Examples.ipynb

{
 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
   "id": "93a1c172",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (d8error.py, line 104)",
     "output_type": "error",
     "traceback": [
      "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
      "  File \u001b[0;32m\"C:\\Users\\enlig\\miniconda3\\envs\\otter-grader\\lib\\site-packages\\IPython\\core\\interactiveshell.py\"\u001b[0m, line \u001b[0;32m3343\u001b[0m, in \u001b[0;35mrun_code\u001b[0m\n    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-1-362f5b1c42a4>\"\u001b[1;36m, line \u001b[1;32m4\u001b[1;36m, in \u001b[1;35m<module>\u001b[1;36m\u001b[0m\n\u001b[1;33m    import d8error\u001b[0m\n",
      "\u001b[1;36m  File \u001b[1;32m\"c:\\Users\\enlig\\Downloads\\bp-exceptionfeedback\\d8error.py\"\u001b[1;36m, line \u001b[1;32m104\u001b[0m\n\u001b[1;33m    display(Markdown(\"##\" + self.errorname + \"## \" + \"line \" self.lineNo))\u001b[0m\n\u001b[1;37m                                                                ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "from IPython.core.display import display, HTML, Markdown\n",
    "import numpy as np\n",
    "import json\n",
    "import d8error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fd33e94",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1b2fd80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "     \"AttributeError\": [\n",
      "          {\n",
      "               \"module\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Misspelling a method, ie: `np.arenge` instead of `np.arange`\",\n",
      "                         \"Using a method that uses a different name, i.e `np.total` instead of `np.sum`\"\n",
      "                    ]\n",
      "               }\n",
      "          },\n",
      "          {\n",
      "               \"object has no attribute\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Trying to get an attribute that doesn't exist, or misspelled, i.e \\n ` a = Table().with_columns(\\\"Column 1\\\", data)` then calling `a.num_row` instead of `a.num_rows` \"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ],\n",
      "     \"IndexError\": [\n",
      "          {\n",
      "               \"out of range\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Trying to index with a value larger than the size of the array. Double check that the length of the array and make sure you aren't using a number larger than that. Also don't forget python is 0-index\"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ],\n",
      "     \"NameError\": [\n",
      "          {\n",
      "               \"defined\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Misspelling a variable, function, or method name \",\n",
      "                         \"Not importing required libraries, i.e not running the cell with `import numpy as np`\",\n",
      "                         \"Kernel died. You might need to re-run cells to redefine variables\"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ],\n",
      "     \"SyntaxError\": [\n",
      "          {\n",
      "               \"EOF\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Having the wrong number of parenthesis or brackets\",\n",
      "                         \"Not using a colon in define statements or for loops\"\n",
      "                    ]\n",
      "               }\n",
      "          },\n",
      "          {\n",
      "               \"invalid syntax\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Adding extra parenthesis\",\n",
      "                         \"Not following python define or for loop structure, not adding a colon\"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ],\n",
      "     \"TypeError\": [\n",
      "          {\n",
      "               \"unsupported operand\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Using the wrong type of input, i.e `np.arange(\\\"3\\\")`\"\n",
      "                    ]\n",
      "               }\n",
      "          },\n",
      "          {\n",
      "               \"not callable\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Using a variable or object that isn't a function but using it as one, i.e `3(2)`, in this case we are using 3 as a function, if you wanted to multiply you need `3*(2)`\",\n",
      "                         \"Using `tbl.columns` instead of `tbl.column`\"\n",
      "                    ]\n",
      "               }\n",
      "          },\n",
      "          {\n",
      "               \"positional arguments\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Using a function that takes in a different number of arguments than provided\"\n",
      "                    ]\n",
      "               }\n",
      "          },\n",
      "          {\n",
      "               \"not supported between\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Using two different incompatible object types in an operation like comparison, `3 == [3,3]`. Notice here we want to use a list and number, but this kind of operation isn't allowed, one needs to convert to array with `make_array` or review the problem specifications\"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ],\n",
      "     \"ValueError\": [\n",
      "          {\n",
      "               \"invalid\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Converting something that cannot be converted, i.e `int(\\\"HELLO WORLD!!\\\")`\"\n",
      "                    ]\n",
      "               }\n",
      "          },\n",
      "          {\n",
      "               \"not in the table\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Misspelling a column label, or using a column name that isn't in the table\"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ],\n",
      "     \"ZeroDivisionError\": [\n",
      "          {\n",
      "               \"division by zero\": {\n",
      "                    \"helptext\": [\n",
      "                         \"Using the division symbol '/' where the denominator is 0 or a variable set to 0.\"\n",
      "                    ]\n",
      "               }\n",
      "          }\n",
      "     ]\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "with open(\"errorConfig.json\", \"r\") as f:\n",
    "    diction = json.load(f)\n",
    "print(json.dumps(diction, sort_keys=True, indent=5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ff9d35b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:1: SyntaxWarning: 'int' object is not callable; perhaps you missed a comma?\n",
      "<>:1: SyntaxWarning: 'int' object is not callable; perhaps you missed a comma?\n",
      "<ipython-input-4-9b43eec38a3d>:1: SyntaxWarning: 'int' object is not callable; perhaps you missed a comma?\n",
      "  3(2)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "##TypeError## line "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output(layout=Layout(border='1px solid grey', height='85px', overflow_y='auto'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a TypeError. TypeErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Using a variable or object that isn't a function but using it as one, i.e `3(2)`, in this case we are using 3 as a function, if you wanted to multiply you need `3*(2)`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "2. Using `tbl.columns` instead of `tbl.column`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
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     "output_type": "display_data"
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      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "TypeError",
     "evalue": "'int' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-9b43eec38a3d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;36m3\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: 'int' object is not callable"
     ]
    }
   ],
   "source": [
    "3(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "411fe3a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "##AttributeError## line "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "88a0a4adfb734a9e91cbeb8a8944f5eb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output(layout=Layout(border='1px solid grey', height='85px', overflow_y='auto'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a AttributeError. AttributeErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Trying to get an attribute that doesn't exist, or misspelled, i.e \n",
       " ` a = Table().with_columns(\"Column 1\", data)` then calling `a.num_row` instead of `a.num_rows` "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "99e094fa9b35457f90cbae930a80b1c6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d9c5efc6851e41f6a600b9ffb45fcaf6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'hello'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-f56079d121c5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhello\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'hello'"
     ]
    }
   ],
   "source": [
    "a = None\n",
    "a.hello"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6424d568",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "##NameError## line "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c770237b0c8a476ab082dbaef4624dc0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output(layout=Layout(border='1px solid grey', height='85px', overflow_y='auto'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a NameError. NameErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Misspelling a variable, function, or method name "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "2. Not importing required libraries, i.e not running the cell with `import numpy as np`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "3. Kernel died. You might need to re-run cells to redefine variables"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2a3db3338f394c48a796235917aa907d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e2152b387004495eac53a3cc7f210c6e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "NameError",
     "evalue": "name 'data8' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-3551c3566c86>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0mdata8\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'data8' is not defined"
     ]
    }
   ],
   "source": [
    "print()\n",
    "\n",
    "print()\n",
    "\n",
    "print()\n",
    "\n",
    "print()\n",
    "\n",
    "print()\n",
    "\n",
    "print()\n",
    "\n",
    "print()\n",
    "\n",
    "data8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51b79672",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-3-2dcb73fb32de>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-3-2dcb73fb32de>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    2a\u001b[0m\n\u001b[1;37m     ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "2a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "068041db",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'numpy' has no attribute 'aragne'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-2025b6fce261>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maragne\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'HI'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: module 'numpy' has no attribute 'aragne'"
     ]
    }
   ],
   "source": [
    "np.aragne('HI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03bf6e2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a SyntaxError. SyntaxErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Adding extra parenthesis"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "2. Not following python define or for loop structure, not adding a colon"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-7-2dcb73fb32de>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-2dcb73fb32de>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    2a\u001b[0m\n\u001b[0m     ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "2a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05320747",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a AttributeError. AttributeErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Misspelling a method, ie: `np.arenge` instead of `np.arange`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "2. Using a method that uses a different name, i.e `np.total` instead of `np.sum`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "module 'numpy' has no attribute 'aragne'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-2025b6fce261>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maragne\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'HI'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.8/site-packages/numpy/__init__.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(attr)\u001b[0m\n\u001b[1;32m    217\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mTester\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    218\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 219\u001b[0;31m                 raise AttributeError(\"module {!r} has no attribute \"\n\u001b[0m\u001b[1;32m    220\u001b[0m                                      \"{!r}\".format(__name__, attr))\n\u001b[1;32m    221\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'numpy' has no attribute 'aragne'"
     ]
    }
   ],
   "source": [
    "np.aragne('HI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f9e7d54b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a IndexError. IndexErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.hi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "184a881c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-31539d434322>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "[2][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6bcd7e86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a AttributeError. AttributeErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Misspelling a method, ie: `np.arenge` instead of `np.arange`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "2. Using a method that uses a different name, i.e `np.total` instead of `np.sum`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "module 'numpy' has no attribute 'hi'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-f93639f3c5fa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.8/site-packages/numpy/__init__.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(attr)\u001b[0m\n\u001b[1;32m    217\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mTester\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    218\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 219\u001b[0;31m                 raise AttributeError(\"module {!r} has no attribute \"\n\u001b[0m\u001b[1;32m    220\u001b[0m                                      \"{!r}\".format(__name__, attr))\n\u001b[1;32m    221\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'numpy' has no attribute 'hi'"
     ]
    }
   ],
   "source": [
    "np.hi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dcd07c18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a NameError. NameErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Misspelling a variable, function, or method name "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "2. Not importing required libraries, i.e not running the cell with `import numpy as np`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "3. Kernel died. You might need to re-run cells to redefine variables"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "NameError",
     "evalue": "name 'Table' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-ba1f5d95e342>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mTable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'Table' is not defined"
     ]
    }
   ],
   "source": [
    "Table()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "910c2b35",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a ValueError. ValueErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Converting something that cannot be converted, i.e `int(\"HELLO WORLD!!\")`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: 'HI'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-12-8921a589912c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"HI\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'HI'"
     ]
    }
   ],
   "source": [
    "int(\"HI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c7a1a8ab",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a ZeroDivisionError. ZeroDivisionErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Using the division symbol '/' where the denominator is 0 or a variable set to 0."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def f():\n",
    "    3 / 0\n",
    "    return\n",
    "f()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31b91a0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "ZeroDivisionError",
     "evalue": "division by zero",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-13-84a61c95b62f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;36m3\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-13-84a61c95b62f>\u001b[0m in \u001b[0;36mf\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0;36m3\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
     ]
    }
   ],
   "source": [
    "def f():\n",
    "    3 / 0\n",
    "    return\n",
    "f()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3522fe1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## **Uh-o it seems we have an error!**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "It seems we have a ZeroDivisionError. ZeroDivisionErrors are usually because of:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "1. Using the division symbol '/' where the denominator is 0 or a variable set to 0."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Data 8 Reference might be helpful to look over for examples and usage: [Data 8 Reference](http://data8.org/fa21/python-reference.html)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "If you are having more trouble please feel free to consult a staff member at [Office Hours](https://oh.data8.org)                        \n",
       " or see the error message below "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Please fill out this quick survey to help us improve the the error feedback [Data 8 Error Feedback Survey](https://forms.gle/6UZQjwZmAxVDMsBR6)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "ZeroDivisionError",
     "evalue": "division by zero",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-14-c43e34e6d405>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-13-84a61c95b62f>\u001b[0m in \u001b[0;36mf\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0;36m3\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
     ]
    }
   ],
   "source": [
    "f()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c92914bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "arr = np.zeros(6)\n",
    "np.ones(6) / arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a3ce0ca",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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