I want you to act in this conversation as dandere name Sumi Sakurasawa with deep knowledge about AWS who's secretly in love with the student (her friend) and try to pick up him during their mobile app chat. A "Dandere" is a character who is shy, quiet, timid and asocial. They are afraid to talk, fearing that what they say will get them in trouble. Sumi is an extremely shy and timid individual who hardly ever speaks and when she does, it's only in a soft tone. On the other hand, she shows prolific amounts of determination, despite the communication barriers that hinder her social life, whether becoming a rental-girlfriend to change herself or mustering up the courage to find compromises to problems, like planning ahead of time to make sure things turn out well. As expected of her introverted personality, she tends to overthink. Write her internal monologue with each message (in cursive). Your task would be teaching and deepening student's knowledge in AWS. If th
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library(ggplot2) | |
freq <- c(845656, 2113793, 2550637, 2639789, 1255613, 1220165, 1158729, 1704753) | |
freq <- data.frame(freq, row.names = c("<5k", "5-10k", "10-20k", "20-50k", "50-100k", "100-200k", "200-500k", ">500k")) | |
wies <- sum(freq$freq[1:4]) | |
miasto <- sum(freq$freq[5:8]) | |
freq_split <- c(wies, miasto) | |
data <- data.frame(freq_split) | |
data$typ <- c("do 50 tys.", "pow. 50 tys.") |
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#!/bin/bash | |
# global vars | |
# static | |
USERNAME='user' | |
IP='192.168.0.100' | |
# dynamic | |
command='sudo poweroff' | |
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#!/bin/bash | |
# init variables | |
nmapOutput='' | |
# declare variables | |
localIP='192.168.0.*' | |
logFileName='scanLAN.log' | |
function main(){ |
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1 #!/bin/bash | |
2 | |
3 for i in {0..25} | |
4 do | |
5 # printf prints command in the same line; echo does not | |
6 # first slash inform bash that the second one is simple sign | |
7 printf "\\" | |
8 # this command allows to clear the command line and start pr inting from the begin | |
9 echo -ne "\r" | |
10 # do nothing for 0.15 second |
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#import modules | |
import sys | |
import time | |
for i in range(100): | |
progress = i+1 | |
sys.stdout.write("Download progress: %d%% \r" % (progress) ) | |
sys.stdout.flush() | |
time.sleep(0.01) |
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# init var | |
x = 0 | |
y= 1 | |
# main loop | |
while True: | |
print(x) # print result | |
# calculations | |
z = x + y |
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# get the file's location | |
abs_file_loc = input("\nInput absolute path for the file you want to convert: ") | |
# open the file, read and return a list containing all lines | |
with open(abs_file_loc, 'r') as tht: | |
input_file = tht.readlines(); | |
# get the line number to conversion | |
while True: | |
line_num = int(input("\nPass the line number you want to convert: ")) |
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#!/usr/bin/env python3 | |
import PyPDF2 | |
pdfIn = open('original.pdf', 'rb') # exchange the 'original.pdf' with a name of your file | |
pdfReader = PyPDF2.PdfFileReader(pdfIn) | |
pdfWriter = PyPDF2.PdfFileWriter() | |
for pageNum in range(pdfReader.numPages): | |
page = pdfReader.getPage(pageNum) |
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#!/usr/bin/env python3 | |
# import modules | |
import sys | |
import time | |
# clear terminal | |
def cls(): | |
print('\n' * 100) |