeVar(\"torch.utils.data.TensorDataset\")  # NEW!\n",
    "Metric = TypeVar(\"Metric\", bound=dict[str, Union[float, NDArrayInt]])\n",
    "Metrics = TypeVar(\"Metrics\", bound=tuple[Metric, Metric])  # train and test\n",
    "ModelParams = TypeVar(\"ModelParams\", bound=dict[str, NDArrayFloat])\n",
    "Result = TypeVar(\"Result\", bound=tuple[Metrics, ModelParams])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2e74dea8-dff5-4c68-8ea3-fee065b3512f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def dl_experiment(data: DataFrame, model_params: ModelParams = None, training_epochs: int = 10) -> Result:\n",
    "    \"\"\"DL Experiment using a Multi-layer Perceptron (non-linear) Classifier.\n",
    "    Steps:\n",
    "    1. Preprocessing (partitioning; missing values & scaling; convert to Tensor objects)\n",
    "    2. MLP model definition and init (w/ `model_params`)\n",
    "    3. Training loop w/ Loss & Optimizer. Gather updated model parameters.\n",
    "    4. Evaluation: collect metrics on training and test partitions.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    data : DataFrame\n",
    "        Input Heart Study data represented as Pandas DataFrame.\n",
    "    model_params: ModelParams (dict)\n",
    "        DL Model Parameters\n",
    "    training_epochs : int (default = 10)\n",
    "        Number of training epochs\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "        metrics : Metrics\n",
    "            Evaluation metrics (i.e. MCC, Confusion matrix) on both training and test\n",
    "            data partitions.\n",
    "        model_params : ModelParams\n",
    "            Update model params after training (converted as Numpy NDArrays)\n",
    "    \"\"\"\n",
    "    import numpy as np\n",
    "    import torch as th\n",
    "    \n",
    "    # preprocessing\n",
    "    from sklearn.model_selection import train_test_split\n",
    "    from sklearn.compose import ColumnTransformer\n",
    "    from sklearn.pipeline import Pipeline\n",
    "    from sklearn.impute import SimpleImputer\n",
    "    from sklearn.preprocessing import RobustScaler\n",
    "    from torch.utils.data import TensorDataset\n",
    "    \n",
    "    # training (model) using torch\n",
    "    import torch.nn as nn\n",
    "    import torch.optim as optim\n",
    "    \n",
    "    # evaluation (metrics)\n",
    "    from sklearn.metrics import matthews_corrcoef as mcc\n",
    "    from sklearn.metrics import confusion_matrix\n",
    "\n",
    "    def preprocess(data: DataFrame) -> tuple[Dataset, Dataset]:\n",
    "\n",
    "        def by_demographics(data: DataFrame) -> NDArray:\n",
    "            sex = data[\"sex\"].map(lambda v: \"0\" if v == 0 else \"1\")\n",
    "            target = data[\"num\"].map(lambda v: \"0\" if v == 0 else \"1\")\n",
    "            return (sex + target).values\n",
    "        # Convert all data to float32 arrays for cross torck-kernels compatibility.\n",
    "        X = data.drop(columns=[\"age\", \"sex\", \"num\"], axis=1)\n",
    "        y = (data[\"num\"].map(lambda v: 0 if v == 0 else 1)).to_numpy(dtype=np.float32)\n",
    "    \n",
    "        X_train, X_test, y_train, y_test = train_test_split(\n",
    "            X, y, random_state=12345, stratify=by_demographics(data))\n",
    "        \n",
    "        preprocessor = ColumnTransformer(\n",
    "            transformers=[(\"numerical\",\n",
    "                           Pipeline(steps=[(\"imputer\", SimpleImputer(strategy=\"mean\")),\n",
    "                                           (\"scaler\", RobustScaler()),]),\n",
    "                           [\"trestbps\", \"chol\", \"thalach\", \"oldpeak\"]),\n",
    "                          (\"categorical\", \n",
    "                           SimpleImputer(strategy=\"most_frequent\",),\n",
    "                           [\"ca\", \"cp\", \"exang\", \"fbs\", \"restecg\", \"slope\", \"thal\"])])\n",
    "        \n",
    "        X_train = preprocessor.fit_transform(X_train).astype(np.float32)\n",
    "        X_test  = preprocessor.transform(X_test).astype(np.float32)\n",
    "        # Convert to torch tensor\n",
    "        X_train, X_test = th.from_numpy(X_train), th.from_numpy(X_test)\n",
    "        y_train, y_test = th.from_numpy(y_train), th.from_numpy(y_test)\n",
    "        # reshape tensor to add batch dimension\n",
    "        y_train, y_test = y_train.view(y_train.shape[0], 1), y_test.view(y_test.shape[0], 1)\n",
    "        # gather all data in TensorDataset\n",
    "        return TensorDataset(X_train, y_train), TensorDataset(X_test, y_test)\n",
    "\n",
    "    def train(model: nn.Module, device: th.device, training_data: \"TensorDataset\") -> ModelParams:\n",
    "        train_loader = th.utils.data.DataLoader(training_data, shuffle=True,\n",
    "                                                batch_size=min(200, len(training_data)))\n",
    "        # Loss and optimizer\n",
    "        learning_rate = 0.001\n",
    "        criterion = nn.BCELoss()\n",
    "        optimizer = optim.Adam(model.parameters(), lr=learning_rate)\n",
    "        # Train the model\n",
    "        for epoch in range(training_epochs):\n",
    "            for data in train_loader:\n",
    "                X_train, y_train = data[0].to(device), data[1].to(device)\n",
    "                y_pred = model(X_train)\n",
    "                loss = criterion(y_pred, y_train)\n",
    "                loss.backward()\n",
    "                optimizer.step()\n",
    "                optimizer.zero_grad()\n",
    "        # return model parameters as NDArray        \n",
    "        return {k: t.cpu().numpy() for k, t in model.state_dict().items()}\n",
    "\n",
    "    def evaluate(model: nn.Module, device: th.device, dataset: \"TensorDataset\") -> Metric:\n",
    "        data_loader = th.utils.data.DataLoader(dataset, batch_size=min(200, len(dataset)))\n",
    "        with th.no_grad():\n",
    "            y_true, y_pred = [], []\n",
    "            for data in data_loader:\n",
    "                X_val, y_val = data[0].to(device), data[1].to(device)\n",
    "                y_pred.append(model(X_val).round().cpu().detach().numpy())\n",
    "                y_true.append(y_val.cpu().numpy())\n",
    "            y_pred = np.vstack(y_pred)\n",
    "            y_true = np.vstack(y_true)\n",
    "        return {\"mcc\": mcc(y_true, y_pred), \"cm\": confusion_matrix(y_true, y_pred)}\n",
    "    \n",
    "    # -- DL Experiment --\n",
    "    # 1. preprocessing\n",
    "    training_data, test_data = preprocess(data)\n",
    "    # 2. model setup\n",
    "    class MLP(nn.Module):\n",
    "        def __init__(self):\n",
    "            super().__init__()\n",
    "            self.fc1 = nn.Linear(11, 22)\n",
    "            self.fc2 = nn.Linear(22, 11)\n",
    "            self.classifier = nn.Linear(11, 1)\n",
    "    \n",
    "        def forward(self, x):\n",
    "            x = th.sigmoid(self.fc1(x))\n",
    "            x = th.sigmoid(self.fc2(x))\n",
    "            return th.sigmoid(self.classifier(x))\n",
    "\n",
    "    clf = MLP()\n",
    "    if model_params:  # convert to torch tensor and load\n",
    "        clf.load_state_dict({k: th.from_numpy(v) for k, v in model_params.items()})\n",
    "    \n",
    "    device = th.device(\"cuda\" if th.cuda.is_available() else \"mps\" if th.backends.mps.is_available() else \"cpu\")\n",
    "    clf.to(device)\n",
    "    # 3. training\n",
    "    model_params = train(clf, device, training_data)\n",
    "    # 4. evaluation\n",
    "    training_metrics = evaluate(clf, device, training_data)\n",
    "    test_metrics = evaluate(clf, device, test_data)\n",
    "    return (training_metrics, test_metrics), model_params\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d0bc84af-273f-4d25-88b4-0e441fbf24b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics, model_params = dl_experiment(data=mock_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "eec11f5f-20a7-4107-81c3-108b92eb5647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "({'mcc': 0.0,\n",
       "  'cm': array([[ 31,   0],\n",
       "         [133,   0]])},\n",
       " {'mcc': 0.0,\n",
       "  'cm': array([[10,  0],\n",
       "         [45,  0]])})"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4bf101b7-6f09-42c3-b634-4862f395f562",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(model_params) == 6  # 3 layers x 2 tensors each (weight + bias)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f46524e-a024-4a04-bf3e-e2261bb19e1c",
   "metadata": {},
   "source": [
    "## Step 3. FL Experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "408b7221-1884-4e23-bdf0-42c9a63ca6e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from syft.service.policy.policy import MixedInputPolicy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f0d38504-f48e-4e27-bbd4-9e10f90ac1c8",
   "metadata": {},
   "outputs": [
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       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--colors-black);\n",
       "}\n",
       "\n",
       ".paragraph {\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 14px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".paragraph-sm {\n",
       "  font-family: \"Roboto\";\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 11.62px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".code-text {\n",
       "  font-family: \"Consolas\";\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 13px;\n",
       "  line-height: 130%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".numbering-entry {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "/* Tooltip container */\n",
       ".tooltip {\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  border-bottom: 1px dotted black;\n",
       "  /* If you want dots under the hoverable text */\n",
       "}\n",
       "\n",
       "/* Tooltip text */\n",
       ".tooltip .tooltiptext {\n",
       "  visibility: hidden;\n",
       "  width: 120px;\n",
       "  background-color: black;\n",
       "  color: #fff;\n",
       "  text-align: center;\n",
       "  padding: 5px 0;\n",
       "  border-radius: 6px;\n",
       "\n",
       "  /* Position the tooltip text - see examples below! */\n",
       "  position: absolute;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".repr-cell {\n",
       "  padding-top: 20px;\n",
       "}\n",
       "\n",
       ".text-bold {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".pr-8 {\n",
       "  padding-right: 8px;\n",
       "}\n",
       "\n",
       ".pt-8 {\n",
       "  padding-top: 8px;\n",
       "}\n",
       "\n",
       ".pl-8 {\n",
       "  padding-left: 8px;\n",
       "}\n",
       "\n",
       ".pb-8 {\n",
       "  padding-bottom: 8px;\n",
       "}\n",
       "\n",
       ".py-25 {\n",
       "  padding-top: 25px;\n",
       "  padding-bottom: 25px;\n",
       "}\n",
       "\n",
       ".flex {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".gap-10 {\n",
       "  gap: 10px;\n",
       "}\n",
       "\n",
       ".items-center {\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".folder-icon {\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".search-input {\n",
       "  display: flex;\n",
       "  flex-direction: row;\n",
       "  align-items: center;\n",
       "  padding: 8px 12px;\n",
       "  width: 343px;\n",
       "  height: 24px;\n",
       "  /* Lt On Surface/Low */\n",
       "  background-color: var(--secondary-color);\n",
       "  border-radius: 30px;\n",
       "\n",
       "  /* Lt On Surface/Highest */\n",
       "  color: var(--tertiary-color);\n",
       "  border: none;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 0;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".search-input:focus {\n",
       "  outline: none;\n",
       "}\n",
       "\n",
       ".search-input:focus::placeholder,\n",
       ".search-input::placeholder {\n",
       "  /* Chrome, Firefox, Opera, Safari 10.1+ */\n",
       "  color: var(--tertiary-color);\n",
       "  opacity: 1;\n",
       "  /* Firefox */\n",
       "}\n",
       "\n",
       ".search-button {\n",
       "  /* Search */\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  text-align: center;\n",
       "\n",
       "  /* Primary/On Light */\n",
       "  background-color: var(--button-color);\n",
       "  color: var(--tertiary-color);\n",
       "\n",
       "  border-radius: 30px;\n",
       "  border-color: var(--secondary-color);\n",
       "  border-style: solid;\n",
       "  box-shadow:\n",
       "    rgba(60, 64, 67, 0.3) 0px 1px 2px 0px,\n",
       "    rgba(60, 64, 67, 0.15) 0px 1px 3px 1px;\n",
       "  cursor: pointer;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 1;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".grid-index-cells {\n",
       "  grid-column: span 1;\n",
       "  /* tmp fix to make left col stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color) !important;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".center-content-cell {\n",
       "  margin: auto;\n",
       "}\n",
       "\n",
       ".grid-header {\n",
       "  /* Auto layout */\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  padding: 6px 4px;\n",
       "\n",
       "  resize: horizontal;\n",
       "  /* Lt On Surface/Surface */\n",
       "  /* Lt On Surface/High */\n",
       "  border: 1px solid #cfcdd6;\n",
       "  /* tmp fix to make header stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".grid-row {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: flex-start;\n",
       "  padding: 6px 4px;\n",
       "  overflow: hidden;\n",
       "  border: 1px solid #cfcdd6;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".syncstate-col-footer {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".syncstate-description {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 600;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  white-space: nowrap;\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       ".widget-header2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  width: 100%;\n",
       "  overflow: hidden;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".widget-header2-2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".jobs-title {\n",
       "  font-family:\n",
       "    Open Sans,\n",
       "    sans-serif;\n",
       "  font-size: 18px;\n",
       "  font-weight: 600;\n",
       "  line-height: 25.2px;\n",
       "  text-align: left;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".diff-state-orange-text {\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".diff-state-no-obj {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".diff-state-intro {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #b4b0bf;\n",
       "}\n",
       "\n",
       ".diff-state-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 22px;\n",
       "  font-weight: 600;\n",
       "  line-height: 30.8px;\n",
       "  text-align: left;\n",
       "  color: #353243;\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "}\n",
       "\n",
       ".diff-state-sub-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".badge {\n",
       "  /* code-text; */\n",
       "  border-radius: 30px;\n",
       "  padding: 6px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label {\n",
       "  /* code-text; */\n",
       "  border-radius: 4px;\n",
       "  padding: 6px 4px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label-light-purple {\n",
       "  /* label; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".label-light-blue {\n",
       "  /* label; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".label-orange {\n",
       "  /* badge; */\n",
       "  background-color: #fee9cd;\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".label-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #353243;\n",
       "}\n",
       "\n",
       ".label-green {\n",
       "  /* badge; */\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".label-red {\n",
       "  /* label; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-blue {\n",
       "  /* badge; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".badge-purple {\n",
       "  /* badge; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".badge-green {\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".badge-red {\n",
       "  /* badge; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #2e2b3b;\n",
       "}\n",
       "\n",
       ".paginationContainer {\n",
       "  width: 100%;\n",
       "  /*height: 30px;*/\n",
       "  display: flex;\n",
       "  justify-content: center;\n",
       "  gap: 8px;\n",
       "  padding: 5px;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".widget-label-basic {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".widget-label-basic input[type=\"checkbox\"][disabled] {\n",
       "  filter: sepia(0.3) hue-rotate(67deg) saturate(3);\n",
       "}\n",
       "\n",
       ".page {\n",
       "  color: black;\n",
       "  font-weight: bold;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".page:hover {\n",
       "  color: #38bdf8;\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".clipboard:hover {\n",
       "  cursor: pointer;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".rendered_html tbody tr:nth-child(odd) {\n",
       "  background: transparent;\n",
       "}\n",
       "\n",
       ".search-field {\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  border-radius: 30px;\n",
       "  background-color: var(--secondary-color);\n",
       "}\n",
       "\n",
       ".syft-dropdown {\n",
       "  margin: 5px;\n",
       "  margin-left: 5px;\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  text-align: center;\n",
       "  background-color: var(--button-color);\n",
       "  min-width: 100px;\n",
       "  padding: 2px;\n",
       "  border-radius: 30px;\n",
       "}\n",
       "\n",
       ".syft-dropdown:hover {\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".syft-dropdown-content {\n",
       "  margin-top: 26px;\n",
       "  display: none;\n",
       "  position: absolute;\n",
       "  min-width: 100px;\n",
       "  box-shadow: 0px 8px 16px 0px rgba(0, 0, 0, 0.2);\n",
       "  padding: 12px 6px;\n",
       "  z-index: 1;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".dd-options {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".dd-options:first-of-type {\n",
       "  padding-top: 0px;\n",
       "}\n",
       "\n",
       ".dd-options:hover {\n",
       "  cursor: pointer;\n",
       "  background: #d1d5db;\n",
       "}\n",
       "\n",
       ".arrow {\n",
       "  border: solid black;\n",
       "  border-width: 0 3px 3px 0;\n",
       "  display: inline-block;\n",
       "  padding: 3px;\n",
       "}\n",
       "\n",
       ".down {\n",
       "  transform: rotate(45deg);\n",
       "  -webkit-transform: rotate(45deg);\n",
       "}\n",
       "\n",
       ".syft-widget ul {\n",
       "  list-style-type: none;\n",
       "  margin: 0;\n",
       "  padding: 0;\n",
       "  overflow: hidden;\n",
       "}\n",
       "\n",
       ".syft-widget li {\n",
       "  float: left;\n",
       "  border-bottom: solid;\n",
       "  border-bottom-color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".syft-widget li a {\n",
       "  display: block;\n",
       "  text-align: center;\n",
       "  padding: 14px 16px;\n",
       "  color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".log-tab-header {\n",
       "  border-bottom: solid 2px #ecebef;\n",
       "  padding: 4px 16px;\n",
       "}\n",
       "\n",
       ".active-border {\n",
       "  border-bottom: solid 2px #1f567a;\n",
       "  font-weight: 700;\n",
       "}\n",
       "\n",
       ".active {\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".syft-widget li a:hover {\n",
       "  background-color: #c2def0;\n",
       "}\n",
       "\n",
       ".syft-code,\n",
       ".syft-user_code,\n",
       ".syft-project,\n",
       ".syft-project-create,\n",
       ".syft-settings,\n",
       ".syft-dataset,\n",
       ".syft-asset,\n",
       ".syft-contributor,\n",
       ".syft-request,\n",
       ".syft-syncstate,\n",
       ".job-info {\n",
       "  color: var(--surface-color);\n",
       "}\n",
       "\n",
       ".syft-dataset h1,\n",
       ".syft-dataset h2,\n",
       ".syft-dataset h3,\n",
       ".syft-dataset p,\n",
       ".syft-asset h3,\n",
       ".syft-asset p,\n",
       ".syft-syncstate h3,\n",
       ".syft-syncstate p,\n",
       ".syft-code p,\n",
       ".syft-code h3 {\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".diff-container {\n",
       "  border: 0.5px solid #b4b0bf;\n",
       "}\n",
       "\n",
       ".syft-container {\n",
       "  padding: 5px;\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "  color: #1f567a;\n",
       "  background-color: #c2def0;\n",
       "  border-radius: 4px;\n",
       "  padding: 5px;\n",
       "  padding: 13px 10px;\n",
       "}\n",
       "\n",
       ".syft-code-block {\n",
       "  background-color: #f7f7f7;\n",
       "  border: 1px solid #cfcfcf;\n",
       "  padding: 0px 2px;\n",
       "}\n",
       "\n",
       ".syft-space {\n",
       "  margin-top: 1em;\n",
       "}\n",
       "\n",
       ".itables {\n",
       "  font-family: \"Consolas\", monospace, sans-serif;\n",
       "}\n",
       "\n",
       ".itables table {\n",
       "  margin: 0 auto;\n",
       "  float: left;\n",
       "  color: var(--surface-highest-color);\n",
       "}\n",
       "\n",
       ".itables table th {\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".syft-request {\n",
       "  line-height: 1;\n",
       "}\n",
       "\n",
       "div.alert-warning,\n",
       "div.alert-info,\n",
       "div.alert-danger,\n",
       "div.alert-success {\n",
       "  padding: 5px;\n",
       "}\n",
       "\n",
       "pre.alert-warning,\n",
       "pre.alert-info,\n",
       "pre.alert-danger,\n",
       "pre.alert-success {\n",
       "  display: inline;\n",
       "  font-family: inherit;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       "</style>\n",
       "\n",
       "<style>\n",
       ".syft-alert-container {\n",
       "    padding: 4px;\n",
       "    display: flex;\n",
       "    justify-content: center;\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "    width: 100%;\n",
       "    padding: 8px 10px;\n",
       "    gap: 8px;\n",
       "    border-radius: 4px;\n",
       "    background: #C2DEF0;\n",
       "    color: #1F567A;\n",
       "    line-height: 1.4;\n",
       "    font-size: 12px;\n",
       "    font-family: 'Open Sans';\n",
       "}\n",
       "</style>\n",
       "<style>\n",
       ".copy-container {\n",
       "  cursor: pointer;\n",
       "  border-radius: 3px;\n",
       "  padding: 0px 3px;\n",
       "  display: inline-block;\n",
       "  transition: background-color 0.3s;\n",
       "  user-select: none;\n",
       "  color: #B4B0BF;\n",
       "  overflow: hidden;\n",
       "  white-space: nowrap;\n",
       "  vertical-align: middle;\n",
       "}\n",
       "\n",
       ".copy-container:hover {\n",
       "  background-color: #f5f5f5;\n",
       "}\n",
       "\n",
       ".copy-container:active {\n",
       "  background-color: #ebebeb;\n",
       "}\n",
       "\n",
       ".copy-text-display {\n",
       "  display: inline-block;\n",
       "  max-width: 50px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  vertical-align: bottom;\n",
       "}\n",
       "</style>\n",
       " <div class=\"alert-success\"><strong>SyftSuccess</strong>: <pre class=\"alert-success\">Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`.</pre></div><br> "
      ],
      "text/plain": [
       "SyftSuccess: Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>/* cyrillic-ext */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F,\n",
       "    U+FE2E-FE2F;\n",
       "}\n",
       "\n",
       "/* cyrillic */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;\n",
       "}\n",
       "\n",
       "/* greek-ext */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+1F00-1FFF;\n",
       "}\n",
       "\n",
       "/* greek */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0370-03FF;\n",
       "}\n",
       "\n",
       "/* hebrew */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F;\n",
       "}\n",
       "\n",
       "/* vietnamese */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1,\n",
       "    U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329,\n",
       "    U+1EA0-1EF9, U+20AB;\n",
       "}\n",
       "\n",
       "/* latin-ext */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu0SC55K5gw.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF,\n",
       "    U+2020, U+20A0-20AB, U+20AD-20CF, U+2113, U+2C60-2C7F, U+A720-A7FF;\n",
       "}\n",
       "\n",
       "/* latin */\n",
       "@font-face {\n",
       "  font-family: \"Open Sans\";\n",
       "  font-style: normal;\n",
       "  font-weight: 300 800;\n",
       "  font-stretch: 100%;\n",
       "  src: url(https://fonts.gstatic.com/s/opensans/v35/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-mu0SC55I.woff2)\n",
       "    format(\"woff2\");\n",
       "  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA,\n",
       "    U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191,\n",
       "    U+2193, U+2212, U+2215, U+FEFF, U+FFFD;\n",
       "}\n",
       "</style>\n",
       "\n",
       "<script>\n",
       "function addStyleSheet(fileName) {\n",
       "  var head = document.head;\n",
       "  var link = document.createElement(\"link\");\n",
       "\n",
       "  link.type = \"text/css\";\n",
       "  link.rel = \"stylesheet\";\n",
       "  link.href = fileName;\n",
       "\n",
       "  head.appendChild(link);\n",
       "}\n",
       "\n",
       "addStyleSheet(\"https://fonts.googleapis.com/css2?family=Karla:ital,wght@0,200;0,300;0,400;0,500;0,600;0,700;0,800;1,200;1,300;1,400;1,500;1,600;1,700;1,800&family=Open+Sans:ital,wght@0,300..800;1,300..800&display=swap\")\n",
       "addStyleSheet(\"https://fonts.cdnfonts.com/css/dejavu-sans-mono\")\n",
       "</script>\n",
       "\n",
       "\n",
       "<style>\n",
       "  body[data-jp-theme-light=\"false\"],\n",
       "body.vscode-dark {\n",
       "  --primary-color: #111111;\n",
       "  --secondary-color: #212121;\n",
       "  --tertiary-color: #cfcdd6;\n",
       "  --button-color: #111111;\n",
       "  --colors-black: #ffffff;\n",
       "  --surface-color: #fff;\n",
       "  --text-color: #ffffff;\n",
       "  --surface-highest-color: #ffffff;\n",
       "}\n",
       "\n",
       "body {\n",
       "  --primary-color: #ffffff;\n",
       "  --secondary-color: #f5f5f5;\n",
       "  --tertiary-color: #000000de;\n",
       "  --button-color: #d1d5db;\n",
       "  --colors-black: #17161d;\n",
       "  --surface-color: #464158;\n",
       "  --text-color: #2e2b3b;\n",
       "  --surface-highest-color: #534f64;\n",
       "}\n",
       "\n",
       ".header-1 {\n",
       "  font-style: normal;\n",
       "  font-weight: 600;\n",
       "  font-size: 2.0736em;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--colors-black);\n",
       "}\n",
       "\n",
       ".header-2 {\n",
       "  font-style: normal;\n",
       "  font-weight: 600;\n",
       "  font-size: 1.728em;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--colors-black);\n",
       "}\n",
       "\n",
       ".header-3 {\n",
       "  font-style: normal;\n",
       "  font-weight: 600;\n",
       "  font-size: 1.44em;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".header-4 {\n",
       "  font-style: normal;\n",
       "  font-weight: 600;\n",
       "  font-size: 1.2em;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--colors-black);\n",
       "}\n",
       "\n",
       ".paragraph {\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 14px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".paragraph-sm {\n",
       "  font-family: \"Roboto\";\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 11.62px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".code-text {\n",
       "  font-family: \"Consolas\";\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 13px;\n",
       "  line-height: 130%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".numbering-entry {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "/* Tooltip container */\n",
       ".tooltip {\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  border-bottom: 1px dotted black;\n",
       "  /* If you want dots under the hoverable text */\n",
       "}\n",
       "\n",
       "/* Tooltip text */\n",
       ".tooltip .tooltiptext {\n",
       "  visibility: hidden;\n",
       "  width: 120px;\n",
       "  background-color: black;\n",
       "  color: #fff;\n",
       "  text-align: center;\n",
       "  padding: 5px 0;\n",
       "  border-radius: 6px;\n",
       "\n",
       "  /* Position the tooltip text - see examples below! */\n",
       "  position: absolute;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".repr-cell {\n",
       "  padding-top: 20px;\n",
       "}\n",
       "\n",
       ".text-bold {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".pr-8 {\n",
       "  padding-right: 8px;\n",
       "}\n",
       "\n",
       ".pt-8 {\n",
       "  padding-top: 8px;\n",
       "}\n",
       "\n",
       ".pl-8 {\n",
       "  padding-left: 8px;\n",
       "}\n",
       "\n",
       ".pb-8 {\n",
       "  padding-bottom: 8px;\n",
       "}\n",
       "\n",
       ".py-25 {\n",
       "  padding-top: 25px;\n",
       "  padding-bottom: 25px;\n",
       "}\n",
       "\n",
       ".flex {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".gap-10 {\n",
       "  gap: 10px;\n",
       "}\n",
       "\n",
       ".items-center {\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".folder-icon {\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".search-input {\n",
       "  display: flex;\n",
       "  flex-direction: row;\n",
       "  align-items: center;\n",
       "  padding: 8px 12px;\n",
       "  width: 343px;\n",
       "  height: 24px;\n",
       "  /* Lt On Surface/Low */\n",
       "  background-color: var(--secondary-color);\n",
       "  border-radius: 30px;\n",
       "\n",
       "  /* Lt On Surface/Highest */\n",
       "  color: var(--tertiary-color);\n",
       "  border: none;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 0;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".search-input:focus {\n",
       "  outline: none;\n",
       "}\n",
       "\n",
       ".search-input:focus::placeholder,\n",
       ".search-input::placeholder {\n",
       "  /* Chrome, Firefox, Opera, Safari 10.1+ */\n",
       "  color: var(--tertiary-color);\n",
       "  opacity: 1;\n",
       "  /* Firefox */\n",
       "}\n",
       "\n",
       ".search-button {\n",
       "  /* Search */\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  text-align: center;\n",
       "\n",
       "  /* Primary/On Light */\n",
       "  background-color: var(--button-color);\n",
       "  color: var(--tertiary-color);\n",
       "\n",
       "  border-radius: 30px;\n",
       "  border-color: var(--secondary-color);\n",
       "  border-style: solid;\n",
       "  box-shadow:\n",
       "    rgba(60, 64, 67, 0.3) 0px 1px 2px 0px,\n",
       "    rgba(60, 64, 67, 0.15) 0px 1px 3px 1px;\n",
       "  cursor: pointer;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 1;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".grid-index-cells {\n",
       "  grid-column: span 1;\n",
       "  /* tmp fix to make left col stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color) !important;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".center-content-cell {\n",
       "  margin: auto;\n",
       "}\n",
       "\n",
       ".grid-header {\n",
       "  /* Auto layout */\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  padding: 6px 4px;\n",
       "\n",
       "  resize: horizontal;\n",
       "  /* Lt On Surface/Surface */\n",
       "  /* Lt On Surface/High */\n",
       "  border: 1px solid #cfcdd6;\n",
       "  /* tmp fix to make header stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".grid-row {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: flex-start;\n",
       "  padding: 6px 4px;\n",
       "  overflow: hidden;\n",
       "  border: 1px solid #cfcdd6;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".syncstate-col-footer {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".syncstate-description {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 600;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  white-space: nowrap;\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       ".widget-header2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  width: 100%;\n",
       "  overflow: hidden;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".widget-header2-2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".jobs-title {\n",
       "  font-family:\n",
       "    Open Sans,\n",
       "    sans-serif;\n",
       "  font-size: 18px;\n",
       "  font-weight: 600;\n",
       "  line-height: 25.2px;\n",
       "  text-align: left;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".diff-state-orange-text {\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".diff-state-no-obj {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".diff-state-intro {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #b4b0bf;\n",
       "}\n",
       "\n",
       ".diff-state-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 22px;\n",
       "  font-weight: 600;\n",
       "  line-height: 30.8px;\n",
       "  text-align: left;\n",
       "  color: #353243;\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "}\n",
       "\n",
       ".diff-state-sub-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".badge {\n",
       "  /* code-text; */\n",
       "  border-radius: 30px;\n",
       "  padding: 6px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label {\n",
       "  /* code-text; */\n",
       "  border-radius: 4px;\n",
       "  padding: 6px 4px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label-light-purple {\n",
       "  /* label; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".label-light-blue {\n",
       "  /* label; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".label-orange {\n",
       "  /* badge; */\n",
       "  background-color: #fee9cd;\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".label-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #353243;\n",
       "}\n",
       "\n",
       ".label-green {\n",
       "  /* badge; */\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".label-red {\n",
       "  /* label; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-blue {\n",
       "  /* badge; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".badge-purple {\n",
       "  /* badge; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".badge-green {\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".badge-red {\n",
       "  /* badge; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #2e2b3b;\n",
       "}\n",
       "\n",
       ".paginationContainer {\n",
       "  width: 100%;\n",
       "  /*height: 30px;*/\n",
       "  display: flex;\n",
       "  justify-content: center;\n",
       "  gap: 8px;\n",
       "  padding: 5px;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".widget-label-basic {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".widget-label-basic input[type=\"checkbox\"][disabled] {\n",
       "  filter: sepia(0.3) hue-rotate(67deg) saturate(3);\n",
       "}\n",
       "\n",
       ".page {\n",
       "  color: black;\n",
       "  font-weight: bold;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".page:hover {\n",
       "  color: #38bdf8;\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".clipboard:hover {\n",
       "  cursor: pointer;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".rendered_html tbody tr:nth-child(odd) {\n",
       "  background: transparent;\n",
       "}\n",
       "\n",
       ".search-field {\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  border-radius: 30px;\n",
       "  background-color: var(--secondary-color);\n",
       "}\n",
       "\n",
       ".syft-dropdown {\n",
       "  margin: 5px;\n",
       "  margin-left: 5px;\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  text-align: center;\n",
       "  background-color: var(--button-color);\n",
       "  min-width: 100px;\n",
       "  padding: 2px;\n",
       "  border-radius: 30px;\n",
       "}\n",
       "\n",
       ".syft-dropdown:hover {\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".syft-dropdown-content {\n",
       "  margin-top: 26px;\n",
       "  display: none;\n",
       "  position: absolute;\n",
       "  min-width: 100px;\n",
       "  box-shadow: 0px 8px 16px 0px rgba(0, 0, 0, 0.2);\n",
       "  padding: 12px 6px;\n",
       "  z-index: 1;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".dd-options {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".dd-options:first-of-type {\n",
       "  padding-top: 0px;\n",
       "}\n",
       "\n",
       ".dd-options:hover {\n",
       "  cursor: pointer;\n",
       "  background: #d1d5db;\n",
       "}\n",
       "\n",
       ".arrow {\n",
       "  border: solid black;\n",
       "  border-width: 0 3px 3px 0;\n",
       "  display: inline-block;\n",
       "  padding: 3px;\n",
       "}\n",
       "\n",
       ".down {\n",
       "  transform: rotate(45deg);\n",
       "  -webkit-transform: rotate(45deg);\n",
       "}\n",
       "\n",
       ".syft-widget ul {\n",
       "  list-style-type: none;\n",
       "  margin: 0;\n",
       "  padding: 0;\n",
       "  overflow: hidden;\n",
       "}\n",
       "\n",
       ".syft-widget li {\n",
       "  float: left;\n",
       "  border-bottom: solid;\n",
       "  border-bottom-color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".syft-widget li a {\n",
       "  display: block;\n",
       "  text-align: center;\n",
       "  padding: 14px 16px;\n",
       "  color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".log-tab-header {\n",
       "  border-bottom: solid 2px #ecebef;\n",
       "  padding: 4px 16px;\n",
       "}\n",
       "\n",
       ".active-border {\n",
       "  border-bottom: solid 2px #1f567a;\n",
       "  font-weight: 700;\n",
       "}\n",
       "\n",
       ".active {\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".syft-widget li a:hover {\n",
       "  background-color: #c2def0;\n",
       "}\n",
       "\n",
       ".syft-code,\n",
       ".syft-user_code,\n",
       ".syft-project,\n",
       ".syft-project-create,\n",
       ".syft-settings,\n",
       ".syft-dataset,\n",
       ".syft-asset,\n",
       ".syft-contributor,\n",
       ".syft-request,\n",
       ".syft-syncstate,\n",
       ".job-info {\n",
       "  color: var(--surface-color);\n",
       "}\n",
       "\n",
       ".syft-dataset h1,\n",
       ".syft-dataset h2,\n",
       ".syft-dataset h3,\n",
       ".syft-dataset p,\n",
       ".syft-asset h3,\n",
       ".syft-asset p,\n",
       ".syft-syncstate h3,\n",
       ".syft-syncstate p,\n",
       ".syft-code p,\n",
       ".syft-code h3 {\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".diff-container {\n",
       "  border: 0.5px solid #b4b0bf;\n",
       "}\n",
       "\n",
       ".syft-container {\n",
       "  padding: 5px;\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "  color: #1f567a;\n",
       "  background-color: #c2def0;\n",
       "  border-radius: 4px;\n",
       "  padding: 5px;\n",
       "  padding: 13px 10px;\n",
       "}\n",
       "\n",
       ".syft-code-block {\n",
       "  background-color: #f7f7f7;\n",
       "  border: 1px solid #cfcfcf;\n",
       "  padding: 0px 2px;\n",
       "}\n",
       "\n",
       ".syft-space {\n",
       "  margin-top: 1em;\n",
       "}\n",
       "\n",
       ".itables {\n",
       "  font-family: \"Consolas\", monospace, sans-serif;\n",
       "}\n",
       "\n",
       ".itables table {\n",
       "  margin: 0 auto;\n",
       "  float: left;\n",
       "  color: var(--surface-highest-color);\n",
       "}\n",
       "\n",
       ".itables table th {\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".syft-request {\n",
       "  line-height: 1;\n",
       "}\n",
       "\n",
       "div.alert-warning,\n",
       "div.alert-info,\n",
       "div.alert-danger,\n",
       "div.alert-success {\n",
       "  padding: 5px;\n",
       "}\n",
       "\n",
       "pre.alert-warning,\n",
       "pre.alert-info,\n",
       "pre.alert-danger,\n",
       "pre.alert-success {\n",
       "  display: inline;\n",
       "  font-family: inherit;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       "</style>\n",
       "\n",
       "<style>\n",
       ".syft-alert-container {\n",
       "    padding: 4px;\n",
       "    display: flex;\n",
       "    justify-content: center;\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "    width: 100%;\n",
       "    padding: 8px 10px;\n",
       "    gap: 8px;\n",
       "    border-radius: 4px;\n",
       "    background: #C2DEF0;\n",
       "    color: #1F567A;\n",
       "    line-height: 1.4;\n",
       "    font-size: 12px;\n",
       "    font-family: 'Open Sans';\n",
       "}\n",
       "</style>\n",
       "<style>\n",
       ".copy-container {\n",
       "  cursor: pointer;\n",
       "  border-radius: 3px;\n",
       "  padding: 0px 3px;\n",
       "  display: inline-block;\n",
       "  transition: background-color 0.3s;\n",
       "  user-select: none;\n",
       "  color: #B4B0BF;\n",
       "  overflow: hidden;\n",
       "  white-space: nowrap;\n",
       "  vertical-align: middle;\n",
       "}\n",
       "\n",
       ".copy-container:hover {\n",
       "  background-color: #f5f5f5;\n",
       "}\n",
       "\n",
       ".copy-container:active {\n",
       "  background-color: #ebebeb;\n",
       "}\n",
       "\n",
       ".copy-text-display {\n",
       "  display: inline-block;\n",
       "  max-width: 50px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  vertical-align: bottom;\n",
       "}\n",
       "</style>\n",
       " <div class=\"alert-success\"><strong>SyftSuccess</strong>: <pre class=\"alert-success\">Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`.</pre></div><br> "
      ],
      "text/plain": [
       "SyftSuccess: Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "\n",
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       "  link.rel = \"stylesheet\";\n",
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       "  font-weight: 600;\n",
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       "  leading-trim: both;\n",
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       "  font-weight: 600;\n",
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       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
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       "\n",
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       "  font-style: normal;\n",
       "  font-weight: 600;\n",
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       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--colors-black);\n",
       "}\n",
       "\n",
       ".paragraph {\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 14px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
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       "\n",
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       "  font-family: \"Roboto\";\n",
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       "  font-weight: 400;\n",
       "  font-size: 11.62px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
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       "\n",
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       "  font-family: \"Consolas\";\n",
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       "  font-weight: 400;\n",
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       "  line-height: 130%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".numbering-entry {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "/* Tooltip container */\n",
       ".tooltip {\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  border-bottom: 1px dotted black;\n",
       "  /* If you want dots under the hoverable text */\n",
       "}\n",
       "\n",
       "/* Tooltip text */\n",
       ".tooltip .tooltiptext {\n",
       "  visibility: hidden;\n",
       "  width: 120px;\n",
       "  background-color: black;\n",
       "  color: #fff;\n",
       "  text-align: center;\n",
       "  padding: 5px 0;\n",
       "  border-radius: 6px;\n",
       "\n",
       "  /* Position the tooltip text - see examples below! */\n",
       "  position: absolute;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".repr-cell {\n",
       "  padding-top: 20px;\n",
       "}\n",
       "\n",
       ".text-bold {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".pr-8 {\n",
       "  padding-right: 8px;\n",
       "}\n",
       "\n",
       ".pt-8 {\n",
       "  padding-top: 8px;\n",
       "}\n",
       "\n",
       ".pl-8 {\n",
       "  padding-left: 8px;\n",
       "}\n",
       "\n",
       ".pb-8 {\n",
       "  padding-bottom: 8px;\n",
       "}\n",
       "\n",
       ".py-25 {\n",
       "  padding-top: 25px;\n",
       "  padding-bottom: 25px;\n",
       "}\n",
       "\n",
       ".flex {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".gap-10 {\n",
       "  gap: 10px;\n",
       "}\n",
       "\n",
       ".items-center {\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".folder-icon {\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".search-input {\n",
       "  display: flex;\n",
       "  flex-direction: row;\n",
       "  align-items: center;\n",
       "  padding: 8px 12px;\n",
       "  width: 343px;\n",
       "  height: 24px;\n",
       "  /* Lt On Surface/Low */\n",
       "  background-color: var(--secondary-color);\n",
       "  border-radius: 30px;\n",
       "\n",
       "  /* Lt On Surface/Highest */\n",
       "  color: var(--tertiary-color);\n",
       "  border: none;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 0;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".search-input:focus {\n",
       "  outline: none;\n",
       "}\n",
       "\n",
       ".search-input:focus::placeholder,\n",
       ".search-input::placeholder {\n",
       "  /* Chrome, Firefox, Opera, Safari 10.1+ */\n",
       "  color: var(--tertiary-color);\n",
       "  opacity: 1;\n",
       "  /* Firefox */\n",
       "}\n",
       "\n",
       ".search-button {\n",
       "  /* Search */\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  text-align: center;\n",
       "\n",
       "  /* Primary/On Light */\n",
       "  background-color: var(--button-color);\n",
       "  color: var(--tertiary-color);\n",
       "\n",
       "  border-radius: 30px;\n",
       "  border-color: var(--secondary-color);\n",
       "  border-style: solid;\n",
       "  box-shadow:\n",
       "    rgba(60, 64, 67, 0.3) 0px 1px 2px 0px,\n",
       "    rgba(60, 64, 67, 0.15) 0px 1px 3px 1px;\n",
       "  cursor: pointer;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 1;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".grid-index-cells {\n",
       "  grid-column: span 1;\n",
       "  /* tmp fix to make left col stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color) !important;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".center-content-cell {\n",
       "  margin: auto;\n",
       "}\n",
       "\n",
       ".grid-header {\n",
       "  /* Auto layout */\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  padding: 6px 4px;\n",
       "\n",
       "  resize: horizontal;\n",
       "  /* Lt On Surface/Surface */\n",
       "  /* Lt On Surface/High */\n",
       "  border: 1px solid #cfcdd6;\n",
       "  /* tmp fix to make header stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".grid-row {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: flex-start;\n",
       "  padding: 6px 4px;\n",
       "  overflow: hidden;\n",
       "  border: 1px solid #cfcdd6;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".syncstate-col-footer {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".syncstate-description {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 600;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  white-space: nowrap;\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       ".widget-header2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  width: 100%;\n",
       "  overflow: hidden;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".widget-header2-2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".jobs-title {\n",
       "  font-family:\n",
       "    Open Sans,\n",
       "    sans-serif;\n",
       "  font-size: 18px;\n",
       "  font-weight: 600;\n",
       "  line-height: 25.2px;\n",
       "  text-align: left;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".diff-state-orange-text {\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".diff-state-no-obj {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".diff-state-intro {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #b4b0bf;\n",
       "}\n",
       "\n",
       ".diff-state-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 22px;\n",
       "  font-weight: 600;\n",
       "  line-height: 30.8px;\n",
       "  text-align: left;\n",
       "  color: #353243;\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "}\n",
       "\n",
       ".diff-state-sub-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".badge {\n",
       "  /* code-text; */\n",
       "  border-radius: 30px;\n",
       "  padding: 6px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label {\n",
       "  /* code-text; */\n",
       "  border-radius: 4px;\n",
       "  padding: 6px 4px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label-light-purple {\n",
       "  /* label; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".label-light-blue {\n",
       "  /* label; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".label-orange {\n",
       "  /* badge; */\n",
       "  background-color: #fee9cd;\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".label-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #353243;\n",
       "}\n",
       "\n",
       ".label-green {\n",
       "  /* badge; */\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".label-red {\n",
       "  /* label; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-blue {\n",
       "  /* badge; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".badge-purple {\n",
       "  /* badge; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".badge-green {\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".badge-red {\n",
       "  /* badge; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #2e2b3b;\n",
       "}\n",
       "\n",
       ".paginationContainer {\n",
       "  width: 100%;\n",
       "  /*height: 30px;*/\n",
       "  display: flex;\n",
       "  justify-content: center;\n",
       "  gap: 8px;\n",
       "  padding: 5px;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".widget-label-basic {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".widget-label-basic input[type=\"checkbox\"][disabled] {\n",
       "  filter: sepia(0.3) hue-rotate(67deg) saturate(3);\n",
       "}\n",
       "\n",
       ".page {\n",
       "  color: black;\n",
       "  font-weight: bold;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".page:hover {\n",
       "  color: #38bdf8;\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".clipboard:hover {\n",
       "  cursor: pointer;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".rendered_html tbody tr:nth-child(odd) {\n",
       "  background: transparent;\n",
       "}\n",
       "\n",
       ".search-field {\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  border-radius: 30px;\n",
       "  background-color: var(--secondary-color);\n",
       "}\n",
       "\n",
       ".syft-dropdown {\n",
       "  margin: 5px;\n",
       "  margin-left: 5px;\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  text-align: center;\n",
       "  background-color: var(--button-color);\n",
       "  min-width: 100px;\n",
       "  padding: 2px;\n",
       "  border-radius: 30px;\n",
       "}\n",
       "\n",
       ".syft-dropdown:hover {\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".syft-dropdown-content {\n",
       "  margin-top: 26px;\n",
       "  display: none;\n",
       "  position: absolute;\n",
       "  min-width: 100px;\n",
       "  box-shadow: 0px 8px 16px 0px rgba(0, 0, 0, 0.2);\n",
       "  padding: 12px 6px;\n",
       "  z-index: 1;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".dd-options {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".dd-options:first-of-type {\n",
       "  padding-top: 0px;\n",
       "}\n",
       "\n",
       ".dd-options:hover {\n",
       "  cursor: pointer;\n",
       "  background: #d1d5db;\n",
       "}\n",
       "\n",
       ".arrow {\n",
       "  border: solid black;\n",
       "  border-width: 0 3px 3px 0;\n",
       "  display: inline-block;\n",
       "  padding: 3px;\n",
       "}\n",
       "\n",
       ".down {\n",
       "  transform: rotate(45deg);\n",
       "  -webkit-transform: rotate(45deg);\n",
       "}\n",
       "\n",
       ".syft-widget ul {\n",
       "  list-style-type: none;\n",
       "  margin: 0;\n",
       "  padding: 0;\n",
       "  overflow: hidden;\n",
       "}\n",
       "\n",
       ".syft-widget li {\n",
       "  float: left;\n",
       "  border-bottom: solid;\n",
       "  border-bottom-color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".syft-widget li a {\n",
       "  display: block;\n",
       "  text-align: center;\n",
       "  padding: 14px 16px;\n",
       "  color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".log-tab-header {\n",
       "  border-bottom: solid 2px #ecebef;\n",
       "  padding: 4px 16px;\n",
       "}\n",
       "\n",
       ".active-border {\n",
       "  border-bottom: solid 2px #1f567a;\n",
       "  font-weight: 700;\n",
       "}\n",
       "\n",
       ".active {\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".syft-widget li a:hover {\n",
       "  background-color: #c2def0;\n",
       "}\n",
       "\n",
       ".syft-code,\n",
       ".syft-user_code,\n",
       ".syft-project,\n",
       ".syft-project-create,\n",
       ".syft-settings,\n",
       ".syft-dataset,\n",
       ".syft-asset,\n",
       ".syft-contributor,\n",
       ".syft-request,\n",
       ".syft-syncstate,\n",
       ".job-info {\n",
       "  color: var(--surface-color);\n",
       "}\n",
       "\n",
       ".syft-dataset h1,\n",
       ".syft-dataset h2,\n",
       ".syft-dataset h3,\n",
       ".syft-dataset p,\n",
       ".syft-asset h3,\n",
       ".syft-asset p,\n",
       ".syft-syncstate h3,\n",
       ".syft-syncstate p,\n",
       ".syft-code p,\n",
       ".syft-code h3 {\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".diff-container {\n",
       "  border: 0.5px solid #b4b0bf;\n",
       "}\n",
       "\n",
       ".syft-container {\n",
       "  padding: 5px;\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "  color: #1f567a;\n",
       "  background-color: #c2def0;\n",
       "  border-radius: 4px;\n",
       "  padding: 5px;\n",
       "  padding: 13px 10px;\n",
       "}\n",
       "\n",
       ".syft-code-block {\n",
       "  background-color: #f7f7f7;\n",
       "  border: 1px solid #cfcfcf;\n",
       "  padding: 0px 2px;\n",
       "}\n",
       "\n",
       ".syft-space {\n",
       "  margin-top: 1em;\n",
       "}\n",
       "\n",
       ".itables {\n",
       "  font-family: \"Consolas\", monospace, sans-serif;\n",
       "}\n",
       "\n",
       ".itables table {\n",
       "  margin: 0 auto;\n",
       "  float: left;\n",
       "  color: var(--surface-highest-color);\n",
       "}\n",
       "\n",
       ".itables table th {\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".syft-request {\n",
       "  line-height: 1;\n",
       "}\n",
       "\n",
       "div.alert-warning,\n",
       "div.alert-info,\n",
       "div.alert-danger,\n",
       "div.alert-success {\n",
       "  padding: 5px;\n",
       "}\n",
       "\n",
       "pre.alert-warning,\n",
       "pre.alert-info,\n",
       "pre.alert-danger,\n",
       "pre.alert-success {\n",
       "  display: inline;\n",
       "  font-family: inherit;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       "</style>\n",
       "\n",
       "<style>\n",
       ".syft-alert-container {\n",
       "    padding: 4px;\n",
       "    display: flex;\n",
       "    justify-content: center;\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "    width: 100%;\n",
       "    padding: 8px 10px;\n",
       "    gap: 8px;\n",
       "    border-radius: 4px;\n",
       "    background: #C2DEF0;\n",
       "    color: #1F567A;\n",
       "    line-height: 1.4;\n",
       "    font-size: 12px;\n",
       "    font-family: 'Open Sans';\n",
       "}\n",
       "</style>\n",
       "<style>\n",
       ".copy-container {\n",
       "  cursor: pointer;\n",
       "  border-radius: 3px;\n",
       "  padding: 0px 3px;\n",
       "  display: inline-block;\n",
       "  transition: background-color 0.3s;\n",
       "  user-select: none;\n",
       "  color: #B4B0BF;\n",
       "  overflow: hidden;\n",
       "  white-space: nowrap;\n",
       "  vertical-align: middle;\n",
       "}\n",
       "\n",
       ".copy-container:hover {\n",
       "  background-color: #f5f5f5;\n",
       "}\n",
       "\n",
       ".copy-container:active {\n",
       "  background-color: #ebebeb;\n",
       "}\n",
       "\n",
       ".copy-text-display {\n",
       "  display: inline-block;\n",
       "  max-width: 50px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  vertical-align: bottom;\n",
       "}\n",
       "</style>\n",
       " <div class=\"alert-success\"><strong>SyftSuccess</strong>: <pre class=\"alert-success\">Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`.</pre></div><br> "
      ],
      "text/plain": [
       "SyftSuccess: Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "}\n",
       "\n",
       ".header-4 {\n",
       "  font-style: normal;\n",
       "  font-weight: 600;\n",
       "  font-size: 1.2em;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--colors-black);\n",
       "}\n",
       "\n",
       ".paragraph {\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 14px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".paragraph-sm {\n",
       "  font-family: \"Roboto\";\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 11.62px;\n",
       "  line-height: 100%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".code-text {\n",
       "  font-family: \"Consolas\";\n",
       "  font-style: normal;\n",
       "  font-weight: 400;\n",
       "  font-size: 13px;\n",
       "  line-height: 130%;\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".numbering-entry {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "/* Tooltip container */\n",
       ".tooltip {\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  border-bottom: 1px dotted black;\n",
       "  /* If you want dots under the hoverable text */\n",
       "}\n",
       "\n",
       "/* Tooltip text */\n",
       ".tooltip .tooltiptext {\n",
       "  visibility: hidden;\n",
       "  width: 120px;\n",
       "  background-color: black;\n",
       "  color: #fff;\n",
       "  text-align: center;\n",
       "  padding: 5px 0;\n",
       "  border-radius: 6px;\n",
       "\n",
       "  /* Position the tooltip text - see examples below! */\n",
       "  position: absolute;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".repr-cell {\n",
       "  padding-top: 20px;\n",
       "}\n",
       "\n",
       ".text-bold {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".pr-8 {\n",
       "  padding-right: 8px;\n",
       "}\n",
       "\n",
       ".pt-8 {\n",
       "  padding-top: 8px;\n",
       "}\n",
       "\n",
       ".pl-8 {\n",
       "  padding-left: 8px;\n",
       "}\n",
       "\n",
       ".pb-8 {\n",
       "  padding-bottom: 8px;\n",
       "}\n",
       "\n",
       ".py-25 {\n",
       "  padding-top: 25px;\n",
       "  padding-bottom: 25px;\n",
       "}\n",
       "\n",
       ".flex {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".gap-10 {\n",
       "  gap: 10px;\n",
       "}\n",
       "\n",
       ".items-center {\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".folder-icon {\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".search-input {\n",
       "  display: flex;\n",
       "  flex-direction: row;\n",
       "  align-items: center;\n",
       "  padding: 8px 12px;\n",
       "  width: 343px;\n",
       "  height: 24px;\n",
       "  /* Lt On Surface/Low */\n",
       "  background-color: var(--secondary-color);\n",
       "  border-radius: 30px;\n",
       "\n",
       "  /* Lt On Surface/Highest */\n",
       "  color: var(--tertiary-color);\n",
       "  border: none;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 0;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".search-input:focus {\n",
       "  outline: none;\n",
       "}\n",
       "\n",
       ".search-input:focus::placeholder,\n",
       ".search-input::placeholder {\n",
       "  /* Chrome, Firefox, Opera, Safari 10.1+ */\n",
       "  color: var(--tertiary-color);\n",
       "  opacity: 1;\n",
       "  /* Firefox */\n",
       "}\n",
       "\n",
       ".search-button {\n",
       "  /* Search */\n",
       "  leading-trim: both;\n",
       "  text-edge: cap;\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  text-align: center;\n",
       "\n",
       "  /* Primary/On Light */\n",
       "  background-color: var(--button-color);\n",
       "  color: var(--tertiary-color);\n",
       "\n",
       "  border-radius: 30px;\n",
       "  border-color: var(--secondary-color);\n",
       "  border-style: solid;\n",
       "  box-shadow:\n",
       "    rgba(60, 64, 67, 0.3) 0px 1px 2px 0px,\n",
       "    rgba(60, 64, 67, 0.15) 0px 1px 3px 1px;\n",
       "  cursor: pointer;\n",
       "  /* Inside auto layout */\n",
       "  flex: none;\n",
       "  order: 1;\n",
       "  flex-grow: 0;\n",
       "}\n",
       "\n",
       ".grid-index-cells {\n",
       "  grid-column: span 1;\n",
       "  /* tmp fix to make left col stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color) !important;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".center-content-cell {\n",
       "  margin: auto;\n",
       "}\n",
       "\n",
       ".grid-header {\n",
       "  /* Auto layout */\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  padding: 6px 4px;\n",
       "\n",
       "  resize: horizontal;\n",
       "  /* Lt On Surface/Surface */\n",
       "  /* Lt On Surface/High */\n",
       "  border: 1px solid #cfcdd6;\n",
       "  /* tmp fix to make header stand out (fix with font-family) */\n",
       "  font-weight: 600;\n",
       "  background-color: var(--secondary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".grid-row {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: flex-start;\n",
       "  padding: 6px 4px;\n",
       "  overflow: hidden;\n",
       "  border: 1px solid #cfcdd6;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".syncstate-col-footer {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".syncstate-description {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 600;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  white-space: nowrap;\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       ".widget-header2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  width: 100%;\n",
       "  overflow: hidden;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".widget-header2-2 {\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "  justify-content: start;\n",
       "  align-items: center;\n",
       "}\n",
       "\n",
       ".jobs-title {\n",
       "  font-family:\n",
       "    Open Sans,\n",
       "    sans-serif;\n",
       "  font-size: 18px;\n",
       "  font-weight: 600;\n",
       "  line-height: 25.2px;\n",
       "  text-align: left;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".diff-state-orange-text {\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".diff-state-no-obj {\n",
       "  font-family: \"DejaVu Sans Mono\", \"Open Sans\";\n",
       "  font-size: 12px;\n",
       "  font-weight: 400;\n",
       "  line-height: 16.8px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".diff-state-intro {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #b4b0bf;\n",
       "}\n",
       "\n",
       ".diff-state-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 22px;\n",
       "  font-weight: 600;\n",
       "  line-height: 30.8px;\n",
       "  text-align: left;\n",
       "  color: #353243;\n",
       "  display: flex;\n",
       "  gap: 8px;\n",
       "}\n",
       "\n",
       ".diff-state-sub-header {\n",
       "  font-family: Open Sans;\n",
       "  font-size: 14px;\n",
       "  font-weight: 400;\n",
       "  line-height: 19.6px;\n",
       "  text-align: left;\n",
       "  color: #5e5a72;\n",
       "}\n",
       "\n",
       ".badge {\n",
       "  /* code-text; */\n",
       "  border-radius: 30px;\n",
       "  padding: 6px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label {\n",
       "  /* code-text; */\n",
       "  border-radius: 4px;\n",
       "  padding: 6px 4px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  line-height: 1.2;\n",
       "  font-family: monospace;\n",
       "}\n",
       "\n",
       ".label-light-purple {\n",
       "  /* label; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".label-light-blue {\n",
       "  /* label; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".label-orange {\n",
       "  /* badge; */\n",
       "  background-color: #fee9cd;\n",
       "  color: #b8520a;\n",
       "}\n",
       "\n",
       ".label-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #353243;\n",
       "}\n",
       "\n",
       ".label-green {\n",
       "  /* badge; */\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".label-red {\n",
       "  /* label; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-blue {\n",
       "  /* badge; */\n",
       "  background-color: #c2def0;\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".badge-purple {\n",
       "  /* badge; */\n",
       "  background-color: #c9cfe8;\n",
       "  color: #373b7b;\n",
       "}\n",
       "\n",
       ".badge-green {\n",
       "  background-color: #d5f1d5;\n",
       "  color: #256b24;\n",
       "}\n",
       "\n",
       ".badge-red {\n",
       "  /* badge; */\n",
       "  background-color: #f2d9de;\n",
       "  color: #9b2737;\n",
       "}\n",
       "\n",
       ".badge-gray {\n",
       "  /* badge; */\n",
       "  background-color: #ecebef;\n",
       "  color: #2e2b3b;\n",
       "}\n",
       "\n",
       ".paginationContainer {\n",
       "  width: 100%;\n",
       "  /*height: 30px;*/\n",
       "  display: flex;\n",
       "  justify-content: center;\n",
       "  gap: 8px;\n",
       "  padding: 5px;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".widget-label-basic {\n",
       "  display: flex;\n",
       "}\n",
       "\n",
       ".widget-label-basic input[type=\"checkbox\"][disabled] {\n",
       "  filter: sepia(0.3) hue-rotate(67deg) saturate(3);\n",
       "}\n",
       "\n",
       ".page {\n",
       "  color: black;\n",
       "  font-weight: bold;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".page:hover {\n",
       "  color: #38bdf8;\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".clipboard:hover {\n",
       "  cursor: pointer;\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".rendered_html tbody tr:nth-child(odd) {\n",
       "  background: transparent;\n",
       "}\n",
       "\n",
       ".search-field {\n",
       "  display: flex;\n",
       "  align-items: center;\n",
       "  border-radius: 30px;\n",
       "  background-color: var(--secondary-color);\n",
       "}\n",
       "\n",
       ".syft-dropdown {\n",
       "  margin: 5px;\n",
       "  margin-left: 5px;\n",
       "  position: relative;\n",
       "  display: inline-block;\n",
       "  text-align: center;\n",
       "  background-color: var(--button-color);\n",
       "  min-width: 100px;\n",
       "  padding: 2px;\n",
       "  border-radius: 30px;\n",
       "}\n",
       "\n",
       ".syft-dropdown:hover {\n",
       "  cursor: pointer;\n",
       "}\n",
       "\n",
       ".syft-dropdown-content {\n",
       "  margin-top: 26px;\n",
       "  display: none;\n",
       "  position: absolute;\n",
       "  min-width: 100px;\n",
       "  box-shadow: 0px 8px 16px 0px rgba(0, 0, 0, 0.2);\n",
       "  padding: 12px 6px;\n",
       "  z-index: 1;\n",
       "  background-color: var(--primary-color);\n",
       "  color: var(--tertiary-color);\n",
       "}\n",
       "\n",
       ".dd-options {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".dd-options:first-of-type {\n",
       "  padding-top: 0px;\n",
       "}\n",
       "\n",
       ".dd-options:hover {\n",
       "  cursor: pointer;\n",
       "  background: #d1d5db;\n",
       "}\n",
       "\n",
       ".arrow {\n",
       "  border: solid black;\n",
       "  border-width: 0 3px 3px 0;\n",
       "  display: inline-block;\n",
       "  padding: 3px;\n",
       "}\n",
       "\n",
       ".down {\n",
       "  transform: rotate(45deg);\n",
       "  -webkit-transform: rotate(45deg);\n",
       "}\n",
       "\n",
       ".syft-widget ul {\n",
       "  list-style-type: none;\n",
       "  margin: 0;\n",
       "  padding: 0;\n",
       "  overflow: hidden;\n",
       "}\n",
       "\n",
       ".syft-widget li {\n",
       "  float: left;\n",
       "  border-bottom: solid;\n",
       "  border-bottom-color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".syft-widget li a {\n",
       "  display: block;\n",
       "  text-align: center;\n",
       "  padding: 14px 16px;\n",
       "  color: #cfcdd6;\n",
       "}\n",
       "\n",
       ".log-tab-header {\n",
       "  border-bottom: solid 2px #ecebef;\n",
       "  padding: 4px 16px;\n",
       "}\n",
       "\n",
       ".active-border {\n",
       "  border-bottom: solid 2px #1f567a;\n",
       "  font-weight: 700;\n",
       "}\n",
       "\n",
       ".active {\n",
       "  color: #1f567a;\n",
       "}\n",
       "\n",
       ".syft-widget li a:hover {\n",
       "  background-color: #c2def0;\n",
       "}\n",
       "\n",
       ".syft-code,\n",
       ".syft-user_code,\n",
       ".syft-project,\n",
       ".syft-project-create,\n",
       ".syft-settings,\n",
       ".syft-dataset,\n",
       ".syft-asset,\n",
       ".syft-contributor,\n",
       ".syft-request,\n",
       ".syft-syncstate,\n",
       ".job-info {\n",
       "  color: var(--surface-color);\n",
       "}\n",
       "\n",
       ".syft-dataset h1,\n",
       ".syft-dataset h2,\n",
       ".syft-dataset h3,\n",
       ".syft-dataset p,\n",
       ".syft-asset h3,\n",
       ".syft-asset p,\n",
       ".syft-syncstate h3,\n",
       ".syft-syncstate p,\n",
       ".syft-code p,\n",
       ".syft-code h3 {\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".diff-container {\n",
       "  border: 0.5px solid #b4b0bf;\n",
       "}\n",
       "\n",
       ".syft-container {\n",
       "  padding: 5px;\n",
       "  font-family: \"Open Sans\";\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "  color: #1f567a;\n",
       "  background-color: #c2def0;\n",
       "  border-radius: 4px;\n",
       "  padding: 5px;\n",
       "  padding: 13px 10px;\n",
       "}\n",
       "\n",
       ".syft-code-block {\n",
       "  background-color: #f7f7f7;\n",
       "  border: 1px solid #cfcfcf;\n",
       "  padding: 0px 2px;\n",
       "}\n",
       "\n",
       ".syft-space {\n",
       "  margin-top: 1em;\n",
       "}\n",
       "\n",
       ".itables {\n",
       "  font-family: \"Consolas\", monospace, sans-serif;\n",
       "}\n",
       "\n",
       ".itables table {\n",
       "  margin: 0 auto;\n",
       "  float: left;\n",
       "  color: var(--surface-highest-color);\n",
       "}\n",
       "\n",
       ".itables table th {\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       ".syft-request {\n",
       "  line-height: 1;\n",
       "}\n",
       "\n",
       "div.alert-warning,\n",
       "div.alert-info,\n",
       "div.alert-danger,\n",
       "div.alert-success {\n",
       "  padding: 5px;\n",
       "}\n",
       "\n",
       "pre.alert-warning,\n",
       "pre.alert-info,\n",
       "pre.alert-danger,\n",
       "pre.alert-success {\n",
       "  display: inline;\n",
       "  font-family: inherit;\n",
       "  color: var(--text-color);\n",
       "}\n",
       "\n",
       "</style>\n",
       "\n",
       "<style>\n",
       ".syft-alert-container {\n",
       "    padding: 4px;\n",
       "    display: flex;\n",
       "    justify-content: center;\n",
       "}\n",
       "\n",
       ".syft-alert-info {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "    width: 100%;\n",
       "    padding: 8px 10px;\n",
       "    gap: 8px;\n",
       "    border-radius: 4px;\n",
       "    background: #C2DEF0;\n",
       "    color: #1F567A;\n",
       "    line-height: 1.4;\n",
       "    font-size: 12px;\n",
       "    font-family: 'Open Sans';\n",
       "}\n",
       "</style>\n",
       "<style>\n",
       ".copy-container {\n",
       "  cursor: pointer;\n",
       "  border-radius: 3px;\n",
       "  padding: 0px 3px;\n",
       "  display: inline-block;\n",
       "  transition: background-color 0.3s;\n",
       "  user-select: none;\n",
       "  color: #B4B0BF;\n",
       "  overflow: hidden;\n",
       "  white-space: nowrap;\n",
       "  vertical-align: middle;\n",
       "}\n",
       "\n",
       ".copy-container:hover {\n",
       "  background-color: #f5f5f5;\n",
       "}\n",
       "\n",
       ".copy-container:active {\n",
       "  background-color: #ebebeb;\n",
       "}\n",
       "\n",
       ".copy-text-display {\n",
       "  display: inline-block;\n",
       "  max-width: 50px;\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  vertical-align: bottom;\n",
       "}\n",
       "</style>\n",
       " <div class=\"alert-success\"><strong>SyftSuccess</strong>: <pre class=\"alert-success\">Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`.</pre></div><br> "
      ],
      "text/plain": [
       "SyftSuccess: Syft function 'dl_experiment' successfully created. To add a code request, please create a project using `project = syft.Project(...)`, then use command `project.create_code_request`."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for name, datasite in datasites.items():\n",
    "    data_asset = datasite.datasets[\"Heart Disease Dataset\"].assets[\"Heart Study Data\"]\n",
    "\n",
    "    syft_fl_experiment = sy.syft_function(\n",
    "        input_policy=MixedInputPolicy(\n",
    "            client=datasite, data=data_asset, model_params=dict, training_epochs=int\n",
    "        )\n",
    "    )(dl_experiment)\n",
    "    dl_training_project = sy.Project(\n",
    "        name=\"DL Experiment for FL\",\n",
    "        description=\"\"\"I would like to run this DL experiment on Heart Disease data, to be used in a Federated Learning fashion. \n",
    "        The function will iteratively be invoked by passing updated model parameters resulting from FL iterations. \n",
    "        These parameters are obtained by averaging the parameters of each model run on each of the four Hospital datasites.\n",
    "        Training and Test metrics will be returned after each execution to monitor the learning progress.\"\"\",\n",
    "        members=[datasite],\n",
    "    )\n",
    "    dl_training_project.create_code_request(syft_fl_experiment, datasite)\n",
    "    project = dl_training_project.send()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cd5b6a9a-bae5-4351-afde-6b762f8d57f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datasite: Cleveland Clinic\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"<class 'syft.service.code.user_code.UserCodeStatusCollection'> approved\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datasite: Hungarian Inst. of Cardiology\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"<class 'syft.service.code.user_code.UserCodeStatusCollection'> approved\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datasite: Univ. Hospitals Zurich and Basel\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"<class 'syft.service.code.user_code.UserCodeStatusCollection'> approved\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datasite: V.A. Medical Center\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"<class 'syft.service.code.user_code.UserCodeStatusCollection'> approved\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from utils import check_status_last_code_requests\n",
    "\n",
    "check_status_last_code_requests(datasites)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1de73933-60b5-4602-89b4-11d33de0c74c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "from itertools import groupby\n",
    "from collections import defaultdict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "69dfa7d6-43a0-4a77-9b3e-481bd05c57ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "def avg(all_model_params: list[ModelParams]) -> ModelParams:\n",
    "    return {layer: np.average([params[layer] for params in all_model_params], axis=0) \n",
    "            for layer in all_model_params[0].keys()}\n",
    "\n",
    "\n",
    "def fl_experiment(datasites, fl_epochs: int = 75, start_epoch: int = 0, \n",
    "                  training_epochs: int = 5, model_params: ModelParams = None):\n",
    "    \"\"\"Federated Learning Experiment, using PyTorch DL models.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    datasites: dict[str, sy.DatasiteClient]\n",
    "        Map of each available Syft Datasite.\n",
    "    fl_epochs: int (default: 75)\n",
    "        Number of FL epochs to run in the experiment\n",
    "    start_epoch: int (default: 0)\n",
    "        Starting FL epoch (useful for consecutive function calls)\n",
    "    training_epochs: int (default: 5)\n",
    "        Number of training epochs of DL models on each datasite (see `dl_experiment`).\n",
    "    model_params: ModelParams (default: None)\n",
    "        If not None, the initial model parameters to consider. This is useful to iteratively\n",
    "        invoke this function multiple times, allowing to store intermediate results.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    fl_metrics: dict[int, list]\n",
    "        Dictionary containing metrics, and model parameters of the DL experiment during each FL epoch.\n",
    "        The list includes one entry per each Datasite.\n",
    "    fl_model_params: ModelParams\n",
    "        The average model parameters resulting from the FL experiment\n",
    "    \"\"\"\n",
    "    fl_model_params = dict() if not model_params else model_params\n",
    "    fl_metrics = defaultdict(list)  # one entry per epoch as a list\n",
    "    for epoch in range(start_epoch, (total_epochs := start_epoch+fl_epochs)):\n",
    "        is_checkpoint = (epoch == start_epoch) or (epoch % (total_epochs // 4) == 0) or (epoch == total_epochs - 1)\n",
    "        for datasite in datasites.values():\n",
    "            data_asset = datasite.datasets[\"Heart Disease Dataset\"].assets[\"Heart Study Data\"]\n",
    "            metrics, params = datasite.code.dl_experiment(data=data_asset, model_params=fl_model_params, \n",
    "                                                          training_epochs=training_epochs).get_from(datasite)\n",
    "            fl_metrics[epoch].append((metrics, params))\n",
    "        if is_checkpoint:\n",
    "            print(\"Epoch: \", epoch)\n",
    "            for idx, name in enumerate(datasites):\n",
    "                metrics = fl_metrics[epoch][idx][0]\n",
    "                print(f\"\\t {name}: Train:{metrics[0][\"mcc\"]:.3f} | Test:{metrics[1][\"mcc\"]:.3f}\")\n",
    "        fl_model_params = avg([params for _, params in fl_metrics[epoch]])\n",
    "    return fl_metrics, fl_model_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "eef397fa-237f-49b6-9013-289e1a18627f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch:  0\n",
      "\t Cleveland Clinic: Train:0.000 | Test:0.000\n",
      "\t Hungarian Inst. of Cardiology: Train:0.000 | Test:0.000\n",
      "\t Univ. Hospitals Zurich and Basel: Train:0.000 | Test:0.000\n",
      "\t V.A. Medical Center: Train:0.000 | Test:0.000\n",
      "Epoch:  18\n",
      "\t Cleveland Clinic: Train:0.000 | Test:0.000\n",
      "\t Hungarian Inst. of Cardiology: Train:0.000 | Test:0.000\n",
      "\t Univ. Hospitals Zurich and Basel: Train:0.039 | Test:0.000\n",
      "\t V.A. Medical Center: Train:0.070 | Test:0.046\n",
      "Epoch:  36\n",
      "\t Cleveland Clinic: Train:0.000 | Test:0.000\n",
      "\t Hungarian Inst. of Cardiology: Train:0.000 | Test:0.000\n",
      "\t Univ. Hospitals Zurich and Basel: Train:0.000 | Test:0.000\n",
      "\t V.A. Medical Center: Train:0.048 | Test:0.000\n",
      "Epoch:  54\n",
      "\t Cleveland Clinic: Train:0.548 | Test:0.610\n",
      "\t Hungarian Inst. of Cardiology: Train:0.128 | Test:0.000\n",
      "\t Univ. Hospitals Zurich and Basel: Train:0.053 | Test:0.330\n",
      "\t V.A. Medical Center: Train:0.165 | Test:0.240\n",
      "Epoch:  72\n",
      "\t Cleveland Clinic: Train:0.553 | Test:0.630\n",
      "\t Hungarian Inst. of Cardiology: Train:0.587 | Test:0.420\n",
      "\t Univ. Hospitals Zurich and Basel: Train:0.084 | Test:0.100\n",
      "\t V.A. Medical Center: Train:0.132 | Test:0.272\n",
      "Epoch:  74\n",
      "\t Cleveland Clinic: Train:0.553 | Test:0.630\n",
      "\t Hungarian Inst. of Cardiology: Train:0.579 | Test:0.421\n",
      "\t Univ. Hospitals Zurich and Basel: Train:0.084 | Test:0.100\n",
      "\t V.A. Medical Center: Train:0.159 | Test:0.201\n"
     ]
    }
   ],
   "source": [
    "fl_metrics, fl_model_params = fl_experiment(datasites)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44a61324-ed24-43cc-9c01-f8c1372399b9",
   "metadata": {},
   "source": [
    "## Step 4. Plot Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2f6e83ea-762f-4426-bfab-c098f8c6d05d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from utils import plot_fl_metrics\n",
    "\n",
    "plot_fl_metrics(datasites, fl_metrics, title=\"FL Experiment on Heart Disease Data w/ MLP\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fe612ed5-0549-480e-a23f-79723c681fcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from utils import plot_all_confusion_matrices\n",
    "\n",
    "last_epoch = sorted(fl_metrics)[-1]\n",
    "confusion_matrices = {name: fl_metrics[last_epoch][idx][0][1][\"cm\"] for idx, name in enumerate(datasites)}\n",
    "plot_all_confusion_matrices(confusion_matrices, title=\"Confusion Matrices of FL MLP\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3e59739-8e38-41f7-bb05-da81d017ba85",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "\n",
    "to complete"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}