120 lines
3.1 KiB
Plaintext
120 lines
3.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 161,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import re\n",
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"\n",
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"pattern= re.compile(r'''[XY][+=](\\d+)''') #Pattern to Extract Values\n",
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"\n",
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"def readfile(infilename='testinput',offset=0):\n",
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" with open(infilename,'r') as infile:\n",
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" for idx,line in enumerate(infile.readlines()):\n",
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" line = line.strip()\n",
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" # on empty line yield result and reset\n",
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" if line =='':\n",
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" continue\n",
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" # grep X/Y Values from Line\n",
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" matches = pattern.findall(line)\n",
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" if \"Button A\" in line: #A Button Presses are X in my equation > first column of A\n",
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" A=np.zeros((2,2),dtype=int)\n",
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" A[:,0]=matches\n",
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" if \"Button B\" in line: #B Button Presses are Y in my equation > second column of A\n",
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" A[:,1]=matches\n",
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" if \"Prize:\" in line: #Prize Position is the result of solving the equation > B\n",
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" B=np.array(matches,dtype=int)+np.array([offset,offset]) #offset added for part 2\n",
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" solution = np.linalg.solve(A.astype(int),B.astype(int),)\n",
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" # remove non integer Solutions by rounding and checking validity of solution\n",
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" reverse = np.dot(A,np.round(solution))\n",
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" validation = np.all(np.equal(reverse,B.astype(int)))\n",
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" solution = solution.round().astype(int) if validation else None\n",
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" yield solution\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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},
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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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"Part 1"
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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": 162,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"np.int64(28753)"
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]
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},
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"execution_count": 162,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"sum((np.sum(x*[3,1]) for x in readfile('input') if x is not None ))"
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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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"Part 2"
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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": 163,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"np.int64(102718967795500)"
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]
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},
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"execution_count": 163,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"sum((np.sum(x*[3,1]) for x in readfile('input',offset=10000000000000) if x is not None ))"
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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": "advent",
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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": "3.13.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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