283 lines
5.6 KiB
Plaintext
283 lines
5.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Peer-graded quiz for `Types`"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Please note that this notebook was created in Julia version 0.4.6."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Answer the following questions by creating the appropriate code."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 1\n",
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"\n",
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"List the subtypes of the `Real` type."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Subtypes of Real\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 2\n",
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"\n",
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"Create a user-defined type called `MyFloat` with a single field called `x` that is of type `Float64`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create a user-defined type called MyFloat with a single field called x of type Float64\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 3\n",
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"\n",
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"Instantiate the `MyFloat` type with a field values of $ 3 $."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Instantiate the MyFloat type with a field value of 3\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 4\n",
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"\n",
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"Create a user-defined parametrized type called `MyCube` with $ 3 $ fields called `h`, `w`, and `l`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# Create a user-defined parametrized type called MyCube with $ 3 $ fields called h, w, and l.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 5\n",
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"\n",
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"Instantiate the type `MyCube` with $ 2 $ variables called `cube1` and `cube2`, i.e. `cube1 = MyCube(...`. Pass the field values $ 2 $, $ 3 $, and $ 2 $ to `cube1` and $ 4 $, $ 3 $, and $ 2 $ to `cube2`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create 2 instances of the MyCube type\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 6\n",
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"\n",
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"Change the `h` field value of `cube1` to $ 3 $."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Change the h filed value of cube1 to 3\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 7\n",
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"\n",
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"Import the `Base.log` function."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# Import the Base.log function\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 8\n",
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"\n",
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"Create and external constructor that will specify the `log()` function for an instance of the `MyCube` type as the natural logarithm of the product of the values held in the fields `h`, `w`, and `l`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create and external constructor for the natural logarithm of the volume of an instance of MyCube\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 9\n",
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"\n",
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"Calculate the `log()` of `cube1`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"# The natural log of cube1\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 10\n",
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"\n",
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"Overload the methods of the `+()` function to add the individual field values of $ 2 $ instances of the `MyCube` type."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Overload the methods of the +() functions for the MyCube type\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Question 11\n",
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"\n",
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"Add `cube1` and `cube2`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Add cube1 and cube2\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"hide_input": false,
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"kernelspec": {
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"display_name": "Julia 1.0.0",
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"language": "julia",
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"name": "julia-1.0"
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},
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"language_info": {
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"file_extension": ".jl",
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"mimetype": "application/julia",
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"name": "julia",
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"version": "1.0.0"
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},
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"varInspector": {
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"cols": {
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"lenName": 16,
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"lenType": 16,
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"lenVar": 40
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},
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"kernels_config": {
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"python": {
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"delete_cmd_postfix": "",
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"delete_cmd_prefix": "del ",
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"library": "var_list.py",
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"varRefreshCmd": "print(var_dic_list())"
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},
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"r": {
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"delete_cmd_postfix": ") ",
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"delete_cmd_prefix": "rm(",
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"library": "var_list.r",
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"varRefreshCmd": "cat(var_dic_list()) "
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}
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},
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"types_to_exclude": [
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"module",
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"function",
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"builtin_function_or_method",
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"instance",
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"_Feature"
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],
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"window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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