Base

get_data.ipynb

@@ -0,0 +1,89 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def clean_directory(label):\n",
+    "    import os\n",
+    "    assert label.split(\"/\")[0] == \"resources\" and \"..\" not in label\n",
+    "    \n",
+    "    try:\n",
+    "        os.makedirs(label, exist_ok=False)\n",
+    "    except FileExistsError as e:\n",
+    "         print(\"Directory with path, {} already exists,\".format(label))\n",
+    "    except Exception as e:\n",
+    "        raise Exception"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_mnist():\n",
+    "    \n",
+    "    from torchvision.datasets import MNIST\n",
+    "    MNIST(\"resources/data/raw\", download=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Directory with path, resources/data/raw already exists,\n"
+     ]
+    }
+   ],
+   "source": [
+    "clean_directory(\"resources/data/raw\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}