canswim_tests.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Canswim testing notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Obtaining file:///home/ivelin/canswim\n",
      "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: darts in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from canswim==0.0.1) (0.27.2)\n",
      "Requirement already satisfied: yfinance in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from canswim==0.0.1) (0.2.33)\n",
      "Requirement already satisfied: fmpsdk in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from canswim==0.0.1) (20230623.0)\n",
      "Requirement already satisfied: optuna==3.4.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from canswim==0.0.1) (3.4.0)\n",
      "Requirement already satisfied: huggingface_hub in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from canswim==0.0.1) (0.20.3)\n",
      "Requirement already satisfied: alembic>=1.5.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (1.13.1)\n",
      "Requirement already satisfied: colorlog in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (6.8.2)\n",
      "Requirement already satisfied: numpy in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (1.26.3)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (23.2)\n",
      "Requirement already satisfied: sqlalchemy>=1.3.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (2.0.25)\n",
      "Requirement already satisfied: tqdm in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (4.66.1)\n",
      "Requirement already satisfied: PyYAML in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from optuna==3.4.0->canswim==0.0.1) (6.0.1)\n",
      "Requirement already satisfied: holidays>=0.11.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (0.39)\n",
      "Requirement already satisfied: joblib>=0.16.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.3.2)\n",
      "Requirement already satisfied: matplotlib>=3.3.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (3.8.2)\n",
      "Requirement already satisfied: nfoursid>=1.0.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.0.1)\n",
      "Requirement already satisfied: pmdarima>=1.8.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.0.4)\n",
      "Requirement already satisfied: pyod>=0.9.5 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.1.2)\n",
      "Requirement already satisfied: requests>=2.22.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.31.0)\n",
      "Requirement already satisfied: scikit-learn>=1.0.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.3.2)\n",
      "Requirement already satisfied: scipy>=1.3.2 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.11.4)\n",
      "Requirement already satisfied: shap>=0.40.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (0.44.0)\n",
      "Requirement already satisfied: statsforecast>=1.4 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.7.0)\n",
      "Requirement already satisfied: statsmodels>=0.14.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (0.14.1)\n",
      "Requirement already satisfied: tbats>=1.1.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (1.1.3)\n",
      "Requirement already satisfied: typing-extensions in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (4.9.0)\n",
      "Requirement already satisfied: xarray>=0.17.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2023.12.0)\n",
      "Requirement already satisfied: xgboost>=1.6.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.0.3)\n",
      "Requirement already satisfied: pytorch-lightning<=2.1.2,>=1.5.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.1.2)\n",
      "Requirement already satisfied: tensorboardX>=2.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.6.2.2)\n",
      "Requirement already satisfied: torch>=1.8.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.1.2)\n",
      "Requirement already satisfied: pandas>=1.0.5 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from darts->canswim==0.0.1) (2.1.4)\n",
      "Requirement already satisfied: python-dotenv in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fmpsdk->canswim==0.0.1) (1.0.0)\n",
      "Requirement already satisfied: filelock in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from huggingface_hub->canswim==0.0.1) (3.13.1)\n",
      "Requirement already satisfied: fsspec>=2023.5.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from huggingface_hub->canswim==0.0.1) (2023.12.2)\n",
      "Requirement already satisfied: multitasking>=0.0.7 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (0.0.11)\n",
      "Requirement already satisfied: lxml>=4.9.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (5.0.0)\n",
      "Requirement already satisfied: appdirs>=1.4.4 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (1.4.4)\n",
      "Requirement already satisfied: pytz>=2022.5 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (2023.3.post1)\n",
      "Requirement already satisfied: frozendict>=2.3.4 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (2.4.0)\n",
      "Requirement already satisfied: peewee>=3.16.2 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (3.17.0)\n",
      "Requirement already satisfied: beautifulsoup4>=4.11.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (4.12.2)\n",
      "Requirement already satisfied: html5lib>=1.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from yfinance->canswim==0.0.1) (1.1)\n",
      "Requirement already satisfied: Mako in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from alembic>=1.5.0->optuna==3.4.0->canswim==0.0.1) (1.3.0)\n",
      "Requirement already satisfied: soupsieve>1.2 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from beautifulsoup4>=4.11.1->yfinance->canswim==0.0.1) (2.5)\n",
      "Requirement already satisfied: python-dateutil in /home/ivelin/.local/lib/python3.11/site-packages (from holidays>=0.11.1->darts->canswim==0.0.1) (2.8.2)\n",
      "Requirement already satisfied: six>=1.9 in /home/ivelin/.local/lib/python3.11/site-packages (from html5lib>=1.1->yfinance->canswim==0.0.1) (1.16.0)\n",
      "Requirement already satisfied: webencodings in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from html5lib>=1.1->yfinance->canswim==0.0.1) (0.5.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from matplotlib>=3.3.0->darts->canswim==0.0.1) (1.2.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from matplotlib>=3.3.0->darts->canswim==0.0.1) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from matplotlib>=3.3.0->darts->canswim==0.0.1) (4.47.0)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from matplotlib>=3.3.0->darts->canswim==0.0.1) (1.4.5)\n",
      "Requirement already satisfied: pillow>=8 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from matplotlib>=3.3.0->darts->canswim==0.0.1) (10.1.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from matplotlib>=3.3.0->darts->canswim==0.0.1) (3.1.1)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pandas>=1.0.5->darts->canswim==0.0.1) (2023.4)\n",
      "Requirement already satisfied: Cython!=0.29.18,!=0.29.31,>=0.29 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pmdarima>=1.8.0->darts->canswim==0.0.1) (3.0.7)\n",
      "Requirement already satisfied: urllib3 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pmdarima>=1.8.0->darts->canswim==0.0.1) (1.26.18)\n",
      "Requirement already satisfied: setuptools!=50.0.0,>=38.6.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pmdarima>=1.8.0->darts->canswim==0.0.1) (68.2.2)\n",
      "Requirement already satisfied: numba>=0.51 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pyod>=0.9.5->darts->canswim==0.0.1) (0.58.1)\n",
      "Requirement already satisfied: torchmetrics>=0.7.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (1.2.1)\n",
      "Requirement already satisfied: lightning-utilities>=0.8.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (0.10.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from requests>=2.22.0->darts->canswim==0.0.1) (2.0.4)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from requests>=2.22.0->darts->canswim==0.0.1) (3.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from requests>=2.22.0->darts->canswim==0.0.1) (2023.11.17)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from scikit-learn>=1.0.1->darts->canswim==0.0.1) (3.2.0)\n",
      "Requirement already satisfied: slicer==0.0.7 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from shap>=0.40.0->darts->canswim==0.0.1) (0.0.7)\n",
      "Requirement already satisfied: cloudpickle in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from shap>=0.40.0->darts->canswim==0.0.1) (3.0.0)\n",
      "Requirement already satisfied: greenlet!=0.4.17 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from sqlalchemy>=1.3.0->optuna==3.4.0->canswim==0.0.1) (3.0.3)\n",
      "Requirement already satisfied: fugue>=0.8.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from statsforecast>=1.4->darts->canswim==0.0.1) (0.8.7)\n",
      "Requirement already satisfied: utilsforecast>=0.0.23 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from statsforecast>=1.4->darts->canswim==0.0.1) (0.0.23)\n",
      "Requirement already satisfied: patsy>=0.5.4 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from statsmodels>=0.14.0->darts->canswim==0.0.1) (0.5.5)\n",
      "Requirement already satisfied: protobuf>=3.20 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from tensorboardX>=2.1->darts->canswim==0.0.1) (3.20.3)\n",
      "Requirement already satisfied: sympy in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (1.12)\n",
      "Requirement already satisfied: networkx in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (3.2.1)\n",
      "Requirement already satisfied: jinja2 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (3.1.2)\n",
      "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (12.1.105)\n",
      "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (12.1.105)\n",
      "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (12.1.105)\n",
      "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (8.9.2.26)\n",
      "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (12.1.3.1)\n",
      "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (11.0.2.54)\n",
      "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (10.3.2.106)\n",
      "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (11.4.5.107)\n",
      "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (12.1.0.106)\n",
      "Requirement already satisfied: nvidia-nccl-cu12==2.18.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (2.18.1)\n",
      "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (12.1.105)\n",
      "Requirement already satisfied: triton==2.1.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from torch>=1.8.0->darts->canswim==0.0.1) (2.1.0)\n",
      "Requirement already satisfied: nvidia-nvjitlink-cu12 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.8.0->darts->canswim==0.0.1) (12.3.101)\n",
      "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fsspec[http]>2021.06.0->pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (3.9.1)\n",
      "Requirement already satisfied: triad>=0.9.3 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (0.9.3)\n",
      "Requirement already satisfied: adagio>=0.2.4 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (0.2.4)\n",
      "Requirement already satisfied: qpd>=0.4.4 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (0.4.4)\n",
      "Requirement already satisfied: fugue-sql-antlr>=0.1.6 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (0.2.0)\n",
      "Requirement already satisfied: sqlglot in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (20.5.0)\n",
      "Requirement already satisfied: llvmlite<0.42,>=0.41.0dev0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from numba>=0.51->pyod>=0.9.5->darts->canswim==0.0.1) (0.41.1)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from jinja2->torch>=1.8.0->darts->canswim==0.0.1) (2.1.4)\n",
      "Requirement already satisfied: mpmath>=0.19 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from sympy->torch>=1.8.0->darts->canswim==0.0.1) (1.3.0)\n",
      "Requirement already satisfied: attrs>=17.3.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>2021.06.0->pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (23.1.0)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>2021.06.0->pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (6.0.4)\n",
      "Requirement already satisfied: yarl<2.0,>=1.0 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>2021.06.0->pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (1.9.3)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>2021.06.0->pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (1.4.1)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>2021.06.0->pytorch-lightning<=2.1.2,>=1.5.0->darts->canswim==0.0.1) (1.2.0)\n",
      "Requirement already satisfied: antlr4-python3-runtime<4.12 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from fugue-sql-antlr>=0.1.6->fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (4.11.1)\n",
      "Requirement already satisfied: pyarrow>=6.0.1 in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from triad>=0.9.3->fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (14.0.2)\n",
      "Requirement already satisfied: fs in /home/ivelin/anaconda3/envs/canswim/lib/python3.11/site-packages (from triad>=0.9.3->fugue>=0.8.1->statsforecast>=1.4->darts->canswim==0.0.1) (2.4.16)\n",
      "Installing collected packages: canswim\n",
      "  Attempting uninstall: canswim\n",
      "    Found existing installation: canswim 0.0.1\n",
      "    Uninstalling canswim-0.0.1:\n",
      "      Successfully uninstalled canswim-0.0.1\n",
      "  Running setup.py develop for canswim\n",
      "Successfully installed canswim-0.0.1\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install -e ./\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip install pytest hypothesis chardet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HF_TOKEN=True\n"
     ]
    }
   ],
   "source": [
    "from dotenv import load_dotenv\n",
    "import os\n",
    "\n",
    "load_dotenv(override=True)\n",
    "\n",
    "HF_TOKEN=os.getenv(\"HF_TOKEN\")\n",
    "\n",
    "print(f'HF_TOKEN={HF_TOKEN!= None}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from darts.models import TiDEModel\n",
    "from canswim.hfhub import HFHub\n",
    "\n",
    "# model = TiDEModel(input_chunk_length=10, output_chunk_length=2)\n",
    "\n",
    "local_dir = \"tmp/hf_hub_tmp/\"\n",
    "model_name = \"canswim_model.pt\"\n",
    "model_path=local_dir+model_name\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "model = TiDEModel.load(model_path)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.trainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save(path=model_path)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.model_name = \"canswim_model.pt\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "hfhub = HFHub()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "repo_id=\"ivelin/darts-model-test\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hfhub.upload_model(model=model, repo_id=repo_id, private=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hfhub.download_model(repo_id=repo_id, model_name=model.model_name, model_class=TiDEModel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from darts import TimeSeries\n",
    "from darts.datasets import AirPassengersDataset\n",
    "\n",
    "ts = AirPassengersDataset().load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "       [[121.]],\n",
       "\n",
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       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[136.]],\n",
       "\n",
       "       [[119.]],\n",
       "\n",
       "...\n",
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       "       [[419.]],\n",
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       "\n",
       "       [[472.]],\n",
       "\n",
       "       [[535.]],\n",
       "\n",
       "       [[622.]],\n",
       "\n",
       "       [[606.]],\n",
       "\n",
       "       [[508.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[390.]],\n",
       "\n",
       "       [[432.]]])\n",
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       "  * component  (component) object &#x27;#Passengers&#x27;\n",
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       "Attributes:\n",
       "    static_covariates:  None\n",
       "    hierarchy:          None</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>TimeSeries (DataArray)</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>Month</span>: 144</li><li><span class='xr-has-index'>component</span>: 1</li><li><span>sample</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8890c5e5-2ff4-4421-be52-e2cb1d5fc82d' class='xr-array-in' type='checkbox' checked><label for='section-8890c5e5-2ff4-4421-be52-e2cb1d5fc82d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>112.0 118.0 132.0 129.0 121.0 135.0 ... 606.0 508.0 461.0 390.0 432.0</span></div><div class='xr-array-data'><pre>array([[[112.]],\n",
       "\n",
       "       [[118.]],\n",
       "\n",
       "       [[132.]],\n",
       "\n",
       "       [[129.]],\n",
       "\n",
       "       [[121.]],\n",
       "\n",
       "       [[135.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[136.]],\n",
       "\n",
       "       [[119.]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[419.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[472.]],\n",
       "\n",
       "       [[535.]],\n",
       "\n",
       "       [[622.]],\n",
       "\n",
       "       [[606.]],\n",
       "\n",
       "       [[508.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[390.]],\n",
       "\n",
       "       [[432.]]])</pre></div></div></li><li class='xr-section-item'><input id='section-5875090c-6bd0-4078-a7c8-527c26307ea4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5875090c-6bd0-4078-a7c8-527c26307ea4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Month</span></div><div class='xr-var-dims'>(Month)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1949-01-01 ... 1960-12-01</div><input id='attrs-5c855ee0-a914-4094-875b-d56195fa956c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c855ee0-a914-4094-875b-d56195fa956c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00f1b78f-7cf5-4f49-b389-d8c1dc6a87ee' class='xr-var-data-in' type='checkbox'><label for='data-00f1b78f-7cf5-4f49-b389-d8c1dc6a87ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1949-01-01T00:00:00.000000000&#x27;, &#x27;1949-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-03-01T00:00:00.000000000&#x27;, &#x27;1949-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-05-01T00:00:00.000000000&#x27;, &#x27;1949-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-07-01T00:00:00.000000000&#x27;, &#x27;1949-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-09-01T00:00:00.000000000&#x27;, &#x27;1949-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-11-01T00:00:00.000000000&#x27;, &#x27;1949-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-01-01T00:00:00.000000000&#x27;, &#x27;1950-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-03-01T00:00:00.000000000&#x27;, &#x27;1950-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-05-01T00:00:00.000000000&#x27;, &#x27;1950-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-07-01T00:00:00.000000000&#x27;, &#x27;1950-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-09-01T00:00:00.000000000&#x27;, &#x27;1950-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-11-01T00:00:00.000000000&#x27;, &#x27;1950-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-01-01T00:00:00.000000000&#x27;, &#x27;1951-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-03-01T00:00:00.000000000&#x27;, &#x27;1951-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-05-01T00:00:00.000000000&#x27;, &#x27;1951-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-07-01T00:00:00.000000000&#x27;, &#x27;1951-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-09-01T00:00:00.000000000&#x27;, &#x27;1951-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-11-01T00:00:00.000000000&#x27;, &#x27;1951-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-01-01T00:00:00.000000000&#x27;, &#x27;1952-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-03-01T00:00:00.000000000&#x27;, &#x27;1952-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-05-01T00:00:00.000000000&#x27;, &#x27;1952-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-07-01T00:00:00.000000000&#x27;, &#x27;1952-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-09-01T00:00:00.000000000&#x27;, &#x27;1952-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-11-01T00:00:00.000000000&#x27;, &#x27;1952-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-01-01T00:00:00.000000000&#x27;, &#x27;1953-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-03-01T00:00:00.000000000&#x27;, &#x27;1953-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-05-01T00:00:00.000000000&#x27;, &#x27;1953-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-07-01T00:00:00.000000000&#x27;, &#x27;1953-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-09-01T00:00:00.000000000&#x27;, &#x27;1953-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-11-01T00:00:00.000000000&#x27;, &#x27;1953-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-01-01T00:00:00.000000000&#x27;, &#x27;1954-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-03-01T00:00:00.000000000&#x27;, &#x27;1954-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-05-01T00:00:00.000000000&#x27;, &#x27;1954-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-07-01T00:00:00.000000000&#x27;, &#x27;1954-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-09-01T00:00:00.000000000&#x27;, &#x27;1954-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-11-01T00:00:00.000000000&#x27;, &#x27;1954-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-01-01T00:00:00.000000000&#x27;, &#x27;1955-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-03-01T00:00:00.000000000&#x27;, &#x27;1955-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-05-01T00:00:00.000000000&#x27;, &#x27;1955-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-07-01T00:00:00.000000000&#x27;, &#x27;1955-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-09-01T00:00:00.000000000&#x27;, &#x27;1955-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-11-01T00:00:00.000000000&#x27;, &#x27;1955-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-01-01T00:00:00.000000000&#x27;, &#x27;1956-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-03-01T00:00:00.000000000&#x27;, &#x27;1956-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-05-01T00:00:00.000000000&#x27;, &#x27;1956-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-07-01T00:00:00.000000000&#x27;, &#x27;1956-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-09-01T00:00:00.000000000&#x27;, &#x27;1956-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-11-01T00:00:00.000000000&#x27;, &#x27;1956-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-01-01T00:00:00.000000000&#x27;, &#x27;1957-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-03-01T00:00:00.000000000&#x27;, &#x27;1957-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-05-01T00:00:00.000000000&#x27;, &#x27;1957-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-07-01T00:00:00.000000000&#x27;, &#x27;1957-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-09-01T00:00:00.000000000&#x27;, &#x27;1957-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-11-01T00:00:00.000000000&#x27;, &#x27;1957-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-01-01T00:00:00.000000000&#x27;, &#x27;1958-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-03-01T00:00:00.000000000&#x27;, &#x27;1958-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-05-01T00:00:00.000000000&#x27;, &#x27;1958-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-07-01T00:00:00.000000000&#x27;, &#x27;1958-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-09-01T00:00:00.000000000&#x27;, &#x27;1958-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-11-01T00:00:00.000000000&#x27;, &#x27;1958-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-01-01T00:00:00.000000000&#x27;, &#x27;1959-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-03-01T00:00:00.000000000&#x27;, &#x27;1959-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-05-01T00:00:00.000000000&#x27;, &#x27;1959-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-07-01T00:00:00.000000000&#x27;, &#x27;1959-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-09-01T00:00:00.000000000&#x27;, &#x27;1959-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-11-01T00:00:00.000000000&#x27;, &#x27;1959-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-01-01T00:00:00.000000000&#x27;, &#x27;1960-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-03-01T00:00:00.000000000&#x27;, &#x27;1960-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-05-01T00:00:00.000000000&#x27;, &#x27;1960-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-07-01T00:00:00.000000000&#x27;, &#x27;1960-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-09-01T00:00:00.000000000&#x27;, &#x27;1960-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-11-01T00:00:00.000000000&#x27;, &#x27;1960-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;#Passengers&#x27;</div><input id='attrs-5020a432-8b84-45bd-a3e5-9b184f78accc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5020a432-8b84-45bd-a3e5-9b184f78accc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a7fca78-342c-453e-a769-b6e2fc5a96f1' class='xr-var-data-in' type='checkbox'><label for='data-1a7fca78-342c-453e-a769-b6e2fc5a96f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;#Passengers&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08208d11-0f35-42a4-9455-83d1f3c77289' class='xr-section-summary-in' type='checkbox'  ><label for='section-08208d11-0f35-42a4-9455-83d1f3c77289' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f0f120b-13ec-4eb5-a91e-c245c9ecb386' class='xr-index-data-in' type='checkbox'/><label for='index-0f0f120b-13ec-4eb5-a91e-c245c9ecb386' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1949-01-01&#x27;, &#x27;1949-02-01&#x27;, &#x27;1949-03-01&#x27;, &#x27;1949-04-01&#x27;,\n",
       "               &#x27;1949-05-01&#x27;, &#x27;1949-06-01&#x27;, &#x27;1949-07-01&#x27;, &#x27;1949-08-01&#x27;,\n",
       "               &#x27;1949-09-01&#x27;, &#x27;1949-10-01&#x27;,\n",
       "               ...\n",
       "               &#x27;1960-03-01&#x27;, &#x27;1960-04-01&#x27;, &#x27;1960-05-01&#x27;, &#x27;1960-06-01&#x27;,\n",
       "               &#x27;1960-07-01&#x27;, &#x27;1960-08-01&#x27;, &#x27;1960-09-01&#x27;, &#x27;1960-10-01&#x27;,\n",
       "               &#x27;1960-11-01&#x27;, &#x27;1960-12-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;Month&#x27;, length=144, freq=&#x27;MS&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4b1f5bd2-e513-4480-85ae-00dfa112ec3f' class='xr-index-data-in' type='checkbox'/><label for='index-4b1f5bd2-e513-4480-85ae-00dfa112ec3f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;#Passengers&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0891c71d-c343-45f6-8da8-eb1eb66f7a79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0891c71d-c343-45f6-8da8-eb1eb66f7a79' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>static_covariates :</span></dt><dd>None</dd><dt><span>hierarchy :</span></dt><dd>None</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<TimeSeries (DataArray) (Month: 144, component: 1, sample: 1)>\n",
       "array([[[112.]],\n",
       "\n",
       "       [[118.]],\n",
       "\n",
       "       [[132.]],\n",
       "\n",
       "       [[129.]],\n",
       "\n",
       "       [[121.]],\n",
       "\n",
       "       [[135.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[136.]],\n",
       "\n",
       "       [[119.]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[419.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[472.]],\n",
       "\n",
       "       [[535.]],\n",
       "\n",
       "       [[622.]],\n",
       "\n",
       "       [[606.]],\n",
       "\n",
       "       [[508.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[390.]],\n",
       "\n",
       "       [[432.]]])\n",
       "Coordinates:\n",
       "  * Month      (Month) datetime64[ns] 1949-01-01 1949-02-01 ... 1960-12-01\n",
       "  * component  (component) object '#Passengers'\n",
       "Dimensions without coordinates: sample\n",
       "Attributes:\n",
       "    static_covariates:  None\n",
       "    hierarchy:          None"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "repo_id=\"ivelin/darts-dataset-test\"\n",
    "series_name='AirPassengersDataset'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "hfhub.upload_timeseries(series=ts, series_name='AirPassengersDataset', repo_id=repo_id, private=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a820915b3b5b4b30a495216adc18182a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Fetching 2 files:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AirPassengersDataset.parquet', '.gitattributes']\n"
     ]
    }
   ],
   "source": [
    "ts = hfhub.download_timeseries(repo_id=repo_id, series_name=series_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;TimeSeries (DataArray) (Month: 144, component: 1, sample: 1)&gt;\n",
       "array([[[112.]],\n",
       "\n",
       "       [[118.]],\n",
       "\n",
       "       [[132.]],\n",
       "\n",
       "       [[129.]],\n",
       "\n",
       "       [[121.]],\n",
       "\n",
       "       [[135.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[136.]],\n",
       "\n",
       "       [[119.]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[419.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[472.]],\n",
       "\n",
       "       [[535.]],\n",
       "\n",
       "       [[622.]],\n",
       "\n",
       "       [[606.]],\n",
       "\n",
       "       [[508.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[390.]],\n",
       "\n",
       "       [[432.]]])\n",
       "Coordinates:\n",
       "  * Month      (Month) datetime64[ns] 1949-01-01 1949-02-01 ... 1960-12-01\n",
       "  * component  (component) object &#x27;#Passengers&#x27;\n",
       "Dimensions without coordinates: sample\n",
       "Attributes:\n",
       "    static_covariates:  None\n",
       "    hierarchy:          None</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>TimeSeries (DataArray)</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>Month</span>: 144</li><li><span class='xr-has-index'>component</span>: 1</li><li><span>sample</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d681af1f-1960-4fb1-900e-873c66008f54' class='xr-array-in' type='checkbox' checked><label for='section-d681af1f-1960-4fb1-900e-873c66008f54' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>112.0 118.0 132.0 129.0 121.0 135.0 ... 606.0 508.0 461.0 390.0 432.0</span></div><div class='xr-array-data'><pre>array([[[112.]],\n",
       "\n",
       "       [[118.]],\n",
       "\n",
       "       [[132.]],\n",
       "\n",
       "       [[129.]],\n",
       "\n",
       "       [[121.]],\n",
       "\n",
       "       [[135.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[136.]],\n",
       "\n",
       "       [[119.]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[419.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[472.]],\n",
       "\n",
       "       [[535.]],\n",
       "\n",
       "       [[622.]],\n",
       "\n",
       "       [[606.]],\n",
       "\n",
       "       [[508.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[390.]],\n",
       "\n",
       "       [[432.]]])</pre></div></div></li><li class='xr-section-item'><input id='section-905723f8-62a0-48fc-a006-94f48f2c5a2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-905723f8-62a0-48fc-a006-94f48f2c5a2d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Month</span></div><div class='xr-var-dims'>(Month)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1949-01-01 ... 1960-12-01</div><input id='attrs-9e116311-b1b7-461a-991d-0c6cb12ee862' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e116311-b1b7-461a-991d-0c6cb12ee862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58456c50-5f6b-4a3b-a1ce-c640ad2a5575' class='xr-var-data-in' type='checkbox'><label for='data-58456c50-5f6b-4a3b-a1ce-c640ad2a5575' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1949-01-01T00:00:00.000000000&#x27;, &#x27;1949-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-03-01T00:00:00.000000000&#x27;, &#x27;1949-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-05-01T00:00:00.000000000&#x27;, &#x27;1949-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-07-01T00:00:00.000000000&#x27;, &#x27;1949-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-09-01T00:00:00.000000000&#x27;, &#x27;1949-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1949-11-01T00:00:00.000000000&#x27;, &#x27;1949-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-01-01T00:00:00.000000000&#x27;, &#x27;1950-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-03-01T00:00:00.000000000&#x27;, &#x27;1950-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-05-01T00:00:00.000000000&#x27;, &#x27;1950-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-07-01T00:00:00.000000000&#x27;, &#x27;1950-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-09-01T00:00:00.000000000&#x27;, &#x27;1950-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-11-01T00:00:00.000000000&#x27;, &#x27;1950-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-01-01T00:00:00.000000000&#x27;, &#x27;1951-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-03-01T00:00:00.000000000&#x27;, &#x27;1951-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-05-01T00:00:00.000000000&#x27;, &#x27;1951-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-07-01T00:00:00.000000000&#x27;, &#x27;1951-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-09-01T00:00:00.000000000&#x27;, &#x27;1951-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1951-11-01T00:00:00.000000000&#x27;, &#x27;1951-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-01-01T00:00:00.000000000&#x27;, &#x27;1952-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-03-01T00:00:00.000000000&#x27;, &#x27;1952-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-05-01T00:00:00.000000000&#x27;, &#x27;1952-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-07-01T00:00:00.000000000&#x27;, &#x27;1952-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-09-01T00:00:00.000000000&#x27;, &#x27;1952-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1952-11-01T00:00:00.000000000&#x27;, &#x27;1952-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-01-01T00:00:00.000000000&#x27;, &#x27;1953-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-03-01T00:00:00.000000000&#x27;, &#x27;1953-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-05-01T00:00:00.000000000&#x27;, &#x27;1953-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-07-01T00:00:00.000000000&#x27;, &#x27;1953-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-09-01T00:00:00.000000000&#x27;, &#x27;1953-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1953-11-01T00:00:00.000000000&#x27;, &#x27;1953-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-01-01T00:00:00.000000000&#x27;, &#x27;1954-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-03-01T00:00:00.000000000&#x27;, &#x27;1954-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-05-01T00:00:00.000000000&#x27;, &#x27;1954-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-07-01T00:00:00.000000000&#x27;, &#x27;1954-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-09-01T00:00:00.000000000&#x27;, &#x27;1954-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1954-11-01T00:00:00.000000000&#x27;, &#x27;1954-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-01-01T00:00:00.000000000&#x27;, &#x27;1955-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-03-01T00:00:00.000000000&#x27;, &#x27;1955-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-05-01T00:00:00.000000000&#x27;, &#x27;1955-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-07-01T00:00:00.000000000&#x27;, &#x27;1955-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-09-01T00:00:00.000000000&#x27;, &#x27;1955-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1955-11-01T00:00:00.000000000&#x27;, &#x27;1955-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-01-01T00:00:00.000000000&#x27;, &#x27;1956-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-03-01T00:00:00.000000000&#x27;, &#x27;1956-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-05-01T00:00:00.000000000&#x27;, &#x27;1956-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-07-01T00:00:00.000000000&#x27;, &#x27;1956-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-09-01T00:00:00.000000000&#x27;, &#x27;1956-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1956-11-01T00:00:00.000000000&#x27;, &#x27;1956-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-01-01T00:00:00.000000000&#x27;, &#x27;1957-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-03-01T00:00:00.000000000&#x27;, &#x27;1957-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-05-01T00:00:00.000000000&#x27;, &#x27;1957-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-07-01T00:00:00.000000000&#x27;, &#x27;1957-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-09-01T00:00:00.000000000&#x27;, &#x27;1957-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1957-11-01T00:00:00.000000000&#x27;, &#x27;1957-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-01-01T00:00:00.000000000&#x27;, &#x27;1958-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-03-01T00:00:00.000000000&#x27;, &#x27;1958-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-05-01T00:00:00.000000000&#x27;, &#x27;1958-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-07-01T00:00:00.000000000&#x27;, &#x27;1958-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-09-01T00:00:00.000000000&#x27;, &#x27;1958-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1958-11-01T00:00:00.000000000&#x27;, &#x27;1958-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-01-01T00:00:00.000000000&#x27;, &#x27;1959-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-03-01T00:00:00.000000000&#x27;, &#x27;1959-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-05-01T00:00:00.000000000&#x27;, &#x27;1959-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-07-01T00:00:00.000000000&#x27;, &#x27;1959-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-09-01T00:00:00.000000000&#x27;, &#x27;1959-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1959-11-01T00:00:00.000000000&#x27;, &#x27;1959-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-01-01T00:00:00.000000000&#x27;, &#x27;1960-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-03-01T00:00:00.000000000&#x27;, &#x27;1960-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-05-01T00:00:00.000000000&#x27;, &#x27;1960-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-07-01T00:00:00.000000000&#x27;, &#x27;1960-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-09-01T00:00:00.000000000&#x27;, &#x27;1960-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1960-11-01T00:00:00.000000000&#x27;, &#x27;1960-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;#Passengers&#x27;</div><input id='attrs-3a952797-e741-489e-bc43-1574b37b213a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a952797-e741-489e-bc43-1574b37b213a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e4a411-8ff4-43c4-8430-a1074ef31a03' class='xr-var-data-in' type='checkbox'><label for='data-32e4a411-8ff4-43c4-8430-a1074ef31a03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;#Passengers&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d95d704-3e10-4004-a075-cb6184e7a336' class='xr-section-summary-in' type='checkbox'  ><label for='section-3d95d704-3e10-4004-a075-cb6184e7a336' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-241d61ad-642a-4fe0-8db2-9c27e077f55a' class='xr-index-data-in' type='checkbox'/><label for='index-241d61ad-642a-4fe0-8db2-9c27e077f55a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1949-01-01&#x27;, &#x27;1949-02-01&#x27;, &#x27;1949-03-01&#x27;, &#x27;1949-04-01&#x27;,\n",
       "               &#x27;1949-05-01&#x27;, &#x27;1949-06-01&#x27;, &#x27;1949-07-01&#x27;, &#x27;1949-08-01&#x27;,\n",
       "               &#x27;1949-09-01&#x27;, &#x27;1949-10-01&#x27;,\n",
       "               ...\n",
       "               &#x27;1960-03-01&#x27;, &#x27;1960-04-01&#x27;, &#x27;1960-05-01&#x27;, &#x27;1960-06-01&#x27;,\n",
       "               &#x27;1960-07-01&#x27;, &#x27;1960-08-01&#x27;, &#x27;1960-09-01&#x27;, &#x27;1960-10-01&#x27;,\n",
       "               &#x27;1960-11-01&#x27;, &#x27;1960-12-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;Month&#x27;, length=144, freq=&#x27;MS&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3f6183d2-d098-49f4-91bb-1b33311a0602' class='xr-index-data-in' type='checkbox'/><label for='index-3f6183d2-d098-49f4-91bb-1b33311a0602' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;#Passengers&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0382f2d1-1dec-4af8-94b2-4ccb33f13725' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0382f2d1-1dec-4af8-94b2-4ccb33f13725' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>static_covariates :</span></dt><dd>None</dd><dt><span>hierarchy :</span></dt><dd>None</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<TimeSeries (DataArray) (Month: 144, component: 1, sample: 1)>\n",
       "array([[[112.]],\n",
       "\n",
       "       [[118.]],\n",
       "\n",
       "       [[132.]],\n",
       "\n",
       "       [[129.]],\n",
       "\n",
       "       [[121.]],\n",
       "\n",
       "       [[135.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[148.]],\n",
       "\n",
       "       [[136.]],\n",
       "\n",
       "       [[119.]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[419.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[472.]],\n",
       "\n",
       "       [[535.]],\n",
       "\n",
       "       [[622.]],\n",
       "\n",
       "       [[606.]],\n",
       "\n",
       "       [[508.]],\n",
       "\n",
       "       [[461.]],\n",
       "\n",
       "       [[390.]],\n",
       "\n",
       "       [[432.]]])\n",
       "Coordinates:\n",
       "  * Month      (Month) datetime64[ns] 1949-01-01 1949-02-01 ... 1960-12-01\n",
       "  * component  (component) object '#Passengers'\n",
       "Dimensions without coordinates: sample\n",
       "Attributes:\n",
       "    static_covariates:  None\n",
       "    hierarchy:          None"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts"
   ]
  }
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