original_docstring: Creates the list of Words to be placed on the word cloud, using the given font,
           along with their collision boxes, their size based on their frequency
docstring: Creates the list of Words to be placed on the word cloud, using the given font,
  along with their collision boxes, their size based on their frequency
docstring_tokens: Creates the list of Words to be placed on the word cloud using the given font along with their collision boxes their size based on their frequency
code: def initialize_word_list(self):
          """Creates the list of Words to be placed on the word cloud, using the given font,
           along with their collision boxes, their size based on their frequency"""
  
          # the most frequent word is at the beginning of the list
          most_freq_word = self.word_freq[0]
          max_freq = most_freq_word[1]
  
          # initializing list of Words
          return [Word(w, f, font_size=self.get_relative_font_size(max_freq, f)) for w, f in self.word_freq]
code_tokens: def initialize_word_list ( self ) : most_freq_word = self . word_freq [ 0 ] max_freq = most_freq_word [ 1 ] return [ Word ( w , f , font_size = self . get_relative_font_size ( max_freq , f ) ) for w , f in self . word_freq ]
short_docstring: Creates the list of Words to be placed on the word cloud, using the given font,
  along with their collision boxes, their size based on their frequency
short_docstring_tokens: Creates the list of Words to be placed on the word cloud using the given font along with their collision boxes their size based on their frequency
comment: """Creates the list of Words to be placed on the word cloud, using the given font,
           along with their collision boxes, their size based on their frequency"""$SEP$# the most frequent word is at the beginning of the list$SEP$# initializing list of Words