From 1471ed92307081d9ead4de4838ee942d215faa11 Mon Sep 17 00:00:00 2001
From: Worldsoldure00 <ibrahim.iftaquar@gmail.com>
Date: Mon, 6 Apr 2026 21:48:08 -0400
Subject: [PATCH] fixes: tsfresh_example.ipynb

---
 tutorials/tsfresh/requirements.txt      |  2 +-
 tutorials/tsfresh/tsfresh_example.ipynb | 59 +++++++++++++++----------
 2 files changed, 37 insertions(+), 24 deletions(-)

diff --git a/tutorials/tsfresh/requirements.txt b/tutorials/tsfresh/requirements.txt
index 2fcd641d6..02840511b 100644
--- a/tutorials/tsfresh/requirements.txt
+++ b/tutorials/tsfresh/requirements.txt
@@ -7,7 +7,7 @@ ipykernel==6.29.5
 numpy==1.26.4
 pandas==2.2.3
 matplotlib==3.9.4
-scipy==1.13.1
+scipy>=1.14.0
 
 # tsfresh.
 tsfresh==0.20.3
diff --git a/tutorials/tsfresh/tsfresh_example.ipynb b/tutorials/tsfresh/tsfresh_example.ipynb
index 7122ae685..e61fcc221 100644
--- a/tutorials/tsfresh/tsfresh_example.ipynb
+++ b/tutorials/tsfresh/tsfresh_example.ipynb
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "3aa7ce61",
    "metadata": {
     "id": "3aa7ce61",
@@ -92,53 +92,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "17e69980",
    "metadata": {
     "id": "17e69980",
     "lines_to_next_cell": 2
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset ready at: uci_har_data/UCI HAR Dataset\n"
+     ]
+    }
+   ],
    "source": [
-    "import pathlib.Path as path\n",
+    "from pathlib import Path\n",
     "import zipfile\n",
-    "\n",
     "import numpy as np\n",
     "import requests\n",
-    "import tqdm.tqdm as tq_vis\n",
+    "from tqdm import tqdm\n",
     "\n",
     "np.random.seed(42)\n",
     "\n",
     "DATA_URL = \"https://archive.ics.uci.edu/ml/machine-learning-databases/00240/UCI%20HAR%20Dataset.zip\"\n",
-    "DATA_DIR = path(\"./uci_har_data\")\n",
-    "\n",
-    "\n",
-    "# ## 2) Download the UCI HAR dataset\n",
-    "#\n",
-    "# If the dataset hasn't been downloaded, this function will download it.\n",
-    "\n",
+    "DATA_DIR = Path(\"./uci_har_data\")  # ✅ corrected here\n",
     "\n",
     "def fetch_data(url=DATA_URL, out_dir=DATA_DIR):\n",
     "    out_dir.mkdir(parents=True, exist_ok=True)\n",
     "    zip_path = out_dir / \"UCI_HAR_Dataset.zip\"\n",
+    "\n",
     "    if not zip_path.exists():\n",
     "        resp = requests.get(url, stream=True, timeout=20)\n",
     "        resp.raise_for_status()\n",
     "        total = int(resp.headers.get(\"content-length\", 0))\n",
-    "        with (\n",
-    "            open(zip_path, \"wb\") as f,\n",
-    "            tq_vis(total=total, unit=\"B\", unit_scale=True) as pbar,\n",
-    "        ):\n",
+    "        with open(zip_path, \"wb\") as f, tqdm(total=total, unit=\"B\", unit_scale=True, desc=\"Downloading\") as pbar:\n",
     "            for chunk in resp.iter_content(chunk_size=8192):\n",
     "                if chunk:\n",
     "                    f.write(chunk)\n",
     "                    pbar.update(len(chunk))\n",
-    "    with zipfile.ZipFile(zip_path, \"r\") as zf:\n",
-    "        zf.extractall(out_dir)\n",
-    "    return out_dir / \"UCI HAR Dataset\"\n",
     "\n",
+    "    extract_path = out_dir / \"UCI HAR Dataset\"\n",
+    "    if not extract_path.exists():\n",
+    "        with zipfile.ZipFile(zip_path, \"r\") as zf:\n",
+    "            zf.extractall(out_dir)\n",
     "\n",
-    "har_root = fetch_data()"
+    "    return extract_path\n",
+    "\n",
+    "har_root = fetch_data()\n",
+    "print(f\"Dataset ready at: {har_root}\")"
    ]
   },
   {
@@ -435,11 +438,21 @@
    "main_language": "python"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.13"
   }
  },
  "nbformat": 4,