anchor.diff:  
   * For either section, set the column number to be considered equal to the value, or values, to be matched (comma separated).
   
  -In our pirate-words.csv example, the third column classifies each entry as being either a "word", "phrase" or "name". Let's say that we only want DupSeeker to look for duplicates among the "word" entries. We can use an [Include] section that says to only include lines where column 3 equals "word". Alternately, we could use an [Exclude] section that says to exclude lines where column 3 equals either "phrase" or "name". That will accomplish the same thing, in this case.
  +In our pirate-words.csv example, the fourth column classifies each entry as being either a "word", "phrase", "name", or "title". Let's say that we only want DupSeeker to look for duplicates among the "word" and "phrase" entries. We can use an [Include] section that says to only include lines where column 4 equals "word,phrase". Alternately, we could use an [Exclude] section that says to exclude lines where column 4 equals either "name" or "title". That will accomplish the same thing, in this case.
   
  
positive.code: 
  For example, the pirate-words.csv file in the examples folder lists the word "mutiny" on line 12 and again on line 37. This utility will find that redundancy (among others).
  
  The pirate-words.csv file is a trivial example; however, this tool was designed to handle files with millions of records. The idea is that this tool is used as a first step towards further analysis in Excel, or whatever. Where Excel might choke on trying to process a 5-million record file, if that file is first filtered down to just a few hundred thousand records (the ones with the dups), then Excel can more easily process that.
  
  
  == Command-Line Flags
  
  .Command-Line Flags
  [width="100%",cols="1,8",options="header"]
  |===
  | Flag | Argument | Meaning
  | `-f `| name of the input file(s) | May include wildcards.
  
negative.code: 	PrependFileName=Y
  	PrependLineNumber=Y
  
  	[Include]
  	1=D
  
  	[Exclude]
  	4=name,title
  
  Lines that begin with a semicolon are ignored as comments.
  
  