385 lines
9.9 KiB
Plaintext
385 lines
9.9 KiB
Plaintext
![]() |
{
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"cells": [
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"cell_type": "markdown",
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"metadata": {
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "f3bfc18d7d3126bb2bc86f70298b0eca",
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"grade": false,
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"grade_id": "cell-25e346adccbfbbd1",
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},
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"tags": []
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},
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"source": [
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"# The Monty Hall problem (Deutsch: Ziegenproblem)\n",
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"\n",
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"Read about it [on Wikipedia](https://en.wikipedia.org/wiki/Monty_Hall_problem) or [in German as the Ziegenproblem](https://de.wikipedia.org/wiki/Ziegenproblem) and come back. I'll wait.\n",
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"\n",
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"In this notebook, you will write a program to simulated the Monty Hall problem.\n",
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"\n",
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"We are going to make extensive use of the function `random.randint(a, b)`. From its docstring, it returns a `random integer in range [a, b], including both end points.`"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "aaf57ca23f25194de3aed50f5671d7f9",
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"grade": false,
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"grade_id": "cell-b19b617da52a3bc6",
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"locked": true,
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"schema_version": 3,
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"solution": false,
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"task": false
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"import random"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "5080a90ced63235419068f94c7ff0a1f",
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"grade": false,
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"grade_id": "cell-8d3e7b29ddec3069",
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"locked": true,
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"schema_version": 3,
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"solution": false,
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"task": false
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"for i in range(10):\n",
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" print(random.randint(0,2))"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "3eeedae0c60f10a8521a250c65e21e19",
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"grade": false,
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"grade_id": "cell-474fcacf28983b26",
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"locked": true,
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"schema_version": 3,
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"solution": false,
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"task": false
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},
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"tags": []
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},
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"source": [
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"### Q1\n",
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"\n",
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"For your first task, create a function called `sample_not` which takes two positional arguments (call them `not1` and `not2`) and will return a random integer between 0 and 2 (endpoints included) but which is not either of the arguments. The positional arguments will always be integers between 0 and 2 (inclusive)."
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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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"deletable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "9797d3745174cd03506e52e2599c87b1",
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"grade": false,
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"grade_id": "cell-f0ca4e3187e53217",
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"locked": false,
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"schema_version": 3,
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"solution": true,
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"task": false
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}
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},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE\n",
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"raise NotImplementedError()"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "c31b214732c7f43f93e8308cfe9403e4",
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"grade": true,
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"grade_id": "cell-50feeabd1f4f7d07",
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"locked": true,
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"points": 1,
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"schema_version": 3,
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"solution": false,
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"task": false
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}
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},
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"outputs": [],
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"source": [
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"# This is a test of the above, do not change this code.\n",
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"assert sample_not(0,1)==2\n",
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"assert sample_not(0,2)==1\n",
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"assert sample_not(1,0)==2\n",
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"assert sample_not(1,2)==0\n",
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"assert sample_not(2,0)==1\n",
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"assert sample_not(2,1)==0\n",
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"assert sample_not(0,1)==2\n",
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"assert sample_not(0,0) in (1,2)\n",
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"assert sample_not(1,1) in (0,2)\n",
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"assert sample_not(2,2) in (0,1)"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "bece62fea06aaeb9d022fcd6e0a23032",
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"grade": false,
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"grade_id": "cell-8fdbeafabef55703",
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"locked": true,
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"schema_version": 3,
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"solution": false,
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"task": false
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},
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"tags": []
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},
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"source": [
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"### Q2\n",
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"\n",
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"For your next task, consider the following code:\n",
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"\n",
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"```python\n",
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"\n",
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"# generate what is behind the doors\n",
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"doors = ['goat', 'goat', 'goat']\n",
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"car_door = random.randint(0,2)\n",
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"doors[car_door] = 'car'\n",
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"\n",
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"# Now, the guest makes a first guess.\n",
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"guess1 = random.randint(0,2)\n",
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"\n",
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"# Now, the host opens a door, which is not the guess or the car.\n",
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"host_open_door = sample_not(guess1,car_door)\n",
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"\n",
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"# Based on the variable `do_switch` (which is not set here), the guess will either make a new choice or stay with the original guess.\n",
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"if do_switch:\n",
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" guess2 = sample_not(guess1,host_open_door)\n",
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" final_guess = guess2\n",
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"else:\n",
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" final_guess = guess1\n",
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"\n",
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"# Finally, determine what was behind the door for the final guess.\n",
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"result = doors[final_guess]\n",
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"```\n",
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"\n",
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"Put this code in a function called `run_game` which takes a single argument, `do_switch`, and returns a boolean, indicating a win with `True` or a loss with `False`."
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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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"deletable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "7db500d5fbe4e3b7b017452c31d07cb2",
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"grade": false,
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"grade_id": "cell-c087e3c1a6e2d2dd",
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"locked": false,
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"schema_version": 3,
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"solution": true,
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"task": false
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}
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},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE\n",
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"raise NotImplementedError()"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "36aefb4d0a8ad8dbeeeac485d2bd9afe",
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"grade": true,
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"grade_id": "cell-a3750cd0c13cf6c0",
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"locked": true,
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"points": 1,
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"schema_version": 3,
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"solution": false,
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"task": false
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}
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},
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"outputs": [],
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"source": [
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"# This is a test of the above, do not change this code.\n",
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"count = 300\n",
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"for do_switch in (True, False):\n",
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" wins = 0\n",
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" for i in range(count):\n",
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" this_run_win = run_game(do_switch)\n",
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" assert(type(this_run_win)==bool)\n",
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" wins += int(this_run_win)\n",
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" print('do_switch: %s, wins: %d, count: %d'%(do_switch, wins, count))\n",
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" if do_switch:\n",
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" assert abs(wins/count - 2/3) < 0.1\n",
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" else:\n",
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" assert abs(wins/count - 1/3) < 0.1"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "1d2182a4b2f5530d0df89019ed8f524e",
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"grade": false,
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"grade_id": "cell-5626ba67e0f6f701",
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"locked": true,
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"schema_version": 3,
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"solution": false,
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"task": false
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},
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"tags": []
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},
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"source": [
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"Note the above results. You have numerically simulated the Monty Hall problem."
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "8448c5d8a31c617b3e8889a0f066412d",
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"grade": false,
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"grade_id": "cell-054774247e7bc87a",
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"locked": true,
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"schema_version": 3,
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"solution": false,
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"task": false
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},
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"tags": []
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},
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"source": [
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"## Q3\n",
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"\n",
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"Make a new game where there are 100 doors and the host opens 98 of them after the initial guess. Make a new function called `run_game_100`, and any other functions you need, which plays a single round of this game. Again, this function should take an argument `do_switch`."
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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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"deletable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "507b4cfa66e9812169df2e7e6f19d787",
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"grade": false,
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"grade_id": "cell-718f81e609214623",
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"locked": false,
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"schema_version": 3,
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"solution": true,
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"task": false
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}
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},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE\n",
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"raise NotImplementedError()"
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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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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "02dd189fb97c5291858f05eb56d3e022",
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"grade": true,
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"grade_id": "cell-0b76bb5440f73c22",
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"locked": true,
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"points": 1,
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"schema_version": 3,
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"solution": false,
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"task": false
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}
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},
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"outputs": [],
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"source": [
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"# This is a test of the above, do not change this code.\n",
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"count = 1000\n",
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"for do_switch in (True, False):\n",
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" wins = 0\n",
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" for i in range(count):\n",
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" this_run_win = run_game_100(do_switch)\n",
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" assert(type(this_run_win)==bool)\n",
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" wins += int(this_run_win)\n",
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" print('do_switch: %s, wins: %d, count: %d'%(do_switch, wins, count))\n",
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" if do_switch:\n",
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" assert abs(wins/count - 0.99) < 0.02\n",
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" else:\n",
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" assert abs(wins/count - 0.01) < 0.02"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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