diff --git a/2024/19/solution.py b/2024/19/solution.py index 7a299ba..475c5ae 100644 --- a/2024/19/solution.py +++ b/2024/19/solution.py @@ -5,7 +5,7 @@ sys.path.insert(0, '../../') from fred import list2int,get_re,nprint,bfs start_time = time.time() -input_f = 'test' +input_f = 'input' def loadFile(): colors = [] @@ -13,7 +13,7 @@ def loadFile(): with open(input_f) as file: for l,line in enumerate(file): if l == 0: - colors = line.rstrip().split(',') + colors = line.rstrip().replace(" ","").split(',') if l > 1: towels.append(line.rstrip()) return colors,towels @@ -27,9 +27,23 @@ def loadFile(): def part1(): + + def createRegex(colors): + return '^(' + '|'.join(colors) + ')+$' + colors,towels = loadFile() - - return + count = 0 + r = createRegex(colors) + print(r) + regexObj = re.compile(r) + #print(towels) + for tdx, t in enumerate(towels): + + match = re.match(regexObj,t) + if match: + count += 1 + print(tdx) + return count start_time = time.time() print('Part 1:',part1(), '\t\t', round((time.time() - start_time)*1000), 'ms') diff --git a/2024/22/22.md b/2024/22/22.md new file mode 100644 index 0000000..804eeb6 --- /dev/null +++ b/2024/22/22.md @@ -0,0 +1,219 @@ +## \-\-- Day 22: Monkey Market \-\-- + +As you\'re all teleported deep into the jungle, a [monkey](/2022/day/11) +steals The Historians\' device! You\'ll need get it back while The +Historians are looking for the Chief. + +The monkey that stole the device seems willing to trade it, but only in +exchange for an absurd number of bananas. Your only option is to buy +bananas on the Monkey Exchange Market. + +You aren\'t sure how the Monkey Exchange Market works, but one of The +Historians senses trouble and comes over to help. Apparently, they\'ve +been studying these monkeys for a while and have deciphered their +secrets. + +Today, the Market is full of monkeys buying *good hiding spots*. +Fortunately, because of the time you recently spent in this jungle, you +know lots of good hiding spots you can sell! If you sell enough hiding +spots, you should be able to get enough bananas to buy the device back. + +On the Market, the buyers seem to use random prices, but their prices +are actually only +[pseudorandom](https://en.wikipedia.org/wiki/Pseudorandom_number_generator)! +If you know the secret of how they pick their prices, you can wait for +the perfect time to sell. + +The part about secrets is literal, the Historian explains. Each buyer +produces a pseudorandom sequence of secret numbers where each secret is +derived from the previous. + +In particular, each buyer\'s *secret* number evolves into the next +secret number in the sequence via the following process: + +- Calculate the result of *multiplying the secret number by `64`*. + Then, *mix* this result into the secret number. Finally, *prune* the + secret number. +- Calculate the result of *dividing the secret number by `32`*. Round + the result down to the nearest integer. Then, *mix* this result into + the secret number. Finally, *prune* the secret number. +- Calculate the result of *multiplying the secret number by `2048`*. + Then, *mix* this result into the secret number. Finally, *prune* the + secret number. + +Each step of the above process involves *mixing* and *pruning*: + +- To *mix* a value into the secret number, calculate the [bitwise + XOR](https://en.wikipedia.org/wiki/Bitwise_operation#XOR) + of the given value and the secret number. Then, the secret number + becomes the result of that operation. (If the secret number is `42` + and you were to *mix* `15` into the secret number, the secret number + would become `37`.) +- To *prune* the secret number, calculate the value of the secret + number + [modulo](https://en.wikipedia.org/wiki/Modulo) + `16777216`. Then, the secret number becomes the result of that + operation. (If the secret number is `100000000` and you were to + *prune* the secret number, the secret number would become + `16113920`.) + +After this process completes, the buyer is left with the next secret +number in the sequence. The buyer can repeat this process as many times +as necessary to produce more secret numbers. + +So, if a buyer had a secret number of `123`, that buyer\'s next ten +secret numbers would be: + + 15887950 + 16495136 + 527345 + 704524 + 1553684 + 12683156 + 11100544 + 12249484 + 7753432 + 5908254 + +Each buyer uses their own secret number when choosing their price, so +it\'s important to be able to predict the sequence of secret numbers for +each buyer. Fortunately, the Historian\'s research has uncovered the +*initial secret number of each buyer* (your puzzle input). For example: + + 1 + 10 + 100 + 2024 + +This list describes the *initial secret number* of four different +secret-hiding-spot-buyers on the Monkey Exchange Market. If you can +simulate secret numbers from each buyer, you\'ll be able to predict all +of their future prices. + +In a single day, buyers each have time to generate `2000` *new* secret +numbers. In this example, for each buyer, their initial secret number +and the 2000th new secret number they would generate are: + + 1: 8685429 + 10: 4700978 + 100: 15273692 + 2024: 8667524 + +Adding up the 2000th new secret number for each buyer produces +`37327623`. + +For each buyer, simulate the creation of 2000 new secret numbers. *What +is the sum of the 2000th secret number generated by each buyer?* + +Your puzzle answer was `14476723788`. + +The first half of this puzzle is complete! It provides one gold star: \* + +## \-\-- Part Two \-\-- {#part2} + +Of course, the secret numbers aren\'t the prices each buyer is offering! +That would be +ridiculous. Instead, +the *prices* the buyer offers are just the *ones digit* of each of their +secret numbers. + +So, if a buyer starts with a secret number of `123`, that buyer\'s first +ten *prices* would be: + + 3 (from 123) + 0 (from 15887950) + 6 (from 16495136) + 5 (etc.) + 4 + 4 + 6 + 4 + 4 + 2 + +This price is the number of *bananas* that buyer is offering in exchange +for your information about a new hiding spot. However, you still don\'t +speak [monkey](/2022/day/21), so you can\'t negotiate with the buyers +directly. The Historian speaks a little, but not enough to negotiate; +instead, he can ask another monkey to negotiate on your behalf. + +Unfortunately, the monkey only knows how to decide when to sell by +looking at the *changes* in price. Specifically, the monkey will only +look for a specific sequence of *four consecutive changes* in price, +then immediately sell when it sees that sequence. + +So, if a buyer starts with a secret number of `123`, that buyer\'s first +ten secret numbers, prices, and the associated changes would be: + + 123: 3 + 15887950: 0 (-3) + 16495136: 6 (6) + 527345: 5 (-1) + 704524: 4 (-1) + 1553684: 4 (0) + 12683156: 6 (2) + 11100544: 4 (-2) + 12249484: 4 (0) + 7753432: 2 (-2) + +Note that the first price has no associated change because there was no +previous price to compare it with. + +In this short example, within just these first few prices, the highest +price will be `6`, so it would be nice to give the monkey instructions +that would make it sell at that time. The first `6` occurs after only +two changes, so there\'s no way to instruct the monkey to sell then, but +the second `6` occurs after the changes `-1,-1,0,2`. So, if you gave the +monkey that sequence of changes, it would wait until the first time it +sees that sequence and then immediately sell your hiding spot +information at the current price, winning you `6` bananas. + +Each buyer only wants to buy one hiding spot, so after the hiding spot +is sold, the monkey will move on to the next buyer. If the monkey +*never* hears that sequence of price changes from a buyer, the monkey +will never sell, and will instead just move on to the next buyer. + +Worse, you can only give the monkey *a single sequence* of four price +changes to look for. You can\'t change the sequence between buyers. + +You\'re going to need as many bananas as possible, so you\'ll need to +*determine which sequence* of four price changes will cause the monkey +to get you the *most bananas overall*. Each buyer is going to generate +`2000` secret numbers after their initial secret number, so, for each +buyer, you\'ll have *`2000` price changes* in which your sequence can +occur. + +Suppose the initial secret number of each buyer is: + + 1 + 2 + 3 + 2024 + +There are many sequences of four price changes you could tell the +monkey, but for these four buyers, the sequence that will get you the +most bananas is `-2,1,-1,3`. Using that sequence, the monkey will make +the following sales: + +- For the buyer with an initial secret number of `1`, changes + `-2,1,-1,3` first occur when the price is `7`. +- For the buyer with initial secret `2`, changes `-2,1,-1,3` first + occur when the price is `7`. +- For the buyer with initial secret `3`, the change sequence + `-2,1,-1,3` *does not occur* in the first 2000 changes. +- For the buyer starting with `2024`, changes `-2,1,-1,3` first occur + when the price is `9`. + +So, by asking the monkey to sell the first time each buyer\'s prices go +down `2`, then up `1`, then down `1`, then up `3`, you would get `23` +(`7 + 7 + 9`) bananas! + +Figure out the best sequence to tell the monkey so that by looking for +that same sequence of changes in every buyer\'s future prices, you get +the most bananas in total. *What is the most bananas you can get?* + +Answer: + +Although it hasn\'t changed, you can still [get your puzzle +input](22/input). + diff --git a/2024/22/solution.py b/2024/22/solution.py new file mode 100644 index 0000000..861d0f1 --- /dev/null +++ b/2024/22/solution.py @@ -0,0 +1,84 @@ +#!/bin/python3 +import sys,time,re +from pprint import pprint +from math import trunc +sys.path.insert(0, '../../') +from fred import list2int,get_re,nprint,lprint,loadFile +start_time = time.time() + +from functools import cache + +input_f = 'test' + +@cache +def genSecretP1(number:int): + mix = number * 64 + step1 = (number ^ mix)%16777216 + + mix = int(trunc(step1/32)) + step2 = (step1 ^ mix)%16777216 + + mix = step2 * 2048 + step3 = (step2 ^ mix)%16777216 + + return step3 + + +######################################### +# # +# Part 1 # +# # +######################################### +def part1(): + numbers = list2int(loadFile(input_f)) + r = 10 + result = 0 + + for n in numbers: + number = n + for i in range(r): + number = genSecretP1(number) + + result += number + + return result +start_time = time.time() +print('Part 1:',part1(), '\t\t', round((time.time() - start_time)*1000), 'ms') + + +######################################### +# # +# Part 2 # +# # +######################################### + +@cache +def genSecretP2(number:int): + mix = number * 64 + step1 = (number ^ mix)%16777216 + + mix = int(trunc(step1/32)) + step2 = (step1 ^ mix)%16777216 + + mix = step2 * 2048 + step3 = (step2 ^ mix)%16777216 + + print(str(number)+": "+str(number)[-1]) + return step3 + +def part2(): + numbers = list2int(loadFile(input_f)) + r = 10 + result = 0 + + for n in numbers: + number = n + for i in range(r): + number = genSecretP2(number) + + result += number + + return result + +start_time = time.time() +print('Part 2:',part2(), '\t\t', round((time.time() - start_time)*1000), 'ms') \ No newline at end of file