View difference between Paste ID: NSLpSShc and sAq3HLSG

 #!/bin/bash
 
 now=$(date +"%Y_%m_%d_-_%H_%M_%S" ) # Just setting the date and time
 
 echo "Now pointing the BFTG-9000 at $1"
 gzip -d ~/dox/twitter/timelines/$1.gz 2> /dev/null
 usewithtor /usr/local/bin/twitter-archiver -o -f -s ~/dox/twitter/timelines $1
 gzip ~/dox/twitter/timelines/$1 2> /dev/null
 
 if [ -f ~/dox/twitter/timelines/$1.gz ] || [ -f ~/dox/twitter/timelines/$1 ]; then
 
     echo "Direct hit! Area damage coming in 3... 2... 1..."
 
     # This section pulls the mentions out of the chosen timeline, places them in a
     # file, formats them so that all the names are lowercase, sorts for uniqueness,
     # and finally removes the @ symbols. It also generates a simple report which
     # shows how many times the target mentioned each account, sorted from most to
     # least number of mentions.
 
     gunzip ~/dox/twitter/timelines/$1.gz 2> /dev/null
     grep -Eo ' @[A-Za-z0-9_]+' ~/dox/twitter/timelines/$1 > ~/dox/twitter/mentions/$1-raw
     tr '[:upper:]' '[:lower:]' < ~/dox/twitter/mentions/$1-raw >> ~/dox/twitter/mentions/$1-alpha
     sort ~/dox/twitter/mentions/$1-alpha | uniq -c > ~/dox/twitter/mentions/$1-mc-alpha
     awk '{print $2,$1}' ~/dox/twitter/mentions/$1-mc-alpha > ~/dox/twitter/mentions/$1-mc-beta
     sort -grk 2 ~/dox/twitter/mentions/$1-mc-beta > ~/dox/twitter/mentions/$1_mentions_count.txt
     sort -u ~/dox/twitter/mentions/$1-alpha > ~/dox/twitter/mentions/$1.full.txt
     totalMentions=$(wc -l ~/dox/twitter/mentions/$1.full.txt | awk '{print $1}')
     sort -u  ~/dox/twitter/mentions/$1.full.txt >  ~/dox/twitter/mentions/$1-beta
     sed -i 's/ @//g' ~/dox/twitter/mentions/$1-beta
     echo "BOOM! Now for the dust to settle..."
 
     # This section pulverizes the data left over from the previous section to
     # create a shell script which will crawl the accounts you don't already
     # have saved.
 
     ls ~/dox/twitter/timelines/ | sort -u > ~/dox/twitter/ls.txt
     sed -i 's/\.gz//'g ~/dox/twitter/ls.txt
     comm -13 ~/dox/twitter/ls.txt ~/dox/twitter/mentions/$1-beta > ~/dox/twitter/mentions/$1-rc 2> /dev/null
     uniqueMentions=$(wc -l ~/dox/twitter/mentions/$1-rc | awk '{print $1}')
     sed -i -e 's/^/~\/twit.sh /' ~/dox/twitter/mentions/$1-rc
     echo '#!/bin/bash' | cat - ~/dox/twitter/mentions/$1-rc > ~/dox/twitter/mentions/$1-rc.temp
     mv ~/dox/twitter/mentions/$1-rc.temp ~/dox/twitter/mentions_scripts/$1.sh
     #sed '0~11 s/$/\nsleep 900/g' < ~/dox/twitter/mentions/$1-rc > ~/dox/twitter/mentions_scripts/$1.sh # Seems to not be required anymore
     chmod +x ~/dox/twitter/mentions_scripts/$1.sh
     echo "OUCH! Nothing left but their shoes. You have to crawl $uniqueMentions out of $totalMentions accounts. $1 status: demolished, will not recover, etc."
     #rm -rf ~/dox/twitter/mentions/$1-*
     gzip ~/dox/twitter/timelines/$1 2> /dev/null
     echo "Timeline: ~/dox/twitter/timelines/$1"
     echo "Mentions script: ~/dox/twitter/mentions_scripts/$1.sh"
     echo "Time analysis: ~/dox/twitter/times/$1_$now.txt"
 
 else
 
     echo "Oh, fail."
 
 fi
 
 if [ -f ~/dox/twitter/timelines/$1 ]; then
 
     # The section will pull the timestamps from the last 200 tweets, then sort by
     # hour, and tell us how many times the target tweeted during each hour.
 
     echo "###########################################################################" > ~/dox/twitter/times/$1_$now.txt
     echo "# Hours/tweets for $1's last 200 tweets" >> ~/dox/twitter/times/$1_$now.txt
     echo "###########################################################################" >> ~/dox/twitter/times/$1_$now.txt
 
     tail -n 200 ~/dox/twitter/timelines/$1 > ~/dox/twitter/times/$1-tail
     awk '{print $3}' ~/dox/twitter/times/$1-tail > ~/dox/twitter/times/$1-tail-raw
     sed -i 's/:/ /g' ~/dox/twitter/times/$1-tail-raw
     awk '{print $1}' ~/dox/twitter/times/$1-tail-raw > ~/dox/twitter/times/$1-tail-beta
     sort ~/dox/twitter/times/$1-tail-beta | uniq -c | awk '{print $2,$1}' >> ~/dox/twitter/times/$1_$now.txt
 
     # This section does the same as the previous section, except it acts upon
     # the entire collected timeline.
 
     echo "###########################################################################" >> ~/dox/twitter/times/$1_$now.txt
     echo "# Hours/tweets for all of $1's stored tweets" >> ~/dox/twitter/times/$1_$now.txt
     echo "###########################################################################" >> ~/dox/twitter/times/$1_$now.txt
 
     awk '{print $3}' ~/dox/twitter/timelines/$1 > ~/dox/twitter/times/$1-raw
     sed -i 's/:/ /g' ~/dox/twitter/times/$1-raw
     awk '{print $1}' ~/dox/twitter/times/$1-raw > ~/dox/twitter/times/$1-beta
     sort ~/dox/twitter/times/$1-beta | uniq -c | awk '{print $2,$1}' >> ~/dox/twitter/times/$1_$now.txt
     rm -rf ~/dox/twitter/times/$1-*
 fi