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"""
  Hello!
  
  Somebody has provided some data containg a list of donors, with their names, number of points, and frequency
  of publication. We need to do a couple of things with it:
  
  1) Output the name of each donor to the console, with their points next to their name, like this:
  
     > DFID: 55%
     
  2) Donors publishing quarterly can score a maximum of 95 points - we reduce their points a little by
     including a multiplier of .95. So, DFID should score only 52.25 points, not 55 points. We need to output that
     - it should look like this:
     
     > DFID scored 55, but scores 52.25 as they publish quarterly
     
  3) You should build upon / adapt the frequency_to_multiplier() function to convert the frequency to some multiplier, i.e.
  	 'monthly' => 1.0
     
  BTW: this is all fake data.
"""

# The data
data = { 'donors': [
{ 'name': 'DFID',
  'points': 55,
  'frequency': 'quarterly'},
{ 'name': 'USAID',
  'points': 70,
  'frequency': 'monthly'},
]}

def frequency_to_multiplier(value):
    if value == "quarterly":
        return 0.95
    return 1

# Add your code here
for donor in data['donors']:
    multiplier = frequency_to_multiplier(donor.get('frequency'))
    print "%s scored %s, but scores %s as they publish %s" % (donor['name'], 
                                                              donor['points'], 
                                                              donor['points'] * multiplier, 
                                                              donor['frequency'])

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