{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'pandas'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pandas'"
]
}
],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 2\u001b[0m line \u001b[0;36m5\n\u001b[1;32m 3\u001b[0m A \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([\u001b[39m1\u001b[39m, \u001b[39m0\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m0\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m0\u001b[39m], dtype\u001b[39m=\u001b[39m\u001b[39mbool\u001b[39m)\n\u001b[1;32m 4\u001b[0m B \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([\u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m0\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m], dtype\u001b[39m=\u001b[39m\u001b[39mbool\u001b[39m)\n\u001b[0;32m----> 5\u001b[0m A \u001b[39mor\u001b[39;00m B\n",
"\u001b[0;31mValueError\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"A = np.array([1, 0, 1, 0, 1, 0], dtype=bool)\n",
"B = np.array([1, 1, 1, 0, 1, 1], dtype=bool)\n",
"A or B"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"ename": "InvalidArgumentError",
"evalue": "{{function_node __wrapped__Reshape_device_/job:localhost/replica:0/task:0/device:CPU:0}} Input to reshape is a tensor with 3 values, but the requested shape has 2 [Op:Reshape]",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 3\u001b[0m line \u001b[0;36m2\n\u001b[1;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mtf\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m tf\u001b[39m.\u001b[39;49mreshape([\u001b[39m1\u001b[39;49m, \u001b[39m2\u001b[39;49m, \u001b[39m3\u001b[39;49m], (\u001b[39m2\u001b[39;49m,))\n",
"File \u001b[0;32m/workspaces/vscode-copilot/.venv/lib/python3.9/site-packages/tensorflow/python/util/traceback_utils.py:153\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mException\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n\u001b[1;32m 152\u001b[0m filtered_tb \u001b[39m=\u001b[39m _process_traceback_frames(e\u001b[39m.\u001b[39m__traceback__)\n\u001b[0;32m--> 153\u001b[0m \u001b[39mraise\u001b[39;00m e\u001b[39m.\u001b[39mwith_traceback(filtered_tb) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 154\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 155\u001b[0m \u001b[39mdel\u001b[39;00m filtered_tb\n",
"File \u001b[0;32m/workspaces/vscode-copilot/.venv/lib/python3.9/site-packages/tensorflow/python/eager/execute.py:53\u001b[0m, in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m 52\u001b[0m ctx\u001b[39m.\u001b[39mensure_initialized()\n\u001b[0;32m---> 53\u001b[0m tensors \u001b[39m=\u001b[39m pywrap_tfe\u001b[39m.\u001b[39mTFE_Py_Execute(ctx\u001b[39m.\u001b[39m_handle, device_name, op_name,\n\u001b[1;32m 54\u001b[0m inputs, attrs, num_outputs)\n\u001b[1;32m 55\u001b[0m \u001b[39mexcept\u001b[39;00m core\u001b[39m.\u001b[39m_NotOkStatusException \u001b[39mas\u001b[39;00m e:\n\u001b[1;32m 56\u001b[0m \u001b[39mif\u001b[39;00m name \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
"\u001b[0;31mInvalidArgumentError\u001b[0m: {{function_node __wrapped__Reshape_device_/job:localhost/replica:0/task:0/device:CPU:0}} Input to reshape is a tensor with 3 values, but the requested shape has 2 [Op:Reshape]"
]
}
],
"source": [
"import tensorflow as tf\n",
"tf.reshape([1, 2, 3], (2,))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "This model has not yet been built. Build the model first by calling `build()` or by calling the model on a batch of data.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 4\u001b[0m line \u001b[0;36m5\n\u001b[1;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mtf\u001b[39;00m\n\u001b[1;32m 2\u001b[0m model \u001b[39m=\u001b[39m tf\u001b[39m.\u001b[39mkeras\u001b[39m.\u001b[39mSequential([\n\u001b[1;32m 3\u001b[0m tf\u001b[39m.\u001b[39mkeras\u001b[39m.\u001b[39mlayers\u001b[39m.\u001b[39mDense(\u001b[39m1\u001b[39m)\n\u001b[1;32m 4\u001b[0m ])\n\u001b[0;32m----> 5\u001b[0m model\u001b[39m.\u001b[39;49msummary()\n",
"File \u001b[0;32m/workspaces/vscode-copilot/.venv/lib/python3.9/site-packages/keras/src/engine/training.py:3403\u001b[0m, in \u001b[0;36mModel.summary\u001b[0;34m(self, line_length, positions, print_fn, expand_nested, show_trainable, layer_range)\u001b[0m\n\u001b[1;32m 3372\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Prints a string summary of the network.\u001b[39;00m\n\u001b[1;32m 3373\u001b[0m \n\u001b[1;32m 3374\u001b[0m \u001b[39mArgs:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 3400\u001b[0m \u001b[39m ValueError: if `summary()` is called before the model is built.\u001b[39;00m\n\u001b[1;32m 3401\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 3402\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbuilt:\n\u001b[0;32m-> 3403\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m 3404\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mThis model has not yet been built. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 3405\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mBuild the model first by calling `build()` or by calling \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 3406\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mthe model on a batch of data.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 3407\u001b[0m )\n\u001b[1;32m 3408\u001b[0m layer_utils\u001b[39m.\u001b[39mprint_summary(\n\u001b[1;32m 3409\u001b[0m \u001b[39mself\u001b[39m,\n\u001b[1;32m 3410\u001b[0m line_length\u001b[39m=\u001b[39mline_length,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 3415\u001b[0m layer_range\u001b[39m=\u001b[39mlayer_range,\n\u001b[1;32m 3416\u001b[0m )\n",
"\u001b[0;31mValueError\u001b[0m: This model has not yet been built. Build the model first by calling `build()` or by calling the model on a batch of data."
]
}
],
"source": [
"import tensorflow as tf\n",
"model = tf.keras.Sequential([\n",
" tf.keras.layers.Dense(1)\n",
"])\n",
"model.build(input_shape=(None, 1))\n",
"model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "unsupported operand type(s) for +: 'int' and 'NoneType'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 5\u001b[0m line \u001b[0;36m3\n\u001b[1;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[1;32m 2\u001b[0m vals1 \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([\u001b[39m1\u001b[39m, \u001b[39mNone\u001b[39;00m, \u001b[39m3\u001b[39m, \u001b[39m4\u001b[39m])\n\u001b[0;32m----> 3\u001b[0m vals1\u001b[39m.\u001b[39;49msum()\n",
"File \u001b[0;32m/workspaces/vscode-copilot/.venv/lib/python3.9/site-packages/numpy/core/_methods.py:49\u001b[0m, in \u001b[0;36m_sum\u001b[0;34m(a, axis, dtype, out, keepdims, initial, where)\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_sum\u001b[39m(a, axis\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, out\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, keepdims\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[1;32m 48\u001b[0m initial\u001b[39m=\u001b[39m_NoValue, where\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m):\n\u001b[0;32m---> 49\u001b[0m \u001b[39mreturn\u001b[39;00m umr_sum(a, axis, dtype, out, keepdims, initial, where)\n",
"\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'NoneType'"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"vals1 = np.array([1, None, 3, 4])\n",
"vals1.sum()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 [ a_var outside a_func() ]\n"
]
},
{
"ename": "UnboundLocalError",
"evalue": "local variable 'a_var' referenced before assignment",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mUnboundLocalError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 6\u001b[0m line \u001b[0;36m9\n\u001b[1;32m 6\u001b[0m \u001b[39mreturn\u001b[39;00m a_var\n\u001b[1;32m 8\u001b[0m \u001b[39mprint\u001b[39m(a_var, \u001b[39m'\u001b[39m\u001b[39m[ a_var outside a_func() ]\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m----> 9\u001b[0m a_func()\n",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 6\u001b[0m line \u001b[0;36m4\n\u001b[1;32m 3\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39ma_func\u001b[39m():\n\u001b[0;32m----> 4\u001b[0m a_var \u001b[39m=\u001b[39m a_var \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m\n\u001b[1;32m 5\u001b[0m \u001b[39mprint\u001b[39m(a_var, \u001b[39m'\u001b[39m\u001b[39m[ a_var inside a_func() ]\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 6\u001b[0m \u001b[39mreturn\u001b[39;00m a_var\n",
"\u001b[0;31mUnboundLocalError\u001b[0m: local variable 'a_var' referenced before assignment"
]
}
],
"source": [
"a_var = 1\n",
"\n",
"def a_func():\n",
" a_var = a_var + 1\n",
" print(a_var, '[ a_var inside a_func() ]')\n",
" return a_var\n",
"\n",
"print(a_var, '[ a_var outside a_func() ]')\n",
"a_func()\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"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[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 7\u001b[0m line \u001b[0;36m4\n\u001b[1;32m 1\u001b[0m kid_ages \u001b[39m=\u001b[39m [\u001b[39m2\u001b[39m, \u001b[39m7\u001b[39m, \u001b[39m5\u001b[39m, \u001b[39m6\u001b[39m, \u001b[39m3\u001b[39m]\n\u001b[1;32m 3\u001b[0m \u001b[39mmax\u001b[39m \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m\n\u001b[0;32m----> 4\u001b[0m max_value \u001b[39m=\u001b[39m \u001b[39mmax\u001b[39;49m(kid_ages)\n\u001b[1;32m 5\u001b[0m \u001b[39mprint\u001b[39m(max_value)\n",
"\u001b[0;31mTypeError\u001b[0m: 'int' object is not callable"
]
}
],
"source": [
"kid_ages = [2, 7, 5, 6, 3]\n",
"\n",
"max = 0\n",
"max_value = max_val\n",
"print(max_value)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"ename": "AttributeError",
"evalue": "can't set attribute",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 8\u001b[0m line \u001b[0;36m1\n\u001b[1;32m 7\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdata\n\u001b[1;32m 9\u001b[0m foo \u001b[39m=\u001b[39m Foo(\u001b[39m23\u001b[39m)\n\u001b[0;32m---> 10\u001b[0m foo\u001b[39m.\u001b[39;49mx \u001b[39m=\u001b[39m \u001b[39m42\u001b[39m\n",
"\u001b[0;31mAttributeError\u001b[0m: can't set attribute"
]
}
],
"source": [
"class Foo(object):\n",
" def __init__(self, data):\n",
" self.data = data\n",
"\n",
" @property\n",
" def x(self):\n",
" return self.data\n",
"\n",
"foo = Foo(23)\n",
"foo.x = 42"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "Index does not support mutable operations",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 9\u001b[0m line \u001b[0;36m4\n\u001b[1;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\u001b[1;32m 3\u001b[0m ind \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mIndex([\u001b[39m2\u001b[39m, \u001b[39m3\u001b[39m, \u001b[39m5\u001b[39m, \u001b[39m7\u001b[39m, \u001b[39m11\u001b[39m])\n\u001b[0;32m----> 4\u001b[0m ind[\u001b[39m1\u001b[39;49m] \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m\n",
"File \u001b[0;32m/workspaces/vscode-copilot/.venv/lib/python3.9/site-packages/pandas/core/indexes/base.py:5347\u001b[0m, in \u001b[0;36mIndex.__setitem__\u001b[0;34m(self, key, value)\u001b[0m\n\u001b[1;32m 5345\u001b[0m \u001b[39m@final\u001b[39m\n\u001b[1;32m 5346\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__setitem__\u001b[39m(\u001b[39mself\u001b[39m, key, value) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m-> 5347\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mIndex does not support mutable operations\u001b[39m\u001b[39m\"\u001b[39m)\n",
"\u001b[0;31mTypeError\u001b[0m: Index does not support mutable operations"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"ind = pd.Index([2, 3, 5, 7, 11])\n",
"ind[1] = 0"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "'str' object is not an iterator",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 10\u001b[0m line \u001b[0;36m2\n\u001b[1;32m 1\u001b[0m g \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mabc\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m----> 2\u001b[0m \u001b[39mnext\u001b[39;49m(g)\n",
"\u001b[0;31mTypeError\u001b[0m: 'str' object is not an iterator"
]
}
],
"source": [
"g = 'abc'\n",
"next(g)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "can only concatenate str (not \"int\") to str",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 11\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> 1\u001b[0m \u001b[39m'\u001b[39;49m\u001b[39m3.14\u001b[39;49m\u001b[39m'\u001b[39;49m \u001b[39m+\u001b[39;49m \u001b[39m3\u001b[39;49m\n",
"\u001b[0;31mTypeError\u001b[0m: can only concatenate str (not \"int\") to str"
]
}
],
"source": [
"'3.14' + 3"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'array' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 12\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> 1\u001b[0m array([\u001b[39m1\u001b[39m, \u001b[39m2\u001b[39m, \u001b[39m3\u001b[39m, \u001b[39m4\u001b[39m, \u001b[39m5\u001b[39m])\n",
"\u001b[0;31mNameError\u001b[0m: name 'array' is not defined"
]
}
],
"source": [
"array([1, 2, 3, 4, 5])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "can only concatenate list (not \"str\") to list",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/workspaces/vscode-copilot/test/simulation/fixtures/notebook/errors.ipynb Cell 13\u001b[0m line \u001b[0;36m2\n\u001b[1;32m 1\u001b[0m foo \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39mhello\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mworld\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m----> 2\u001b[0m foo\u001b[39m+\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mbar\u001b[39;49m\u001b[39m'\u001b[39;49m\n",
"\u001b[0;31mTypeError\u001b[0m: can only concatenate list (not \"str\") to list"
]
}
],
"source": [
"foo = ['hello', 'world']\n",
"foo+'bar'"
]
}
],
"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": "3.9.2"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}