new_contents: """Codewars: Rainfall
  6 kyu
  
  URL: https://www.codewars.com/kata/56a32dd6e4f4748cc3000006/
  
  dataand data1 are two strings with rainfall records of a few cities for
  months from January to December. The records of towns are separated by \n.
  The name of each town is followed by :.
  
  data and towns can be seen in "Your Test Cases:".
  
  Task:
  function: mean(town, strng) should return the average of rainfall for the city
  town and the strng data or data1 (In R and Julia this function is called avg).
  function: variance(town, strng) should return the variance of rainfall for the
  city town and the strng data or data1.
  
  Examples:
  mean("London", data), 51.19(9999999999996) 
  variance("London", data), 57.42(833333333374)
  
  Notes:
  - if functions mean or variance have as parameter town a city which has no records
   return -1 or -1.0 (depending on the language)
  - Don't truncate or round: the tests will pass if abs(your_result - test_result)
    <= 1e-2 or abs((your_result - test_result) / test_result) <= 1e-6 depending
    on the language.
  - Shell tests only variance
  - A ref: http://www.mathsisfun.com/data/standard-deviation.html
    data and data1 (can be named d0 and d1 depending on the language;
    see "Sample Tests:") are adapted from: http://www.worldclimate.com
  """
  
  def mean(town, strng):
      pass
  
  
  def variance(town, strng):
      pass
  
  
  def main():
      data = """Rome:Jan 81.2,Feb 63.2,Mar 70.3,Apr 55.7,May 53.0,Jun 36.4,Jul 17.5,Aug 27.5,Sep 60.9,Oct 117.7,Nov 111.0,Dec 97.9
  London:Jan 48.0,Feb 38.9,Mar 39.9,Apr 42.2,May 47.3,Jun 52.1,Jul 59.5,Aug 57.2,Sep 55.4,Oct 62.0,Nov 59.0,Dec 52.9
  Paris:Jan 182.3,Feb 120.6,Mar 158.1,Apr 204.9,May 323.1,Jun 300.5,Jul 236.8,Aug 192.9,Sep 66.3,Oct 63.3,Nov 83.2,Dec 154.7
  NY:Jan 108.7,Feb 101.8,Mar 131.9,Apr 93.5,May 98.8,Jun 93.6,Jul 102.2,Aug 131.8,Sep 92.0,Oct 82.3,Nov 107.8,Dec 94.2
  Vancouver:Jan 145.7,Feb 121.4,Mar 102.3,Apr 69.2,May 55.8,Jun 47.1,Jul 31.3,Aug 37.0,Sep 59.6,Oct 116.3,Nov 154.6,Dec 171.5
  Sydney:Jan 103.4,Feb 111.0,Mar 131.3,Apr 129.7,May 123.0,Jun 129.2,Jul 102.8,Aug 80.3,Sep 69.3,Oct 82.6,Nov 81.4,Dec 78.2
  Bangkok:Jan 10.6,Feb 28.2,Mar 30.7,Apr 71.8,May 189.4,Jun 151.7,Jul 158.2,Aug 187.0,Sep 319.9,Oct 230.8,Nov 57.3,Dec 9.4
  Tokyo:Jan 49.9,Feb 71.5,Mar 106.4,Apr 129.2,May 144.0,Jun 176.0,Jul 135.6,Aug 148.5,Sep 216.4,Oct 194.1,Nov 95.6,Dec 54.4
  Beijing:Jan 3.9,Feb 4.7,Mar 8.2,Apr 18.4,May 33.0,Jun 78.1,Jul 224.3,Aug 170.0,Sep 58.4,Oct 18.0,Nov 9.3,Dec 2.7
  Lima:Jan 1.2,Feb 0.9,Mar 0.7,Apr 0.4,May 0.6,Jun 1.8,Jul 4.4,Aug 3.1,Sep 3.3,Oct 1.7,Nov 0.5,Dec 0.7"""
  
      def assertFuzzyEquals(actual, expected):
          merr = 1e-2
          inrange = abs(actual - expected) <= merr
          msg = ""
          if (inrange == False):
              msg = "abs(actual - expected) must be <= 1e-2. With 10 decimals: Expected was {:.10f} but got {:.10f}"
              msg = msg.format(expected, actual)
              print(msg)
          return Test.expect(inrange, msg)
  
      assertFuzzyEquals(mean("London", data), 51.199999999999996) 
      assertFuzzyEquals(mean("Beijing", data), 52.416666666666664)
  
      assertFuzzyEquals(variance("London", data), 57.42833333333374)
      assertFuzzyEquals(variance("Beijing", data), 4808.37138888889)
  
  
  if __name__ == '__main__':
      main()
  
subject: Add cw_rainfall.py