some air

lib/linguist/classifier.rb

@@ -132,7 +132,7 @@ def language_probability(language)
 
     private
       def verbosity
-        @verbosity ||= (ENV['LINGUIST_DEBUG']||0).to_i
+        @verbosity ||= (ENV['LINGUIST_DEBUG'] || 0).to_i
       end
 
       # Internal: show a table of probabilities for each <token,language> pair.
@@ -146,19 +146,19 @@ def verbosity
       # appear in one language vs. the least-likely language.  Dashes
       # indicate the least-likely language (and zero points) for each token.
       def dump_all_tokens(tokens, languages)
-        maxlen = tokens.map{|tok| tok.size}.max
+        maxlen = tokens.map { |tok| tok.size }.max
         printf "%#{maxlen}s", ""
-        puts "    #" + languages.map{|lang| sprintf("%10s", lang)}.join
+        puts "    #" + languages.map { |lang| sprintf("%10s", lang) }.join
         tokmap = Hash.new(0)
-        tokens.each{|tok| tokmap[tok] += 1}
-        tokmap.sort.each{|tok, count|
-          arr = languages.map{|lang| [lang, token_probability(tok, lang)] }
-          min = arr.map{|a,b| b}.min
+        tokens.each { |tok| tokmap[tok] += 1 }
+        tokmap.sort.each { |tok, count|
+          arr = languages.map { |lang| [lang, token_probability(tok, lang)] }
+          min = arr.map { |a,b| b }.min
           minlog = Math.log(min)
-          if !arr.inject(true) {|result, n| result && n[1] == arr[0][1]}  # if not all the same
+          if !arr.inject(true) { |result, n| result && n[1] == arr[0][1] }
             printf "%#{maxlen}s%5d", tok, count
-            puts arr.map{|ent|
-              ent[1] == min ? "         -" : sprintf("%10.3f", count*(Math.log(ent[1])-minlog))
+            puts arr.map { |ent|
+              ent[1] == min ? "         -" : sprintf("%10.3f", count * (Math.log(ent[1]) - minlog))
             }.join
           end
         }