tuple.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-05-13T18:36:59.324704Z",
     "iopub.status.busy": "2020-05-13T18:36:59.324421Z",
     "iopub.status.idle": "2020-05-13T18:36:59.373440Z",
     "shell.execute_reply": "2020-05-13T18:36:59.372779Z",
     "shell.execute_reply.started": "2020-05-13T18:36:59.324676Z"
    }
   },
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-05-13T18:37:21.420118Z",
     "iopub.status.busy": "2020-05-13T18:37:21.419838Z",
     "iopub.status.idle": "2020-05-13T18:37:21.434117Z",
     "shell.execute_reply": "2020-05-13T18:37:21.433489Z",
     "shell.execute_reply.started": "2020-05-13T18:37:21.420094Z"
    }
   },
   "outputs": [],
   "source": [
    "from typing import Tuple as TTuple\n",
    "x: TTuple[int, int] = (2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-05-13T18:37:02.468479Z",
     "iopub.status.busy": "2020-05-13T18:37:02.468220Z",
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     "shell.execute_reply.started": "2020-05-13T18:37:02.468453Z"
    }
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'type' object is not subscriptable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-06343fc4e594>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mfastcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'type' object is not subscriptable"
     ]
    }
   ],
   "source": [
    "from fastcore.utils import Tuple\n",
    "\n",
    "x: Tuple[int, int] = (2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-05-13T18:37:03.753635Z",
     "iopub.status.busy": "2020-05-13T18:37:03.753363Z",
     "iopub.status.idle": "2020-05-13T18:37:03.880605Z",
     "shell.execute_reply": "2020-05-13T18:37:03.879893Z",
     "shell.execute_reply.started": "2020-05-13T18:37:03.753608Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/venky/fastcore/fastcore/utils.py'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mfa39696\u001b[35m N \u001b[34m 2 weeks ago \u001b[32mSylva..\u001b[mRelease\u001b[31m HEAD -> master, origin/master, origin/HEAD"
     ]
    }
   ],
   "source": [
    "import inspect\n",
    "inspect.getsourcefile(Tuple)\n",
    "! cd /home/venky/fastcore && git log -1"
   ]
  },
  {
   "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",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.1"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}