Thun/docs/notebooks/Advent_of_Code_2017_Decembe...

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Advent of Code 2017\n",
"\n",
"## December 4th\n",
"To ensure security, a valid passphrase must contain no duplicate words.\n",
"\n",
"For example:\n",
"\n",
"* aa bb cc dd ee is valid.\n",
"* aa bb cc dd aa is not valid - the word aa appears more than once.\n",
"* aa bb cc dd aaa is valid - aa and aaa count as different words.\n",
"\n",
"The system's full passphrase list is available as your puzzle input. How many passphrases are valid?"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from notebook_preamble import J, V, define"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I'll assume the input is a Joy sequence of sequences of integers.\n",
"\n",
" [[5 1 9 5]\n",
" [7 5 4 3]\n",
" [2 4 6 8]]\n",
"\n",
"So, obviously, the initial form will be a `step` function:\n",
"\n",
" AoC2017.4 == 0 swap [F +] step"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
" F == [size] [unique size] cleave =\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `step_zero` combinator includes the `0 swap` that would normally open one of these definitions:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==== Help on step_zero ====\n",
"\n",
"0 roll> step\n",
"\n",
"---- end (step_zero)\n",
"\n",
"\n"
]
}
],
"source": [
"J('[step_zero] help')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" AoC2017.4 == [F +] step_zero"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"define('AoC2017.4 [[size] [unique size] cleave = +] step_zero')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n"
]
}
],
"source": [
"J('''\n",
"\n",
"[[5 1 9 5]\n",
" [7 5 4 3]\n",
" [2 4 6 8]] AoC2017.4\n",
"\n",
"''')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}