next_academy_solution_Anagrams_2:_Generating_Anagrams.rb

# 1. - Read  the word in the array
  # 1.1 Check the length of words(array) are the same 
  # 1.2 Check capatilization
  # 1.3 Break the words into individual array 
  # 1.4 Sort the alpabatical order (both, array&words)
  # 1.5 Compare the list

# 2. - print out the same words that = array[word] 

# include anagram_for method here

def canonical(word1,word2)
  word1==word2
end


def is_anagram?(word1,word2)
  return false if (word1.length != word2.length)
  	
  word1_temp=word1.downcase.split("").sort!
  word2_temp=word2.downcase.split("").sort!

  return true if canonical(word1_temp, word2_temp)
  false
end

def anagrams_for(word,array_word)
  list=[]
  empty_list=[]
  array_word.each{|word_in_list|
    if is_anagram?(word,word_in_list)
        #print word_in_list + " "
        list << word_in_list
    end
  }
  puts list.inspect
end


# initialization
dictionary=['acres','cares','Cesar','races','smelt','melts','etlsm']

#If the input word happens to be in the dictionary, it should be in the returned array too.
#The list should also be case-insensitive

anagrams_for('acres',dictionary)
puts anagrams_for('Acres',dictionary)
puts anagrams_for('Cesar',dictionary)

#Although "sacre" is not *in* the dictionary, several words in the dictionary are anagra,s of "sacre"
puts anagrams_for('sacre',dictionary)

#Neither the input word nor the words in the dictionary need to be valid English words 
#puts anagrams_for('etlsm',dictionary)

puts anagrams_for('unicorn',dictionary)  # => []