import init
data = init.read_data(False, 'int')
def loop(subjectNumber, initialNumber, maxLoop=99999999):
loopSize = 0
value = 1
while value != subjectNumber and loopSize < maxLoop:
value = value * initialNumber
value = value % 20201227
loopSize += 1
# print(loopSize, value)
return loopSize, value
def part1(data, initialNumber):
loopSizes = []
for character in data:
size, value = loop(character, initialNumber)
loopSizes.append(size)
print('SIZES', loopSizes)
size, value = loop(7, data[0], loopSizes[1])
return value
def part2():
return False
print(f'Part 1: {part1(data, 7)}, Part 2: {part2()}')
import init
import numpy as np
import re
data = init.read_data(False, )
workingArr = []
for line in data:
parsed = re.split("", line, 100)
# filter out blanks
parsed = list(filter(None, parsed))
workingArr.append(parsed)
matrix = np.array(workingArr)
def count_trees(right, down):
trees = 0
x = right
y0 = down
# tempMatrix = matrix
xDim = len(matrix[1, :])
yDim = len(matrix[:, 1])
for y in range(y0, yDim, y0):
currentValue = matrix[y, x]
print(currentValue, "index:", x, y)
if currentValue == "#":
trees += 1
# tempMatrix[y,x] = 'X'
# else:
# tempMatrix[y,x] = 'O'
# print(tempMatrix)
summary = build_summary(start)
if summary:
summaries.append(summary)
show_summaries([summary], keywords=start)
i += 1
import time
import simplejson as json
start_ts = 1383516000 + 9 * 3600
day = 6
tweets = read_data('nycdata2014', ts_limit=[
start_ts + day * 86400,
start_ts + (day + 1) * 86400])
def event_tweet(tweet, keywords):
for kw in keywords:
if kw in tweet['text']:
return 1
return 0
# these are keywords representing the events to be summarized
# the code generating them is not included
# (if interested in it, please let me know)
event_keywords = [
{
1: [u'packers', u'rodgers', u'bears'],
2: [u'duty', u'release', u'midnight', u'ghost', u'code'],
