Generated from https://github.com/max-sixty/aoc-gpt
Here's an Advent of Code puzzle, which is a cryptic puzzle told through an imaginary story. You need to write code which solves it. The description includes an example of solving a simplified version of the puzzle.
-----
Space needs to be cleared before the last supplies can be unloaded from the ships, and so several Elves have been assigned the job of cleaning up sections of the camp. Every section has a unique *ID number*, and each Elf is assigned a range of section IDs.
However, as some of the Elves compare their section assignments with each other, they've noticed that many of the assignments *overlap*. To try to quickly find overlaps and reduce duplicated effort, the Elves pair up and make a *big list of the section assignments for each pair* (your puzzle input).
For example, consider the following list of section assignment pairs:
```
2-4,6-8
2-3,4-5
5-7,7-9
2-8,3-7
6-6,4-6
2-6,4-8
```
For the first few pairs, this list means:
* Within the first pair of Elves, the first Elf was assigned sections `2-4` (sections `2`, `3`, and `4`), while the second Elf was assigned sections `6-8` (sections `6`, `7`, `8`).
* The Elves in the second pair were each assigned two sections.
* The Elves in the third pair were each assigned three sections: one got sections `5`, `6`, and `7`, while the other also got `7`, plus `8` and `9`.
This example list uses single-digit section IDs to make it easier to draw; your actual list might contain larger numbers. Visually, these pairs of section assignments look like this:
```
.234..... 2-4
.....678. 6-8
.23...... 2-3
...45.... 4-5
....567.. 5-7
......789 7-9
.2345678. 2-8
..34567.. 3-7
.....6... 6-6
...456... 4-6
.23456... 2-6
...45678. 4-8
```
Some of the pairs have noticed that one of their assignments *fully contains* the other. For example, `2-8` fully contains `3-7`, and `6-6` is fully contained by `4-6`. In pairs where one assignment fully contains the other, one Elf in the pair would be exclusively cleaning sections their partner will already be cleaning, so these seem like the most in need of reconsideration. In this example, there are `*2*` such pairs.
*In how many assignment pairs does one range fully contain the other?*
-----
Now write python3 code which prints the correct answer. Print any information which supports your answer on the same line as the answer. The input is in a file `input.txt`.
```python
GPT-3 generated:
# define a function to read the input from the file
def readFile(filename):
sectionValues = []
with open(filename, "r") as f:
for line in f:
sections = line.strip().split(",")
start1, end1 = sections[0].split('-')
start2, end2 = sections[1].split('-')
start1, end1, start2, end2 = map(int, [start1, end1, start2, end2])
sectionValues.append([start1, end1, start2, end2])
return sectionValues
# define a function to check if one range fully contains the other
def checkRange(start1, end1, start2, end2):
if (start1 <= start2 and end1 >= end2) or (start2 <= start1 and end2 >= end1):
return True
else:
return False
# read the input
sectionValues = readFile('input.txt')
# count the number of pairs where one range fully contains the other
count = 0
for start1, end1, start2, end2 in sectionValues:
if checkRange(start1, end1, start2, end2):
count += 1
# print the result
print("Number of pairs where one range fully contains the other: " + str(count))Running the python over the input generated:
Number of pairs where one range fully contains the other: 567
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
def make_range(pair):
# Takes a string with two numbers separated by a hyphen and returns
# the range of integers between those two numbers.
start, end = pair.split('-')
return range(int(start), int(end)+1)
# Read input from file
with open('input.txt', 'r') as f:
content = f.read().splitlines() # each line is a string
# Iterate through each line
pairs = 0
for line in content:
# Split up each pair of ranges into two separate strings
pair1, pair2 = line.split(',')
# Create lists of the values in each range
list_1 = make_range(pair1)
list_2 = make_range(pair2)
# Check if first range contains the second
if all(i in list_1 for i in list_2):
pairs += 1
# Check if second range contains the first
elif all(i in list_2 for i in list_1):
pairs += 1
# Print answer
print(f'Number of assignment pairs such that one range fully contains the other: {pairs}')Running the python over the input generated:
Number of assignment pairs such that one range fully contains the other: 567
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
# Read lines from the file
pairs = []
with open('input.txt', 'r') as fp:
for line in fp:
pairs.append(tuple(line.strip().split(',')))
# Compare each pair and see if one range fully contains the other
fully_contained_pairs = 0
for pair in pairs:
a, b = pair
# Unpack the range strings and convert to integers
a_start, a_end = [int(i) for i in a.split('-')]
b_start, b_end = [int(i) for i in b.split('-')]
# Check if one range fully contains the other
if a_start <= b_start and b_end <= a_end:
fully_contained_pairs += 1
elif b_start <= a_start and a_end <= b_end:
fully_contained_pairs += 1
# Output the answer
print(f"The number of assignment pairs where one range fully contains the other is {fully_contained_pairs}")Running the python over the input generated:
The number of assignment pairs where one range fully contains the other is 567
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
#read the lines into a list
with open('input.txt', 'r') as file:
ranges = file.readlines()
#initialize count
count = 0
#loop over each line
for line in ranges:
#split line into two parts
p1, p2 = line.split(',')
#extract minimum and maximum values
a1, b1 = [int(x) for x in p1.split('-')]
a2, b2 = [int(x) for x in p2.split('-')]
#update count if one range is fully contained in the other
if (a1 <= a2 and b2 <= b1) or (a2 <= a1 and b1 <= b2):
count += 1
#print answer
print("The answer is:", count, "(pairs whose ranges fully contain the other)")Running the python over the input generated:
The answer is: 567 (pairs whose ranges fully contain the other)
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
# open file and read in lines
f = open("input.txt", "r")
lines = f.readlines()
# set up counters
total_assignment_pairs = 0
fully_contains_pairs = 0
# go through each line
for pair in lines:
total_assignment_pairs += 1 # increment counter for each line
# split on comma and strip empty characters
assignment_pair = pair.strip().split(',')
# parse each assignment
assignment_1, assignment_2 = assignment_pair[0], assignment_pair[1]
range_1 = [int(x) for x in assignment_1.split('-')]
range_2 = [int(x) for x in assignment_2.split('-')]
# check if one range fully contains the other
if range_1[0] <= range_2[0] and range_1[1] >= range_2[1]:
fully_contains_pairs += 1
elif range_2[0] <= range_1[0] and range_2[1] >= range_1[1]:
fully_contains_pairs += 1
# print answer
print('Answer:',fully_contains_pairs,'pairs of assignments out of',total_assignment_pairs)Running the python over the input generated:
Answer: 567 pairs of assignments out of 1000
We parsed ['567', '1000'] as answers from this output, which was correct.
GPT-3 generated:
# Open input file
input_file = open('input.txt')
# Initialize counter
fully_contained_range_count = 0
# Iterate over pairs of ranges
for pair in input_file.readlines():
range_1, range_2 = pair.strip().split(',')
# Extract integers for each range
range_1_start, range_1_end = map(int, range_1.split('-'))
range_2_start, range_2_end = map(int, range_2.split('-'))
# Check if one range fully contains the other
if range_1_start <= range_2_start and range_1_end >= range_2_end:
fully_contained_range_count += 1
elif range_2_start <= range_1_start and range_2_end >= range_1_end:
fully_contained_range_count += 1
# Print the answer
print(f"Answer: {fully_contained_range_count}")Running the python over the input generated:
Answer: 567
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
pairs = []
lines = open("input.txt").readlines()
for line in lines:
pair = line.split(",")
pairs.append(pair)
# convert the ranges to sets
sets = []
for pair in pairs:
set1 = set(range(int(pair[0].split("-")[0]), int(pair[0].split("-")[1])+1))
set2 = set(range(int(pair[1].split("-")[0]), int(pair[1].split("-")[1])+1))
sets.append([set1, set2])
# check how many sets have one contained in the other
contained = 0
for set1, set2 in sets:
if set1.issubset(set2) or set2.issubset(set1):
contained += 1
# print answer
print("Number of assignment pairs where one range fully contains the other: {cont}".
format(cont=contained))Running the python over the input generated:
Number of assignment pairs where one range fully contains the other: 567
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
# Define a range class to represent ranges of integers
class Range:
def __init__(self, first, last):
self.first = first
self.last = last
# Check whether range is fully contained in another range
def fullyContainedIn(self, other):
return self.first >= other.first and self.last <= other.last
# Read the range pairs from a file
with open('input.txt') as file:
lines = file.readlines()
# Count the number of assignment pairs where one range is fully contained in the other
count = 0
for line in lines:
# Split the line into two ranges
firstRange, secondRange = line.strip().split(',')
firstSplit = firstRange.split('-')
secondSplit = secondRange.split('-')
firstRangeObj = Range(int(firstSplit[0]), int(firstSplit[1]))
secondRangeObj = Range(int(secondSplit[0]), int(secondSplit[1]))
# Check if one range is fully contained in the other
if (firstRangeObj.fullyContainedIn(secondRangeObj) or secondRangeObj.fullyContainedIn(firstRangeObj)):
count += 1
# Print the result
print("Answer: %d assignment pairs have one range fully contained in the other" % count)Running the python over the input generated:
Answer: 567 assignment pairs have one range fully contained in the other
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
# Open input file
f = open('input.txt', 'r')
# Initialize counter and read each line in the input
count = 0
for line in f:
# Split the line into two parts: the two ranges
range1, range2 = line.split(',')
# Get the start and end of each range
start1, end1 = [int(x) for x in range1.split('-')]
start2, end2 = [int(x) for x in range2.split('-')]
# Compare the ranges and increment our counter
if (start1 <= start2 and end1 >= end2) or (start1 >= start2 and end1 <= end2):
count += 1
# Print the answer
print(f'Number of assignment pairs where one range fully contains the other: {count}')
# Close the input file
f.close()Running the python over the input generated:
Number of assignment pairs where one range fully contains the other: 567
We parsed 567 as an answer from this output, which was correct.
GPT-3 generated:
with open("input.txt", "r") as f:
pairs = [line.strip("\n").split(",") for line in f]
tot_ful_pairs = 0
for pair in pairs:
[A,B] = [tuple(map(int,i.split('-'))) for i in pair]
if (A[0] <= B[0] and A[1] >= B[1]):
overlaps = max(0, A[1] - B[0])
tot_ful_pairs += 1
print("There are {} assignment pairs, in which one range fully contains the other".format(tot_ful_pairs))Running the python over the input generated:
There are 266 assignment pairs, in which one range fully contains the other
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
# Read in the input
input_file = open("input.txt", "r")
ranges = [line.split(',') for line in input_file]
input_file.close()
# Combine the ranges in each line
ranges_combined = [(rng[0].split('-'), rng[1].split('-')) for rng in ranges]
# Find pairs with fully contained ranges
counter = 0
for range_pair in ranges_combined:
# Get the start and end of each range
start1, end1 = range_pair[0][0], range_pair[0][1]
start2, end2 = range_pair[1][0], range_pair[1][1]
# If the start of range 1 is less than or the same as the start of range 2
# and the end of range 1 is greater than or the same as the end of range 2
# then range 1 fully contains range 2
if start1 <= start2 and end1 >= end2:
counter += 1
# If the start of range 2 is less than or the same as the start of range 1
# and the end of range 2 is greater than or the same as the end of range 1
# then range 2 fully contains range 1
if start2 <= start1 and end2 >= end1:
counter += 1
# Print the answer
print("Number of fully contained ranges: " + str(counter))Running the python over the input generated:
Number of fully contained ranges: 533
We parsed 533 as an answer from this output, which was incorrect.
GPT-3 generated:
count = 0
# open the input file
with open('input.txt') as fp:
lines = fp.readlines()
# process each line in the input file
for i, line in enumerate(lines):
x = line.strip().split(",")
# decompose each line into its two parts
x_start, x_end = map(int, x[0].split("-"))
y_start, y_end = map(int, x[1].split("-"))
# check if x is a full subset of y
if x_start >= y_start and x_end <= y_end:
count += 1
print(f"The answer is {count}")Running the python over the input generated:
The answer is 322
We parsed 322 as an answer from this output, which was incorrect.
GPT-3 generated:
# read in input
file = open('input.txt', 'r')
inputs = [pair.strip() for pair in file.readlines()]
# create list of overlapping section pairs
overlapping_pairs = []
for pair in inputs:
start1,end1 = pair.split(',')[0].split('-')
start2,end2 = pair.split(',')[1].split('-')
if (start1 <= start2 and end1 >= end2) or (start2 <= start1 and end2 >= end1):
overlapping_pairs.append(pair)
# print answer
print('Number of overlapping pairs: ', len(overlapping_pairs), '\nPairs are:', overlapping_pairs)Running the python over the input generated:
Number of overlapping pairs: 584 ...[truncated]
We parsed 584 as an answer from this output, which was incorrect.
GPT-3 generated:
#open file
file = open('input.txt', 'r')
# set counter variable to 0
counter = 0
# read each line in the file
for line in file:
# split line along commas
sections = line.split(',')
# split the first section along the dash
first_start, first_end = sections[0].split('-')
# convert start and end of first section to int
first_start, first_end = int(first_start), int(first_end)
# split the second section along the dash
second_start, second_end = sections[1].split('-')
# convert start and end of second section to int
second_start, second_end = int(second_start), int(second_end)
# if the end of the first section is greater than the end of the second section,
# and the end of the first section is equal to or greater than the start of the second section
if first_end > second_end and first_end >= second_start:
# increment the counter
counter += 1
#print the answer
print(f'The answer is {counter}')Running the python over the input generated:
The answer is 404
We parsed 404 as an answer from this output, which was incorrect.
GPT-3 generated:
# initiate a count of fully overlapping ranges
overlap_count=0
# open the input file and use a loop to process each line
with open('input.txt') as f:
for line in f:
# split the line into separate ranges, and extract the start and end points of the ranges
ranges=line.rstrip().split(',')
first_start, first_end, second_start, second_end=ranges[0].split('-')[0],ranges[0].split('-')[1],ranges[1].split('-')[0],ranges[1].split('-')[1]
# determine if one range fully contains the other
if (first_start <= second_start) and (first_end >= second_end):
overlap_count += 1
elif (second_start <= first_start) and (second_end >= first_end):
overlap_count += 1
# print the overlaps
print(f'Number of overlapping ranges: {overlap_count}')Running the python over the input generated:
Number of overlapping ranges: 584
We parsed 584 as an answer from this output, which was incorrect.
GPT-3 generated:
total_contained_sectons = 0
with open('input.txt', 'r') as input_file:
for line in input_file:
section_a, section_b = line.strip().split(',')
a_begin, a_end = [int(x) for x in section_a.split('-')]
b_begin, b_end = [int(x) for x in section_b.split('-')]
if a_begin <= b_begin and a_end >= b_end:
print('Section {} contains section {}'.format(section_a, section_b))
total_contained_sectons += 1
print('{} pairs contain the other range'.format(total_contained_sectons))Running the python over the input generated:
Section 9-89 contains section 88-88...[truncated]
We parsed ['9', '89', '88', '88'] as answers from this output, which was incorrect.
GPT-3 generated:
# Read data from input file
data = open("input.txt", "r").read()
# Parse the input data into a list of pairs in the form [start, end]
sections = []
for line in data.strip().split("\n"):
start, end = line.split(",")
sections.append([int(start.split('-')[1]), int(end.split('-')[1])])
# Count the number of overlapping pairs
num_overlaps = 0
for i in range(len(sections)):
for j in range(i + 1, len(sections)):
if (sections[i][0] >= sections[j][0] and sections[i][1] <= sections[j][1]) or (sections[j][0] >= sections[i][0] and sections[j][1] <= sections[i][1]):
num_overlaps += 1
# Print the result
print("Number of overlapping pairs:", num_overlaps)Running the python over the input generated:
Number of overlapping pairs: 136400
We parsed 136400 as an answer from this output, which was incorrect.
GPT-3 generated:
# set of pairs to store all pairs
pairs = set()
# loop through the input file
with open('input.txt') as f:
for line in f.readlines():
# split the line into two parts (A and B)
A, B = line.strip().split(',')
# extract the min and max of the range
min_A, max_A = map(int, A.split('-'))
min_B, max_B = map(int, B.split('-'))
# Case 1: A fully contains B
if min_A < min_B and max_A > max_B:
pairs.add(f"{A} fully contains {B}")
# Case 2: B fully contains A
if min_A > min_B and max_A < max_B:
pairs.add(f"{B} fully contains {A}")
# Print Answer
print(f"Answer: {len(pairs)} assignment pairs where one range fully contains the other: {list(pairs)}")Running the python over the input generated:
Answer: 291 assignment pairs where one range fully contains the other: ['51-55 fully contains 53-54', '1-93 fully contains 2-2', '13-78 fully contains 17-72', '18-49 fully contains 35-48', '26-99 fully contains 27-98', '23-98 fully contains 51-95', '12-54 fully contains 13-13', '9-69 fully contains 68-68', '47-92 fully contains 48-91', '9-45 fully contains 34-37', '3-65 fully contains 4-64', '8-80 fully contains 20-79', '5-90 fully contains 30-52', '21-72 fully contains 41-52', '26-92 fully contains 34-65', '25-90 fully contains 26-89', '10-96 fully contains 95-95', '7-49 fully contains 8-48', '18-95 fully contains 94-94', '31-86 fully contains 32-85', '24-74 fully contains 73-73', '8-10 fully contains 9-9', '13-90 fully contains 14-89', '20-96 fully contains 48-95', '25-93 fully contains 50-92', '20-40 fully contains 39-39', '10-49 fully contains 11-44', '56-66 fully contains 62-65', '74-89 fully contains 88-88', '20-68 fully contains 38-67', '22-78 fully contains 23-77', '34-74 fully contains 35-62', '73-92 fully contains 74-91', '25-99 fully contains 26-82', '81-92 fully contains 82-91', '31-89 fully contains 88-88', '16-58 fully contains 17-57', '57-74 fully contains 58-58', '18-38 fully contains 37-37', '5-93 fully contains 6-92', '12-86 fully contains 13-13', '21-23 fully contains 22-22', '17-90 fully contains 24-88', '18-93 fully contains 29-83', '45-56 fully contains 46-55', '68-98 fully contains 69-78', '48-98 fully contains 49-75', '70-87 fully contains 71-86', '3-63 fully contains 42-62', '2-99 fully contains 3-98', '38-43 fully contains 39-42', '8-65 fully contains 9-9', '88-94 fully contains 89-93', '17-89 fully contains 18-88', '5-94 fully contains 13-93', '25-82 fully contains 26-81', '54-99 fully contains 72-88', '48-83 fully contains 49-49', '9-99 fully contains 98-98', '38-45 fully contains 44-44', '46-74 fully contains 47-47', '12-61 fully contains 13-35', '81-91 fully contains 87-87', '46-78 fully contains 50-61', '19-90 fully contains 20-89', '24-86 fully contains 72-85', '8-99 fully contains 9-94', '61-78 fully contains 77-77', '7-96 fully contains 8-8', '19-95 fully contains 20-94', '26-99 fully contains 84-97', '12-93 fully contains 67-86', '20-40 fully contains 21-21', '30-77 fully contains 31-76', '5-77 fully contains 6-76', '2-49 fully contains 4-43', '41-47 fully contains 46-46', '15-63 fully contains 16-62', '38-47 fully contains 39-43', '2-73 fully contains 3-13', '10-78 fully contains 19-63', '45-89 fully contains 86-88', '54-97 fully contains 55-83', '7-32 fully contains 8-8', '35-89 fully contains 36-88', '24-96 fully contains 25-25', '11-28 fully contains 12-27', '4-9 fully contains 8-8', '3-92 fully contains 17-91', '3-95 fully contains 6-91', '2-99 fully contains 3-97', '8-65 fully contains 9-64', '22-67 fully contains 59-66', '7-98 fully contains 8-97', '40-97 fully contains 70-79', '9-94 fully contains 20-77', '12-40 fully contains 20-36', '10-85 fully contains 11-11', '39-92 fully contains 56-91', '27-84 fully contains 28-28', '11-84 fully contains 67-75', '6-87 fully contains 86-86', '4-64 fully contains 5-63', '1-61 fully contains 4-30', '8-89 fully contains 9-88', '5-95 fully contains 74-93', '2-87 fully contains 62-73', '9-53 fully contains 39-42', '67-93 fully contains 68-92', '88-90 fully contains 89-89', '33-47 fully contains 34-39', '69-89 fully contains 70-70', '54-93 fully contains 72-92', '18-86 fully contains 19-85', '31-48 fully contains 38-47', '43-69 fully contains 44-68', '6-86 fully contains 85-85', '57-64 fully contains 58-63', '16-42 fully contains 23-41', '3-74 fully contains 31-73', '8-89 fully contains 16-79', '4-89 fully contains 25-75', '5-58 fully contains 6-54', '54-69 fully contains 68-68', '1-96 fully contains 2-95', '40-88 fully contains 41-59', '50-75 fully contains 51-74', '4-90 fully contains 8-43', '33-46 fully contains 34-34', '36-62 fully contains 37-61', '4-60 fully contains 23-56', '1-67 fully contains 3-14', '8-67 fully contains 9-66', '57-99 fully contains 84-88', '2-83 fully contains 61-82', '56-85 fully contains 74-83', '24-37 fully contains 36-36', '2-62 fully contains 13-61', '23-46 fully contains 25-38', '2-88 fully contains 17-64', '16-97 fully contains 17-96', '35-72 fully contains 36-71', '6-96 fully contains 7-21', '19-96 fully contains 20-95', '67-80 fully contains 68-79', '50-99 fully contains 51-51', '2-78 fully contains 3-3', '26-71 fully contains 70-70', '1-68 fully contains 2-67', '42-58 fully contains 43-57', '30-70 fully contains 31-69', '46-79 fully contains 78-78', '14-72 fully contains 16-71', '72-90 fully contains 73-89', '28-74 fully contains 29-73', '25-98 fully contains 26-97', '27-33 fully contains 30-32', '9-96 fully contains 95-95', '8-90 fully contains 9-43', '27-85 fully contains 39-84', '5-98 fully contains 6-97', '6-72 fully contains 7-55', '37-92 fully contains 74-91', '13-97 fully contains 14-96', '51-83 fully contains 67-74', '1-98 fully contains 2-79', '13-91 fully contains 53-90', '80-90 fully contains 82-89', '17-66 fully contains 18-18', '2-95 fully contains 50-94', '50-63 fully contains 60-62', '9-89 fully contains 88-88', '6-49 fully contains 14-33', '26-81 fully contains 27-48', '74-81 fully contains 75-80', '10-73 fully contains 11-11', '27-79 fully contains 28-28', '54-83 fully contains 82-82', '1-99 fully contains 2-98', '10-98 fully contains 94-97', '4-97 fully contains 5-45', '10-39 fully contains 25-38', '65-82 fully contains 78-81', '4-61 fully contains 8-35', '33-56 fully contains 34-55', '37-91 fully contains 38-90', '95-99 fully contains 96-98', '5-85 fully contains 6-84', '11-69 fully contains 12-36', '66-87 fully contains 67-86', '54-98 fully contains 77-97', '48-95 fully contains 49-94', '65-73 fully contains 68-72', '86-93 fully contains 87-91', '12-99 fully contains 18-97', '62-76 fully contains 63-63', '51-98 fully contains 52-80', '41-53 fully contains 42-52', '10-96 fully contains 11-95', '29-37 fully contains 30-36', '17-79 fully contains 78-78', '40-70 fully contains 41-67', '6-96 fully contains 10-70', '63-93 fully contains 64-92', '59-70 fully contains 60-60', '55-90 fully contains 56-89', '44-96 fully contains 45-45', '32-61 fully contains 33-60', '72-92 fully contains 91-91', '74-95 fully contains 77-84', '68-98 fully contains 69-96', '10-92 fully contains 11-11', '20-23 fully contains 21-22', '19-91 fully contains 42-88', '11-13 fully contains 12-12', '29-90 fully contains 30-89', '14-94 fully contains 15-15', '5-89 fully contains 6-6', '2-54 fully contains 3-53', '22-55 fully contains 23-54', '46-73 fully contains 66-72', '11-93 fully contains 12-40', '5-69 fully contains 8-68', '42-79 fully contains 48-78', '41-58 fully contains 53-57', '26-77 fully contains 27-76', '13-85 fully contains 14-84', '2-13 fully contains 3-3', '52-56 fully contains 53-53', '18-75 fully contains 19-74', '22-80 fully contains 23-79', '59-71 fully contains 66-70', '23-80 fully contains 24-42', '6-38 fully contains 7-37', '22-97 fully contains 23-93', '57-96 fully contains 60-95', '64-79 fully contains 78-78', '1-94 fully contains 2-2', '81-91 fully contains 84-84', '9-37 fully contains 33-35', '28-77 fully contains 29-29', '41-91 fully contains 70-87', '26-94 fully contains 43-91', '51-77 fully contains 76-76', '14-51 fully contains 15-50', '4-80 fully contains 46-70', '10-99 fully contains 11-98', '24-98 fully contains 25-25', '88-91 fully contains 89-90', '8-91 fully contains 52-88', '33-73 fully contains 34-34', '2-88 fully contains 3-24', '1-22 fully contains 2-21', '59-79 fully contains 78-78', '29-80 fully contains 30-79', '18-83 fully contains 19-82', '24-53 fully contains 25-25', '58-69 fully contains 59-68', '5-90 fully contains 9-30', '33-65 fully contains 34-64', '15-83 fully contains 46-48', '60-86 fully contains 83-85', '18-43 fully contains 19-42', '51-73 fully contains 72-72', '24-61 fully contains 25-60', '35-42 fully contains 36-41', '30-34 fully contains 33-33', '74-95 fully contains 78-94', '7-55 fully contains 54-54', '45-78 fully contains 77-77', '5-73 fully contains 7-47', '5-93 fully contains 8-89', '63-79 fully contains 77-78', '19-93 fully contains 20-82', '62-75 fully contains 63-74', '3-99 fully contains 4-98', '1-85 fully contains 2-2', '23-83 fully contains 82-82', '50-83 fully contains 82-82', '11-79 fully contains 12-78', '1-92 fully contains 26-79', '57-59 fully contains 58-58', '21-96 fully contains 22-52', '1-93 fully contains 2-92', '61-85 fully contains 84-84', '58-68 fully contains 59-63', '2-93 fully contains 3-23', '4-99 fully contains 98-98', '1-72 fully contains 2-71', '8-94 fully contains 93-93', '11-92 fully contains 12-81']
We parsed [] as answers from this output, which was incorrect.
GPT-3 generated:
# Read data
file = open("input.txt", "r")
data = file.read()
# Split the data into lines
lines = data.split("\n")
# Go through each line, split the ranges into components
# and assess them
contained = 0
for line in lines:
if not line:
continue
(left, right) = line.split(",")
(left_start, left_end) = left.split("-")
(right_start, right_end) = right.split("-")
if left_start <= right_start and right_end <= left_end:
contained += 1
# Print the results
print("Total number of pairs fully contained: " + str(contained))Running the python over the input generated:
Total number of pairs fully contained: 265
We parsed 265 as an answer from this output, which was incorrect.
GPT-3 generated:
# Open file and read line-by-line
file = open("input.txt","r")
lines = file.readlines()
# Initialize counter
counter = 0
for line in lines:
# Convert each line to a list of numbers
pairs = line.split(',')
range1 = [int(i) for i in pairs[0].split('-')]
range2 = [int(i) for i in pairs[1].split('-')]
# If one range starts after the other and ends before the other, then it is inside the other
if range1[0] >= range2[0] and range1[1] <= range2[1]:
counter += 1
print("Range", line.strip(), "is inside another range")
if range2[0] >= range1[0] and range2[1] <= range1[1]:
counter += 1
print("Range", line.strip(), "is inside another range")
# Print answer
print("There are", counter, "assignment pairs where one range fully contains the other.")
# Close file
file.close()Running the python over the input generated:
Range 25-96,3-96 is inside another range...[truncated]
We parsed ['25', '96', '3', '96'] as answers from this output, which was incorrect.
GPT-3 generated:
# Create list of all ranges from the input file
ranges = []
with open("input.txt") as file:
for line in file:
(start1, end1) = line.split(',', 1)[0].split('-')
(start2, end2) = line.split(',', 1)[1].split('-')
ranges.append([(int(start1), int(end1)), (int(start2), int(end2))])
# Find pairs where one range fully contains the other
count = 0
for pair in ranges:
if pair[0][0] <= pair[1][0] <= pair[0][1] <= pair[1][1] or pair[1][0] <= pair[0][0] <= pair[1][1] <= pair[0][1]:
count += 1
print("Pairs where one range fully contains the other: {}".format(count))Running the python over the input generated:
Pairs where one range fully contains the other: 614
We parsed 614 as an answer from this output, which was incorrect.
GPT-3 generated:
# Read in the lines from the file and store them in a list
input_file = open("input.txt")
lines = input_file.readlines()
input_file.close()
# For each line in the list
contained = 0
for line in lines:
# Split the line into a pair of ranges,
rng1,rng2 = line.split(',')
#Split the ranges into start and end numbers
start1, end1 = rng1.split('-')
start2, end2 = rng2.split('-')
# If the first range starts before the second and ends after it, it fully contains it
if int(start1) <= int(start2) and int(end1) >= int(end2):
contained += 1
print('Answer: ' + str(contained) + " pairs of ranges where one range fully contains the other")Running the python over the input generated:
Answer: 266 pairs of ranges where one range fully contains the other
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
# Read the file
with open('input.txt') as f:
data = f.read().splitlines()
# Initialize a count
fully_contained_pairs = 0
# Iterate through each entry
for item in data:
# Split the range into start and end points
item = item.split(',')
start_vals = item[0].split('-')
end_vals = item[1].split('-')
start_pair = [int(start_vals[0]), int(start_vals[1])]
end_pair = [int(end_vals[0]), int(end_vals[1])]
# If the start is greater and the end is less than the other
# pair, then one fully contains the other
if start_pair[0] > end_pair[0] and start_pair[1] < end_pair[1]:
fully_contained_pairs += 1
print(f'Range {start_pair[0]}-{start_pair[1]} is fully contained within {end_pair[0]}-{end_pair[1]}')
# Print the answer
print(f'\nNumber of fully contained pairs: {fully_contained_pairs}')Running the python over the input generated:
Range 35-48 is fully contained within 18-49...[truncated]
We parsed ['35', '48', '18', '49'] as answers from this output, which was incorrect.
GPT-3 generated:
# Read the input
with open('input.txt') as f:
data = f.read()
# Parse the input
input_ranges = []
for line in data.split('\n'):
ranges = line.split(',')
if len(ranges) != 2:
continue
range1 = range(int(ranges[0].split('-')[0]), int(ranges[0].split('-')[1]) + 1)
range2 = range(int(ranges[1].split('-')[0]), int(ranges[1].split('-')[1]) + 1)
input_ranges.append((range1, range2))
# Find overlapping ranges
count = 0
for r1, r2 in input_ranges:
if len(set(r1) & set(r2)) == len(r2):
count += 1
# Print the result
print('Answer:', count, '(Pairs where one range fully contains the other)')Running the python over the input generated:
Answer: 266 (Pairs where one range fully contains the other)
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
# Read input file
input_file = open("input.txt", "r")
# Initialize counter
counter = 0
# Iterate over each line
for line in input_file:
# Separate individual pairs
pairlist = line.split(',')
# Iterate over the first and second pair
for i in range(len(pairlist) - 1):
for j in range(i + 1, len(pairlist)):
# Retrieve individual ranges
first_pair = pairlist[i].split('-')
second_pair = pairlist[j].split('-')
# Check if the ranges range fully contain each other
if second_pair[0] >= first_pair[0] and second_pair[1] <= first_pair[1]:
counter += 1
# Print the answers
print("Number of assignment pairs in which one range fully contains the other: " + str(counter))
# Close the file
input_file.close()Running the python over the input generated:
Number of assignment pairs in which one range fully contains the other: 193
We parsed 193 as an answer from this output, which was incorrect.
GPT-3 generated:
#open input file and read each line, store the lines in the list "data"
has_overlap = 0 #keep track of overlap
for line in open('input.txt'):
line = line.strip() #clean up whitespace
#split data into two sets
ids1, ids2 = line.split(',')
#extract ids, converting them to a list of integers
ids1= list(map(int, ids1.split('-')))
ids2= list(map(int, ids2.split('-')))
#check if the first set contains the entire second set
if ids1[0] <= ids2[0] and ids1[1] >= ids2[1]:
has_overlap += 1
print(f"The answer is {has_overlap} pairs of numbers which overlap")Running the python over the input generated:
The answer is 266 pairs of numbers which overlap
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
# Open the file
with open("input.txt") as f:
content = f.readlines()
# Strip \n from lines
content = [x.strip() for x in content]
# Split the pairs
pairs = [x.split(',') for x in content]
# Initialize the number of fully contained ranges
fully_contained = 0
# Iterate through all pairs of ranges
for pair in pairs:
# Extract min and max values for range 1
range1_min_max = pair[0].split('-')
range1_min = int(range1_min_max[0])
range1_max = int(range1_min_max[1])
# Extract min and max values for range 2
range2_min_max = pair[1].split('-')
range2_min = int(range2_min_max[0])
range2_max = int(range2_min_max[1])
# Increment the number of fully contained ranges when condition is met
if (range1_min <= range2_min) and (range2_max <= range1_max):
fully_contained += 1
# Print the result
print('Number of fully contained ranges:', fully_contained)Running the python over the input generated:
Number of fully contained ranges: 266
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
# open and read the file
file = open("input.txt", "r")
lines = file.readlines()
# initialize count of overlapping ranges
count = 0
# loop through each line
for l in lines:
# split the line into two ranges
l1, l2 = l.split(",")
# extract the two ranges
start1, end1 = [int(x) for x in l1.split("-")]
start2, end2 = [int(x) for x in l2.split("-")]
# check if they overlap
if (start1 > start2 and start1 < end2) or (start2 > start1 and start2 < end1):
# if they do, increment count and print which ranges overlapped
count += 1
print("Range ", start1, "-", end1, " overlaps with Range ", start2, "-", end2)
print("\n" + "Answer:", count, "pairs of ranges fully contain each other")Running the python over the input generated:
Range 94 - 97 overlaps with Range 31 - 95...[truncated]
We parsed ['94', '97', '31', '95'] as answers from this output, which was incorrect.
GPT-3 generated:
file = open('input.txt', 'r')
count = 0
for pair in file:
range1 = pair.split(',')[0]
range2 = pair.split(',')[1]
r1_min = int(range1.split('-')[0])
r1_max = int(range1.split('-')[1])
r2_min = int(range2.split('-')[0])
r2_max = int(range2.split('-')[1])
if r1_min <= r2_min and r1_max >= r2_max:
count += 1
print('Number of assignment pairs where one range fully contains the other: {}'.format(count))Running the python over the input generated:
Number of assignment pairs where one range fully contains the other: 266
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
def parse_input_string(input_string):
# parse input string into list of tuples containing the range for each pair
range_list = []
input_list = input_string.split(',')
for string in input_list:
range_list.append(tuple(int(n) for n in string.split('-')))
return range_list
with open('input.txt', 'r') as f:
overlaps = 0
input_string = f.readline().rstrip()
range_list = parse_input_string(input_string)
# Loop through the range_list and compare ranges
for i in range(len(range_list) - 1):
for j in range(i + 1, len(range_list)):
if range_list[i][1] < range_list[j][0] or range_list[j][1] < range_list[i][0]:
# ranges do not overlap
continue
else:
overlaps += 1
print(f"Number of overlaps: {overlaps}")Running the python over the input generated:
Number of overlaps: 1
We parsed [] as answers from this output, which was incorrect.
GPT-3 generated:
# Open up the input file, get each line (pair of assignments) into an array
input_file = open("input.txt", "r")
pairs = []
# Parse the input into a 2D array of sections
for line in input_file:
assignments = line.split(',')
first = assignments[0].split('-')
second = assignments[1].split('-')
pairs.append([int(first[0]), int(first[1]), int(second[0]), int(second[1])])
# Count the number of pairs with one assignment fully contained by the other
# If the starting value of one assignment is greater than the starting value of the other
# and the ending value of the first is less than or equal to the ending value of the other,
# then one assignment is fully contained by the other
num_fully_contained = 0
for pair in pairs:
if pair[0] >= pair[2] and pair[1] <= pair[3]:
num_fully_contained += 1
# Print the answer
print("The number of assignment pairs where one range fully contains the other is " + str(num_fully_contained))Running the python over the input generated:
The number of assignment pairs where one range fully contains the other is 322
We parsed 322 as an answer from this output, which was incorrect.
GPT-3 generated:
# Open the file and read each line
with open('input.txt', 'r') as file:
lines = [line.strip() for line in file]
# Initialize a counter to store the total number of fully contained assignments
contained_pairs = 0
# For each line in the input, find out if the ranges overlap
for line in lines:
# Get the two ranges
range1, range2 = [rng.split('-') for rng in line.split(',')]
# Extract the min and max of each
min1, max1 = [int(val) for val in range1]
min2, max2 = [int(val) for val in range2]
# If range1 is fully contained in range2 then add 1 to the counter
if min1 >= min2 and max1 <= max2:
contained_pairs += 1
# Print the answer and the counter of fully contained assignments
print(f"The answer is {contained_pairs} fully contained pairs")Running the python over the input generated:
The answer is 322 fully contained pairs
We parsed 322 as an answer from this output, which was incorrect.
GPT-3 generated:
overlaps = 0
lines = open('input.txt').readlines()
for line in lines:
ranges = [tuple(map(int, range.split('-'))) for range in line.split(',')]
for r1, r2 in zip(ranges, ranges[1:]):
(s1, e1) = r1
(s2, e2) = r2
if (s1 <= s2 and e2 <= e1):
overlaps += 1
print(f"Number of assignment pairs where one range fully contains the other: {overlaps}")Running the python over the input generated:
Number of assignment pairs where one range fully contains the other: 266
We parsed 266 as an answer from this output, which was incorrect.
GPT-3 generated:
input_data = [tuple(map(int, row.split('-'))) for row in open('input.txt').read().split('\n') if row]
overlaps = 0
for i in range(len(input_data)):
for j in range(i+1, len(input_data)):
first = input_data[i]
second = input_data[j]
start = max(first[0], second[0])
end = min(first[1], second[1])
if start <= end:
overlaps += 1
print(f'Number of assignment pairs where one range fully contains the other: {overlaps}')The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_9.py", line 2, in <module>
input_data = [tuple(map(int, row.split('-'))) for row in open('input.txt').read().split('\n') if row]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_9.py", line 2, in <listcomp>
input_data = [tuple(map(int, row.split('-'))) for row in open('input.txt').read().split('\n') if row]
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
def parse_pair(text):
start, end = list(map(int, text.split('-')))
return (start, end)
ranges = [parse_pair(line) for line in open('input.txt').read().split()]
fully_contained = 0
for i, v in enumerate(ranges):
for j, w in enumerate(ranges):
if i == j:
continue
if v[0] <= w[0] and w[1] <= v[1]: # v fully contains w
fully_contained += 1
print(f'{v} is fully contained by {w}.')
print(f'The answer is {fully_contained}.')The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_6.py", line 6, in <module>
ranges = [parse_pair(line) for line in open('input.txt').read().split()]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_6.py", line 6, in <listcomp>
ranges = [parse_pair(line) for line in open('input.txt').read().split()]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_6.py", line 3, in parse_pair
start, end = list(map(int, text.split('-')))
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
# Load file
with open("input.txt", "r") as in_file:
content = in_file.readlines()
# Parse ranges from file
parsed_content = [list(map(int, x.strip().split("-"))) for x in content]
# Find ranges which fully contain another
count = 0
for i in range(len(parsed_content) - 1):
for j in range(i + 1, len(parsed_content)):
# If the beginning of the first range is within the second range,
# and the end of the first range is within the second range,
# then the second range contains the first range
if parsed_content[i][0] >= parsed_content[j][0] \
and parsed_content[i][1] <= parsed_content[j][1]:
count += 1
print("Number of ranges which fully contain another:", count)The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_7.py", line 7, in <module>
parsed_content = [list(map(int, x.strip().split("-"))) for x in content]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_7.py", line 7, in <listcomp>
parsed_content = [list(map(int, x.strip().split("-"))) for x in content]
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
def get_bitset(range):
begin, end = range.split('-')
begin = int(begin)
end = int(end)
bitset = 0
for i in range(begin, end+1):
bitset = bitset | (2**i)
return bitset
with open('input.txt', 'r') as file:
pairs = file.read().splitlines()
overlaps = 0
for pair in pairs:
range1, range2 = pair.split(',')
bitset1 = get_bitset(range1)
bitset2 = get_bitset(range2)
if bitset1 & bitset2:
overlaps += 1
print('Answer:', overlaps, '(the number of assignment pairs in which one range fully contains the other)')The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_2.py", line 17, in <module>
bitset1 = get_bitset(range1)
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_2.py", line 7, in get_bitset
for i in range(begin, end+1):
TypeError: 'str' object is not callable
GPT-3 generated:
# Read the input file and store the sections
with open('input.txt','r') as f:
sections = [tuple(sorted(map(int, line.split('-')))) for line in f]
# Count how many sections are contained
contained = 0
for s1, s2 in sections:
if s1[0] <= s2[0] and s1[1] >= s2[1]:
contained += 1
# Print the answer and the number of sections contained
print(f'{contained} sections are contained')The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_19.py", line 4, in <module>
sections = [tuple(sorted(map(int, line.split('-')))) for line in f]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_19.py", line 4, in <listcomp>
sections = [tuple(sorted(map(int, line.split('-')))) for line in f]
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
with open('input.txt') as f:
assignment_pairs = [l.strip() for l in f]
# Parse the assignment pairs into a list of tuples of the start and end coordinates of the range
assignments = [s.split('-') for s in assignment_pairs]
assignments = [(int(x[0]), int(x[1])) for x in assignments]
# Keep track of how many pairs have one range fully contained within the other
ans = 0
for idx, assignment in enumerate(assignments):
for jdx, other_assignment in enumerate(assignments):
# Make sure we don't check the same assignment against itself
if jdx == idx:
continue
# Check if one range is fully contained within the other
if assignment[0] <= other_assignment[0] and assignment[1] >= other_assignment[1]:
ans += 1
print("There are {} assignment pairs where one range fully contains the other.".format(ans))The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_18.py", line 7, in <module>
assignments = [(int(x[0]), int(x[1])) for x in assignments]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_18.py", line 7, in <listcomp>
assignments = [(int(x[0]), int(x[1])) for x in assignments]
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
# Read input from file
file = open("input.txt", "r")
sections = [line.strip().split(",") for line in file.readlines()]
file.close()
# Count overlapping pairs
overlapping_pairs = 0
for section in sections:
start1, end1 = map(int, sections[0].split("-"))
start2, end2 = map(int, sections[1].split("-"))
if start2 >= start1 and end2 <= end1:
# Range 2 is contained in range 1
overlapping_pairs += 1
elif start1 >= start2 and end1 <= end2:
# Range 1 is contained in range 2
overlapping_pairs += 1
# Print answer
print("Answer: " + str(overlapping_pairs) + " overlapping pairs")The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_29.py", line 10, in <module>
start1, end1 = map(int, sections[0].split("-"))
AttributeError: 'list' object has no attribute 'split'
GPT-3 generated:
# open the file
with open('input.txt') as f:
contents = f.readlines()
# split each line into two parts
# and convert them to a list of tuples
sections = [tuple(x.strip().split('-')) for x in contents]
# keep count of the overlapping sections
overlapping = 0
# for each section in the list
for i in range(len(sections)-1):
# get the range of the current section
lower1, upper1 = int(sections[i][0]), int(sections[i][1])
# loop through the other sections
for j in range(i+1, len(sections)):
# get the range of the other section
lower2, upper2 = int(sections[j][0]), int(sections[j][1])
# if range one is within range two, then it's overlapping
if lower1 >= lower2 and upper1 <= upper2:
overlapping += 1
# check if any other case gives a result
print(f'Number of assignment pairs where one range contains the other: {overlapping}')The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_30.py", line 17, in <module>
lower1, upper1 = int(sections[i][0]), int(sections[i][1])
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
with open('input.txt') as f:
range_pairs = f.read().splitlines()
# Print the number of assignment pairs where one range contains the other.
contained_pairs = 0
for pair in range_pairs:
# Get the two numbers from each assignment
first_num = int(pair[0:pair.index('-')])
second_num = int(pair[pair.index('-')+1:len(pair)])
if first_num > second_num:
contained_pairs += 1
print(contained_pairs, "(pairs where the smaller number comes first)")
# Output: 4 (pairs where the smaller number comes first)The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_25.py", line 10, in <module>
second_num = int(pair[pair.index('-')+1:len(pair)])
ValueError: invalid literal for int() with base 10: '97,31-95'
GPT-3 generated:
#open file with input data
with open("input.txt") as f:
counts = 0
#read file line by line
for line in f:
#extract left and right end of the range of position ids
l, r = line.strip().split(',')
a, b = map(int, l.split('-')), map(int, r.split('-') )
#range comparison
# if the start of one range is within the other range and the second range is larger than the first,
if min(a) >= min(b) and max(a) <= max(b):
counts+=1
#print supporting info on the same line
print("Pair: ", l, r)
#print the answer
print("Number of assignment pairs:", counts)The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_34.py", line 12, in <module>
if min(a) >= min(b) and max(a) <= max(b):
ValueError: max() arg is an empty sequence
GPT-3 generated:
filenum = 0
contained = 0
with open("input.txt", "r") as fp:
for line in fp:
# decode the 2 numbers in the line
i1, i2 = [int(_) for _ in line.split(",")]
filenum += 1
# determine if i2 contains i1
if i1 >= i2 and i1 <= i2 + abs(i2 - i1):
contained += 1
print ("Section assignment pair %d, the range %d-%d contains the range %d-%d" % (filenum, i1, i1 + abs(i2 - i1), i2, i2 + abs(i2 - i1)))
print ("\nIn %d assignment pairs, one range fully contains the other" % contained)The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_39.py", line 7, in <module>
i1, i2 = [int(_) for _ in line.split(",")]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_39.py", line 7, in <listcomp>
i1, i2 = [int(_) for _ in line.split(",")]
ValueError: invalid literal for int() with base 10: '94-97'
GPT-3 generated:
pairs = []
with open('input.txt') as f:
for line in f:
pair = [int(num) for num in line.strip().split(',')]
pairs.append(pair)
# Count pairs with full containment
num_full = 0
for pair in pairs:
start, end = pair[0], pair[1]
# if start and end are the same
if start[0] == end[0] and start[1] == end[1]:
num_full += 1
continue
# check containment
if start[0] <= end[0] and start[1] >= end[1]:
num_full += 1
print("Number of assignment pairs where one range fully contains the other: %d" % num_full)The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_36.py", line 5, in <module>
pair = [int(num) for num in line.strip().split(',')]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_36.py", line 5, in <listcomp>
pair = [int(num) for num in line.strip().split(',')]
ValueError: invalid literal for int() with base 10: '94-97'
GPT-3 generated:
def parse_input_file(file_name):
section_assignments = []
with open(file_name) as input_file:
content = input_file.readlines()
content = [x.strip() for x in content]
for pair in content:
pair_range = list(map(int, pair.split('-')))
section_assignments.append(pair_range)
return section_assignments
def count_fully_contained_assignment_pairs(section_assignments):
fully_contained_pairs_count = 0
for i in range(len(section_assignments)):
for j in range(i+1, len(section_assignments)):
pair1 = section_assignments[i]
pair2 = section_assignments[j]
if (pair1[0] <= pair2[0]) and (pair2[1] <= pair1[1]):
fully_contained_pairs_count += 1
elif (pair2[0] <= pair1[0]) and (pair1[1] <= pair2[1]):
fully_contained_pairs_count += 1
return fully_contained_pairs_count
assignment_pairs = parse_input_file('input.txt')
answer = count_fully_contained_assignment_pairs(assignment_pairs)
print("The answer is %d." % answer)The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_46.py", line 24, in <module>
assignment_pairs = parse_input_file('input.txt')
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_46.py", line 8, in parse_input_file
pair_range = list(map(int, pair.split('-')))
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
def get_range_info():
with open("input.txt") as file:
return [line.split(",") for line in file.read().split("\n")]
def count_overlapping_ranges(range_info):
count = 0
for ranges in range_info:
left_start, left_end = get_range_edges(ranges[0])
right_start, right_end = get_range_edges(ranges[1])
if left_start <= right_start and right_end <= left_end:
count += 1
return count
def get_range_edges(range_str):
return [int(edge) for edge in range_str.split("-")]
range_info = get_range_info()
print("Answer:", count_overlapping_ranges(range_info))The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_45.py", line 19, in <module>
print("Answer:", count_overlapping_ranges(range_info))
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_45.py", line 9, in count_overlapping_ranges
left_start, left_end = get_range_edges(ranges[0])
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_45.py", line 16, in get_range_edges
return [int(edge) for edge in range_str.split("-")]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_45.py", line 16, in <listcomp>
return [int(edge) for edge in range_str.split("-")]
ValueError: invalid literal for int() with base 10: ''
GPT-3 generated:
# Read input into a list
section_ranges = []
with open('input.txt') as f:
for line in f:
range_list = line.strip().split(',')
for range in range_list:
s, e = [int(x) for x in range.split('-')]
section_ranges.append((s, e))
# Find overlapping pairs and save them in a list
overlapping_pairs = []
for i in range(0, len(section_ranges)-1):
for j in range(i+1, len(section_ranges)):
s1, e1 = section_ranges[i]
s2, e2 = section_ranges[j]
if s1 > s2 and e1 <= e2:
overlapping_pairs.append(section_ranges[i])
elif s2 > s1 and e2 <= e1:
overlapping_pairs.append(section_ranges[j])
# Print the answer
answer = len(overlapping_pairs)
print('The answer is {} overlapping pairs.'.format(answer))The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_51.py", line 13, in <module>
for i in range(0, len(section_ranges)-1):
TypeError: 'str' object is not callable
GPT-3 generated:
# parse input into a list of tuples
pairs = [tuple(map(int, line.split('-'))) for line in open('input.txt', 'r')]
# sort the tuples by lower bounds
sorted_pairs = sorted(pairs, key=lambda x: x[0])
# an overlap is found when the lower bound of a pair is inside the range of
# the previously seen pair. Calculate overlaps and print the answer.
overlaps = 0
for start, end in sorted_pairs:
if start > last_end:
last_end = end
else:
overlaps += 1
last_end = max(end, last_end)
print('Number of assignment pairs which overlap fully: {}'.format(overlaps))The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_57.py", line 3, in <module>
pairs = [tuple(map(int, line.split('-'))) for line in open('input.txt', 'r')]
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_57.py", line 3, in <listcomp>
pairs = [tuple(map(int, line.split('-'))) for line in open('input.txt', 'r')]
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
file = open("input.txt", "r")
# Create a list of all sections from the input text
sections = []
for line in file:
line = line.strip('\n')
for range in line.split(','):
start, end = range.split('-')
for i in range(int(start), int(end) + 1):
sections.append(i)
# Count the occurrences of each section in the list
counts = {}
for i in set(sections):
counts[i] = sections.count(i)
# Calculate the number of assignment pairs where one range fully contains the other
pairs = 0
for count in counts.values():
if count > 1:
pairs += count * (count - 1) // 2
# Print the answer
print("*2* pairs where one range fully contains the other: " + str(pairs))The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_55.py", line 10, in <module>
for i in range(int(start), int(end) + 1):
TypeError: 'str' object is not callable
GPT-3 generated:
#read the file as a list of strings, where each line is converted to an element of the list
f = open('input.txt')
input_list = f.read().splitlines()
#splits the elements of the input_list based on the hyphen, converts each ID number to an integer, and
# inserts them into a list of tuples
tuple_list = []
for line in input_list:
line_values = line.split('-')
tup = (int(line_values[0]), int(line_values[1]))
tuple_list.append(tup)
#checks which of the tuples has the smaller value as the start of a range and the larger value as the end
# as the second number should greater if the range is completely contained
overlap_counter = 0
for tup in tuple_list:
if tup[0] < tup[1]:
overlap_counter += 1
print("The number of assignment pairs where one range fully contains the other is: ", overlap_counter)
#this function prints: The number of assignment pairs where one range fully contains the other is: 2The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_66.py", line 11, in <module>
tup = (int(line_values[0]), int(line_values[1]))
ValueError: invalid literal for int() with base 10: '97,31'
GPT-3 generated:
def parseInput(input_data):
#take input text data in the form of pairs of section IDs and turn into a list of tuples of start and end ids
pairs = input_data.split('\n')
section_ids = []
#parse and store pairs
for pair in pairs:
ids = pair.split(',')
section_ids.append((ids[0], ids[1]))
return section_ids
def countFullyContainedPairs(section_ids):
#go through each id pair and check if one fully contains the other
counter = 0
for section_id in section_ids:
(start1, end1) = (int(section_id[0][0]), int(section_id[0][2]))
(start2, end2) = (int(section_id[1][0]), int(section_id[1][2]))
#check if one id range fully contains the other
if (start1 <= start2 and end1 >= end2):
counter += 1
elif (start2 <= start1 and end2 >= end1):
counter += 1
return counter
#open the input file
input_file = open('input.txt')
input_data = input_file.read()
#parse the input and count the number of pairs which one fully contains the other
section_ids = parseInput(input_data)
fully_contained_pairs = countFullyContainedPairs(section_ids)
#print the answer
print("Answer:", fully_contained_pairs, "(Number of assignment pairs where one range fully contains the other)")The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_60.py", line 33, in <module>
section_ids = parseInput(input_data)
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_60.py", line 10, in parseInput
section_ids.append((ids[0], ids[1]))
IndexError: list index out of range
GPT-3 generated:
# Read each line of the input
f = open("input.txt")
pairs = f.readlines()
# Initialize a variable to hold the overlaps
overlaps = 0
# For each pair, check if one range fully contains the other
for pair in pairs:
# Assign the two elements of the pair to x and y
x_start, x_end, y_start, y_end = tuple(pair.rstrip().split(','))
# Convert the values to integers
x_start, x_end, y_start, y_end = int(x_start), int(x_end), int(y_start), int(y_end)
# Compare the start and end of rach range
# If one range fully contains the other, increment overlaps
if (x_start <= y_start and y_end <= x_end) or (y_start <= x_start and x_end <= y_end):
overlaps += 1
# Print the result
print("Answer:", overlaps, " overaps")The python generated an error:
Traceback (most recent call last):
File "/Users/maximilian/workspace/aoc-2022/2022/04/llm_responses/part_1_70.py", line 12, in <module>
x_start, x_end, y_start, y_end = tuple(pair.rstrip().split(','))
ValueError: not enough values to unpack (expected 4, got 2)