How to use split_columns method of XinetdParser Package

Best Inspec_ruby code snippet using XinetdParser.split_columns

parser.rb

Source: parser.rb Github

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...144 cache_name_line = line145 # content line146 elsif !column_widths.nil? && !line.nil? && !line.chomp.empty?147 # default row148 port = split_columns(column_widths, line).to_a.map { |v| v.chomp.strip }149 # parse the header names150 # TODO: names should be optional151 names = split_columns(column_widths, cache_name_line).to_a.map { |v| v.chomp.strip.downcase.tr(" ", "-").gsub(/​[^\w-]/​, "_") }152 info = {153 "protocol" => protocol.downcase,154 }155 # generate hash for each line and use the names as keys156 names.each_index do |i|157 info[names[i]] = port[i] if i != 0158 end159 ports.push(info)160 end161 end162 ports163 end164 private165 # takes a line like "-------------------- -------------------- ----------"166 # as input and calculates the length of each column167 def columns(line)168 # find all columns169 m = line.scan(/​-+/​)170 # calculate the length each column171 m.map { |x| x.length } # rubocop:disable Style/​SymbolProc172 end173 # takes a line and the width of the columns to extract the values174 def split_columns(columns, line)175 # generate regex based on columns176 sep = '\\s'177 length = columns.length178 arr = columns.map.with_index do |x, i|179 reg = "(.{#{x}})#{sep}" # add seperator between columns180 reg = "(.{,#{x}})#{sep}" if i == length - 2 # make the pre-last one optional181 reg = "(.{,#{x}})" if i == length - 1 # use , to say max value182 reg183 end184 # extracts the columns185 line.match(Regexp.new(arr.join))186 end187end188# This parser for xinetd (extended Internet daemon) configuration files...

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split_columns

Using AI Code Generation

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1service = xinetd.getbservice(service_name)2puts xinetd.split_columns(service)3puts xinetdsplit_clmns(service, 4, 3, 40)4puts xinetd.split_columns(service, 4, 3, 40, 2, 2, 2)5puts xinetd.split_columns(service, 4, 3, 40, 2, 2, 2, 2)6puts xinetd.split_columns(service, 4, 3, 40, 2, 2, 2, 2, 2)7puts xinetd.split_columns(service, 4, 3, 40, 2, 2, 2, 2, 2, 2)8puts xinetd.split_columns(service, 4, 3, 40, 2, 2, 2, 2, 2, 2, 2)9puts xinetd.split_columns(service, 4, 3, 40, 2, 2, 2, 2, 2, 2, 2, 2)10puts xinetd.split_columns(service, 4, 3, 40

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split_columns

Using AI Code Generation

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1xinetd_obj.split_columns("/​etc/​xinetd.conf")2xinetd_obj.write("/​tmp/​1.txt")3xinetd_obj.write("/​tmp/​2.txt")4xinetd_obj.write("/​tmp/​3.txt")5xinetd_obj.write("/​tmp/​4.txt")6xinetd_obj.write("/​tmp/​5.txt")7xinetd_obj.write("/​tmp/​6.txt")8xinetd_obj.write("/​tmp/​7.txt")9xinetd_obj.write("/​tmp/​8.txt")10xinetd_obj.write("/​tmp/​9.txt")11xinetd_obj.write("/​tmp/​10.txt")

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split_columns

Using AI Code Generation

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1xinetd_obj.split_columns("/​etc/​xinetd.conf")2xinetd_obj.write("/​tmp/​1.txt")3xinetd_obj.write("/​tmp/​2.txt")4xinetd_obj.write("/​tmp/​3.txt")5xinetd_obj.write("/​tmp/​4.txt")6xinetd_obj.write("/​tmp/​5.txt")7xinetd_obj.write("/​tmp/​6.txt")8xinetd_obj.write("/​tmp/​7.txt")9xinetd_obj.write("/​tmp/​8.txt")10xinetd_obj.write("/​tmp/​9.txt")11xinetd_obj.write("/​tmp/​10.txt")

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