old_contents: import numpy as np
  import pandas
  
  def main():
  	data = pandas.read_csv('sarcasm_v2.csv').as_matrix()
  	# print(data.shape)
  	data[:, 0] = np.array([find_category(x) for x in data[:, 0]])
  	data[:, 1] = np.array([sarcasm(x) for x in data[:, 1]])
  	# print(data[0,1]) # should be 1 for sarcasm
  
  def find_category(category):
  	return {
          'GEN': 0, # general
          'HYP': 1, # hyperbole
  		'RQ': 2 # rhetorical question
      }[category]
  
  def sarcasm(sarcasm_value):
  	return {
  		'sarc': 1, # true for sarcasm
  		'notsarc': 0 # false for sarcasm
  	}[sarcasm_value]
  
  def get_data_index(ID):
  	'''find the index of the data point. Corresponds to 1234 in GEN_sarc_1234 under ID in data.
  	'''
  	# TODO: given a string as shown in the comment, extract the number in it, possibly with regex.
  
  if __name__ == '__main__':
  	main()
  
new_contents: import numpy as np
  import pandas
  
  def main():
  	data = pandas.read_csv('sarcasm_v2.csv').as_matrix()
  	# print(data.shape)
  	data[:, 0] = np.array([find_category(x) for x in data[:, 0]])
  	data[:, 1] = np.array([sarcasm(x) for x in data[:, 1]])
  	# print(data[0,1]) # should be 1 for sarcasm
  
  def find_category(category):
  	return {
          'GEN': 0, # general
          'HYP': 1, # hyperbole
  		'RQ': 2 # rhetorical question
      }[category]
  
  def sarcasm(sarcasm_value):
  	return {
  		'sarc': 1, # true for sarcasm
  		'notsarc': 0 # false for sarcasm
  	}[sarcasm_value]
  
  def get_data_index(ID):
  	'''find the index of the data point. Corresponds to 1234 in GEN_sarc_1234 under ID in data.
  	'''
  	# TODO: given a string as shown in the comment, extract the number in it, possibly with regex.
          # Test
  if __name__ == '__main__':
  	main()
  
subject: Add test comment